Speedscale leveraged Ephemeral / Preview Environments to help balance developer productivity and high-quality code by dynamically spinning mini-staging environments up and down on command for experimentation and deployment safety. The primary goals of the project were to reduce cloud infrastructure operating costs and increase deployment frequency. Benefits included speed, resource efficiency, and improved collaboration.

That’s the assessment of Senior DevOps Engineer and Logz.io user Armin Morattab when discussing the impact of AI on his day-to-day job. He dives deep on AI, observability, and strategies for improving workflows with Logz.io Co-founder Asaf Yigal in our webinar, AI in Observability: Real Engineers Talk Real Uses Cases.

Ephemeral environments transform software development by providing temporary, isolated spaces for testing and deploying microservices without affecting production. Given its robust orchestration capabilities, Kubernetes excels at creating these temporary environments, allowing teams to efficiently manage and scale containerized applications. By integrating tools like Helm and Kustomize, developers can maintain a codified version of their app and its dependencies.

Adopting best practices for software deployment is essential to maintaining a high standard of quality, minimizing downtime, and ensuring that your applications meet user expectations. Here are five best practices to help you deploy your software more securely and reliably.

As organizations begin developing generative artificial intelligence (GenAI) applications, observability challenges could hinder their progress. Few robust monitoring tools for GenAI applications are available, which makes identifying and resolving issues in these applications time-consuming and error-prone.