Meet Skippy
An AI copilot that watches your infrastructure, finds issues, and opens PRs to fix them.
Connects to your entire stack. Runs on-prem. Zero telemetry from day one.
Memory request overcommit on api-gateway deployment — requesting 2Gi but averaging 340Mi
Trusted by teams at
Skippy sees your entire stack
Connect your tools. Skippy builds a complete picture of your infrastructure and finds problems before your users do.
GitHub
Linear
Kubernetes
Grafana
Prometheus
SigNoz
Datadog
AWS
Finds issues. Opens PRs.
Skippy continuously monitors your infrastructure, identifies problems, and creates pull requests with the fix. You review and merge.
Watches metrics, logs, and deployments across your entire stack
Identifies misconfigurations, resource waste, security risks, and performance problems
Creates pull requests with the fix, explains the reasoning, and links to evidence
You stay in control. Review the change, approve it, and Skippy learns from your feedback
Skippy remembers
Every review, every merge, every rejection teaches Skippy something new. It builds a memory of your infrastructure and your preferences — getting sharper with every interaction.
Pattern recognized
You always set resource requests to 2x the P95 usage. Skippy now does this by default.
Your data stays yours
Privacy isn't a feature we added later. It's how we built Skippy from the ground up.
K8s Cluster
prod-east
Grafana
Internal
GitHub
Enterprise
Skippy runs here
Inside your network. Inside your control.
No data leaves your network · No analytics · No tracking · No telemetry endpoints
On-prem by default
Skippy runs in your infrastructure. Your data never leaves your network. No cloud dependency, no third-party risk.
Zero telemetry
We don't collect usage data, analytics, or metrics. No tracking pixels, no phone-home endpoints. Nothing. From day one.
Your keys, your control
Bring your own LLM API keys. Your credentials are encrypted locally and never transmitted. Full audit trail on every action.
Meet Sailor
Managing AWS across multiple accounts and regions is painful. Different consoles, different tabs, different contexts. Sailor puts everything in one window.
production-cluster
us-east-1 · v1.29 · 4 nodes
| Node | Est. Cost |
|---|---|
ip-10-0-1-42 t3.xlarge | $2.47 |
ip-10-0-2-18 m5.large | $1.84 |
ip-10-0-3-91 c5.xlarge | $3.12 |
ip-10-0-1-67Cordoned t3.medium | $0.62 |
EKS & Kubernetes
Cluster overview with CPU/memory donut charts, per-node cost estimation, over-commitment detection, pod issue alerts, HPA/VPA monitoring, RBAC, and real-time watch subscriptions.
S3 Buckets
Browse, upload, download, and manage objects. Bulk operations and version management.
DynamoDB
Scan tables, edit items, and run operations with a clean spreadsheet-like interface.
EC2, RDS, ECS & More
Manage instances, databases, containers, Lambda, Elasticache, IAM, Secrets Manager, and Parameter Store.
Embedded Dashboards
Tag any AWS resource or K8s workload with a dashboard URL. Datadog, Grafana, and SignalFx render inline — no tab switching.
Command Palette
Press CMD+P to instantly search and navigate to any service, cluster, or resource across all your AWS profiles.
Not a replacement. A unifier.
Sailor embeds your existing Datadog, Grafana, and SignalFx dashboards right next to your infrastructure. No new tools to learn. No dashboards to rebuild. Just everything in one window.
Tag your resources
Add a SAILOR_DASHBOARD tag to any AWS resource or a Kubernetes annotation to any workload. Point it at your existing dashboard URL.
Dashboards appear inline
Sailor detects the tag and renders your Datadog, Grafana, or SignalFx dashboard right inside the app — alongside metrics, logs, and traces.
Zero migration
Nothing to rebuild or reconfigure. Your team keeps using the same dashboards they already know — Sailor just puts them in context.
Ready to let Skippy watch your stack?
Deploy Skippy to find issues and open PRs. Download Sailor to manage your AWS.
On-prem deployment · Zero telemetry · macOS & Linux