OpsCruise behavioral profiling approach to anomaly detection reduces false positives by 75%+ but still maintains a high degree of efficacy. This eBook provides results of its efficacy from actual enterprise customer production deployments - something rarely showcased by observability technology suppliers.
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Your newer cloud native 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.
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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
In complex microservice architectures it can often be hard for engineering teams to see the big picture; OpsCruise provides us an affordable, engaging, and approachable view that allows engineers to see how their microservices fit into the entire stack. Most importantly, because OpsCruise is building on our existing open source monitoring stack, deploying it was simple and required no changes to our running services.”
– Matt Surabian, Director, DevOps Engineering, Avis Budget Group (ZipCar)
"At Quest Diagnostics, we were rolling out a number of modern dynamic applications that needed a fundamentally more proactive, less invasive approach to monitoring. OpsCruise was the clear choice over several incumbent monitoring technologies already deployed in other environments because of its deployment ease through an embedded open source monitoring stack, overall efficacy and TCO."
Gorkey Vemulapalli
Director, Application Engineering
"OpsCruise is the RedHat of open source monitoring"
Karl Gouverneur, CIO
"Alert storms and a lack of visibility to service interactions were common in Instart's rapidly growing K8s environment. With little deployment effort and no need to define thresholds, OpsCruise provided a real time understanding of our applications and surfaced the high priority issues needing attention."
Abhijit Patra, VP Engineering, Instart
"OpsCruise is predictive and minimizes the need to over-provision resources to maintain service levels. It's a game changer."
Sriram Thiagarajan, CIO
The dynamic nature of containerized apps challenges traditional monitoring approaches to the point of inadequacy. OpsCruise drops straight in and adaptively delivers intelligent, fast and continuous insights to drive increased reliability, performance and availability.
Bruno Pisano, Founder & CEO, Elafent
"OpsCruise is a promising and novel approach for integrating information from both Prometheus and Kubernetes to help visualize the environment and automate production troubleshooting."
Julius Volz, Creator of Prometheus.io, Infrastructure Engineer
"At Bitovi, we work with organizations to reduce the burdens of developers and SREs through automation. OpsCruise’s real-time anomaly detection and alerting provides a solid foundation for auto remediation which will ultimately eliminate the war room altogether."
Mick McGrath, DevOps Director, Bitovi
"This will dramatically improve the productivity of Dev and SRE teams constantly in war rooms."
Brad Bell, CIO
"OpsCruise’s unique ML-driven application visibility and automated root cause analysis is ideal for issue detection and resolution needed in any K8s environment and existing open monitoring framework."
Alak Deb, Chief Cloud Architect, A10
"OpsCruise goes far beyond traditional event correlation tools - contextual ML enables causal analysis, fewer false positives and no missed false negatives."
Tom Bakewell, CIO
Quest Diagnostics journey to observability in Kubernetes
Testimonial for OpsCruise by Matt Surabian of Avis ZipCar
Join OpsCruise Founders and Karl Gouvernor, former CIO of Northwestern Mutual on embracing open source tools for monitoring modern applications
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
Recommended actions
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
