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Intelligent Application Observability for Kubernetes

Predictive Actionable Insights,
Clarity Amid the Chaos

Traditional monitoring tools are fundamentally flawed for modern apps. OpsCruise is purpose built for containerized Kubernetes applications which means clearer insights, faster resolution, lower cost and happier customers.

THE OPSCRUISE APPROACH

Modern Apps Need Modern Observability

Kubernetes apps
are complex.

Your Kubernetes apps have an order of magnitude more dependencies, ephemerality, releases and telemetry.

Legacy tools
are ill-suited.

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 standards are a
good start.

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 current approach
won’t scale.

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!

OpsCruise is the only observability platform purpose-built for Kubernetes applications.

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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Key Capabilities

What OpsCruise Delivers

Democratize your Observability Data

Embed, support and integrate increasingly popular open source and IaaS cloud monitoring tools with a wide range of telemetry data.

Powerful contextual visibility

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.

Best-in-class Contextual Kubernetes Monitoring

Zero-touch configuration and automatic discovery and monitoring of dynamic, ephemeral microservice workloads on Kubernetes and associated cloud services. 

Predict Issues Before Customers Are Impacted

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.

Eliminate The
War Room

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.

Up & Running In
3 Minutes

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.

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The Results

OpsCruise Impacts the Top Line, Bottom Line and Agility

Improves Availability

  • Predicts performance issues before users are impacted

  • Improves SLA Compliance

  • Minimizes false negatives

Reduce Cost

  • 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

Mitigates Risk

  • Enables cloud and Kubernetes migration

  • Supports accelerated application roll-outs

  • Open, secure and lightweight deployment model

TESTIMONIALS

What thought leaders say about OpsCruise

"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."

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

what makes opscruise different

Not Your Parent’s Monitoring Tool

Your Observability Data Unified, Not Siloed

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!

Predictive Behavioral profiling for more productivity, less noise

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.

Operational Flow View, without code instrumentation

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.

Kubernetes-centric, Not an Afterthought

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.

Easy, Open and Future Safe

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.

Example Use Cases

OpsCruise Problem Solving in Action

Kubernetes Visibility

Anomaly Detection

Fault Isolation

Predictive Problem Identification

Blue-Green Canary Testing

Causal Analysis

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Resources

Learn More About OpsCruise

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BENEFITS FOR STAKEHOLDERS

There's something in OpsCruise for everyone

IT & Tech Ops

Rapid fault isolation

Recommended actions

Deploy in minutes – no agents

Dev & DevOps

Understand performance impact of code changes

Built on CNCF compliant tools

No code changes or insertions required

Architecture

Cost and deployment optimization

Identify top service bandwidth and resource consumption

History of flows, resource usage, and application changes

Security

Identify unexpected or unwanted 3rd party communications

Expose misconfigured security policies

Detect behavioral changes that create potential vulnerabilities

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