AI

Google adds VM monitoring to Database Center amid enterprise demand

This capability, according to Google, is a result of several enterprises demanding support for monitoring self-managed databases to gain full oversight of all their...

The truth about Python’s AI-powered popularity surge

Python’s popularity is surging thanks to AI, but also its power and ease of use. Editable installs for Python packages and the newly refined...

Can your cloud provider really scale?

Holding providers accountable As cloud capacity challenges continue to emerge, enterprises must reassess how they engage with public cloud providers. The first step is a...

Monitoring microservices: Best practices for robust systems

Logging. Implement a pre-defined logging with a well-known format (e.g., JSON). This ensures that logs from distinctive offerings are easily parsable and searchable, and...

Claude Sonnet 4 upgrade enables full codebase processing in a single request

“With expanded context windows, enterprises can potentially accelerate their development and debugging at scale,” said Neil Shah, vice president for research and partner at...

Five kinds of static code coupling

There are five types of static connascence. Recognizing them and understanding them can help you see more deeply into your code and how it...

The rise of AI model-as-a-service ecosystems

The rapid growth of model catalogs from hyperscalers and third-party providers is creating an environment where the heavy lifting of model hosting,...

Devops, SRE and platform engineering: What’s the difference?

Benjamin Brial, founder of platform engineering company Cycloid.io, emphasizes that all three “share a common goal, which is to improve the efficiency, reliability, and...

A developer’s guide to code generation

What are the dos and don’ts of prompting AI code generators? Top devops teams create prompt knowledge bases to teach best practices and illustrate how...
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