# Resolve AI — Full Content > Resolve AI is an AI Production Engineer that handles alerts, on-call, incidents, and operational tasks — so engineers can focus on building. This file concatenates the long-form content of Resolve AI's core product, company, and reference pages for LLM consumption. For the structured link index, see /llms.txt. --- # Agents run your software. Engineers run the agents. AI agents drive your on-call, incidents, and daily operational tasks in production. Engineers step in to direct and take action ## How Resolve AI works Agents for on-call, incidents, and operational tasks. Built on a platform that plugs into the production system you already operate **60+ integrations** across your code, infrastructure, telemetry, knowledge, and team tools. ## Agents that run your software Use Resolve's agents, build your own, or both. Same platform underneath. ### Resolve AI agents. #### On-call agents to manage alert volume Triage every alert, post findings before you’re paged, silence noise, and route to the right team ![Incidents](/visuals/product-overview/incidents-cowork.svg) #### Incidents agent that gets you to root cause Agent Teams investigate in parallel across code, infrastructure, and telemetry. Engineers steer through Workbench. #### Background agents that automate operational work Deployment monitoring, operational reports, and resource optimization on a schedule or on trigger #### Build your agents with Resolve AI capabilities Resolve is exposed as MCP, API, and skills. Your agents call Resolve for production context, investigation, and remediation, without rebuilding the primitives ### The platform underneath. Whether you use Resolve's agents or build your own, the same platform powers everything. #### Models Pairs frontier models with domain-specialized models post-trained on production, and picks the best model for the task. Handles orchestration with new models releases and runs custom evals to keep quality climbing. #### Context Builds a queryable graph of services, dependencies, deploys, and team knowledge that updates continuously. Every interaction becomes a new learning for the agents to retrieve in context. #### Governed actions Operates tools like an expert to get the right context in investigations. Takes actions within guardrails like silencing alerts, reverting commits, opening PRs, and executing GitHub workflows. #### Integrations 60+ pre-built integrations across code, infrastructure, observability, incident management, and CI/CD. Schema changes, auth rotations, and rate-limit handled automatically #### Security Define what runs autonomously and what requires approval, with permissions scoped across org, team, and individual levels. SOC 2, GDPR, and HIPAA aligned, with security controls applied across every layer of the platform. ## Teams running production with Resolve AI ![DoorDash](https://media.website-prod.resolve.ai/doordash_wide_3649425489.svg) > “With Resolve AI, we pull fewer engineers into war rooms, on-call is materially better, and that translates directly to advertiser trust and revenue protection for a billion-dollar ads business.” ## See Resolve AI in action. --- # Delegate on-call to agents Your on-call engineers start every shift with answers, not alerts ## Participates in every on-call rotation Autonomously investigates alerts and builds initial findings before the on-call engineer is paged ### Investigations Agents on every on-call rotation — triaging and investigating alerts in real time. ### Scrape Error Rate High: errors > 2% across 2 orgs on same integration ### Demo Org not Replying in Slack ### High Alert Reception Latency (p90 > 10 mins over 20 min window) ### RDS High Read IOPS: Instance is experiencing high read IOPS ## Triages and investigates your alerts Correlates signals across your observability stack, assesses severity, and identifies blast radius with evidence #### Transient metrics provider outage (HTTP 500) causing scrape failures #### Alert firing due to stale NoData KeepLast state #### 2 orgs with persistent UNAUTHORIZED errors due to missing events_read scope ### Runbook conclusion The metrics provider API had a transient outage affecting **27 orgs**' alert scrapes in orders-prod-cluster. The error spike was brief and self-resolved; the alert fired late because of stale evaluation. **No action required — this is provider-side.** ### Alert Details - **Breach:** up to **4 orgs** exceeded the 2% error rate on the metrics-provider integration in orders-prod-cluster. - **Timeline:** spike at 9:54pm, peaked at 4 orgs at 9:59pm, back to baseline by 10:10pm. Alert fired at 10:26pm. ### Impact - **Blast radius:** 27 orgs affected by transient API errors on scrapeType=alerts. - **Customer-facing:** none — spike resolved before page-load impact. ## Resolves alerts without changing context Silences noise, executes GitHub Actions, and routes to the right team. Engineers approve or let agents handle known patterns autonomously ### Silence alert: Checkout p95 latency above threshold #### Silence Alert ## Silence alert "Checkout p95 latency above threshold"? This will create a silence in your monitoring platform immediately. The following actions will be performed: #### Silence Alert ## Available in your collaboration tools Findings, priority lists, and actions surface in Slack, MS Teams, CLI, Resolve AI, or your own agent Missing schema migrations on `orders-db` causing transaction rollbacks. Rollback ratio crossed 2% threshold at 08:19Z. ### Top 3 priorities - Apply `orders-db` migrationshigh - Investigate checkout p95 spikemed - Review `checkout-v2` revert PRlow ## Used and loved by engineers Removing the toil of investigations, war rooms, and on-call. “We pull fewer engineers into war rooms, on-call is materially better, and that translates directly to advertiser trust and revenue protection.” ![Shahrooz Ansari](/_next/image?url=https%3A%2F%2Fmedia.website-prod.resolve.ai%2FShahrooz_Ansari_16b333dc2a.jpeg&w=3840&q=75) Shahrooz Ansari Sr. Director of Engineering, DoorDash “I don't need more numbers or more data. What I need is a root cause.” ![Chris Umbel](/_next/image?url=https%3A%2F%2Fmedia.website-prod.resolve.ai%2Fchrisumbelbw_83f5ffd333.png&w=3840&q=75) Chris Umbel AIOps Lead & SRE, Zscaler “Resolve AI proved it could deliver real results in a constrained environment. It identified dependencies, surfaced accurate root causes 73% faster than our teams, all while integrating cleanly into our existing stack.” ![Angelo Marletta](/_next/image?url=https%3A%2F%2Fmedia.website-prod.resolve.ai%2FAngelo_Marletta_6f49effb20.jpeg&w=3840&q=75) Angelo Marletta Staff Software Engineer, Coinbase “Resolve AI makes our junior on-call engineers as effective as our seniors, flattening the experience curve. We've seen a 2x productivity lift while eliminating the runbook gap.” ![A.D.](/_next/image?url=%2Fimages%2Ftestimonials%2Fplaceholder-avatar.svg&w=3840&q=75) A.D. Sr. Director of Engineering, Financial Services Company “We pull fewer engineers into war rooms, on-call is materially better, and that translates directly to advertiser trust and revenue protection.” ![Shahrooz Ansari](/_next/image?url=https%3A%2F%2Fmedia.website-prod.resolve.ai%2FShahrooz_Ansari_16b333dc2a.jpeg&w=3840&q=75) Shahrooz Ansari Sr. Director of Engineering, DoorDash “I don't need more numbers or more data. What I need is a root cause.” ![Chris Umbel](/_next/image?url=https%3A%2F%2Fmedia.website-prod.resolve.ai%2Fchrisumbelbw_83f5ffd333.png&w=3840&q=75) Chris Umbel AIOps Lead & SRE, Zscaler “Resolve AI proved it could deliver real results in a constrained environment. It identified dependencies, surfaced accurate root causes 73% faster than our teams, all while integrating cleanly into our existing stack.” ![Angelo Marletta](/_next/image?url=https%3A%2F%2Fmedia.website-prod.resolve.ai%2FAngelo_Marletta_6f49effb20.jpeg&w=3840&q=75) Angelo Marletta Staff Software Engineer, Coinbase “Resolve AI makes our junior on-call engineers as effective as our seniors, flattening the experience curve. We've seen a 2x productivity lift while eliminating the runbook gap.” ![A.D.](/_next/image?url=%2Fimages%2Ftestimonials%2Fplaceholder-avatar.svg&w=3840&q=75) A.D. Sr. Director of Engineering, Financial Services Company ## Recent updates. - May 2026Autonomous alert triageEvery alert investigated automatically, 24/7. - May 2026Alert resolutionAgents take action directly, including silencing and GitHub Actions. - May 2026Deployment monitoringAgents watch rollouts and investigate before alerts fire. - April 2026Adaptive learningTriage quality improves with agent teams and engineer corrections. ## Frequently asked questions ### How does Resolve get my alerts? ### Does this replace my on-call rotation? ### What if the agent gets it wrong? ### Can agents take action autonomously? ### What observability tools does it work with? ### How is this different from alert correlation tools? ## See on-call agents in your environment. --- # Co-work with agents and engineers to resolve incidents Agent Teams investigate incidents in parallel. Engineers steer and remediate through Workbench ## Specialized agents for harder investigations A team of domain-specialized agents investigates in parallel and verifies findings against production evidence, the way a war room of senior engineers would ## Work alongside your agents in Workbench Interrogate every finding, evidence, or theory by just interacting with the report ## What happened Alert fired at Wed May 6 1:19am for **PostgreSQL High Rollback Rate** on `pgdb-orders-instance-3` (database: `orders`, cluster: `orders-db-cluster`). Rollback ratio was **~2.2%** at alert time, with peaks up to **4.3%**. **Alert cleared at** Wed May 6 1:29am (~10 minutes after firing). Chronic schema drift on `orders-db-cluster` — missing `event_outcome` column and `order_doc_state` table. The `order_doc_state` escalation was the acute trigger that pushed rollback ratio above threshold. **Errors stopped at ~**Wed May 6 7:33am, indicating remediation (migrations) was applied. ## Root cause ### Missing database migrations on orders-db-cluster Drizzle migrations `0335_event_outcome_column.sql` and `0337_quick_argent.sql` were never applied to the `orders-db-cluster` orders database. Application code deployed 8–13 days earlier references schema objects that don't exist, causing every transaction touching them to roll back. Causal chain: ## Investigate with your team, agents, or on your own Pursue parallel hypotheses, redirect agents, and add context as new evidence emerges Main Investigation Follow the agent's reasoning and steer it directly Search for 5xx HTTP errors during the deadlock window Verify PostgreSQL deadlock issue resolution status What triggered the scaling event on October 23? ## What happened PostgreSQL deadlock alert fired on **Thu October 23, 2025 4:55pm** for the orders database on `pgdb-orders-instance-2`. The `order-events-ingest` service's `OrderReconciler` experienced **25 deadlocks** over 14 minutes when attempting to batch update order events with resolution timestamps. ## Impact - **100% error rate** on `updateOrderEvent` API for 2 minutes - **456-second latency spike** on `getOrderEventCounts` API - **68% error rate** on `spanRequest` API - **12+ downstream services** affected including investigation system and analytics APIs - Self-resolved when load normalized; no data loss ## Root cause **Confirmed (HIGH confidence):** Lack of deterministic lock ordering in `batchUpdateOrderEvents()` method. The SQL VALUES clause processes order IDs in arbitrary iteration order, allowing concurrent requests to acquire row locks in different sequences. A scaling event deployed ~27 new pods (vs baseline 1–2), dramatically increasing concurrency and triggering circular lock dependencies. ## Gets you to verified root cause Every finding is backed by production evidence for you to verify or explore further ## Missing schema migrations on `orders-db` causing transaction rollbacks Two schema migrations — adding the `event_outcome` column and the `order_doc_state` table — were merged but never applied to `orders-db`. The migration runner is invoked manually rather than through the deploy pipeline, so the cluster was silently overlooked. When a morning deployment triggered a traffic surge, transactions hit the missing schema and the rollback ratio crossed the 2% alert threshold. Applying both migrations cleared the errors. ## Remediate from the same surface Trigger commit reverts, GitHub Actions, and alert silencing without leaving the context or interface ## Revert: disable `checkout-v2-routing` in production Revert recent enablement of `enableCheckoutV2Routing`, identified as the trigger for elevated p95 latency on `checkout-router`. Restores the previous routing path. This change: - Sets `enableCheckoutV2Routing: false` in `helm/values/production/values.yaml` ## Used and loved by engineers Removing the toil of investigations, war rooms, and on-call. “We pull fewer engineers into war rooms, on-call is materially better, and that translates directly to advertiser trust and revenue protection.” ![Shahrooz Ansari](/_next/image?url=https%3A%2F%2Fmedia.website-prod.resolve.ai%2FShahrooz_Ansari_16b333dc2a.jpeg&w=3840&q=75) Shahrooz Ansari Sr. Director of Engineering, DoorDash “I don't need more numbers or more data. What I need is a root cause.” ![Chris Umbel](/_next/image?url=https%3A%2F%2Fmedia.website-prod.resolve.ai%2Fchrisumbelbw_83f5ffd333.png&w=3840&q=75) Chris Umbel AIOps Lead & SRE, Zscaler “Resolve AI proved it could deliver real results in a constrained environment. It identified dependencies, surfaced accurate root causes 73% faster than our teams, all while integrating cleanly into our existing stack.” ![Angelo Marletta](/_next/image?url=https%3A%2F%2Fmedia.website-prod.resolve.ai%2FAngelo_Marletta_6f49effb20.jpeg&w=3840&q=75) Angelo Marletta Staff Software Engineer, Coinbase “Resolve AI makes our junior on-call engineers as effective as our seniors, flattening the experience curve. We've seen a 2x productivity lift while eliminating the runbook gap.” ![A.D.](/_next/image?url=%2Fimages%2Ftestimonials%2Fplaceholder-avatar.svg&w=3840&q=75) A.D. Sr. Director of Engineering, Financial Services Company “We pull fewer engineers into war rooms, on-call is materially better, and that translates directly to advertiser trust and revenue protection.” ![Shahrooz Ansari](/_next/image?url=https%3A%2F%2Fmedia.website-prod.resolve.ai%2FShahrooz_Ansari_16b333dc2a.jpeg&w=3840&q=75) Shahrooz Ansari Sr. Director of Engineering, DoorDash “I don't need more numbers or more data. What I need is a root cause.” ![Chris Umbel](/_next/image?url=https%3A%2F%2Fmedia.website-prod.resolve.ai%2Fchrisumbelbw_83f5ffd333.png&w=3840&q=75) Chris Umbel AIOps Lead & SRE, Zscaler “Resolve AI proved it could deliver real results in a constrained environment. It identified dependencies, surfaced accurate root causes 73% faster than our teams, all while integrating cleanly into our existing stack.” ![Angelo Marletta](/_next/image?url=https%3A%2F%2Fmedia.website-prod.resolve.ai%2FAngelo_Marletta_6f49effb20.jpeg&w=3840&q=75) Angelo Marletta Staff Software Engineer, Coinbase “Resolve AI makes our junior on-call engineers as effective as our seniors, flattening the experience curve. We've seen a 2x productivity lift while eliminating the runbook gap.” ![A.D.](/_next/image?url=%2Fimages%2Ftestimonials%2Fplaceholder-avatar.svg&w=3840&q=75) A.D. Sr. Director of Engineering, Financial Services Company ## Recent updates. - May 2026Agent TeamsSpecialized agents investigating in parallel with verified findings. - May 2026WorkbenchShared workspace with real-time visibility and engineer steering. - May 2026Closed-loop actionsCommit reverts, GitHub Actions, and alert silencing from investigation findings. - April 2026Adaptive knowledgeEvery investigation makes the platform smarter. ## Frequently asked questions ### How is this different from a single AI agent investigating? ### Can I steer the investigation while agents are working? ### What happens after root cause is found? ### How does verification work? ### How many agents investigate at once? ### Does this work with my existing incident management tools? ## See incident investigation in your environment. --- # Run operational tasks with background agents Proactively run tasks like deployment monitoring, operational reports, and resource optimization on a schedule or on trigger ## Automate tasks on schedule or on trigger Run your workflows on a cadence, or fire agents on event triggers like deploys, alerts, and other production events ### Engineering Deploy's Agent Watches #engineering for deploys; runs post-deploy health checks. On deploy event ### Daily Pulse Posts daily deploy + incident digest at 7 AM PT. Daily at 7:00 AM ### PostgreSQL Watch Monitors orders-db-cluster for query regressions and lock contention. On alert event ### Capacity Review Weekly resource-utilization report across clusters and services. Weekly · Fridays ## Configure agents across all your operational work Tasks like deployment monitoring, operational reports, resource optimization, and more with a template library to start from ### Deploy Health Skill Triggered by a deploy notification in `#engineering` (compare URL, smoke test link, "deploy kicked off"). Post all updates in the deploy thread. ## Environments | Environment | Type | Log channel | Cluster | | --- | --- | --- | --- | | dev0 | Pre-prod (staging) | #engineering-log-dev | dev0-cluster | | app0 | Production | #engineering-log-prod | app0-cluster | | rocket | Production (dogfood) | #engineering-log-prod | app0-cluster | **Environment progression:** `dev0` → `app0` → `rocket`. Each gates the next. ## Conventions - **Deploy tag:** `{github_run_id}.{attempt}-{7_char_sha}` (e.g. `24893095514.1-dac7506`). The `github_run_id` is the dev0 build run, not the prod deploy run. - **Tone:** Operational. Lead with what broke, what's at risk, what's next. ## Pipeline gate Before running the health check, verify the prod deploy pipeline completed successfully for this deploy tag (`Deploy to Cells` workflow for app0, `Deploy to Rocket from Cells` for rocket). ## Start your day with a curated priority list Background agents pre-investigate every item so you open Resolve to verified findings and recommended next steps **Good morning.** Overnight, agents reviewed 47 items across 6 channels. 4 need your attention · 2 scheduled for today · 41 resolved cleanly #### Production deploy queued behind in-progress run Finding: Deploy 8ab7b0a hasn't started on app0-cluster — previous deploy still in progress. Health check will run once the rollout begins. Investigated · 4 min ago #### Daily summary skipped — agent stale at run window Finding: Scheduled 8:00 AM run did not fire — agent was unresponsive between 04:35–16:29 UTC. Will resume on the next scheduled run tomorrow. Investigated · 11 min ago #### checkout-router: p99 latency drifted +172% post-deploy Finding: Likely candidate: new code path in order-fulfillment.ts hits a slow query at p99 only under load. Re-checking after next traffic window. Investigated · 38 min ago #### auth-gateway rollback after 4m (deploy-time CI signal) Finding: Caught at deploy time and rolled back cleanly. No customer impact recorded. No further action needed. Investigated · 11h ago ## Chat with your agents to dig in Use chat for live debugging, multi-turn investigations, or to trigger background agents on demand What's going on with checkout-router p99 today? Is it the deploy at 10:14 PT? **Yes — drift starts ~2h after the deploy.** p99 was steady at ~142ms through 12:00 PT, then climbed to **~387ms** as traffic ramped. Likely candidate: new code path in order-fulfillment.ts hits a slow query at p99 only under load. Error rate and throughput look normal — this is latency-only. Set up an agent to watch checkout-router latency after every deploy going forward. Alert me if drift >25% within 2h. Done. I'll watch every deploy that touches checkout-router and alert you if p99 drifts more than 25% within 2 hours. Background agent created checkout-router latency watch · Triggers on deploy event · Alerts if p99 drift > 25% within 2h ## Used and loved by engineers Removing the toil of investigations, war rooms, and on-call. “We pull fewer engineers into war rooms, on-call is materially better, and that translates directly to advertiser trust and revenue protection.” ![Shahrooz Ansari](/_next/image?url=https%3A%2F%2Fmedia.website-prod.resolve.ai%2FShahrooz_Ansari_16b333dc2a.jpeg&w=3840&q=75) Shahrooz Ansari Sr. Director of Engineering, DoorDash “I don't need more numbers or more data. What I need is a root cause.” ![Chris Umbel](/_next/image?url=https%3A%2F%2Fmedia.website-prod.resolve.ai%2Fchrisumbelbw_83f5ffd333.png&w=3840&q=75) Chris Umbel AIOps Lead & SRE, Zscaler “Resolve AI proved it could deliver real results in a constrained environment. It identified dependencies, surfaced accurate root causes 73% faster than our teams, all while integrating cleanly into our existing stack.” ![Angelo Marletta](/_next/image?url=https%3A%2F%2Fmedia.website-prod.resolve.ai%2FAngelo_Marletta_6f49effb20.jpeg&w=3840&q=75) Angelo Marletta Staff Software Engineer, Coinbase “Resolve AI makes our junior on-call engineers as effective as our seniors, flattening the experience curve. We've seen a 2x productivity lift while eliminating the runbook gap.” ![A.D.](/_next/image?url=%2Fimages%2Ftestimonials%2Fplaceholder-avatar.svg&w=3840&q=75) A.D. Sr. Director of Engineering, Financial Services Company “We pull fewer engineers into war rooms, on-call is materially better, and that translates directly to advertiser trust and revenue protection.” ![Shahrooz Ansari](/_next/image?url=https%3A%2F%2Fmedia.website-prod.resolve.ai%2FShahrooz_Ansari_16b333dc2a.jpeg&w=3840&q=75) Shahrooz Ansari Sr. Director of Engineering, DoorDash “I don't need more numbers or more data. What I need is a root cause.” ![Chris Umbel](/_next/image?url=https%3A%2F%2Fmedia.website-prod.resolve.ai%2Fchrisumbelbw_83f5ffd333.png&w=3840&q=75) Chris Umbel AIOps Lead & SRE, Zscaler “Resolve AI proved it could deliver real results in a constrained environment. It identified dependencies, surfaced accurate root causes 73% faster than our teams, all while integrating cleanly into our existing stack.” ![Angelo Marletta](/_next/image?url=https%3A%2F%2Fmedia.website-prod.resolve.ai%2FAngelo_Marletta_6f49effb20.jpeg&w=3840&q=75) Angelo Marletta Staff Software Engineer, Coinbase “Resolve AI makes our junior on-call engineers as effective as our seniors, flattening the experience curve. We've seen a 2x productivity lift while eliminating the runbook gap.” ![A.D.](/_next/image?url=%2Fimages%2Ftestimonials%2Fplaceholder-avatar.svg&w=3840&q=75) A.D. Sr. Director of Engineering, Financial Services Company ## Recent updates. - May 2026Scheduled workflowsProactive, time-triggered checks on a cadence. - May 2026Deployment monitoringAgents watch rollouts and investigate before alerts fire. - April 2026Adaptive learningAutomated knowledge capture after every interaction. ## Frequently asked questions ### What kinds of tasks can I automate? ### How do I get started? ### What triggers are supported? ### What shows up in the priority list? ### Can I dig into a priority list item? ### What's the difference between org, team, and personal agents? ### Can automated workflows trigger deeper investigations? ## See background agents in your environment. --- # Build custom agents on Resolve AI Compose Resolve AI primitives into your own agents and existing workflows. Use context, investigation, and remediation without rebuilding them ## Build your own agents on Resolve Resolve is exposed as MCP, API, and Skills. Your agents call Resolve for production context, investigation, and remediation, without rebuilding the primitives **Root cause:** Connection pool exhaustion, not CPU. RDS CPU is ~10% (baseline). All 80 connections on the primary are held by one long-running reporting query (running 8m), blocking new checkout transactions since 14:18 UTC. - Terminate blocking query pid 18472 to free connections immediately. - **Suggested fix:** Add statement_timeout = '30s' to the reporting-service DB role at db/roles/reporting.tf:42. - Follow-up: rewrite the aggregation in report_engine.go:142 to avoid full scans. ## Use Resolve in the workflows your team already lives in Call Resolve from Slack, your CLI, your IDE, or another agent. Production context and remediation surface wherever your engineers already work ### 12 customer tickets in 15m: “can’t complete checkout” ## Plug your skills into Resolve Resolve consumes the runbooks, internal tools, and tribal knowledge your team has already built. Every investigation uses what you already have ### pg-replication-lag ### kafka-consumer-lag ### deploy-health-check ### rds-cpu-investigation ### oncall-handoff ### incident-postmortem ## Used and loved by engineers Removing the toil of investigations, war rooms, and on-call “We pull fewer engineers into war rooms, on-call is materially better, and that translates directly to advertiser trust and revenue protection.” ![Shahrooz Ansari](/_next/image?url=https%3A%2F%2Fmedia.website-prod.resolve.ai%2FShahrooz_Ansari_16b333dc2a.jpeg&w=3840&q=75) Shahrooz Ansari Sr. Director of Engineering, DoorDash “I don't need more numbers or more data. What I need is a root cause.” ![Chris Umbel](/_next/image?url=https%3A%2F%2Fmedia.website-prod.resolve.ai%2Fchrisumbelbw_83f5ffd333.png&w=3840&q=75) Chris Umbel AIOps Lead & SRE, Zscaler “Resolve AI proved it could deliver real results in a constrained environment. It identified dependencies, surfaced accurate root causes 73% faster than our teams, all while integrating cleanly into our existing stack.” ![Angelo Marletta](/_next/image?url=https%3A%2F%2Fmedia.website-prod.resolve.ai%2FAngelo_Marletta_6f49effb20.jpeg&w=3840&q=75) Angelo Marletta Staff Software Engineer, Coinbase “Resolve AI makes our junior on-call engineers as effective as our seniors, flattening the experience curve. We've seen a 2x productivity lift while eliminating the runbook gap.” ![A.D.](/_next/image?url=%2Fimages%2Ftestimonials%2Fplaceholder-avatar.svg&w=3840&q=75) A.D. Sr. Director of Engineering, Financial Services Company “We pull fewer engineers into war rooms, on-call is materially better, and that translates directly to advertiser trust and revenue protection.” ![Shahrooz Ansari](/_next/image?url=https%3A%2F%2Fmedia.website-prod.resolve.ai%2FShahrooz_Ansari_16b333dc2a.jpeg&w=3840&q=75) Shahrooz Ansari Sr. Director of Engineering, DoorDash “I don't need more numbers or more data. What I need is a root cause.” ![Chris Umbel](/_next/image?url=https%3A%2F%2Fmedia.website-prod.resolve.ai%2Fchrisumbelbw_83f5ffd333.png&w=3840&q=75) Chris Umbel AIOps Lead & SRE, Zscaler “Resolve AI proved it could deliver real results in a constrained environment. It identified dependencies, surfaced accurate root causes 73% faster than our teams, all while integrating cleanly into our existing stack.” ![Angelo Marletta](/_next/image?url=https%3A%2F%2Fmedia.website-prod.resolve.ai%2FAngelo_Marletta_6f49effb20.jpeg&w=3840&q=75) Angelo Marletta Staff Software Engineer, Coinbase “Resolve AI makes our junior on-call engineers as effective as our seniors, flattening the experience curve. We've seen a 2x productivity lift while eliminating the runbook gap.” ![A.D.](/_next/image?url=%2Fimages%2Ftestimonials%2Fplaceholder-avatar.svg&w=3840&q=75) A.D. Sr. Director of Engineering, Financial Services Company ## Recent updates. - May 2026MCP server betaCall Resolve AI from any MCP-compatible client - April 2026Public APIProgrammatic access to Resolve AI primitives ## Frequently asked questions ### How do I get started building a custom agent? ### What can I bring from my existing setup? ### How do agents access internal tools? ### Is this only for technical teams? ### What is the security model? ### Can I run Resolve fully self-hosted? ## Build agents that fit your stack --- # AI agents that work with your prod Easily connect Resolve AI with your observability, infra, code, and custom tools using MCP, APIs, and webhooks. ## Extensive library of integrations ![Google Cloud](/_next/image?url=https%3A%2F%2Fmedia.website-prod.resolve.ai%2F1527e855a01eae45cc4241174f1f39800b642b3a_0bf249143d.png&w=3840&q=75) ![Grafana](/_next/image?url=https%3A%2F%2Fmedia.website-prod.resolve.ai%2FGrafana_Labs_logo_547df65857.png&w=3840&q=75) ![Kubernetes](/_next/image?url=https%3A%2F%2Fmedia.website-prod.resolve.ai%2FKubernetes_logo_7958ff5df5.png&w=3840&q=75) ![Datadog](/_next/image?url=https%3A%2F%2Fmedia.website-prod.resolve.ai%2FDatadog_logo_75993c768d.png&w=3840&q=75) ![Github](/_next/image?url=https%3A%2F%2Fmedia.website-prod.resolve.ai%2FGit_Hub_logo_f380e38415.png&w=3840&q=75) ![Splunk](/_next/image?url=https%3A%2F%2Fmedia.website-prod.resolve.ai%2FSplunk_logo_c7f8b23d41.png&w=3840&q=75) ![custom-tool](/_next/image?url=https%3A%2F%2Fmedia.website-prod.resolve.ai%2FCustom_Tools_logo_7fc5b51595.png&w=3840&q=75) ![Prometheus](/_next/image?url=https%3A%2F%2Fmedia.website-prod.resolve.ai%2FPrometheus_logo_1752a63d3f.png&w=3840&q=75) ![Kloudfuse](/_next/image?url=https%3A%2F%2Fmedia.website-prod.resolve.ai%2FKloudfuse_logo_2eceedb01f.png&w=3840&q=75) ![Slack ](/_next/image?url=https%3A%2F%2Fmedia.website-prod.resolve.ai%2FSlack_logo_c87abfda26.png&w=3840&q=75) ![Chronosphere](/_next/image?url=https%3A%2F%2Fmedia.website-prod.resolve.ai%2FChronosphere_logo_449439d82b.png&w=3840&q=75) ![Amazon Web Services](/_next/image?url=https%3A%2F%2Fmedia.website-prod.resolve.ai%2FAmazon_Web_Services_logo_a66dee79dd.png&w=3840&q=75) ![Google Cloud](/_next/image?url=https%3A%2F%2Fmedia.website-prod.resolve.ai%2F1527e855a01eae45cc4241174f1f39800b642b3a_0bf249143d.png&w=3840&q=75) ![Grafana](/_next/image?url=https%3A%2F%2Fmedia.website-prod.resolve.ai%2FGrafana_Labs_logo_547df65857.png&w=3840&q=75) ![Kubernetes](/_next/image?url=https%3A%2F%2Fmedia.website-prod.resolve.ai%2FKubernetes_logo_7958ff5df5.png&w=3840&q=75) ![Datadog](/_next/image?url=https%3A%2F%2Fmedia.website-prod.resolve.ai%2FDatadog_logo_75993c768d.png&w=3840&q=75) 1 of 16 - [Google Cloud](/integrations/google-cloud) - Grafana - [Kubernetes](/integrations/kubernetes) - [Datadog](/integrations/datadog) - Github - Splunk - custom-tool - Prometheus - Kloudfuse - Slack - Chronosphere - [Amazon Web Services](/integrations/aws) - Notion - Elastic - Dynatrace - Google Cloud - OpenSearch - Victoria Metrics - Scalyr - Honeycomb.io - Sumo Logic - Atlassian - Logz.io - Sentry - new relic - Linear - PagerDuty - ServiceNow - DNS - snowflake - Confluence - GitLab - Microsoft Teams - bitbucket - Okta - Microsoft Entra - Rippling - argo - Argus - Backstage - Clickhouse - Grafana Pyroscope - Humio - Solarwinds - Upwind - Wavefront - Logzilla - Webex - temporal - Microsoft Azure - Azure DevOps - Buildkite - glean - Jenkins - Opsgenie - launchdarkly - zendesk - cloudflare - rapid7 - terraform - satsig ## Flexible and secure integrations ![](/_next/image?url=https%3A%2F%2Fmedia.website-prod.resolve.ai%2FIcon5_e2a30c69d5.svg&w=3840&q=75) ### Connect your way Flexible options with MCP, APIs, and Webhooks to add tooling. ![](/_next/image?url=https%3A%2F%2Fmedia.website-prod.resolve.ai%2FIcon3_773a83d203.svg&w=3840&q=75) ### BYO Custom tooling Plug into custom tools, feature flags, or bespoke systems for change events. ![](/_next/image?url=https%3A%2F%2Fmedia.website-prod.resolve.ai%2FIcon6_2741a89862.svg&w=3840&q=75) ### Only data that matters Logs, traces, metrics, events, infra, and code. That's it. ![](/_next/image?url=https%3A%2F%2Fmedia.website-prod.resolve.ai%2FIcon_6c26dc4257.svg&w=3840&q=75) ### Tightly scoped permissions Read-only access to the minimum data needed to understand, reason, and act with confidence. ![](/_next/image?url=https%3A%2F%2Fmedia.website-prod.resolve.ai%2FIcon2_4c0562a989.svg&w=3840&q=75) ### Advanced Control Token or API keys for auth and encrypted and private connections. ![](/_next/image?url=https%3A%2F%2Fmedia.website-prod.resolve.ai%2FIcon4_9db05b16a2.svg&w=3840&q=75) ### Data Redaction No PII, PHI, or sensitive data. Minimal data required to deliver value - redaction is quick and easy. ## Easily add Resolve AI from popular marketplaces ![AWS Marketplace](/_next/image?url=https%3A%2F%2Fmedia.website-prod.resolve.ai%2FAWS_d7ccfd6053.svg&w=3840&q=75) ![AWS Marketplace](/_next/image?url=https%3A%2F%2Fmedia.website-prod.resolve.ai%2FAWS_d7ccfd6053.svg&w=3840&q=75) Leverage your existing AWS agreement to start using Resolve AI. ![Slack Marketplace](/_next/image?url=https%3A%2F%2Fmedia.website-prod.resolve.ai%2F1707836872slack_logo_png_c174d0dc38.png&w=3840&q=75) ![Slack Marketplace](/_next/image?url=https%3A%2F%2Fmedia.website-prod.resolve.ai%2F1707836872slack_logo_png_c174d0dc38.png&w=3840&q=75) Add Resolve AI to your Slack experience in a few clicks. ## Need another integration to get started? Share your integration requirements here. --- # Building the future of agentic software engineering and SRE From the engineers behind OpenTelemetry, Splunk Observability, and DeepMind. Backed by AI pioneers and builders of Enterprise Software. ![Hero graph image](/_next/image?url=https%3A%2F%2Fresolve-prod-strapi-bucket.s3.us-east-2.amazonaws.com%2FWhy_resolve_agents_aef7cdacb9.svg&w=1080&q=75) ![semi-circle-shape](/_next/image?url=%2Fshapes%2Fgreen-semi-circle.svg&w=3840&q=75) ![square-shape](/_next/image?url=%2Fshapes%2Fgreen-square.svg&w=3840&q=75) ![shrinked-square-shape](/_next/image?url=%2Fshapes%2Fgreen-shrinked-square.svg&w=3840&q=75) ![bell-shape](/_next/image?url=%2Fshapes%2Fgreen-bell.svg&w=3840&q=75) ## Used daily in the most complex production environments Resolve AI is helping engineering teams reimagine work with a multi-agent AI SRE that triages alerts, investigates complex issues, and operates autonomously in the most demanding environments across clouds and regions. ![company logo](/_next/image?url=https%3A%2F%2Fresolve-prod-strapi-bucket.s3.us-east-2.amazonaws.com%2FCoinbase_Wordmark_black2_07348e305b.svg&w=256&q=75) ![company logo](/_next/image?url=https%3A%2F%2Fresolve-prod-strapi-bucket.s3.us-east-2.amazonaws.com%2FDoor_Dash_Logo_black_2a4c4bddb8.svg&w=256&q=75) ![company logo](/_next/image?url=https%3A%2F%2Fresolve-prod-strapi-bucket.s3.us-east-2.amazonaws.com%2FMSCI_0eadf1532a_0530715fd3.svg&w=3840&q=75) ![company logo](/_next/image?url=https%3A%2F%2Fresolve-prod-strapi-bucket.s3.us-east-2.amazonaws.com%2FZS_BIG_black2_26b9015bf1.svg&w=256&q=75) ![company logo](/_next/image?url=https%3A%2F%2Fresolve-prod-strapi-bucket.s3.us-east-2.amazonaws.com%2Fgametime_logo_black_473d8942af_a21a0f27eb.svg&w=256&q=75) #### On-call 24/7 AI SRE that is always debugging Instantly goes on-call triaging and debugging incidents with full context across telemetry, infra, code, and tools. #### 5 minutes to root cause with evidence Multi hop incidents investigated autonomously with evidence in minutes not hours. #### Single interface for all of your productions systems @Resolve to easily understand production complexity in seconds to build better, and ship faster. ## From the creators of OpenTelemetry and Splunk Observability 100+ builders in San Francisco, creating the Agentic future of software engineering and SRE. ![check icon](/_next/image?url=https%3A%2F%2Fmedia.website-prod.resolve.ai%2Fcheck_icon_0472117a8b.svg&w=256&q=75) #### Creators of Observability Standards Over two decades of building and standardizing global observability standards by co-creating OpenTelemetry and leading Splunk Observability. ![check icon](/_next/image?url=https%3A%2F%2Fmedia.website-prod.resolve.ai%2Fcheck_icon_0472117a8b.svg&w=256&q=75) #### AI Researchers from leading labs Deep AI expertise with the minds behind Google DeepResearch, Gemini Agents, and more. ## AI agents built for software engineering and SRE Resolve AI is a coordinated multi-agent system that reasons, understands, acts, and learns across your entire production software stack for autonomous incident investigations, cost optimizations, and building software with production context ![Resolve AI Logo](/_next/image?url=%2Ficons%2Flogo.svg&w=256&q=75) #### Builds Complete Production Context Transforms scattered documentation, telemetry, and observability data into searchable, contextual memory. #### Reasons through complexity Formulates plans, tests hypotheses, surfaces root causes with evidence, and explains outcomes. #### Uses tools like humans do Uses production tools to propose or execute changes, like generating GitHub pull requests or adjusting service configurations. #### Builds memories to continuously improve Observes interactions, decisions, outcomes, and direct feedback to improve reasoning accuracy over time. ## Backed by AI pioneers and builders of Enterprise Software Leaders who didn’t just predict the AI and cloud revolutions, they architected them. #### AI Visionaries ![](/_next/image?url=https%3A%2F%2Fmedia.website-prod.resolve.ai%2FFei_e363498bdf.png&w=3840&q=75) Prof. Stanford University; Co-Dir. Stanford Human-Centered AI Institute ![](/_next/image?url=https%3A%2F%2Fmedia.website-prod.resolve.ai%2FJeff_D_d2cda0347a.png&w=3840&q=75) Chief Scientist at Google, creator of TensorFlow ![](/_next/image?url=https%3A%2F%2Fmedia.website-prod.resolve.ai%2FReid_9a51a7e622.png&w=3840&q=75) Founder, LinkedIn ![](/_next/image?url=https%3A%2F%2Fmedia.website-prod.resolve.ai%2FAmjad_8e49654faf.png&w=3840&q=75) CEO & Co-founder, Replit ![](/_next/image?url=https%3A%2F%2Fmedia.website-prod.resolve.ai%2FSrinivas_028bb5d497.png&w=3840&q=75) VP of Engineering, OpenAI #### Founders & CEOs ![](/_next/image?url=https%3A%2F%2Fmedia.website-prod.resolve.ai%2FMatt_7c92da3364.png&w=3840&q=75) CEO, AWS ![](/_next/image?url=https%3A%2F%2Fmedia.website-prod.resolve.ai%2FThomas_8cd8009aba.png&w=3840&q=75) Former CEO, GitHub ![](/_next/image?url=https%3A%2F%2Fmedia.website-prod.resolve.ai%2FJeff_8d12e881da.png&w=3840&q=75) Founder, Twilio ![](/_next/image?url=https%3A%2F%2Fmedia.website-prod.resolve.ai%2FSridhar_97131b9d99.png&w=3840&q=75) CEO, Snowflake ![](/_next/image?url=https%3A%2F%2Fmedia.website-prod.resolve.ai%2FEric_5b0f4a63bb.png&w=3840&q=75) Founder & CEO, Ramp #### VC Investors ![](/_next/image?url=https%3A%2F%2Fmedia.website-prod.resolve.ai%2FSaam_07562d1668_optim_73b924f55e.png&w=3840&q=75) ![](/_next/image?url=https%3A%2F%2Fmedia.website-prod.resolve.ai%2Fgreylock_aab5f88084.svg&w=3840&q=75) Led by ![](/_next/image?url=https%3A%2F%2Fmedia.website-prod.resolve.ai%2FJohn_V_43efbb9464.png&w=3840&q=75) ![](/_next/image?url=https%3A%2F%2Fmedia.website-prod.resolve.ai%2Funusual_logo_7ae701216e.png&w=3840&q=75) Led by #### $35M Seed led by Greylock ![Green asterisc shape](/_next/image?url=%2Ficons%2Fmisc%2Fgreen-asterisc-shape.svg&w=3840&q=75) Their largest single seed investment ever. ![We’re growing even faster](/_next/image?url=https%3A%2F%2Fmedia.website-prod.resolve.ai%2FWhy_Resolve_CTA_154f09be14.svg&w=256&q=75) ## We’re growing even faster --- # Our Agentic AI | Resolve See how coding agents finally get **production context** ![Resolve.ai logo](/_next/image?url=%2Ficons%2Flogo_no_black.svg&w=384&q=75) ## Machines on-call for humans ### Join the conversation ![LinkedIn](/_next/image?url=%2Ficons%2FLI_green.svg&w=64&q=75) ![X/Twitter](/_next/image?url=%2Ficons%2FX_green.svg&w=64&q=75) ![YouTube](/_next/image?url=%2Ficons%2FYT_green.svg&w=64&q=75) ©Resolve.ai - All rights reserved --- # Secure agents for your enterprise Running in production at global scale in the most regulated and security conscious environments. ![Secure agents for your enterprise](https://media.website-prod.resolve.ai/security_1dd53978b0.svg) ## Built to securely use your data without compromising privacy ![Secure](/_next/image?url=https%3A%2F%2Fmedia.website-prod.resolve.ai%2FSecure_4e44cff816.png&w=1080&q=75) ### Minimal Data Access with Full Control No write access: your data remains unchanged. Least Privilege Access: Access is limited to what's necessary for task execution. No Data Ingestion: We don’t store or persist your raw data. ![Settings](/_next/image?url=https%3A%2F%2Fmedia.website-prod.resolve.ai%2FSettings_3ec3bf4081.png&w=1080&q=75) ### Your Data Trains Only Your Models No Data Mixing: Your data is never combined with other customers' data. No Cross-Customer Models: Your data isn’t used to train models for others. Exclusive Fine-Tuning: Models are tailored specifically to your data and needs. ## Trust and compliance Resolve AI is designed to meet stringent compliance standards, starting with SOC 2 Type II certification, GDPR, and HIPAA. We are committed to expanding our compliance framework by collaborating closely with customers to address their unique regulatory and security requirements. ![gdpr soc2 and hipaa compliant](/_next/image?url=https%3A%2F%2Fmedia.website-prod.resolve.ai%2Ftrust_banner_fd35b6598c.svg&w=640&q=75) ## Unified Enterprise Control ![](/_next/image?url=https%3A%2F%2Fmedia.website-prod.resolve.ai%2Flock_64bf2c7890.svg&w=3840&q=75) ### Secure gateway for access The Resolve AI satellite acts as a robust and secure gateway, providing flexible options for data access. It can be configured to access metadata from Kubernetes environments exclusively or serve as a secure proxy to transmit data from developer and on-call tools. ![](/_next/image?url=https%3A%2F%2Fmedia.website-prod.resolve.ai%2Fcheck_661f6e5e02.svg&w=3840&q=75) ### Granular control over your data Maintain complete control over your data with options to; query only the data you need for the investigation, customize metadata scraping frequency, and limit access to specific roles, environments, or namespaces. ![](/_next/image?url=https%3A%2F%2Fmedia.website-prod.resolve.ai%2Fexclamation_b36403d5f8.svg&w=3840&q=75) ### Streamlined and secure authentication Leverage Single Sign-On (SSO) and Role-Based Access Control (RBAC) to enhance security and simplify access management. Use service accounts and secure tokens for seamless cloud-to-cloud authentication, ensuring data access is restricted to authorized users and processes. ## Secure and flexible integrations Connect with your production systems using MCP, APIs, and Webhooks using token or API keys for auth and encryption, and private connections. ![](/_next/image?url=https%3A%2F%2Fmedia.website-prod.resolve.ai%2Fintegrations_195a08e961.svg&w=1200&q=75) --- # Advancing how AI runs software We're a group of researchers, engineers, and builders inventing at the frontier of AI and production systems. Our mission is to help every engineer run software effortlessly. ## Our founders Spiros and Mayank met 20 years ago in grad school at the University of Illinois Urbana-Champaign and have been working together since 2012. They are co-creators of OpenTelemetry and together they have built companies with two successful exits to Splunk and VMware. Most recently, they led Splunk Observability as GM and Chief Architect, respectively. ![](/_next/image?url=https%3A%2F%2Fmedia.website-prod.resolve.ai%2Ffounders_cropped_ebe6694814_optim_81cbf06d9f.jpeg&w=3840&q=75) ### Mayank Agarwal Founder and CTO ### Spiros Xanthos Founder and CEO ## Frontier AI researchers and experts in production systems Our team includes co-creators of OpenTelemetry, researchers from leading AI labs, and engineers who managed the most demanding production systems. ### Co-creators of OpenTelemetry Over two decades of building and standardizing global observability standards by co-creating OpenTelemetry and leading Splunk Observability. ### AI Researchers from leading labs Deep AI expertise from the teams behind innovations like Google DeepResearch, Gemini Agents, and Meta superintelligence research. ### Domain experts in production systems Distinguished engineers from organizations like Google, Meta, Microsoft, Databricks and more with expertise in building mission critical systems ## Trusted in the most demanding production environments World-class engineering teams like Coinbase, Zscaler, Toast, and others use Resolve daily to investigate incidents, improve operations, and debug production. ![company logo](/_next/image?url=https%3A%2F%2Fmedia.website-prod.resolve.ai%2FCoinbase_logo_5998d21188.svg&w=640&q=75) ![company logo](/_next/image?url=https%3A%2F%2Fmedia.website-prod.resolve.ai%2FDoor_Dash_logo_01cbdaf2de.svg&w=640&q=75) ![company logo](/_next/image?url=https%3A%2F%2Fmedia.website-prod.resolve.ai%2FSNOWFLAKE_4cc6d364e2.svg&w=640&q=75) ![company logo](/_next/image?url=https%3A%2F%2Fmedia.website-prod.resolve.ai%2FEXPEDIA_LOGO_e30e81987e.svg&w=640&q=75) ![company logo](/_next/image?url=https%3A%2F%2Fmedia.website-prod.resolve.ai%2FMongo_DB_logo_c0c8ecd577.svg&w=640&q=75) ![company logo](/_next/image?url=https%3A%2F%2Fmedia.website-prod.resolve.ai%2FToast_Logo_5330bccbb4.svg&w=640&q=75) ![company logo](/_next/image?url=https%3A%2F%2Fmedia.website-prod.resolve.ai%2FZscaler_logo_08fe6a3681.svg&w=640&q=75) ![company logo](/_next/image?url=https%3A%2F%2Fmedia.website-prod.resolve.ai%2Fgametime_ac3c4e5c3e.svg&w=640&q=75) ### On-call 24/7 AI that is always debugging Instantly goes on-call triaging and debugging incidents with full context across telemetry, infra, code, and tools. ### 75% faster incident investigations Multi hop incidents investigated autonomously with evidence in minutes not hours. ### Single interface to root cause with evidence @Resolve to easily understand production complexity in seconds to build better, and ship faster. ## Backed by AI pioneers and builders of Enterprise Software Leaders who didn’t just predict the AI and cloud revolutions, they architected them #### AI Visionaries ![](/_next/image?url=https%3A%2F%2Fmedia.website-prod.resolve.ai%2FJeff_D_d2cda0347a.png&w=3840&q=75) Chief Scientist at Google, creator of TensorFlow ![](/_next/image?url=https%3A%2F%2Fmedia.website-prod.resolve.ai%2FFei_e363498bdf.png&w=3840&q=75) Prof. Stanford University; Co-Dir. Stanford Human-Centered AI Institute ![](/_next/image?url=https%3A%2F%2Fmedia.website-prod.resolve.ai%2FReid_9a51a7e622.png&w=3840&q=75) Founder, LinkedIn ![](/_next/image?url=https%3A%2F%2Fmedia.website-prod.resolve.ai%2FAmjad_8e49654faf.png&w=3840&q=75) CEO & Co-founder, Replit ![](/_next/image?url=https%3A%2F%2Fmedia.website-prod.resolve.ai%2FSrinivas_028bb5d497.png&w=3840&q=75) VP of Engineering, OpenAI #### Founders & CEOs ![](/_next/image?url=https%3A%2F%2Fmedia.website-prod.resolve.ai%2FThomas_8cd8009aba.png&w=3840&q=75) Former CEO, GitHub ![](/_next/image?url=https%3A%2F%2Fmedia.website-prod.resolve.ai%2FMatt_7c92da3364.png&w=3840&q=75) CEO, AWS ![](/_next/image?url=https%3A%2F%2Fmedia.website-prod.resolve.ai%2FJeff_8d12e881da.png&w=3840&q=75) Founder, Twilio ![](/_next/image?url=https%3A%2F%2Fmedia.website-prod.resolve.ai%2FSridhar_97131b9d99.png&w=3840&q=75) CEO, Snowflake ![](/_next/image?url=https%3A%2F%2Fmedia.website-prod.resolve.ai%2FEric_5b0f4a63bb.png&w=3840&q=75) Founder & CEO, Ramp #### Investors ![](/_next/image?url=https%3A%2F%2Fmedia.website-prod.resolve.ai%2FRahul_mehta_c69b3ef2a8.svg&w=3840&q=75) ![](/_next/image?url=https%3A%2F%2Fmedia.website-prod.resolve.ai%2Fdst_logo_68cd19706c.svg&w=3840&q=75) Led by ![](/_next/image?url=https%3A%2F%2Fmedia.website-prod.resolve.ai%2FSebestian_LSVP_67a0a03c76.jpg&w=3840&q=75) ![](/_next/image?url=https%3A%2F%2Fmedia.website-prod.resolve.ai%2Flightspeed_logo_41f679bb9d.svg&w=3840&q=75) Led by ![](/_next/image?url=https%3A%2F%2Fmedia.website-prod.resolve.ai%2FSaam_07562d1668_optim_73b924f55e.png&w=3840&q=75) ![](/_next/image?url=https%3A%2F%2Fmedia.website-prod.resolve.ai%2Fgreylock_aab5f88084.svg&w=3840&q=75) Led by ![](/_next/image?url=https%3A%2F%2Fmedia.website-prod.resolve.ai%2FJohn_V_43efbb9464.png&w=3840&q=75) ![](/_next/image?url=https%3A%2F%2Fmedia.website-prod.resolve.ai%2Funusual_logo_7ae701216e.png&w=3840&q=75) Led by #### $40M Series A Extension led by DST Global ![Green asterisc shape](/_next/image?url=%2Ficons%2Fmisc%2Fgreen-asterisc-shape.svg&w=3840&q=75) More than $190M in total funding at a $1.5B valuation ## News and media ![Resolve AI appoints Jason Forget as President and founding Chief Revenue Officer](/_next/image?url=https%3A%2F%2Fmedia.website-prod.resolve.ai%2FJason_Forget_CRO_Announcement_e2341b8003.png&w=3840&q=75) ### Resolve AI appoints Jason Forget as President and founding Chief Revenue Officer ![Resolve AI CEO Spiros Xanthos: AI’s impact on software production systems](/_next/image?url=https%3A%2F%2Fmedia.website-prod.resolve.ai%2FMckinsey_Article_blog_b19e3406df.png&w=3840&q=75) ### Resolve AI CEO Spiros Xanthos: AI’s impact on software production systems ![Resolve AI, the production-operations startup today announced a sweeping expansion of its platform](/_next/image?url=https%3A%2F%2Fmedia.website-prod.resolve.ai%2FOG_Image_fb49d20255.png&w=3840&q=75) ### Resolve AI, the production-operations startup today announced a sweeping expansion of its platform ![AI for Prod gets new agents to improve investigation accuracy, automate daily production tasks, and more](/_next/image?url=https%3A%2F%2Fmedia.website-prod.resolve.ai%2FMay_2026_Product_Launch_e49375fa64.svg&w=3840&q=75) ### AI for Prod gets new agents to improve investigation accuracy, automate daily production tasks, and more ![Resolve AI announces $40M series A extension and launches Resolve AI Labs](/_next/image?url=https%3A%2F%2Fmedia.website-prod.resolve.ai%2FBlog_Series_A_Extention_Banner_058ae86f4e.png&w=3840&q=75) ### Resolve AI announces $40M series A extension and launches Resolve AI Labs ![Resolve AI hits $1.5 billion valuation and launches Resolve AI Labs](/_next/image?url=https%3A%2F%2Fmedia.website-prod.resolve.ai%2FForbes_Series_A_E40_ae80fbfe30.svg&w=3840&q=75) ### Resolve AI hits $1.5 billion valuation and launches Resolve AI Labs --- # Trusted by Builders From Engineers to CTOs at Innovative Companies ![coinbase](/_next/image?url=https%3A%2F%2Fmedia.website-prod.resolve.ai%2FCoinbase_logo_5998d21188.svg&w=640&q=75) ![Doordash](/_next/image?url=https%3A%2F%2Fmedia.website-prod.resolve.ai%2FDoor_Dash_logo_01cbdaf2de.svg&w=640&q=75) ![Expedia Group](/_next/image?url=https%3A%2F%2Fmedia.website-prod.resolve.ai%2FEXPEDIA_LOGO_e30e81987e.svg&w=640&q=75) ![Snowflake](/_next/image?url=https%3A%2F%2Fmedia.website-prod.resolve.ai%2FSNOWFLAKE_4cc6d364e2.svg&w=640&q=75) ![Salesforce](/_next/image?url=https%3A%2F%2Fmedia.website-prod.resolve.ai%2Fsalesforce02_wide_aa71ce2d69.svg&w=640&q=75) ![Zscaler](/_next/image?url=https%3A%2F%2Fmedia.website-prod.resolve.ai%2FZscaler_logo_08fe6a3681.svg&w=640&q=75) ![mongodb](/_next/image?url=https%3A%2F%2Fmedia.website-prod.resolve.ai%2FMongo_DB_logo_c0c8ecd577.svg&w=640&q=75) ![Robinhood](/_next/image?url=https%3A%2F%2Fmedia.website-prod.resolve.ai%2FRobinhood_Logo_ab97a2cffd.svg&w=640&q=75) ![Cisco](/_next/image?url=https%3A%2F%2Fmedia.website-prod.resolve.ai%2Fcisco_wide_3fdde82697.svg&w=640&q=75) ![msci](/_next/image?url=https%3A%2F%2Fmedia.website-prod.resolve.ai%2FMSCI_Logo_e58019c039.svg&w=640&q=75) ![Autodesk](/_next/image?url=https%3A%2F%2Fmedia.website-prod.resolve.ai%2Fautodesk_1_b4f13a0cdf.svg&w=640&q=75) ![Toast](/_next/image?url=https%3A%2F%2Fmedia.website-prod.resolve.ai%2FToast_Logo_5330bccbb4.svg&w=640&q=75) ![Gametime](/_next/image?url=https%3A%2F%2Fmedia.website-prod.resolve.ai%2Fgametime_ac3c4e5c3e.svg&w=640&q=75) ![Eventbrite](/_next/image?url=https%3A%2F%2Fmedia.website-prod.resolve.ai%2Feventbrite_d8f4c7792f.svg&w=640&q=75) ![Abridge](/_next/image?url=https%3A%2F%2Fmedia.website-prod.resolve.ai%2FAbridge_Logo_f36913288a.svg&w=640&q=75) ![Pinecone](/_next/image?url=https%3A%2F%2Fmedia.website-prod.resolve.ai%2Fpinecone_b100305755.svg&w=640&q=75) ![Guidewire](/_next/image?url=https%3A%2F%2Fmedia.website-prod.resolve.ai%2Fguidewire_wide_bbf76eb271.svg&w=640&q=75) ![Blueground](/_next/image?url=https%3A%2F%2Fmedia.website-prod.resolve.ai%2Fblueground_wide_bbd4a708b9.svg&w=640&q=75) ![Motive](/_next/image?url=https%3A%2F%2Fmedia.website-prod.resolve.ai%2Fmotive_wide_8f93841f1d.svg&w=640&q=75) ![Upwind](/_next/image?url=https%3A%2F%2Fmedia.website-prod.resolve.ai%2Fupwind_wide_acacbe62f3.svg&w=640&q=75) ![Salesforce customer story](/_next/image?url=https%3A%2F%2Fmedia.website-prod.resolve.ai%2Fsalesforce_banner_opt1_2fa13cbbd0.png&w=3840&q=75) ![Salesforce customer story](/_next/image?url=https%3A%2F%2Fmedia.website-prod.resolve.ai%2Fsalesforce_card_thumbnail_1e29813e33.png&w=3840&q=75) ![lead-title-icon](/_next/image?url=%2Ficons%2Fmisc%2Fborder-star.svg&w=3840&q=75) ## From Hours to Minutes for the World's Leading CRM ![Gametime customer story](/_next/image?url=https%3A%2F%2Fmedia.website-prod.resolve.ai%2FResolve_Gametimebanner_opt2_cd52b24fa6.png&w=3840&q=75) ![Gametime customer story](/_next/image?url=https%3A%2F%2Fmedia.website-prod.resolve.ai%2Fgametime_card_thumbnail_6627723403.png&w=3840&q=75) ![lead-title-icon](/_next/image?url=%2Ficons%2Fmisc%2Fborder-star.svg&w=3840&q=75) ## Keeping Last-Minute Ticketing Reliable for Fans Worldwide ![DoorDash customer story](/_next/image?url=https%3A%2F%2Fmedia.website-prod.resolve.ai%2FBlog_banner_Doordash_1_ea50ed86f7.png&w=3840&q=75) ![DoorDash customer story](/_next/image?url=https%3A%2F%2Fmedia.website-prod.resolve.ai%2Fdoordash_card_thumbnail_27ad989d82.png&w=3840&q=75) ![lead-title-icon](/_next/image?url=%2Ficons%2Fmisc%2Fborder-star.svg&w=3840&q=75) ## Powering Uninterrupted Ads for DoorDash Advertisers ![Coinbase customer story](/_next/image?url=https%3A%2F%2Fmedia.website-prod.resolve.ai%2Fcoinbase_banner_70deb85726.png&w=3840&q=75) ![Coinbase customer story](/_next/image?url=https%3A%2F%2Fmedia.website-prod.resolve.ai%2Fcoinbase_card_thumbnail_c6d14b5da2.png&w=3840&q=75) ![lead-title-icon](/_next/image?url=%2Ficons%2Fmisc%2Fborder-star.svg&w=3840&q=75) ## Making the Global Crypto Backbone More Resilient ![Zscaler customer story](/_next/image?url=https%3A%2F%2Fmedia.website-prod.resolve.ai%2Fzscaler_banner_3c2c720c37.png&w=3840&q=75) ![Zscaler customer story](/_next/image?url=https%3A%2F%2Fmedia.website-prod.resolve.ai%2Fzscaler_card_thumbnail_9f08d71160.png&w=3840&q=75) ![lead-title-icon](/_next/image?url=%2Ficons%2Fmisc%2Fborder-star.svg&w=3840&q=75) ## Accelerating Zero-Trust Network Incident Response ![Blueground customer story](/_next/image?url=https%3A%2F%2Fmedia.website-prod.resolve.ai%2FBlueground_Details_d9b6401248.png&w=3840&q=75) ![Blueground customer story](/_next/image?url=https%3A%2F%2Fmedia.website-prod.resolve.ai%2Fblueground_card_thumbnail_99e218f4a2.png&w=3840&q=75) ![lead-title-icon](/_next/image?url=%2Ficons%2Fmisc%2Fborder-star.svg&w=3840&q=75) ## Luxury Housing Meets Engineering Excellence ## Why teams switch to ResolveAI “Resolve AI allowed us to move from hours to minutes for investigations in many incidents. We pull fewer engineers into war rooms, on-call is materially better, and that translates directly to advertiser trust and revenue protection for a billion-dollar ads business.” ![Shahrooz Ansari](/_next/image?url=https%3A%2F%2Fmedia.website-prod.resolve.ai%2FShahrooz_Ansari_16b333dc2a.jpeg&w=3840&q=75) Shahrooz Ansari Sr. Director of Engineering, DoorDash “Resolve AI proved it could deliver real results in a constrained environment. It identified dependencies, surfaced accurate root causes 72% faster than our teams, all while integrating cleanly into our existing stack.” ![Angelo Marletta](/_next/image?url=https%3A%2F%2Fmedia.website-prod.resolve.ai%2FAngelo_Marletta_6f49effb20.jpeg&w=3840&q=75) Angelo Marletta Software Engineer, Coinbase “Resolve AI has changed how our teams work through production incidents. What used to take hours of manual investigation and coordination across teams now gets resolved in a fraction of the time. Our engineers aren't only faster, they're focused on the work that actually drives impact.” ![Meir Amiel](/_next/image?url=https%3A%2F%2Fmedia.website-prod.resolve.ai%2FMeir_Amiel_d4dd39f99f.jpeg&w=3840&q=75) Meir Amiel Chief Trust and Infrastructure Officer, Salesforce “We’ve seen the value of AI in development, and now we’re applying that same approach to production. We started by partnering with Resolve AI for alert triage, incident investigation, and root cause analysis. We’ve seen positive signs of improvement in mean time to resolve for our critical incidents, and the North Star is self-healing systems.” ![Sandeep Contractor](/_next/image?url=https%3A%2F%2Fmedia.website-prod.resolve.ai%2FSandeep_Contractor_55378178b7.jpeg&w=3840&q=75) Sandeep Contractor Managing Director, Engineering, MSCI “What excites me most about Resolve AI's background agents is that I’m no longer starting from zero. The alerts are already investigated. The deployment summaries are already written. The findings are verified and the next steps are waiting for me. A lot of the operational work I used to handle manually is now happening continuously in the background with my oversight. I’m still making the important calls, but I can operate at a scale that just wasn’t possible before.” ![Jeff Aronhalt](/_next/image?url=https%3A%2F%2Fmedia.website-prod.resolve.ai%2Fjeffaronhalt_bw_15c2ebc217.png&w=3840&q=75) Jeff Aronhalt Principal Software Engineer, Gametime “Resolve AI feels like a teammate who’s already done half the work. It tells me immediately if something’s critical or can wait, saving countless hours and frustration.” ![Andreas Gounaris](/_next/image?url=https%3A%2F%2Fmedia.website-prod.resolve.ai%2FAndresblueground_bw_f24d1f6e77.png&w=3840&q=75) Andreas Gounaris Director of Engineering, Blueground “Resolve AI helps my team navigate incidents by correlating signals across logs, metrics, traces, and code automatically. Instead of switching between multiple platforms hunting for clues, we get immediate context. At our deployment velocity, that speed makes all the difference.” ![Alex Danilychev Jr](/_next/image?url=https%3A%2F%2Fmedia.website-prod.resolve.ai%2FAlex_D_Doordash_bw_d200a2d41f.png&w=3840&q=75) Alex Danilychev Jr Engineering Manager, DoorDash “Incident response at our scale isn't about collecting more signals. It's about understanding why something is failing, quickly enough to limit customer impact.” ![Chris Umbel](/_next/image?url=https%3A%2F%2Fmedia.website-prod.resolve.ai%2Fchrisumbelbw_83f5ffd333.png&w=3840&q=75) Chris Umbel AI SRE Lead, Zscaler “Resolve AI allowed us to move from hours to minutes for investigations in many incidents. We pull fewer engineers into war rooms, on-call is materially better, and that translates directly to advertiser trust and revenue protection for a billion-dollar ads business.” ![Shahrooz Ansari](/_next/image?url=https%3A%2F%2Fmedia.website-prod.resolve.ai%2FShahrooz_Ansari_16b333dc2a.jpeg&w=3840&q=75) Shahrooz Ansari Sr. Director of Engineering, DoorDash “Resolve AI proved it could deliver real results in a constrained environment. It identified dependencies, surfaced accurate root causes 72% faster than our teams, all while integrating cleanly into our existing stack.” ![Angelo Marletta](/_next/image?url=https%3A%2F%2Fmedia.website-prod.resolve.ai%2FAngelo_Marletta_6f49effb20.jpeg&w=3840&q=75) Angelo Marletta Software Engineer, Coinbase “Resolve AI has changed how our teams work through production incidents. What used to take hours of manual investigation and coordination across teams now gets resolved in a fraction of the time. Our engineers aren't only faster, they're focused on the work that actually drives impact.” ![Meir Amiel](/_next/image?url=https%3A%2F%2Fmedia.website-prod.resolve.ai%2FMeir_Amiel_d4dd39f99f.jpeg&w=3840&q=75) Meir Amiel Chief Trust and Infrastructure Officer, Salesforce “We’ve seen the value of AI in development, and now we’re applying that same approach to production. We started by partnering with Resolve AI for alert triage, incident investigation, and root cause analysis. We’ve seen positive signs of improvement in mean time to resolve for our critical incidents, and the North Star is self-healing systems.” ![Sandeep Contractor](/_next/image?url=https%3A%2F%2Fmedia.website-prod.resolve.ai%2FSandeep_Contractor_55378178b7.jpeg&w=3840&q=75) Sandeep Contractor Managing Director, Engineering, MSCI “What excites me most about Resolve AI's background agents is that I’m no longer starting from zero. The alerts are already investigated. The deployment summaries are already written. The findings are verified and the next steps are waiting for me. A lot of the operational work I used to handle manually is now happening continuously in the background with my oversight. I’m still making the important calls, but I can operate at a scale that just wasn’t possible before.” ![Jeff Aronhalt](/_next/image?url=https%3A%2F%2Fmedia.website-prod.resolve.ai%2Fjeffaronhalt_bw_15c2ebc217.png&w=3840&q=75) Jeff Aronhalt Principal Software Engineer, Gametime “Resolve AI feels like a teammate who’s already done half the work. It tells me immediately if something’s critical or can wait, saving countless hours and frustration.” ![Andreas Gounaris](/_next/image?url=https%3A%2F%2Fmedia.website-prod.resolve.ai%2FAndresblueground_bw_f24d1f6e77.png&w=3840&q=75) Andreas Gounaris Director of Engineering, Blueground “Resolve AI helps my team navigate incidents by correlating signals across logs, metrics, traces, and code automatically. Instead of switching between multiple platforms hunting for clues, we get immediate context. At our deployment velocity, that speed makes all the difference.” ![Alex Danilychev Jr](/_next/image?url=https%3A%2F%2Fmedia.website-prod.resolve.ai%2FAlex_D_Doordash_bw_d200a2d41f.png&w=3840&q=75) Alex Danilychev Jr Engineering Manager, DoorDash “Incident response at our scale isn't about collecting more signals. It's about understanding why something is failing, quickly enough to limit customer impact.” ![Chris Umbel](/_next/image?url=https%3A%2F%2Fmedia.website-prod.resolve.ai%2Fchrisumbelbw_83f5ffd333.png&w=3840&q=75) Chris Umbel AI SRE Lead, Zscaler ![Contact us](/_next/image?url=https%3A%2F%2Fmedia.website-prod.resolve.ai%2Fcustomers_contact_us_ab3066d002.svg&w=256&q=75) ## Want to see why leading companies trust Resolve AI? Learn how engineering teams are transforming software engineering with agentic AI. --- # Glossary Your guide to a few key terms in Agentic AI and software engineering. ![Glossary Search image](/_next/image?url=https%3A%2F%2Fmedia.website-prod.resolve.ai%2FGlossary_Search_12792de543.svg&w=750&q=75) ## Why Model Orchestration Is Critical for Automated RCA Model orchestration is how automated RCA assigns the right model to each task in an investigation, so the system reaches a verified root cause fast enough and cheaply enough to run on every alert. Here, we go through what investigations demand of a model, why no single model covers the job, and where post-training fits. ## How can you reduce alert fatigue in your SRE team? Alert fatigue slows real incident response, lets genuine outages slip through, and grinds down all your experienced engineers. Reducing it is not about changing your alert thresholds, but putting machines on call. ## What is multi-model orchestration and why is it important AI agents are heading to production, and multi-model orchestration decides their cost, reliability, and failure modes. ## What is the future of DevOps for enterprises? Learn about the future of DevOps for enterprises, where development and operations evolve into a more integrated, secure, and intelligent model. Explore how core DevOps practices, modern pipelines, and cultural patterns are shaping the next decade of enterprise software delivery. ## What is the future of software engineering? Discover how AI is reshaping software engineering, from code generation and testing to vibe debugging and the shift towards becoming AI-native. ## The Role of LLM Evals in Automated RCA LLM Evals are the tests that measure whether an AI's investigations actually reach the right cause, scored against real cases with known outcomes. Here, we go through why coherent answers fool people, what evals need to do for AI that investigates production failures, and how evals set the path to autonomy. ## What is Agentic AI? Explore our comprehensive Agentic AI fundamentals: key concepts and terms, architecture components, operational frameworks, and best-practice implementation and scaling strategies for autonomous AI agents ## What is MTTR? Master Mean Time to Resolution (MTTR): explore precise definitions, calculation methods, and industry benchmarks. Uncover actionable best practices, tools, and tactics to accelerate incident response, shrink downtime, and elevate system reliability. ## What to consider in AI SRE Tools A guide to AI SRE tools: categories, capabilities, real user reports, and implementation considerations for engineering leaders. ## What is OpenTelemetry (OTel)? Co-founded by Resolve AI’s founders, OpenTelemetry (OTel) is the CNCF standard for logs, metrics, traces, and profiling in cloud-native observability. ## What is an AIOps platform? An AIOps platform applies machine learning to IT operations data to detect anomalies, correlate events, and cut alert noise. Here's how it works, and where it stops. ## What is an AI SRE? The complete guide to AI agents that investigate production incidents, reduce MTTR by 80%, and perform root cause analysis in minutes. ## What is AI for on-call? AI for on-call helps teams streamline alert investigations and incident troubleshooting, reduce noise, and improve incident response in real-time. Learn core capabilities, real-world use cases, and how AI-led investigation with human-controlled execution improves MTTR and service reliability. ## Software reliability in the age of AI-generated code Software reliability is the probability a system runs without failure over time. Why AI-generated code strains it, and why keeping systems reliable now needs AI. ## What is Site Reliability Engineering (SRE)? Master site reliability engineering covering SLIs, SLOs, error budgets, and DORA metrics, while harnessing agentic AI with vibe coding and vibe debugging to accelerate MTTR and deliver resilient software. ## What is AI for Production Systems? AI for Production Systems automates incident response, cuts infrastructure costs, and accelerates engineering velocity by understanding your entire production stack ## Why context engineering is important for AI in production Context engineering is the discipline of deciding what makes it into an LLM context window. It covers everything a large language model sees at inference time: the system prompt, the message history, retrieved documents, tool outputs, and any external data the application pulls in. ## How to debug kubernetes probe issues? Learn how to diagnose and fix Kubernetes probe failures. This guide covers Liveness vs. Readiness differences, CPU throttling timeouts, and how to stop "Unhealthy" restart loops. ## How to Drive Reliability with AI in Software Engineering Modern production systems have outgrown human cognitive capacity. Learn how AI-powered reliability systems detect issues in real-time, investigate root causes across domains, and help engineering teams ship faster with confidence. ## What is vibe debugging? Vibe debugging means describing a software problem to an AI agent and letting it investigate. How the loop works, where it breaks, and what production demands. ## Comparing different AI approaches for SRE workflows SRE teams are adopting AI for alert triage, incident investigation, and postmortems. But not every approach works the same way. This guide compares general-purpose LLMs, tool-augmented models, AI-augmented SaaS tools, and multi-agent systems across the workflows that matter most. ## Debugging PostgreSQL deadlock issues Learn how PostgreSQL deadlocks form, how to read deadlock log output, and how to fix the four most common patterns including row-level lock inversion, multi-table escalation, and SELECT FOR UPDATE conflicts. ## How Reliable Are AI Agents for Production Work? Foundation models seem capable enough. What makes AI agents actually reliable for production systems? The answer lies in the complexity of production systems and the engineering required to make them reliable ## What does an agentic architecture for automated RCA have? A harness is everything built around the model that turns the model’s intelligence into capabilities that drive investigations to root cause: context, tools, reasoning structure, guardrails, a learning loop, and evals. Here, we go through what a harness is, why it determines investigation quality, and what a production-grade one contains. ## What is root cause analysis? Learn about root cause analysis in software engineering, the practice of identifying the underlying causes of incidents rather than only fixing symptoms. Explore the RCA process, modern tools, and how teams improve reliability and prevent recurrence with Resolve AI. ## How to debug OOMKilled errors in Kubernetes? Pod stuck in an OOMKilled loop? Learn to distinguish between container-level and node-level OOM, analyze memory growth patterns, and fix Kubernetes Exit Code 137. ## AWS DevOps Agent Alternative: How Resolve AI Compares Compare AWS DevOps Agent and Resolve AI on architecture, models, integrations, cloud coverage, and pricing. See why teams running on AWS add Resolve AI for production. ## PagerDuty SRE Agent vs. Resolve AI: Which Parts of On-Call and Incidents Do You Need AI For? PagerDuty is an AI ops platform for incident management, built to run the process around failures. It turns alert storms into routed incidents and runs the fixes you've already automated, with an SRE Agent working inside that process. Resolve AI is built for the investigation itself. It runs every alert against a live model of your production system and proposes a fix, with evidence shown. If the root cause is your bottleneck, that's Resolve AI, and the two connect with a webhook. ## incident.io vs. Resolve AI: Do You Need Better Coordination or Faster Root Cause? incident.io is an incident management platform with an AI investigations agent built in. It runs the process around your incidents. Resolve AI is an AI platform that investigates production issues themselves. It finds the root cause behind any alert and proposes the fix, whether or not an incident was ever declared. If investigation time is your bigger gap, that's what Resolve AI is for. ## What are production systems in software engineering? Learn about production systems in software engineering, the live environments where applications, services, and infrastructure run at scale. Explore how production systems enable reliability, automation, and continuous improvement while adapting to modern challenges in distributed software delivery. ## What is an AI incident management platform? An AI incident management platform uses AI to handle production incidents, from coordinating the response to investigating systems and finding the root cause. ## What is Kubernetes? Kubernetes (K8s) explained: core concepts, workloads, services, control plane, CI/CD, challenges, future trends, and how Resolve AI extends automation. ## AI Incident Management Tools: Complete Evaluation Guide AI incident management tools investigate production incidents across code, infrastructure, and telemetry using multi-agent architectures for faster root cause identification. ## How to debug Kubernetes Pod Pending State? A technical guide to debugging Pod Pending states. Explore the impact of zone-locked PVs, PriorityClasses, and the latency differences between Cluster Autoscaler and Karpenter. ## Comparing different AI approaches for production debugging Not all AI debugging tools work the same way. In this article we compare three architectural approaches to AI-assisted debugging: their tradeoffs, limitations, and where each works best in production environments. ## How to choose AIOps tools, and when to look past them AIOps tools all promise less noise and faster root cause, but they split into very different categories, and the label itself is starting to fade. ## How can you use AI Systems to identify Reliability Problems in Production Learn how AI-powered detection identifies production issues in real-time, where it adds value, where it falls short, and what determines trustworthy AI tools. ## Using AI in the Software Development Lifecycle A phase-by-phase look at where AI helps across the software development lifecycle, from code generation to production operations, and where the gaps are. ## Fixing Kubernetes 502 Bad Gateway Error Kubernetes 502 errors mean your ingress controller reached a backend pod and got something unusable back. This guide covers the most common causes like misconfigured readiness probes, service selector mismatches, wrong target ports, and backend timeouts with the exact commands to diagnose and fix each one. ## Fixing Kubernetes ‘Service 503’ A 503 in Kubernetes means zero healthy backends in the endpoint pool. This guide covers the most common causes — empty endpoints, failing readiness probes, selector mismatches — and how to trace each one. ## Alert investigations with AI agents Alert investigation is the process of determining whether a monitoring alert represents real user impact, noise, or something in between. Learn the actions, teams, and outcomes involved. ## What is the future of CI/CD? Learn what CI/CD pipelines are, why they matter, and how continuous integration, delivery, and deployment shape the future of software development. ## What is the future of debugging? Every program, whether written by humans or AI, has flaws in production. Learn about debugging, debuggers, breakpoints, and why AI debugging is the future. ## What is Automated Root Cause Analysis? Automated root cause analysis is an investigation method using software that generates hypotheses, chooses the evidence that separates them, and eliminates alternatives until the issue is traced from a trigger to what caused it. ## Why Context Is at the Heart of Automated RCA Context is the specific knowledge an AI SRE uses, alongside the world knowledge in its models, to get to the root cause of a given alert. It's how the agent knows what information to navigate during reasoning. Here, we go through what that context covers, why investigations fail without it, and how a standing context graph stays current.