Operations | Monitoring | ITSM | DevOps | Cloud

On the October episode of This Month in Datadog, Jeremy Garcia (VP of Technical Community and Open Source) covers unified Error Tracking, Security Operational Metrics, and a new Datadog Serverless feature for retrying or redriving failed AWS Step Functions executions directly from Datadog. Later in the episode, Shri Subramanian (Group Product Manager) spotlights Datadog LLM Observability’s native integration with Google Gemini. Also featured are our blog posts Operator vs.

In today's rapidly evolving technology landscape, Application Performance Monitoring (APM) has become a critical component for DevOps teams striving to maintain high-performing, reliable applications. This comprehensive guide explores everything modern DevOps teams need to know about implementing and optimizing their APM strategy.

We’ve all experienced those frustrating moments when a network error code pops up unexpectedly, and you're forced to stop everything you're doing. We all hate to see a 404 (Not Found) or 500 (Internal Server Error) network error coming. Whether it’s sluggish connections, dropped calls, or websites refusing to load, the instinct is often to try quick fixes, browse a few “how-to” articles, or even just wait for the issue to pass.

Looking to optimize your Azure Stack HCI and boost the efficiency of your on-prem infrastructure? Watch this exclusive on-demand webinar to learn actionable strategies for improving performance and reducing costs, tailored specifically for IT professionals managing Azure Stack HCI environments.

In an agile DevOps environment, developers move quickly and often, making small changes in ongoing sprints. Once applications go live, operations teams (and often times, developers themselves) take over performance management and issue resolution, while updates and improvements continue. Developers and DevOps teams need a continuous flow of information on how each iteration works, fails, or worse – introduces new problems.

We are pleased to announce a significant advancement in system monitoring: the launch of Netdata’s first-ever native Windows agent. This release represents a major step forward in our mission to provide comprehensive and efficient monitoring solutions across all platforms. With the introduction of the native Windows agent, we are extending our robust monitoring capabilities to Windows environments, enabling seamless and unified monitoring across diverse infrastructures.

LLMs like GPT-4, Claude, and Llama are behind popular tools like intelligent assistants, customer service chatbots, natural language query interfaces, and many more. These solutions are incredibly useful, but they are often constrained by the information they were trained on. This often means that LLM applications are limited to providing generic responses that lack proprietary or context-specific knowledge, reducing their usefulness in specialized settings.

As federal, state, and local government agencies work to modernize their digital infrastructure and applications, managing costs effectively remains a constant challenge. Federal directives like Cloud Smart indicate the need for public sector IT organizations to track and optimize their cloud spends. However, as an organization’s IT environment grows in complexity, it becomes difficult to correlate cost data and extract useful insights.

Transactional monitoring is vital for businesses to protect digital assets. Now, you may be asking, what is web transaction monitoring?