Engineering has come a long way since the days of delivering discrete, point-in-time products that were often packaged on a CD and shipped to customers. The days of physical media and long development cycles are long gone. The advent of cloud computing and the rise of Software-as-a-Service (SaaS) transformed the landscape, creating a new model of continuous development and service delivery. This shift has not only revolutionized how software is developed, but has also redefined the engineer’s role.

Enterprise Java developers understand the frustration of sluggish application performance in production. Diagnosing issues within complex microservice architectures can be a time-consuming nightmare. Thankfully, the popular Java framework SpringBoot provides a robust observability stack to simplify real-time monitoring and analysis. By harnessing the power of libraries and tools such as SpringBoot Actuator, Micrometer with InfluxDB, and Grafana, you can gather meaningful insights easily and quickly.

In the weeks since the Crowdstrike outage brought millions of systems to a halt, countless articles have been written about the cause of the outage, its impact, and the costs companies incur during service disruptions. Nearly every large company had hosts offline due to the faulty update in CrowdStrike’s Falcon software. BigPanda customers were no exception. On July 19, between 04:00 and 07:00 UTC, the BigPanda systems logged an increase in shared incidents.

ITOps and AIOps teams often face an overwhelming volume of notifications, many of which are false positives or low-priority alerts. The constant influx creates a chaotic environment. ITOps and AIOps teams can easily miss critical issues, potentially leading to system failures or prolonged downtime. Spending significant time sifting through irrelevant alerts reduces team efficiency and slows response. Focus on alert noise reduction to ensure that only meaningful and actionable alerts reach your teams.

Ever wonder why some IT teams can quickly resolve incidents while others struggle? The secret lies in mastering the Incident Management lifecycle. But don’t worry—this isn’t some dull, complicated process only experts can understand. The Incident Management lifecycle is simply a structured approach to handling incidents efficiently. And the best part? You can quickly get the hang of it.

Managing incidents is crucial to maintaining the security and integrity of an organization's information systems. ISO 27001 Incident Management provides a structured approach to addressing and resolving incidents in a way that minimizes impact and prevents recurrence. This framework doesn't just help organizations respond to incidents—it helps them create a robust system that anticipates and mitigates risks before they escalate.

Grafana Tempo 2.6 is here with performance improvements and buckets of new TraceQL features! Watch the video above for an overview of the new TraceQL features, or continue reading to get a quick overview of the latest updates in Tempo. If you’re looking for something more in-depth, don’t hesitate to jump into the Grafana Tempo 2.6 release notes or the changelog.

Observability is undergoing a massive shift as enterprises drive adoption of modern technologies, including cloud and microservices, along with disruptive technologies, such as generative AI (GenAI). To keep pace with the complex requirements of the modern tech stack, operations teams need to consider and adopt next-generation observability. Splunk users are often challenged by using products that provide fragmented observability, hampering their ability to modernize their environments.