Everything behind a running application
Deployment, infrastructure and operations in one platform. Built for your team and the agents it works with.
Four pillars, one platform
The building blocks that take your application from code to a running service.
Ask why your pod crashed. AI already has the context.
The AI assistant sees your logs, Kubernetes manifests, Stack deployments, resource states, and events all at once. It correlates symptoms across pods, services, and deployments to pinpoint root causes in seconds.
1.0 AI-Powered DebuggingWhy is the payment-service pod crashing?
The payment-service pod is being OOMKilled. Memory peaks at 312Mi against a 256Mi limit.
Agentic Tools
AI can fetch pods, logs, events, and describe resources automatically
Safe Actions
Restart deployments, scale replicas with confirmation prompts
Proactive Insights
AI monitors cluster health and surfaces issues before you ask
Chat History
Conversations persist across sessions for context continuity
Replace hand-written manifests with a drag-and-drop canvas.
Build Kubernetes environments visually. Group Helm charts and manifests into reusable Stacks, define dependencies, and deploy with one click. The engine handles orchestration - you focus on what to deploy.
2.0 Visual Stack BuilderReal-time Collaboration
Multiple users can edit stacks simultaneously with presence indicators
Conflict Resolution
Automatic detection and resolution of concurrent edits
Bill of Materials
See exactly what changes before deploying
Version History
Track every change with full rollback capability
Connect GitHub. Push to main. Your cluster updates.
Ankra's native GitOps engine reconciles configuration from your repository. Connect Git and your stacks sync automatically, with changes tracked in version history.
3.0 GitOps Without the SetupOne-Click Rollback
Instantly revert to any previous version with a single click
Version Comparison
Visual diff between any two versions of your resources
Webhook Integration
Automatic sync triggered by GitHub webhooks
Sync Status
Real-time sync status from Ankra's native engine
ankra clone, ankra apply, ankra get - automate everything.
Everything you can do in the UI, you can do via CLI or API. Perfect for CI/CD pipelines, scripting, and automation. The CLI is a first-class citizen, not an afterthought.
4.0 CLI & API Firstshop-api-7f9b 3/3 Running 0
postgres-0 1/1 Running 0
API Tokens
Create scoped tokens for CI/CD with fine-grained permissions
Infrastructure as Code
Define clusters and stacks in YAML, deploy with ankra apply
Idempotent Operations
Run commands multiple times safely without side effects
JSON/YAML Output
Machine-readable output for scripting and automation
Advanced CI/CD, already running.
Test, build, scan, publish and preview from one committed file. The cache, the runners and the security gate are there on the first push, on clusters you already pay for.
- checkout4f2c91e on main4s
- testcache hit · npm-9c1e restored48s
- buildrootless BuildKit · pushed by digest1m 12s
- scantrivy · semgrep · checkov54s
- gate0 fixable critical or high findings2s
- publishsha-4f2c91e6s
Every stage is a hardened Kubernetes Job in your own cluster. The pull request gets the check and a live preview.
stages:
- name: "test"
kind: "run"
run: "npm ci && npm test"
cache:
- key: "npm-${{ hashFiles('package-lock.json') }}"
restore_keys: ["npm-"]
paths: [".npm"]
- name: "build"
kind: "build"
build: { dockerfile: "Dockerfile", sbom: true }
- name: "scan"
kind: "scan"
scan: { scanners: ["trivy", "semgrep", "checkov"] }
- name: "gate"
kind: "gate"
- name: "publish"
kind: "publish"- Caching built in
- Cache volumes survive between runs, with restore keys for a warm start when the lockfile changes. Default-branch caches are walled off from branches and forks, so an untrusted ref cannot poison a production build.
- Runners ready to go
- No runner fleet to register, patch or scale. Every step runs as a Kubernetes Job on your CI cluster, and the cluster autoscaler adds nodes when the queue grows.
- Rootless image builds
- BuildKit builds rootless inside your cluster and pushes by digest, with an SBOM and provenance on request. If a cluster cannot build, Ankra's builders take over at no charge.
- A security gate before publish
- Trivy, Semgrep and Checkov scan the code, the infrastructure and the image. Fixable critical and high findings block the publish step until they are fixed.
- A preview on every pull request
- A pull request deploys the exact image digest its pipeline built to a preview URL, so reviewers click through the change.
- AI that reads the failure
- Ankra's AI watches runs, explains a red build from its logs and the cluster state, and can open the fix as a pull request for a human to merge.
$39,609
a year for a team running 400k CI minutes a month. That is 75% less than hosted runners, counting the engineering time that goes into keeping them working.
400k runner minutes a month · $28,80020 h a month of upkeep · $24,093
8 autoscaled nodes in your cluster · $9,6703 h a month of upkeep · $3,614
GitHub-hosted Linux at $0.006 a minute, against 8 always-on cloud-native-8c-16g Ankra Cloud nodes plus the Ankra Platform fee on all 64 of their vCPU. Upkeep is keeping workflows, runner images and caches working, at $100 an engineering hour, and is our estimate. Prices checked 4 October 2026.
Debug with natural language
Ask questions like you would ask a colleague. The AI has full context of your cluster and can take actions.
Why is the payment-service pod crashing?
I found the issue. The payment-service pod is being OOMKilled due to memory exhaustion.
Root cause: The recent deployment increased the connection pool size from 10 to 50, causing higher memory usage.
Fix: Increase the memory limit to 512Mi or reduce the connection pool back to 20.
Scale the api-gateway deployment to 5 replicas
I'll scale the api-gateway deployment in the default namespace to 5 replicas.
This will change the replica count from 3 to 5.
Build, manage, and troubleshoot visually
Create stacks with AI assistance. Manage dependencies as a graph. Troubleshoot issues in context.
Watch the demo: AI builds a monitoring stack, deploys it, and checks the logs.
Building monitoring infrastructure stack
Starting demo...
Live demo • Auto-playing
Every feature you need, built-in
One platform. Complete Kubernetes management.
See everything. No kubectl required.
Browse 20+ resource types with a purpose-built UI. Pods, Deployments, Services, Secrets, ConfigMaps, Ingresses, PVCs, RBAC, CRDs, and more.
Real-time logs with AI analysis
Stream logs from multiple pods simultaneously. Filter with regex, search by time range, and let AI help you find issues faster.
Proactive monitoring with AI
Set custom alert rules. When they trigger, AI analyzes root cause and suggests fixes.
Full audit trail with rollback
Track every change. Compare versions visually. Roll back to any point with one click.
Your team, working together
Multiple engineers editing the same stack simultaneously. Live presence, conflict-free sync, and draft mode for safe testing.
Live Presence
See cursors in real-time
Conflict-Free
OT-based sync engine
RBAC
Fine-grained permissions
Draft Mode
Test before deploy
And much more
Everything else you need to manage Kubernetes at scale.
Operations Dashboard
Track every deployment, rollback, and configuration change. See which Stack deployed what, when, and with which values. Filter by operation type, status, and time range.
Learn moreRBAC & Team Collaboration
Role-based access control for teams. Manage who can view, edit, or deploy to each cluster. Built for multi-tenant organizations with organisation-level permissions.
Learn moreHelm Chart Library
Access a curated library of vetted Helm charts from popular repositories. Subscribe to charts, browse versions, and deploy with pre-configured profiles.
Learn moreResource Relationships
Visualize resource dependencies with interactive relationship graphs. See how Deployments, Services, ConfigMaps, and Secrets connect to each other.
Learn moreNode Management
Monitor node health, resource utilization, and pod distribution. View time-series metrics for CPU, memory, and disk. Drain or cordon nodes from the UI.
Learn moreNamespace Overview
Get a bird's-eye view of each namespace. Quick metrics, workload counts, resource quotas, limit ranges, and network policies all in one place.
Learn moreKeep the margin a managed service charges.
A managed service bills you for the people who patch, upgrade and fail over the software. Ankra's AI agents do that work on open source you run yourself. Self-hosting everything this way can take hundreds of thousands off a cloud bill every year.
- Open source you own
- Kubernetes, CloudNativePG, Prometheus, Grafana and Loki, not a provider's proprietary service.
- A human approves every change
- The AI investigates and prepares the change. Nothing reaches a cluster without a yes.
- Nothing to migrate off
- Everything is standard Helm and YAML in your Git repository. Leave and it keeps running.
Your engineers stay. The busywork goes.
Operations hours a month for the estate below. Ankra's AI does the investigation and the change; what stays with an engineer is reviewing and approving it.
Handed to Ankra AIStays with an engineer
Cluster and add-on upgrades
Ankra plans the upgrade and promotes it through each environment; an engineer approves
−24 h6 of 30 h stay
Incident triage and on-call
The AI has already read the logs, events and metrics and proposes the fix
−30 h10 of 40 h stay
Vulnerability remediation
Security Center ranks what is exploited in the wild and the AI opens the fix
−20 h5 of 25 h stay
CI/CD and runner upkeep
Runners and caches are built in, and the AI explains and fixes red builds
−17 h3 of 20 h stay
Database operations
CloudNativePG fails over on its own; backups and restore points run on a schedule
−2 h6 of 8 h stay
Cost and capacity reviews
Cost Center prices the estate on every provider and flags idle capacity
−8 h2 of 10 h stay
133 h a month on managed services becomes 32 h with Ankra. On your own servers, add 6 h for hardware: a failed disk or host, a few times a year.
1,140 h
About 0.6 of a full-time engineer, kept on the team and pointed at the business instead of the platform.
Integrating new business
Wiring in the next customer, partner or acquisition.
Getting new teams going
Pairing with new teams and developers so they ship in their first week.
Adopting what is next
Rolling out the next database, model or framework faster than ever.
The same estate, three ways.
One scale-up's production, staging and development for a year. Bars are drawn to scale, and every figure is a public list price or an assumption printed underneath.
InfrastructureAnkra PlatformEngineering time on operations
Managed cloud services
$488k
$40,664 a month
- Kubernetes nodes
- $193,421
- 48 × m6i.2xlarge, 8 vCPU / 32 GiB
- Managed control planes
- $2,628
- 3 × EKS
- Managed PostgreSQL
- $38,448
- 2 × RDS db.r6g.2xlarge, Multi-AZ
- Observability
- $32,496
- Datadog infrastructure and APM on 48 hosts, 5 TB of logs
- Internet egress
- $31,949
- 30 TB a month
- CI/CD
- $28,800
- 400k GitHub-hosted runner minutes
- Engineering time on operations
- $160,221
- 133 hours a month that could go to new business instead
Self-hosted on Ankra Cloud
$181k
$307k less a year
- Kubernetes nodes
- $38,413
- 48 × cloud-native-16c-32g, 16 vCPU / 32 GiB
- Control planes
- $992
- 3 highly available kubeadm control planes, built by Ankra
- PostgreSQL
- $9,439
- CloudNativePG, primary and replica on 4 × premium-8c-64g
- Observability
- $2,815
- Prometheus, Grafana and Loki on 3 nodes, logs in object storage
- Internet egress
- Included
- 20 TiB included with every server
- CI/CD
- $3,311
- Ankra Pipelines on 8 × cloud-native-8c-16g
- Ankra Platform
- $87,636
- Startup plan, 912 worker vCPU
- Engineering time on operations
- $38,549
- 32 hours a month that could go to new business instead
Self-hosted on your own servers
$163k
$325k less a year
- Servers
- $38,400
- 6 servers (2 × 32-core CPUs, 768 GiB memory, NVMe) over 5 years, one spare
- Colocation
- $30,000
- one rack with power, cooling and 2 × 1 Gbps transit
- Off-site backups
- $1,696
- 20 TiB in Ankra Cloud object storage
- Internet egress
- Included
- Flat-rate transit, included in colocation
- Ankra Platform
- $47,097
- Startup plan, 504 worker vCPU
- Engineering time on operations
- $45,777
- 38 hours a month that could go to new business instead
How these numbers are built. Prices checked 4 October 2026.
- 48 Kubernetes nodes of 8 vCPU and 32 GiB across 3 clusters, 2 highly available PostgreSQL databases, 30 TB of egress and 400k CI minutes a month.
- Managed cloud: AWS Frankfurt on-demand list prices, Datadog list prices and GitHub-hosted runners. Storage, NAT, support plans and discounts are left out of every option.
- Ankra Cloud: public catalogue prices. Database nodes use Dedicated CPU plans, which open to new orders soon. Euro prices converted at €1 = $1.15.
- Your own servers: $32,000 per server (2 × 32-core CPUs, 768 GiB memory, NVMe) written off over 5 years, and $2,500 a month for one rack with power, cooling and 2 × 1 Gbps transit. These are assumptions; your quotes will differ.
- Both self-hosted options include the Ankra Platform Startup fee on every worker vCPU beyond the 30 free.
- Engineering time: $100 an hour, from a $139,000 average US DevOps base salary, loaded by 30% for taxes and benefits, over 1,800 working hours a year. The hours per task are our estimate for this estate, not a measurement of yours. The engineers stay: hours the AI takes over are valued at what they cost, then spent on new business instead of operations.
Built for enterprise, designed for simplicity
Zero vendor lock-in. Lightweight agent. Enterprise-grade security.
Lightweight Agent
The Ankra agent is a single pod that makes outbound-only connections. No complex operator patterns, no CRDs to install, no ingress required.
Zero Firewall Changes
The agent connects outbound to Ankra's platform over HTTPS. No firewall rules, no port forwarding, no VPN tunnels needed.
Git as Source of Truth
All your infrastructure definitions live in your Git repository - including secrets encrypted with SOPS. Export at any time. Leave whenever you want - your clusters keep running.
Enterprise Security
All data encrypted in transit and at rest, SSO with enforced MFA, and an append-only audit log. Secrets are encrypted with SOPS and stored safely in your Git repo - Ankra handles the complexity.
Everything you deploy stays yours
Ankra uses standard Helm charts and Kubernetes manifests. Your configurations and SOPS-encrypted secrets are stored in your Git repository. If you ever leave, your infrastructure keeps running exactly as before.
- Standard Helm charts - no proprietary formats
- Your Git repo is the source of truth
- Secrets encrypted with SOPS - fully portable
- Agent is lightweight and removable
Ready to run your application?
Import your first cluster for free. No credit card required.