PodOps – Cluster Ops

A Framework for Proactive OpenShift Excellence

As businesses evolve toward cloud-native agility, the urgency to manage and optimize Kubernetes platforms intensifies.
PodOps – Cluster Ops by Crossvale delivers a proactive operations and tuning framework specifically tailored to Red Hat OpenShift. It empowers enterprises to sustain 99.95% uptime while eliminating the need for in-house OpenShift experts.

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Cluster Ops for OpenShift

PodOps delivers 99.95% uptime, proactive platform optimization, and deep analytics.  For enterprises struggling with OpenShift performance, Crossvale’s Cluster Ops for OpenShift ensures proactive optimization and

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f1 cars race representing high performance of Cluster Ops for ROSA/ARO

Cluster Ops for ROSA/ARO

PodOps guarantees 99.95% uptime and proactive L2 & L3 operations. Simplify and streamline your operations with Cluster Ops for ROSA/ARO. Crossvale delivers expert support to

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SOLUTION SNAPSHOT

PodOps – Cluster Ops is a managed service that provides:

  • Proactive L2 + L3 operations and tuning, not just reactive support
  • Built-in PodOps accelerators, reducing manual intervention by ~70% and doubling deployment velocity within 90 days
  • Workload and platform analytics, ensuring real-time visibility for stakeholders
  • Guaranteed performance SLA (99.95% uptime) under Crossvale’s custodianship

This service places accountability for platform efficiency in Crossvale’s hands, letting clients retain strategic ownership without requiring OpenShift SMEs.

WHY CHOOSE Podops - Cluster Ops

1. Optimized Efficiency

Manual tasks drop by ~70%, accelerating team focus on innovation.

2. Accelerated Deployment Speed

Leveraging automation, deployment velocity increases by up to 50% within months.

3. Resilient Uptime

Proactive tuning and monitoring ensure consistent 99.95% availability.

4. Strategic Insights

Predictive analytics surface platform and workload health, enabling data-driven optimization.

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Feel like we’d be a good fit? Book a time with our team and take the first step toward your transformation.

Our fears about integrating legacy systems with containers vanished when we saw how seamlessly the solution worked. What used to take three teams to manage now requires just one, and our deployment time dropped from weeks to days.

CTO, Regional Healthcare Network

THE OPERATIONAL CHALLENGE

As OpenShift adoption scales, platform owners regularly encounter:

  • Limited in-house expertise, making proactive tuning difficult

  • Unpredictable workload performance, impacting SLAs

  • Rising manual operational costs, hindering agility

  • Lack of analytical insight, leading to reactive rather than strategic decisions

  • These hurdles can slow innovation, compromise reliability, and distract IT from high-impact tasks.
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KEY DIFFERENTIATORS

PodOps – Cluster Ops stands out with:

  1. Advanced L2 and L3 Support: Not just reactive, but tuning-level expertise across the stack

  2. Operational Accelerators: Prescriptive playbooks that streamline tasks and avoid drift

  3. Fully Managed Performance SLA: Accountability for uptime and efficiency

  4. Comprehensive Analytics: Delivering actionable insights to governance and platform teams

HOW IT WORKS

1. Onboard

Integrate your cluster into Crossvale’s framework, aligning observability, automation, and ITSM.

2. Monitor & Analyze

Continuous telemetry collection, anomaly detection, and performance analysis.

3. Tune & Optimize

Proactive intervention across infrastructure, orchestration, and workloads.

4. Support (L2 + L3)

Expert-led incident prevention, configuration tuning, and root cause investigations.

5. Report & Evolve

Stakeholder-ready reports highlighting uptime metrics, platform health, and performance trends.

Frequently asked questions

Through proactive monitoring, workload analytics, and advanced tuning, minimizing risks before they impact performance.

Your team only needs a Platform Owner; PodOps handles all OpenShift SME responsibilities.

We proactively optimize, not just react, ensuring continuous efficiency improvements.

Running both workload types in a unified OpenShift cluster enables dynamic resource sharing and automated scaling based on real-time demands. The integrated environment actually improves overall performance through intelligent workload placement and eliminates the overhead of maintaining separate infrastructure stacks. Our architecture ensures VMs and containers receive optimal resources while maintaining isolation where needed.

Yes, our operational accelerators adapt as your OpenShift environment grows, maintaining optimal performance. If you need further clarification, please Get In Touch With Us to discuss further details.