autoscaling

Kubernetes is a strong runtime foundation, but production AI also needs controls for slow startup, uneven demand, streaming connections, credentials, telemetry and rollback. A prototype can look healthy with one developer, one ...

The rise of cloud-native technologies—containers, microservices, serverless computing and Kubernetes—has pushed companies to think more carefully about how to control the costs associated with these technologies. As the number of organizations deploying ...

Kubernetes schedules accelerators as opaque integers, and your bill pays for it. Share the silicon, scale on the right signal and keep weights out of the image ...

The rush to deploy Large Language Models (LLMs) and generative AI has created a massive infrastructure bottleneck. Platform engineering teams are spinning up expensive GPU node pools on Kubernetes, but they are ...

Prepare your cloud-native apps for chaos! Discover essential strategies to handle traffic surges, from resilient architecture to real-time monitoring, ensuring your applications thrive under pressure ...

Discover the latest enhancements in Kubernetes workload scheduling, including the Workload API and gang scheduling features aimed at optimizing application performance and management ...

Running stateful elements like databases on Kubernetes has led to new and unique challenges and opportunities, particularly in autoscaling ...

Applying AIOps models and moving toward autonomous infrastructure can reduce Kubernetes complexity and improve scale for microservices applications ...

StormForge today announced it has expanded its ability to vertically or horizontally scale Kubernetes pods automatically using machine learning algorithms. Rich Bentley, product marketing manager for StormForge, says the latest version of ...

As we close out 2021, we at Container Journal wanted to highlight the most popular articles of the year. Following is the fifteenth in our series of the Best of 2021. I ...