Operations | Monitoring | ITSM | DevOps | Cloud

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.

As you scale microservices adoption in your organization, the chances are high that you are managing multiple clusters, different environments, teams, providers, and different applications, each with its own set of requirements. As complexity increases, the question is: How do you scale policies without scaling complexity and the risk of your applications getting exposed?

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.

Chatbots and Virtual Assistants (VAs) are becoming increasingly popular as businesses accommodate the diverse needs of the digital industry. These tools give companies, no matter how small, the ability to answer their audiences, provide assistance, and solve problems, driving traffic during off-hours and with minimal staff. As a result, chatbots are one of the most effective features you can add to your website. And yet, chatbots present a risk.

Students around the world are using FlashDrive to build research or studies projects and we love to see more and more each day using FlashDrive free tier to build education-related projects. We know that sometimes the Free tier is not enough to build big data project or simply projects that require a lot of dependencies or several micro-services working together.

ServiceNow’s 6,900 customers have pretty big expectations of what ServiceNow needs to deliver to help them achieve their business goals—from more engaging employee experiences to boosted customer loyalty and increased agility, productivity, and efficiency. We aim to meet those expectations by practicing what we preach.