Gain Full Visibility into Microservices with AI for Faster Debugging and Improved 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.
Zero to full Kubernetes observability in a few easy steps
Collect all your monitoring data with a single agent: with one simple installation, send your log, metric, and trace data to Logz.io’s Platform with the Logz.io Telemetry Collector.
Get an out-of-the-box overview of K8s health: with K8s 360, monitor the health and performance of every Kubernetes component immediately – no dashboard set up needed.
Drill into details fast: Spot an issue? Quickly dive into the root cause with log, metric, and trace correlation.
Enlist an AI Agent to investigate and troubleshoot faster
Investigate fast: Automate analysis 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 surfaces key K8s errors and exceptions based on advanced AI and machine learning.
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
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.
Identify, investigate and communicate Kubernetes security issues
Isolate security risks: Automatically scan for problematic software packages and dependencies, infrastructure-as-code issues and misconfigurations, and CVEs.
Communicate efficiently: Inform security workflows and cross-functional communications with Kubernetes-specific intelligence that enables faster response.
Enable a DevSecOps approach: Gain unified visibility across logs, metrics, traces and security—allowing DevOps teams to embrace end-to-end observability and troubleshooting.
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 AI-backed 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.
Your Data is Safe
Use a fully secure platform that adheres to strict data security rules. Compliant with: PCI Level 1, SOC-2 Type II, HIPAA, GDPR and ISO-27001.
*For a copy of the SOC+HIPPA report, please contact your account executive.