We’re excited to share that ScaleOps In-Place Pod Resizing is now generally available for production
This new capability brings fully automated, in place pod resizing that was built for production. No redeployments. No manual tuning. No restarts. Just real-time resource management that is application context-aware and optimizes pod resources while your workloads are running.
What is In-Place Pod Resize?
With In-Place Pod Resizing, ScaleOps can now manage CPU and memory allocations on running pods, without triggering restarts, evictions, or redeployments. That means your workloads stay live and uninterrupted, even as their resource needs change.
This enhancement makes ScaleOps’ real-time resource management platform even more powerful. Whether your workloads’ usage spikes, shrinks, or shifts over time, ScaleOps continuously and intelligently resizes them in runtime, with zero disruption.
It’s a game-changer for teams managing production environments, enabling faster, and more efficient scaling without ever compromising performance and reliability.
What This Means for ScaleOps’ Customers
Launching In-Place Pod Resizing pushes our platform’s core mission even further: delivering fully automated, application context-aware Kubernetes resource management.
With In-Place Pod Resizing, ScaleOps now supports:
- Real-time, automated resource management for running pods, no restarts required
- Zero disruption to stateful workloads
- Instantly manage changing usage patterns, spikes, or idle periods
- Cut even more resource costs without sacrificing reliability
There’s no configuration or setup required. ScaleOps automatically utilizes In-Place Resizing when needed.
Built for Critical Production Workloads
In-Place Pod Resizing is ideal for environments where stability and responsiveness are critical, including:
- Stateful services like PostgreSQL or Kafka
- Bursty or spiky workloads with unpredictable resource demands
- ML pipelines, Spark jobs, and other compute-heavy tasks
- High-SLA services where restarts isn’t an option
By resizing running pods instead of restarting them, ScaleOps helps platform teams significantly cut their cloud costs, while also improving performance and reliability, in their most critical production environments.
Wrapping up
Launching In-Place Pod Resizing reflects our mission to build real-time, application context-aware automation for Kubernetes, redefining how platform and devops teams manage modern infrastructure.
See how in-place pod resizing (and the full power of real-time Kubernetes resource management) works in your environment.
👉 Talk to our team or try it out yourself
