Achieve complete observability of your container environment
- Wrixte Telemetry Collector allows you to send all your log, metric, and trace data to Wrixte SIEM using just one agent.
- Easily monitor the health and performance of every Kubernetes component with K8s 360, providing an out-of-the-box overview without the need for dashboard set up.
- Quickly identify the root cause of problems with detailed analysis by correlating logs, metrics, and traces.
Streamline all of your container data to track performance and health
- Easily centralize and visualize log, metric, and trace data from all components of your container environment, including nodes, Control Plane, containers, and applications.
- You can configure alerts to automatically send notifications when the health and performance metrics of any container exceed certain thresholds.
Wrixte Container Security Monitoring solution enables your Kubernetes cluster to schedule and orchestrate services to keep your cluster running smoothly.
Troubleshooting & Root Cause Analysis
- Easily correlate data across logs, metrics, and traces to quickly identify the root cause of any infrastructure issues.
- Understand the impact of changes in your environment, including new deployments and configurations, on all your services.
- Wrixte's machine learning system identifies critical Kubernetes errors and exceptions by analyzing real-world data from engineers.
Cloud-native integrations.
- Native Wrixte integrations: Use well-known open source tools hosted by the Cloud-Native Computing Foundation, such as OpenTelemetry, Prometheus, and Fluentd, to easily gather K8s observability data.
- Automatic data collection from newly formed services, regardless of where they spin up, is necessary for automatic service discovery in dynamic situations.
- AWS EKS, Azure AKS, GCP GKE, OpenShift, Rancher, Anthos, and any other Wrixte platforms can be monitored.
Comprehensive Cloud and Kubernetes Monitoring and Observability
- Wrixte’s cloud-native platform is designed to handle the scaling demands of your Kubernetes and cloud-based observability needs.
- Every scale, every blast, up: Make sure your applications are extremely performant and accessible even during unforeseen traffic spikes.
Optimize your data smartly to reduce costs and minimize noise.
- Reduce the noise: With Wrixte's self-service tools, you can quickly discover and filter out unnecessary data on the fly, or you can seek practical advice from Wrixte engineers to do so.
- Reduce the cost of data storage as it matures without sacrificing query performance by optimising storage to cut costs.
- Manage resources, personnel, and data between clusters: Easily track data volumes across teams to spot patterns and cost-saving opportunities. Set limits to stop bursty data from increasing your cost.
Case Studies
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