Operations | Monitoring | ITSM | DevOps | Cloud

Google Cloud Next is the biggest event of the year for the Google Cloud community, showcasing the latest and greatest offerings from Google Cloud and hundreds of its partners. As a long-time Google Cloud partner and recipient of three Google Cloud Partner of the Year awards in 2025, Datadog was there in full force, delivering several speaking sessions and running a booth on the expo floor where we met with thousands of attendees. In case you missed it, don’t worry.

In the world of data center operations, timing matters. While adopting technology too early and choosing the wrong vendor can lead to frustration, waiting too long can leave you playing catch-up. That’s why the Gartner Hype Cycle is such a useful tool. It helps organizations separate fleeting hype from lasting value.

In the ever-growing ecosystem of infrastructure and software development, where tools like Kubernetes introduce complexity and hyperscalers welcome sprawl, it's more important to have your SDLC buttoned up and as efficient as possible. CI/CD, one of Cycle's noble sidekicks, is important in kicking off the SDLC, and having a tool that gets the job done without introducing extra complexity or constraint is paramount.

Content monitoring software is designed to track changes on web pages over time—capturing additions, deletions, and modifications across everything from blog posts to landing pages and legal disclaimers. Traditionally, it’s used by businesses and organizations that need to keep tabs on important, frequently updated content—either for compliance, competitive intelligence, or performance reasons. Here are some of the most common use cases.

We’ve just rolled out an exciting enhancement to our Early Warning Signals system: Possible outages that we detect are now visible directly in your Admin board and on your public Status Page. Until now, we’ve notified StatusGator users about possible outages via email — and more recently, Slack — when we detected signs of an outage before any official acknowledgment. Now, these early warnings appear right where they’re most impactful.

In this employee spotlight blog, Shaheen Kalla, Presales Team Lead, explores what the future of AI in networking may hold and the possibilities it presents. So much has been written about AI in the context of software engineering, machine learning, and data manipulation - especially where large datasets are involved. However, very little has been explored when it comes to AI from a networking perspective.

Explore the pros, cons, and classroom impact of Chromebooks in 2025, plus tips for choosing the right device for students.

Modern development teams often rely on Continuous Integration (CI) pipelines to automate testing, building, and deployment of their code These pipelines are typically defined through configuration files stored within the source code repository. Developers, DevOps engineers, or other contributors with the appropriate permissions frequently need to edit these files to adjust workflows, add new checks, or support evolving project requirements.

Multi-agent AI systems are transforming how intelligent applications are built. By orchestrating multiple specialized agents that collaborate to solve complex tasks, these systems enable more dynamic and efficient workflows. However, deploying such a system reliably and at scale requires a structured approach to testing, packaging, and automation.

When an application functions flawlessly in your environment but crashes unpredictably on a client’s Windows server, the root cause is often buried in system logs—logs many developers overlook. Windows maintains comprehensive error records that document crashes, failures, and system events with precise detail. These Windows error logs serve as an invaluable resource for diagnosing issues in production environments.