Operations | Monitoring | ITSM | DevOps | Cloud

As developers, we would like our users to interact with applications that run smoothly and without issues. We want the libraries that we create to be widely adopted and successful. All of that will not happen without the code that handles errors. Java exception handling is often a significant part of the application code. You might use conditionals to handle cases where you expect a certain state and want to avoid erroneous execution – for example, division by zero.

When people hear the term "Node.js Debugging," they immediately think of the function "console.log()." They also assumed that's how pros debug Node.js applications. Nah!!! That's not good enough, mate. You'll need more than the console.log() function to debug your Node.js application like a pro. If the proper technique is not taken before testing, debugging a Node.js application might be difficult. Testing is an essential part of the development process for any application, software, or website.

Good logging practices are crucial for monitoring and troubleshooting your Node.js servers. They help you track errors in the application, discover performance optimization opportunities, and carry out different kinds of analysis on the system (such as in the case of outages or security issues) to make critical product decisions. Even though logging is an essential aspect of building robust web applications, it’s often ignored or glossed over in discussions about development best practices.

As a business, whichever industry you are in, there is a fair chance that you depend upon online assets such as mobile applications or API’s for conducting operations. Assuming that one wants to ensure their availability, correct functioning and quick response at all times, it is important to use synthetic monitoring for better customer experience.

With the advent of cybercrime in recent years, tracking malicious online activities has become imperative for protecting operations in national security, public safety, law and government enforcement along with protecting private citizens. Consequently, the field of computer forensics is growing, now that legal entities and law enforcement has realized the value IT professionals can deliver.

This is the first post in a four-part series on why Open Source Puppet users have made the decision to move to Puppet Enterprise. If you’re considering making this change, read on for pros and cons! As more and more businesses are moving from Open Source Puppet (OSP) to Puppet Enterprise (PE), they are experiencing multiple benefits. In this blog series, we’re exploring the biggest benefits we hear from customers about their experience moving from OSP to PE.

This article was written by a guest author. Not long ago, if we wanted to put our code into production, we needed to manually configure a server, our infrastructure, that would host our app or database. This manual process is not only time-consuming, but also prone to errors. That is why at present, developers chose to create “scripts” that are in charge of configuring the infrastructure These “scripts” are known as Infrastructure as Code (IaC).

The ultimate success of any security monitoring platform depends largely on two fundamental requirements – its ability to accurately and efficiently surface threats and its level of integration with adjacent systems. In the world of SIEM, this is perhaps more relevant than any other element of contemporary IT security infrastructure.

Artificial intelligence (AI) drives innovations across all facets of our lives, from self-driving cars to email spam filtering to personalized shopping to smart homes and automated investing. There's no denying that these critical innovations wouldn’t have been possible without today’s businesses’ impressive data gathering capabilities. But perhaps more important is the ability to train AI tools using the data.

In this article, we will take a look at what Cisco Webex is, how it works, and why it is great for your business. Then we will explore how to monitor Cisco Webex metrics using beautiful and customizable Grafana dashboards. We’ll also look at what are the most popular data sources Grafana uses. Finally, we will figure out how MetricFire simplifies the task of monitoring metrics for us and what are its main advantages.