Kubernetes monitoring and observability With Logz.io

Deliver a more reliable and performant Kubernetes environment with deep cluster visibility and advanced troubleshooting

Unify all your Kubernetes data to monitor health and performance
Unify all your Kubernetes data to monitor health and performance
  • Full stack visibility: Centralize and visualize log, metric, and trace data from every component in your Kubernetes environment: your nodes, Control Plane, containers, and apps, together.
  • Surface health and performance issues: Set alerts to automatically trigger notifications when health and performance metrics for any component cross defined thresholds.
  • Ensure a reliable Control Plane: Track critical metrics – like non-200 HTTP response codes – of every Control Plane component so it can schedule and orchestrate services to keep your cluster running smoothly.
Connect the dots across different signals to troubleshoot faster than ever
Connect the dots across different signals to troubleshoot faster than ever
  • Investigate fast: Correlate across logs, metrics, and traces to drill into the root cause of infrastructure issues.
  • Change analysis: Understand how changes in your environment – such as new deployments and configurations – impact all your services.
  • Automatically surface critical K8s errors and exceptions: Logz.io’s human-coached ML flags key K8s errors and exceptions based on analysis from real engineers.
Use cloud-native integrations to dynamically monitor orchestrated services
Use cloud-native integrations to dynamically monitor orchestrated services
  • Native Kubernetes integrations: Use popular open source technologies hosted by the Cloud-Native Computing Foundation to seamlessly collect K8s observability data – including OpenTelemetry, Prometheus, and Fluentd.
  • Automatic service discovery in dynamic environments: Automatically collect data from newly created services, regardless of where they spin up.
  • Monitor any Kubernetes platform: Including AWS EKS, Azure AKS, GCP GKE, OpenShift, Rancher, Anthos, and any other Kubernetes platform.
Cloud and Kubernetes-scale observability
Cloud and Kubernetes-scale observability
  • Built on Kubernetes, for Kubernetes: Logz.io’s cloud-naive SaaS platform automatically adjusts scaling to ingest and store fluctuating volumes of data.
  • Any scale, any burst, always up: Ensure your applications are highly performant and available even during unexpected spikes in traffic.
Tame noisy data and high costs with smart data optimization

Dish Network engineers were able to reduce their observability by 62% by filtering out the noise.

Tame noisy data and high costs with smart data optimization
  • Eliminate the noise: Easily identify and filter out unneeded data on the fly with Logz.io’s self-service tools, or get hands-on expertise from Logz.io engineers to remove unneeded data.
  • Optimize storage to reduce costs: Reduce the cost of data storage as it ages without compromising on querying performance.
  • Manage costs, teams, and data across clusters: Easily monitor data volumes across teams to find trends and opportunities for cost reduction. Set caps to prevent bursty data from running up your bill.
2022 Gartner® Magic Quadrant for Application Performance Monitoring and Observability
Forrester Observability Snapshot.