PerfectScale by DoiT: Q4 2025 Releases Recap

As we approach the holiday season, it’s the perfect moment to pause, reflect, and celebrate everything our team shipped in Q4. Our elves worked hard this quarter, delivering features as crispy as the first snow, designed to make K8s optimization smooth and reliable, so you can enter 2026 with confidence and spend time enjoying Christmas lights instead of putting out cluster fires.

Right-size workloads without restarts

PerfectScale now supports in-place workload rightsizing. By combining the latest Kubernetes capabilities with autonomous real-time optimization, it removes operational overhead and continuously maintains the efficiency and reliability of your clusters, minimizing the risk of disruptions or downtime. This drives safe cost reduction and makes your optimization process more flexible, predictable, and fully aligned with your business goals.

Discover the full story and learn how you can take advantage of this update.

Optimize JVM containers 

PerfectScale removes the disconnect between Kubernetes and JVMs, delivering autonomous real-time optimization for Java containers. 

By continuously analyzing JVM metrics, PerfectScale unlocks granular visibility into Heap, Non-Heap, and Garbage Collector usage patterns over time and provides tailored, data-driven recommendations to safely reduce K8s costs while maintaining consistent performance.

With a deep understanding of your Java applications’ behavior over time, PerfectScale’s advanced automation aligns JVM metrics with container resources and safely fine-tunes Java workloads, preventing memory instability, performance regressions, and ensuring an efficient, stable Kubernetes environment.

Dive deeper into Java container optimization.

Align continuous optimization with continuous deployment

We now support progressive delivery strategies such as canary and blue/green deployments. What does this mean for you? We know that you want to deliver high-quality features fast and with no stress. We also know that although Argo Rollouts provide clear benefits, they can introduce operational challenges and conflict with K8s optimization goals.

PerfectScale’s rollout-aware automation removes this friction by understanding the full context of your Argo Rollout strategy. By continuously analyzing each replica and right-sizing it in real time, it enables safe and precise optimization even in advanced K8s environments, aligning optimization with your release process.

Want to know more? Start here.

Organize and tailor the dashboards with cluster labels

With cluster labels, you can easily filter and manage your Kubernetes clusters, tailoring dashboards to show exactly what matters most instead of default views. 

This update not only helps you to cut through the noise and focus on the clusters and metrics you care about, but also unlocks more precise optimization, ensuring key metrics accurately reflect the specifics of your, even highly dynamic, Kubernetes environment. 

Get visibility over Automation actions with API

Prefer a programmatic approach to managing your Kubernetes clusters rather than using the UI? 

We’ve expanded PerfectScale's capabilities, and now you can seamlessly retrieve, filter, and integrate all automation activity into your systems with the Automation Audit Log API. The new endpoint enables full transparency and control over Automation actions, helping you monitor, analyze, and optimize workflows with ease.

Try PerfectScale light mode!

A fresh look for your clusters! PerfectScale is now available in the Light theme, so you can seamlessly switch between Light, Dark, and System modes to make your dashboard feel just right.

Updates are live! Put them to work and enjoy the festive boost in performance and efficiency 🎄✨

📚 Want learning more? Visit our documentation portal or book a technical session with our tech experts.

🆓 Still not with PerfectScale? Start for free today and enhance your K8s optimization journey.