On Tuesday June 8th, the Content Delivery Network Fastly experienced an outage that made large swaths of the web unavailable for nearly an hour. To focus on the positive, this outage can serve as a wakeup call for Observability teams, because it shows how much modern sites depend on resources beyond their immediate control, and how hard it is to "observe" these kinds of issues with an incomplete Observability mindset.
“Mean time to X” is a common term used to describe how long, on average, a particular milestone takes to achieve in incident response. There’s mean time to detect, acknowledge, mitigate, etc. And then there’s the elusive “mean time to recover,” also known as “MTTR.” MTTR, a hotly debated acronym and concept, measures how long it takes to resolve an incident on average. The problem with MTTR, though, is that it doesn’t matter.
The U.S. government is instituting stricter requirements on federal agencies and federal contractors to address cybersecurity threats. Adopting the right set of tools and practices will help organizations secure their software development supply chains and be prepared to meet these standards. However, the initial requirements also provide a valuable framework for any organization trying to reduce its security risk—not just government institutions and those doing business with them.
For years, reports analyzing the evolution of the DevOps movement have been eagerly awaited by members of this growing global community. This research has helped establish benchmarks for DevOps adoption, identify best practices, and analyze DevOps outcomes—in other words, the results achieved by DevOps leaders vs. DevOps laggards. It’s interesting to see how the conversation around DevOps research has changed over the years.
While many statistics are floating around the web, let's consider slow page speeds from a more personal viewpoint. How many times have you waited for a web page to load, then felt frustration, anger, or even desperation as it crawled? In addition, the experience may have even given you a negative impression of the website, possibly to the extent you never want to load it again. With over 1.8 billion websites in existence, slow websites are very likely to lose precious visitor traffic.
Data Science and business are co-related in much more ways in this modern world. As data is the key to drive businesses, Data Science solutions are the bridge that helps achieve the organizational goal to improve business value. Many companies extending from large scale to small scale use the wide possibilities of data science to make their business successful.
Monitoring is crucial if you want to see what happens in your system and JVM-based applications are not different. Well, some metrics, like memory and garbage collection, require special attention because they play a major role in your application performance. In this blog post, we will look into the key Java Virtual Machine (JVM) metrics that you should monitor if you care about performance and stability. Those are the memory, the garbage collection, and the JVM threads.
