Operations | Monitoring | ITSM | DevOps | Cloud

New year, new Grafana release! Grafana 11.5 is here with new features to enhance how you can share, migrate, and alert on all your data in Grafana. Grafana 11.5: Download now Below are just some of the highlights from the latest Grafana release. If you are looking for more details about all the changes in this release, refer to the changelog or the What’s New documentation.

Logs are a developer’s first line of defense when monitoring and troubleshooting distributed applications. They provide insights into performance, user behavior, and application stability, whether your application is written in Java or another language. However, when your applications scale up, and you have fragmented log data scattered across different systems, this will complicate your troubleshooting effort. This is what makes a centralized logging tool like SolarWinds Loggly essential.

The relational database industry has changed a lot in 25 years. Find out how these changes have impacted the role of a DBA, and the industry as a whole, with Redgate Advocate Kellyn Gorman. Over the past 25 years, the relational database industry has experienced a dramatic transformation. With Oracle, SQL Server, MySQL, and PostgreSQL as foundational technologies, these databases have evolved in response to the emergence of big data, NoSQL, cloud computing, and, most recently, AI.

In this article, we’ll walk you through Obkio’s powerful Network Performance Monitoring features by exploring the “Network Performance” tab in Obkio’s Network Performance Monitoring App. We’ll guide you through the video demonstration and take a closer look at the “Network Performance” tab, which provides a comprehensive overview of your network’s health.

Google Cloud Platform (GCP) is a suite of cloud computing services that runs on the same infrastructure Google uses internally for its products, such as Google Search and YouTube. With a global network of data centers, GCP offers over 200 fully managed services spanning compute, storage, databases, AI/ML, analytics, networking, and more, enabling businesses to innovate and scale without heavy upfront infrastructure costs.

AI is now a go-to tool for everything from writing to coding. Modern LLMs are so powerful that, with the right prompt and a few adjustments, they can handle tasks almost effortlessly. At Coroot, we’ve been experimenting with AI for observability. Our goal is to make it useful in the final stage of troubleshooting—when we’ve already identified which service is causing issues, like Postgres, but finding the exact root cause is still tricky due to the many possible scenarios.

In today’s fast-paced digital landscape, businesses are moving their operations to the cloud more than ever before. This shift brings incredible benefits like scalability, flexibility, and cost-efficiency. While it does introduce various common cloud monitoring challenges, there are effective solutions that organizations can implement to ensure optimal performance, security, and cost control.

Traditional programming is built around well-defined inputs and deterministic logic. Developers write functions that take structured inputs, apply a predefined set of operations, and return a structured output. This model works well when the input space is predictable, but it struggles with problems where inputs are ambiguous, unstructured, or constantly evolving.

Grafana is an open source platform for real-time data display and monitoring. One of its functions is the creation of interactive and customizable dashboards that make metric analysis from several sources, such as databases, monitoring systems and cloud platforms. Its flexibility and compatibility with multiple data providers make it an essential tool for observability and decision making in IT environments.