Autonomous AI SRE for Kubernetes teams

Turn production noise into approved fixes.

Logify360 watches your K8s telemetry, explains the root cause, and proposes the safest remediation with evidence attached.

<120s median RCA30%+ MTTR reductionpolicy-gated writes
Always-on triage01
12 signals

Logs, metrics, traces, K8s events, and deploys become one incident narrative.

Safe remediation02
0 blind writes

Dry-run, diff, approval, post-check, and rollback before prod changes.

live incidentINC-4421
root cause found

OOM loop in payments-worker

89%
logOOMKilled 3x in 90s
metricRSS crossed memory limit
tracecheckout p95 +320%
proposed remediationScale worker from 3 to 6 replicas
time to RCA118s
evidence12 signals
guardraildry-run passed · rollback armed
OpenTelemetryClickHouseKubernetesPrometheusTempoArgoCDSlackPagerDutyCursorClaude DesktopVictoriaMetricsHelmLangGraphTemporalOpenTelemetryClickHouseKubernetesPrometheusTempoArgoCDSlackPagerDutyCursorClaude DesktopVictoriaMetricsHelmLangGraphTemporal
[ 02 / PROOF ]—production signals

Measured impact.
No dashboard tourism.

last updated2026-05-20nightly from prod
pilot outcome
30%+

MTTR reduction

Fewer midnight war rooms because the agent moves from page to cited root cause before humans finish dashboard hopping.

shadow modecited RCAapproval-gated fix
evidence boardlive customer signals
4.2M
events/sec
peak ingest, zero loss
40–60%
Datadog cost reduction
median migration
78%+
RCA accuracy@1
on replay corpus
<120s
median time-to-RCA
per P1 incident
[ 03 / PLATFORM ]—the surface area

One operating layer.
Telemetry + AI SRE actions.

OTel-native ingest, ClickHouse speed, and an agent that moves from alert to cited fix without making your team learn another query language.

[ 01 ] AI SRE Agent· shadow mode GA
⚡

From alert to RCA in <120s.

Diagnoses every incident with citations, then proposes a narrow fix. Shadow mode by default; approved write actions when ready.

01Triage
02Hypothesis
03Evidence
04RCA
05Action
[01] severity=critical · checkout-api
[ 02 ] Natural Language Query· GA
>_

Ask in English.

The agent compiles English into fast ClickHouse queries across logs, metrics, and traces.

$
[ 03 ] Autonomous Remediation· beta
⚙

Policy-gated writes.

Pod restart, HPA bump, ArgoCD sync. Dry-run, diff, approval, rollback.

▸ hpa_bump · payments-worker
replicas: 3 → 6
[ 04 ] Logs · Metrics · Traces · K8s · LLM
≈

One query surface. All five signals.

OTel-native ingestion into ClickHouse. No proprietary agents.

Logs1.8M/s
Metrics920K/s
Traces680K/s
K8sevents
GenAIspans
[ 05 ] LLM Observability· GA
∑

Every token. Every dollar.

GenAI semconv native: cost, latency, model, conversation.

gpt-4o$184/d
claude-3-5$132/d
haiku-4-5$48/d
llama-3.3$22/d
[ 06 ] MCP Server· open source
⟨⟩

Debug from Cursor.

5 read-only tools. OAuth2. Open source.

cursor > @logify-sre-debug INC-4421
→ loading skill: logify-sre-debug...
→ fetched 3 evidence packets ✓
→ ready. 5 tools mounted.
[ 07 ] K8s-native
☸

Helm install. mTLS in.

RemediationCRD for safe writes. RBAC-scoped.

NAMEREADYSTATUSNOTE
payments-worker-3xfk21/1Running→ scaled by logify
checkout-api-2v8wq1/1Running
logify-agent-7n4xk1/1Running
[ 08 ] Cost Guardian· Q4 2026
¤

$/feature. $/incident.

Cloud + LLM + incident cost unified.

$/incident
$11.4K
↓ 22% MoM
LLM $/day
$284
↑ 8% WoW
[ 09 ] Audit Trail· append-only · signed
§

Every agent step. Signed. Exportable.

Signed log of every tool call, decision, and policy outcome. Append-only and SIEM-ready.

ed25519 signedappend-onlySIEM exportRBAC scoped90d → ∞ retention
ts=2026-05-20T14:24:08Z
actor=agent.remediator
tool=k8s.hpa.scale
input={ target:'payments-worker', replicas:6 }
policy=allow · rule=hpa.bump.lt.2x
decision=approved by @karol via slack
post_check=p95=1.8s · SLO=restored
sig=ed25519:a91f..3c7e · prev=8d2c..b1f7
[ 05 / WHO BUYS THIS ]—three jobs, one platform

The buyer is on-call this weekend.
Or signing the Datadog renewal. Or both.

On-call every 3rd week. 80% of pages are noise.

The real incidents still take dashboard hopping before anyone knows where to start.

Logify triages noise, diagnoses the real incident, and asks before it acts.

// typical SRE week
pages / week62
noise rate80%
median diagnose45 min
after Logify−68% noise
median diagnose<2 min
[ 06 / HOW IT WORKS ]—from install to trusted action

From noisy alert
to approved remediation.

incident_flow
alertcheckout-api p95 +320%
evidencelogs + traces + k8s events
agentRCA in 118s, confidence 0.89
approved_actionhpa_bump 3 -> 6

Logify stays read-only until policy allows a narrow, auditable action.

01
5 min setup

Connect

Install the Helm chart. OTel auto-discovers pods, services, and deployments.

02
OTel-native · no agents

Ingest

Logs, metrics, traces, and K8s events stream into one query surface.

03
default · trust-building

Shadow Mode

The AI SRE watches alerts and sends cited RCA summaries to Slack. Zero writes.

04
opt-in · policy-gated

Narrow Actions

Pod restart, HPA bump, ArgoCD sync. Dry-run, diff, approve, verify.

05
every incident makes the next one cheaper

Compound

Each incident improves the org knowledge base. Runbooks evolve; MTTR drops.

[ 07 / PRICING ]—no Datadog lock-in

Per cluster. Per month.
No host-based gotchas. No custom-metric multipliers.

Free
$0/ mo
OSS engineers. One cluster. Kick the tires.
  • 1 cluster
  • 5 GB / mo ingest
  • 7-day retention
  • Read-only agent (shadow)
Team
$499/ cluster / mo
Small scale-ups before the AI SRE goes hot.
  • Up to 5 clusters
  • Shadow-mode agent
  • MCP read + propose
  • 30-day hot retention
SRE
$1,500/ cluster / mo
K8s-native scale-ups. The default tier — autonomous narrow actions on.
  • Autonomous narrow writes
  • Full LLM observability
  • 90-day hot, Iceberg cold
  • Policy editor + RBAC
Enterprise
From $5K/ cluster / mo
F500. Dedicated ClickHouse shard. SAML, BYOC.
  • Dedicated ClickHouse
  • SAML / SCIM
  • BYOC option
  • Compliance copilot
BYOC
$60K–200K/ year
Regulated & in-country. Runs in your VPC. Data never leaves your perimeter.
  • Helm chart in your VPC
  • In-country data residency
  • Signed audit export
  • Dedicated SE
[ 08 / SIGNAL ]—words from the people running it

The pilots tell it better than we do.

“

We cut our observability bill by 60% and got autonomous runbook execution on top.

ARCTO, Series B FinTech · Bengaluru
“

I debug our K8s cluster from Cursor now. No more jumping between six dashboards.

RPStaff SRE, K8s-native SaaS · Pune
“

The eval-corpus discipline sold us. Every agent change is gated on replay accuracy.

SKVP Engineering, Scale-up · Hyderabad
[ 09 / NEXT ]—the next incident is already in your logs

Your next incident is already in your logs.
Logify360 finds it before it pages you.

Private beta with production design partners. Built in Delhi, shipping globally.