Operations | Monitoring | ITSM | DevOps | Cloud

Since the launch of ITIL 4, incorporating DevOps into service management strategy has been a hot topic. On the surface, both DevOps and ITIL are frameworks that can help facilitate successful operations surrounding IT services. But that doesn’t mean that IT pros need to choose one or the other. Like most great marriages, it’s how these two methodologies complement each other that makes them an ideal pair when it comes to ITSM.

Robert Greiseimer has called Go the language of cloud computing and while it’s no secret that Go has strong features that support the needs of microservice architecture, distributed systems, and large-scale enterprise applications, what is less talked about is that Go was also built with web development in mind from the start. In fact, many developers in the community are using Go for full-stack development and championing new modules and frameworks that make Go a strong language for the web.

The DevOps India Summit brings together some of the best thought leaders in the DevOps space to discuss and debate everything DevOps related. This year, the event was a virtual one, held in a virtual venue with a virtual lobby, exhibit hall, booths, and a virtual auditorium for speakers presenting online.

Health and performance issues are easier to understand—and to troubleshoot—when you can use tags to aggregate your data across many overlapping scopes. But while some scopes come directly from your infrastructure, others are constantly evolving to reflect the needs of your product or organization. You can only track your data effectively if you can define—and redefine—your scopes on the fly.

The v1.25.0 release of the Netdata Agent delivers on our commitment to make our metrics collection, visualization, and troubleshooting platform more stable and usable. We enhanced our recently-added Prometheus collector with user-configurable filtering and grouping, made dramatic improvements to the reliability of the Agent-Cloud link that streams metrics on-demand to your browser when you use Netdata Cloud, and more. Let’s jump in and look at each improvement.

When an incident strikes, and every minute spent on root cause analysis delays the time to resolution, the real-world consequences can be dire. Troubleshooting an event requires a certain data set: every metric, at the greatest granularity, in one place, available in real time. Limits on the number or type of metrics, collection frequency, or time to visualization can mean the difference between timely resolution and unacceptable losses in time, money, and productivity.

Today, we are excited to launch our first Netdata Cloud Insights feature, Metric Correlations, developed for discovering underlying issues more quickly and identifying the root cause more efficiently. Read on to learn more about our approach to developing this new feature, how it works, and the many benefits you’ll find incorporating this into your team’s troubleshooting workflow.

With the accelerated pace of digital transformation, DevOps, adoption of new platforms, and also managing cloud resources are becoming increasingly challenging for central IT. Applying available best practices, compliance requirements and cost management are adding to the challenge. With the Serverless technologies, customers can apply such policies to cloud resources and run them over a long time.

APM tools have been formerly and primarily siloed in the application development arena, with only the most important and mission-critical applications having their APM instrumentation extended into production use due to complexity and cost. In the modern world of application monitoring, the requirements for Dev and Ops need to be tightly integrated.