Your Kubernetes apps have an order of magnitude more dependencies, ephemerality, releases and telemetry.
Proprietary monitoring and APM tools were born in the era of monolithic apps and static infrastructure. They are expensive, intrusive, siloed and generate more noise than they’re worth.
Open source and cloud monitoring tools offer an excellent foundation but require highly skilled engineers to integrate, maintain and analyze the data they surface.
Your journey to a modern infrastructure is stretching the limits of your monitoring framework. It’s time for a fresh approach. It’s time for OpsCruise!
Our platform’s deep understanding of Kubernetes, coupled with our unique ML-based behavior profiling empowers your entire team to predict performance degradations and instantly surface their cause. All at a third of the cost of the current monitoring stack and without the need to instrument code, deploy agents or maintain open source tools.START NOW
Embed, support and integrate increasingly popular open source and IaaS cloud monitoring tools with a wide range of telemetry data.
Weave together your monitoring and configuration data. Integrate signals from logs, metrics, flows and traces with change data from events, configurations and CI/CD platforms in an application graph.
Zero-touch configuration and automatic discovery and monitoring of dynamic, ephemeral microservice workloads on Kubernetes and associated cloud services.
Detect problems using our predictive behavior modeling that automatically learns your application’s behavior to surface problems across application components, Kubernetes and the supporting infrastructure.
Don’t be left navigating between different screens or sitting on conference calls - experience automated causal analysis which proactively links unexpected behavior changes within your application estate and ties it causally to SLO breaches.
Deploy in minutes via Helm and automatically collect metadata on pods, deployments, services and nodes. There is no need to deploy agents on each host, Kubernetes side cars or change code.
Predicts performance issues before users are impacted
Improves SLA Compliance
Minimizes false negatives
Improves IT Ops/SRE, DevOps and Kubernetes infrastructure team productivity
One-third the cost of most monitoring platforms - builds upon open source monitoring tools
Minimizes resource overprovisioning and enables effective use of spot instances
Enables cloud and Kubernetes migration
Supports accelerated application roll-outs
Open, secure and lightweight deployment model
Get everything you expect from a modern observability platform - native telemetry, object, configuration and meta data - in a single place, without the legacy architectural baggage . . . or the legacy high costs!
Our unique ML automatically learns your application’s correct operating behavior. Without selecting and tuning thresholds, it predicts emerging problems. That means fewer false positives and avoiding false negatives.
Understand your application’s interdependencies, operational flow, and component health in a single view, without the legacy requirement of instrumenting code with agents or code changes.
OpsCruise is purpose-built for Kubernetes observability. Our platform’s deep understanding of Kubernetes, coupled with our unique ML empowers your entire team to understand your workloads and the issues that pertain to them.
OpsCruise leverages open-source, best-in-breed data collection tools. No agents, no sidecars, and no application changes required! It’s smooth cruisin’ with OpsCruise.
Rapid fault isolation
Deploy in minutes – no agents
Understand performance impact of code changes
Built on CNCF compliant tools
No code changes or insertions required
Cost and deployment optimization
Identify top service bandwidth and resource consumption
History of flows, resource usage, and application changes
Identify unexpected or unwanted 3rd party communications
Expose misconfigured security policies
Detect behavioral changes that create potential vulnerabilities