A set of computers and/or computer equipment connected to each other, and that can exchange data and information, all of those make up a network. The Internet is the network of networks.

Monitoring AWS Lambda performance plays a crucial part in your everyday AWS Lambda usage. Monitoring helps you identify any performance issues, and it can also send you alerts and notify you of anything you might need to know. The world is slowly getting to a point where machines and computers will be flawless, but until then, if we let them perform various tasks for us, we could at least monitor their performance.

For the 7th year in a row, IDC has ranked Splunk as #1 in ITOA*. We’re thrilled with this news, but let me start by saying that our success is due to the continued success of our customers, and we’re very grateful for the opportunity to be a part of it. Need a refresher on ITOA? We know we know, another day another acronym. ITOA is IT Operations Analytics. IDC derived this market from portions of their IT Operations management (ITOM) software market.

It’s surprisingly difficult to find information related to monitoring a distributed network. I think this is because, in part, network pros take the term for granted. We all intuitively know what a distributed network is, and the term is pretty common in conversation. But when you start to think about a precise definition, or even search for one online, things get fuzzy. What exactly makes a network distributed? Is a distributed network fundamentally different from a decentralized network?

In a recent survey of hybrid cloud decision makers, we uncovered a disconcerting trend. The vast majority of respondents reported that they are confident in their existing tools and capabilities for a whole host of activities necessary to manage cloud performance and spend … and yet they don’t have many of the tools that are actually needed to perform those tasks.

With Industry 4.0 fundamentally transforming manufacturing systems and processes through IIoT technologies, manufacturers large and small are seeking the most efficient ways to reap its benefits. Potential gains include optimizing operations, generating data-driven insight, creating new revenue streams, and accelerating innovation. To paint the big picture, let’s start with a definition of Industry 4.0, followed by an explanation of what adopting it involves.

Modern application architectures are complex, typically consisting of hundreds of distributed microservices implemented in different languages and by different teams. As a developer, SRE, or DevOps engineer, you are responsible for the reliability and performance of these complex systems. But while you might have metrics that will help you debug when there’s an issue, metrics alone can’t help you narrow down and ultimately identify the root cause.

If you want to understand the popularity of your GitHub repositories, knowing the number of stars isn’t enough. GitHub understands this, and that’s why the team released traffic insights. Anyone with push access to a repository can view these insights, which include: full clones, visitors from the past 14 days, referring sites, and popular content in the traffic graph.