Operations | Monitoring | ITSM | DevOps | Cloud

APM tracing records the complete execution path of a request as it travels through your system, including database queries, external API calls, cache lookups, message queue events, and inter-service requests. Each step is captured with precise start and end timestamps, duration, and context such as service name, operation name, and relevant attributes. This lets you pinpoint where latency or errors originate without piecing together metrics and logs manually.

There are a lot of ways to gauge the performance of your DevOps teams and the health of your software, but DORA metrics have emerged as the industry standard. If you aren’t familiar with DORA metrics, take a few minutes to read this comprehensive guide to understanding DORA metrics. DORA metrics were designed to offer a high-level, long-term view of how your teams are performing.

MongoDB’s strength of flexible schema and fast iteration can also hide costly queries until they surface as user-facing latency, replica lag, or spiky CPU. A handful of slow operations can impact the cache, starve other workloads, and cascade into timeouts across services. Monitoring slow queries gives you an early warning system for index gaps and query-plan regressions introduced by code deploys, schema changes, or shifting data shapes.

Running a data center efficiently is no small feat. From managing energy costs to preventing downtime, there's a lot that can go wrong—and a lot that can be optimized. Discover 10 actionable ways to enhance your data center operations, with practical tips on how Hyperview DCIM software can help you achieve these improvements more easily and effectively.

The cloud, as we know it today, was created as recently as 2006. For most of its lifespan since then, companies have been throwing money at cloud services with abandon. The competitive edge gained by having the newest, best, and most powerful tools at their disposal made it worthwhile for companies to spend ever-increasing amounts without too much worry.

While writing our 2024 recap, we found that teams handled over 2.2 million new incidents. Critical incidents alone tripled, increasing from 3,000 in 2023 to 9,200 in 2024. Dealing with such a large volume of incidents is not an easy task. And dealing with them manually is definitely not easy. Your valuable time goes into routine tasks like creating tickets, setting up war rooms, and notifying stakeholders. These keep you from fixing the actual problem.

Large enterprises today grapple with increasingly complex IT environments - spanning multiple cloud services, hybrid infrastructures and countless applications. Exacerbated by technology silos, the sheer volumes of data generated in such environments can quickly overwhelm IT teams, impairing their ability to identify and respond to customer impacting issues before outages strike.