Operations | Monitoring | ITSM | DevOps | Cloud

With SRE AI, Google plans to fully adopt AI and agentic technologies, leveraging AI as a force multiplier while also maintaining control.

The redesigned Gemini Cloud Assist proactively executes tasks such as designing applications and optimizing costs that used to need human oversight.

Controlled chaos engineering experiments that simulate real-world disasters quantitatively measure the impact of failures on system performance.

Cloud Observability’s curated Application Monitoring dashboards improve troubleshooting with best practices from Google SREs.

New UI features in Cloud Trace, part of Google Cloud Observability, make it easier to troubleshoot latency and errors in your applications.

As AI and ML become more prevalent, administrators can use Site Reliability Engineering (SRE) techniques to manage the ML infrastructure and software.

Google Cloud partnered with Enterprise Strategy Group (ESG) on a research study to uncover the secrets of successful platform engineering teams.

BigQuery’s pipe syntax introduces an intuitive, top-down syntax for understanding data transformations, and is used in Cloud Logging Log Analytics.

Are your developers using the latest AI-ready platforms to power ahead with innovation? If not, then it’s time to re-evaluate your platform strategy.

Most IT project management frameworks are directed at single-focus teams like software development, not multi-focus teams like SRE.