AI-assisted observability for modern SRE teams

Unified observability with an SRE Copilot built in

Your logs, metrics, and traces in one place, so you can find and fix production issues without jumping between tools.

AlertP2 · firing
payment-api latency > 800ms
p95 · last 5m · breaching SLO
Error rate+412%
5xx · payment-api
Trace
POST /v2/checkout
api-gateway
orders
payment
db.query
Logs · live
ERRORdb.timeout: stmt 4.2s
WARNretry · attempt 3/3
INFOspan: payment.charge
Kubernetes
payment-api · pod restarted
9/10 healthy · 1 CrashLoopBackOff
Incident timeline
14:02Deploy v2.8.1
14:14Alert firing
14:15Incident opened
KloudMate Assistantinvestigation · payment-api
live
Incident summary

Payment API latency increased after deployment v2.8.1.

Correlated signals
Error rate spike in payment-api
Slow DB queries detected
Trace timeouts propagating from db.query
Kubernetes restart events found
Suggested next step
Review the v2.8.1 deployment change and inspect database saturation on the orders/payment shard.
The investigation problem

Every signal in a different tool. Every incident a manual hunt.

Alerts tell you something is wrong. Logs, metrics, traces, incidents, and infrastructure events tell you why, but only when your team can connect them quickly. KloudMate brings these signals together and uses KloudMate Assistant to surface context, correlations, and next steps during investigation.

Problem · 01

Signals are scattered

Teams jump between dashboards, alert channels, logs, traces, and infrastructure views just to understand what changed.

Problem · 02

Triage takes too long

Every incident starts with manual correlation, noisy alerts, and repeated context gathering across tools.

Problem · 03

Costs keep growing

As telemetry volume increases, fragmented observability stacks become harder to manage and more expensive to operate.

KloudMate Assistant

Meet KloudMate Assistant, your SRE Copilot for faster investigations.

KloudMate Assistant helps teams move from alert to evidence faster. It correlates telemetry, summarizes incident context, highlights likely causes, and guides engineers toward the next useful investigation step.

KloudMate Assistantinvestigation · payment-api
live
Incident summary

Payment API latency increased after deployment v2.8.1.

Correlated signals
Error rate spike in payment-api
Slow DB queries detected
Trace timeouts propagating from db.query
Kubernetes restart events found
Suggested next step
Review the v2.8.1 deployment change and inspect database saturation on the orders/payment shard.

Automatic correlation

Connect alerts with related logs, traces, metrics, infrastructure signals, deployments, and incident activity.

AI-assisted triage

Summarize what happened, what changed, and which signals are most relevant before engineers start digging.

Guided investigation

Help teams identify where to look next using telemetry-backed context instead of guesswork.

Less alert noise

Group related signals and incidents so teams can focus on the underlying issue, not every symptom.

Investigation workflow

From alert to root cause, without switching tools.

KloudMate connects alerts, telemetry, incidents, and infrastructure context into a single investigation flow, helping teams move faster from detection to diagnosis.

Step 01

Alert triggered

An alert detects abnormal latency, error rate, resource saturation, or availability impact.

Step 02

Signals correlated

KloudMate links the alert with related logs, traces, metrics, infrastructure events, and incident activity.

Step 03

Assistant summarizes context

KloudMate Assistant highlights what changed, what is affected, and which evidence matters most.

Step 04

Team investigates faster

Engineers start with a focused investigation path instead of manually searching across disconnected tools.

Step 05

Response stays connected

Findings, ownership, timelines, and follow-up actions remain tied to the incident context.

Built-in product depth

A complete platform behind the Copilot.

The Assistant runs on a full observability stack: distributed tracing, Kubernetes and infrastructure monitoring, on-call incident response, and AI-assisted investigation. Each one is production-ready on its own.

APM & Tracing

Explore traces, logs, and metrics in context.

Move between related telemetry signals during investigation without losing service, request, or incident context.

See APM & tracing →
POST /api/checkout — KloudMate Traces KloudMate · Traces Trace · checkout POST /api/checkout Duration 1.84s Spans 27 Errors 1 Span Duration frontend-proxy 1.84s checkout-api handle 1.79s redis GET cart 11ms inventory-api getStock 1.45s postgres SELECT items 1.18s payments-api charge 168ms kafka publish order 31ms
Kubernetes & Infrastructure

Monitor Kubernetes and infrastructure health.

Understand workload, node, pod, and cluster health alongside application telemetry.

See Kubernetes monitoring →
Cluster & workload health — KloudMate infrastructure KloudMate · Infrastructure Kubernetes · prod-us-east-1 Cluster & workload health Nodes 3 Pods 40 Restarts 3 Workload CPU Mem Status payment-api deploy · 9/10 ready 68% 74% degraded inventory-worker OOM-kill spike 91% 88% critical orders-api deploy · 12/12 ready 42% 55% healthy node ip-10-2-31 m5.xlarge · steady 64% 70% healthy
On-call & Incidents

Page the right engineer. Keep customers posted.

Route alerts to the on-call schedule, escalate by phone until someone acknowledges, and post updates to a public status page.

See incident response →
Elevated checkout latency — KloudMate Incidents KloudMate · Incidents Incident INC-481 · paging Elevated checkout latency Severity Critical Service checkout Status Acked 03:01 Routed to checkout on-call Ana Ruiz · primary rotation paged 03:01 Paged by phone call Ana Ruiz · no answer no ack · 8m 03:09 Re-escalated to step 2 Ben Cho, Carol Diaz · phone call ringing 03:11 Acknowledged by Ben Cho pressed 1 on the call acked
KloudMate Assistant

Investigate with KloudMate Assistant.

Ask questions, summarize evidence, and get guided next steps using telemetry-backed context.

See KloudMate Assistant →
Checkout latency regression — KloudMate Auto-RCA Assistant · investigation Checkout latency regression Q
Why did p99 latency on checkout jump after 12:00?
Assistant · likely cause
  • p99 rose from 240ms to 1.8s right after the inventory-api v8.4 deploy.
  • The added latency sits on postgres SELECT spans inside getStock.
  • Open the /checkout trace cluster and compare db.statement across versions.
Likely cause inventory-api v8.4.0 deployed 12:01 · slow DB spans Slowest span postgres SELECT items 1.18s · 64% of trace time Next step Open trace 4f9c2a filter spans by db.statement
Why KloudMate

Built for modern SRE and platform teams.

What it takes to run observability in production: open standards, signals that connect, and cost that stays predictable as your telemetry grows.

Unified observability

Logs, metrics, traces, alerts, incidents, synthetics, and infrastructure context work together instead of living in separate workflows.

KloudMate Assistant built in

AI-assisted investigation is part of the operational flow, helping teams correlate evidence and triage faster.

OpenTelemetry native

Collect telemetry using open standards and avoid being locked into proprietary agents.

Designed for Kubernetes

Understand services, pods, nodes, clusters, workloads, and application telemetry together.

Cost-efficient observability

Control observability cost while keeping the visibility teams need to operate production systems.

Built for production

Real-time signal collection, on-call paging and re-escalation, and a workflow tuned for live incident response.

Used by engineers from

  • SprintMoney
  • Rocketium
  • Codeifai
  • Ostrum
  • Soffit
  • Microsoft
  • WeCheer
  • HealthifyMe
  • Smartbox
Consolidation

Reduce observability complexity and cost.

KloudMate helps teams consolidate telemetry, alerting, incidents, and investigation workflows into one platform. Reduce tool sprawl, lower operational overhead, and keep observability costs predictable as telemetry volume grows.

  • Consolidate multiple observability workflows into one platform.
  • Reduce manual investigation time with KloudMate Assistant.
  • Use OpenTelemetry-based collection, no proprietary agent lock-in.
  • Avoid fragmented tooling across logs, metrics, traces, and incidents.
  • Cost efficiency built in as a platform design principle.
Get started

Investigate incidents faster with KloudMate.

Unify your telemetry, reduce investigation time, and give your team an SRE Copilot built for modern observability workflows.