Find incidents before they happen

Test. Deploy. Rollback.

without writing any test cases or scripts

Get Started

Early warning
Early warning

Proactive detection of Unknown Application Logs

While you probably have liveliness healthchecks what about new/unknown logs or ones that haven't yet manifested as critical incidents in pre-prod environments.
Automatically verifies a new release is reliable by analysing -

  • App Events
  • App Exceptions
  • App Errors and Warnings
Keploy continually scans for new application logs that needs attention before deploying on production, allowing engineers to proactively fix latent bugs

gitops management
gitops management

Monitoring Observability

Keploy continuously analyses performance of metrics of new releases.

  • P99 Latency
  • P50 Latency
  • P95 Latency
  • P90 Latency
  • Error Rate
  • Memory
  • CPU...& more

It reduces deployment failure by 3X by automating risk assesment during Canary, Blue-Green deployments.

git ops management

Works with Existing CI/CD pipeline

Droid comes “out-of-the-box” with direct integrations for many CI/CD tools, log analyzers, and APM tools, requiring only a few mins to configure, fetch and analyze metrics from your logs and data sources.

Start Canary, B/G deployments in 30 minutes


Register for a Demo to see how you can setup Progressive Deployments (Canary, BG...) within 30 minutes without needing any service/app-specific verifying scripts.
No further maintenance required

Your 10 roll-outs are on us if it takes more than 30 mins!

Benefits

Increase Deployments/ Release Velocity
Increase Deployments/ Release Velocity

Dev teams can operate independently. Can make application releases anytime, anywhere.

Increase Productivity. Reduce toil.
Increase Productivity. Reduce toil.

More of devops bandwidth can be focused on SRE and automation reducing repetitive tasks.

Reduced MTTR. Saving Devops Cost.
Reduced MTTR. Saving Devops Cost.

Anomalies are detected asap and application rollbacks. Reduce effort spent by devops on rollbacking applications.

No limit on Deployment Window
Automated Decisioning

Deploy/Rollback anytime safely, no need for devops to burn midnight oil for application releases. Less frustation, more fun.

No custom Scripts for Progressive Deployments
No app specifics Scripts for Deployments

Let the AI understand patterns and do progressive delivery. No need to write and update custom scripts for Canary/Blue-Green deployments.

How it works!

1

Pair Kubernetes clusters

2

Add Webhook to CI/CD pipeline

3

Sit back, Relax!

git ops management

Find Informative Answer

Since HyrbidK8s captures metric and logs data only during deployments the egress cost is very minimal compared to standard log aggregation platforms.
Keploy stores application specific data only in case of deployment failures. The data stored can be viewed by Admins/Developers in the Keploy console. It includes only the metrics that failed and regexes of failure logs. Most PII information and keys are removed.
Keploy is majorly used to verify the quality of deployments and can be easily un-plugged/overidden in case of downtime/issues as the deployments can be manually verified/monitored, hence no vendor lock-in.
Keploy first looks at the metric data like latencies, error rates, memory etc where ~70% of the deployements fail and then the application behavioural logs which can be configured to avoidance.