AI-Guided Kubernetes Visibility and Governance
Get full Kubernetes visibility and precise AI-driven insights, and scale confidently with greater control.
Drive Innovations with Advanced
Kubernetes Visibility and Governance
Complete K8s Cost Visibility
Instantly uncover optimization opportunities with precise, granular visibility into your K8s expenses across the entire environment.
- Holistic Cost View: Get a complete K8s cost view breakdown by cluster, namespace, workload, and label.
- Accurate Analysis and Insights: Use default pricing or integrate your custom report, like AWS CUR, for precise cost visibility.
- Value-Driven Decisions: Turn in-depth cost and waste insights into savings, prioritizing what matters most to drive meaningful results.
Control and Unmatched Flexibility
Leverage predictable optimization tailored to your environment’s unique requirements to maximize efficiency.
- Policy-Driven Optimization: Use customizable policies to meet both your SLA/SLOs and cost-efficiency goals.
- AI-guided Automation: Enable flexible automation to fully control and tailor every aspect of your optimization strategy.
- Impact-Aware Alerting: Focus on the most important and impactful areas with auto issue prioritization and budget guardrails.
Collaborative Team Alignment
Leverage extensive integration capabilities to streamline decision-making.
- Cross-Team Collaboration: Connect Developers, DevOps, Platform Engineers, and FinOps with a unified solution to address every critical issue efficiently.
- Anomalies Detection: Keep teams instantly informed with cost and resiliency anomaly detection to prevent disruptions and unexpected bills.
- Integrate with Established Workflow: Set your optimization ecosystem by connecting existing collaboration, ticketing, and observability tools
Streamlined Day-2 Operations
Leverage AI-guided intelligence to scale gracefully while ensuring that every dollar spent is justified.
- Autonomous Workload Right-Sizing: Instantly eliminate waste without compromising performance with safe, hands-free optimization.
- Proactive Issue Remediation: Maintain 99.99 system uptime with AI-driven, predictive intelligence.
- Smart Scaling and Budgeting: Improve your scaling strategy and budget forecasting to achieve operational excellence.
with PerfectScale
Discover PerfectScale's automated approach to Kubernetes optimization. Our platform guarantees effective, rapid improvements—ensuring your entire infrastructure operates at its best.
FAQs
Kubernetes visibility combines observability, monitoring, and continuous analysis of cost, waste, performance, and other real-time and historical metrics across clusters, namespaces, workloads, and node groups. When configured properly, it provides comprehensive visualization, event tracking, and in-depth insights, helping teams keep costs and performance under control, ensuring operational efficiency and environment health.
Visibility and observability are different in terms of scope and purpose. Visibility shows what is happening in the system through predefined dashboards and aggregated metrics, helping teams monitor known issues and detect when something is failing. Observability explains why something is happening by analyzing telemetry data such as logs, traces, and other metrics. While visibility addresses problems you expect and know how to monitor, observability helps uncover unknowns and enables to proceed with the RCA.
Precise Kubernetes cost insights start with accurate data. By integrating cloud billing data sources such as AWS CUR, Azure Cost Management, or GCP Cloud Billing into your visibility tools, you can pull actual usage and contracted pricing data, including discounts and other billing specifics, and convert them into comprehensive insights. By combining billing data with real-time and historical usage metrics, you can seamlessly identify cost trends, waste, idle, and allocate costs precisely to ensure every dollar is justified.
Yes. Kubernetes visibility is not only about cost, but it can also provide in-depth performance metrics to drive reliability and resiliency. By continuously analyzing performance, workloads behaviour and resource usage patterns, teams can proactivelly detect and adress risks, such as CPU throttling, OOM, misconfigured requests and limits, or inefficient scaling. This helps prevent pod restarts, performance degradation, latencies, and downtime, ensuring clusters remain stable and resilient.
PerfectScale enables exceptional control and governance with the predictable, policy-driven optimization approach tailored to your application requirements. It provides customizable optimization policies to align resource management with SLA/SLO targets and business and cost-efficiency goals. AI-guided automation allows controlled, hands-free optimization actions. On top of that, teams can seamlessly prioritize and address the most critical issues with impact-driven alerts.