Operations | Monitoring | ITSM | DevOps | Cloud

Multi-cloud architectures have long been hyped for their performance, reliability, and cost savings—and adoption is soaring. According to a 2020 survey from IDG, 55% of organizations use two or more public clouds. Yet 79% of these adopters struggle to achieve synergy across multiple platforms. These concerns are echoed in the public sector.

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?

Everyone loves tools. Whether you’re a weekend craftsman, an aspiring chef, or a serious IT professional, the tools you use can make your tasks much easier. Monitoring tools in IT are mainstays when it comes to keeping an eye on network infrastructure and enforcing company security policies. But just like anything in life, not all monitoring tools are built equally—in fact, many can harm your ability to respond to emerging issues within your network.

Reining in costs and ensuring your IT organization maximizes its technical ROI is a delicate balancing act of office politics and well-rooted processes. IT cost challenges tend to vary from business to business, but they have one thing in common: they’re all manageable. Taking the time to study the most common IT revenue black holes starts with developing an in-depth understanding of how each one can affect IT productivity and the business’s bottom line.

Single-page applications (SPAs) provide some significant benefits over multiple-page apps. For JavaScript developers using frameworks like React or Vue, they offer flexibility in moving application logic to the frontend, reducing the need for complex backend operations. For users, SPAs can provide a smooth experience with a highly interactive UI and fewer page loads. But, with increased sophistication, there are some tradeoffs.

In order to manage complex containerized applications, modern devops teams need to have deep visibility into the status of their Kubernetes resources. By listening directly to the Kubernetes API, the open source kube-state-metrics service generates key metrics about your Kubernetes objects, including pods, nodes, and deployments, which are essential for understanding the status and performance of your clusters.