Kubernetes Optimization

Learn how to effortlessly scale and right-size Kubernetes with granular control that ensures peak performance at the lowest possible cost

Kubernetes optimization tool - PerfectScale by DoiT empowers you to effortlessly fine-tune your environment, ensure optimal resource allocation, and achieve peak performance with comprehensive insights for the lowest possible cloud cost.

This documentation serves as your comprehensive guide to mastering the platform, ensuring you achieve maximum results efficiently.

Getting started with the self-hosted K8s optimization tool

  1. Get a thorough analysis of risk and cost, and start leveraging a full optimization suite that is living within your environment.

  2. Facilitate a productive collaboration by inviting your team.

Next to achieve

Get a detailed multi-cloud, multi-cluster view of your K8s spending based on actual resource utilization, pinpoint problematic areas, prioritize the most impactful actions, and apply data-driven recommendations to reduce waste safely without affecting stability and performance.

Identify up to 30 different types of resilience risks, prioritize them by their impact on your services, and apply actionable recommendations to resolve them in just a few clicks.

Effortlessly and proactively optimize your Kubernetes environment by adjusting workloads' CPU and memory to achieve optimal values and ensure your environment is always perfectly tuned without manual intervention.

Analyze your K8s data across clusters, namespaces, and node groups to evaluate effectiveness, pinpoint anomalies, improve forecasting, and enable data-driven decisions based on long-term trends.

Maximizing your optimization results

Create a tailored optimization ecosystem with diverse integration options to keep up with all your Kubernetes activities, streamline your optimization processes, and enhance your team's productivity.

  1. Configure Alerts: Receive real-time notifications about resilience risks or cost anomalies before they affect the performance or effectiveness of your environment.

  2. Set Up Communication Channels: Manage alerts via Slack, MS Teams, or Datadog.

  3. Connect Issue Management: Integrate with Jira to handle issues efficiently within clusters.

  4. Customize Pricing: Tailor pricing to your needs with various pricing customization options

  5. Integrate Observability: Enhance K8s visibility with tools like Grafana, Datadog, and more.

When a self-hosted solution makes the most sense

While PerfectScale's SaaS Kubernetes optimization platform works seamlessly for many teams, some organizations may require more control over their environment. In some situations, using the self-hosted solution makes a lot of sense to meet specific infrastructure requirements, whether driven by security and compliance needs or a desire for greater control and independence.

Here are some key considerations to help you decide when a self-hosted platform might be the best option for you.

Security and Compliance

A self-hosted PerfectScale platform provides you with full control over your data, making it easier to meet strict security, compliance, and residency requirements. It allows you to implement custom protection measures, avoid shared environments, and easily align with the security standards.

Operational independence and availability

A self-hosted PerfectScale platform ensures offline capability, allowing it to run in environments with limited internet access and restricted or air-gapped environments, giving you full control over where your data is stored and keeping it within required geographic boundaries.

Perception and enterprise readiness

A self-hosted PerfectScale platform is commonly chosen by large organizations because it meets their needs for self-hosted deployments of core services, as well as allowing for faster procurement approvals in highly regulated industries such as finance, defense, and healthcare.

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