Autonomous agentic ops for Kubernetes

Kova AI agents that run your infrastructure

Kova deploys autonomous agents inside your Kubernetes clusters. They watch, diagnose, and fix issues in real time — 24/7, without tickets, runbooks, or 2 AM pages.

kova-agent — production-cluster
06:14:23 INFO Cluster healthy — 24 pods running
06:14:31 WARN Pod api-gateway-7f4d9 restart count elevated
06:14:31 AGENT Inspecting crash loop — fetching logs
06:14:33 AGENT OOM killed — memory limit 512Mi, usage 1.2Gi
06:14:33 ACTION Patching memory limit to 2Gi — dry-run first
06:14:35 OK Patch applied. Monitoring stability.
...
Agent running. No human involved.
node-1
node-2
node-3
Kova Agent
Agent Status Active
Actions (24h) 47
MTTR reduction 91%
Incidents resolved 12
Live Operations Console
pod-restarts auto-remediated OOM caught pre-incident drift corrected
02:17 sre-agent Restarted api-gateway-7f4d9 — OOM kill detected, patched memory limit 512Mi → 2Gi
04:52 cost-agent Rescheduled 3 idle pods to spot instances — saved $340 this cycle
07:03 security-agent Detected unauthorized image pull — blocked, flagged for review
11:28 infra-agent Node us-west-2c pressure — preemptively migrated 5 pods to us-west-2a

Every task your SRE does at 3 AM.
Run by an agent at 3 PM.

Autonomous Remediation

Agents detect issues, diagnose root cause, and apply fixes — no ticket, no Slack, no human. Pod restarts, OOM patches, node pressure responses — all handled automatically.

Avg. 8 seconds to first action

Multi-Cluster Visibility

One dashboard for all your clusters. Agents running in each cluster report up — giving you unified health, activity logs, and change history across every environment.

Up to 50 clusters per workspace

Predictive Alerting

Agents learn your traffic patterns and resource baselines. They scale preemptively and surface anomalies before they become incidents — not after.

30-60 min warning on resource exhaustion

Cost Automation

Agents rightsize pods, reschedule to spot instances, and kill zombie workloads — turning cloud waste into measurable savings with no human intervention.

Typically 30-60% cost reduction

Policy Guardrails

Define what agents can and cannot touch. Graduated trust model: agents start in shadow mode, escalate to approval-gated, then fully autonomous — category by category.

RBAC + audit trail on every action

24/7 Autonomous Run

Agents run constantly, not just when you're watching. They log every action, report every outcome, and escalate the edge cases they can't handle — so your on-call is only paged for real problems.

99.7% autonomous uptime

From zero to autonomous in three steps

01

Install the agent

One Helm command. Agent deploys into your cluster as a native Kubernetes workload — no sidecars, no forks of your existing stack.

helm install kova-agent kova/agent \
--set cluster.name=production \
--set apiKey=$(kubectl get secret \
kova-creds -o jsonpath='{.data.key}'\
| base64 -d)
02

Define your policies

Configure what agents can do autonomously and what requires approval. Start permissive in staging, lock down before production.

# kova-policy.yaml agent: mode: shadow # start here escalate-on: - pod_restart_loop - oom_kill auto-action: - resource_rightsizing - spot_rescheduling
03

Watch it work

Dashboard shows every agent action in real time. Logs, metrics, and reasoning traces are stored — so you can audit everything and build confidence over time.

91% of common incidents resolved autonomously within 24h

The math speaks for itself

91%
reduction in MTTR
From 45 min average to under 4 minutes for pre-diagnosed issue classes
47h
engineer time saved per cluster per month
Incident response, manual runbooks, and ticket back-and-forth
34%
average cloud cost reduction
Through rightsizing, spot migration, and zombie workload cleanup
8s
median time to first action
vs. 15-30 minutes for human triage and diagnosis
Kova is live in production clusters today

Your infrastructure runs when you're asleep.
Not when you're on call.

Kova agents work 24/7 — watching every pod, every node, every deployment. They catch what humans miss and fix what humans delay. The result is infrastructure that runs itself, and engineers who get their sleep back.

Built for Kubernetes Redis Prometheus Grafana Helm GitOps