The wide-spread adoption of cloud infrastructure has proven to be highly beneficial, but has also introduced new challenges and added costs – especially when it comes to security. As organizations migrate to the cloud, they relinquish access to their servers and all information that flows between them and the outside world. This data is fundamental to both security and observability.
AWS announced AWS Lambda Extensions back in October 2020 and I wrote extensively about it at the time – what it is, how it works, and why you should care. In short, Lambda Extensions allow operational tools to integrate with your Lambda functions and run either in-process alongside your code or in a separate process. To better understand the problems they solve and their use cases, please read my previous article.
To transform their application delivery, many teams are employing model-based testing (MBT). Through this increasingly popular approach, teams are realizing a number of significant benefits, including improving test coverage, reducing testing effort, and improving quality. In this blog, I’ll examine the use of MBT, but with a particular focus on some of the objectives we often hear DevOps teams say they’re focused on.
Java profiling in Eclipse allows you to optimize your code, streamline your application, and better understand your program. When profiling your application using a line-level analysis, you can reveal the slowest line within a sluggish piece of code, helping you efficiently troubleshoot problems. There are a variety of platforms for profiling Java eclipse. Eclipse is a popular software and is especially valuable for beginners due to its clean interface and free and open-source background.
I’m excited to announce that ServiceNow has signed an agreement to acquire next-generation observability leader Lightstep. Combining Lightstep’s innovative observability capabilities with ServiceNow’s unmatched Now Platform will help customers better manage software complexity, reliability, and performance while enabling the enterprise workflows that deliver great experiences.
We created our Logz.io Cloud SIEM with a clear goal: providing a rapidly deploying, flexible, and cost-effect security management tool that can serve broad datasets and withstand the occasional bursts of events without a sweat. However, our users were coming back to us with requests for more. After all, it’s great to proactively detect proliferating security threats, but what’s the next step beyond just identifying the threat?