The link between DevOps and artificial intelligence for operations (AIOps) has only started to become clear within the last few years. Monitoring and alerting has evolved from a "black box approach," where you don't actually know what's happening, into observability, where you have access to data that provides everything you possibly need to know about your IT systems. How does AIOps come into play? AIOps is the practice of applying artificial intelligence, machine learning, and advanced analytics to automate and improve IT operations. Since it entered as a formal discipline with Gartner in 2016, IT teams have been trying to figure out how to employ it to make their lives easier.

Have you ever written a Hello, World! application? In most of these tutorials the first step is to log words to the console. It's an easy way to understand what is going on with your application and readily available in every programming language. The console output is incredibly powerful, and it has become easier than ever to capture that output as logs. As your application grows and evolves you need to implement a structured application log approach.

React Native has come a long way since an internal prototype at Facebook to where it is now. The cross-platform framework is now a go-to tool for businesses to develop natively rendered mobile apps for iOS and Android. Thanks to its reduced development time with hot reloading to its focus on runtime performance with natively rendered views, React Native has gained traction with large-scale companies like Shopify and Tesla. Web developers have made the leap from the browser to mobile bringing with them all of their tools and expertise, and it is consistently the most popular cross-platform framework.

Do you often ask yourself the question - Is there an Office 365 problem today? While you try to find the answer, your customers (end-users) complain because they can't access their business applications. Apart from all this, your boss needs an immediate status update. Trust me. It doesn't feel great to be in that situation. And we know it. Despite Microsoft claiming to provide 99.9% SLA, issues will occur with the Office 365 applications such as Teams, Outlook, OneDrive, Exchange Online, SharePoint, Yammer, etc. Often, the issues aren't even Microsoft's problems but an ISPs or internal network change. There can be lot of reasons (Network, OS, browser, personal device, upgrade errors, Internet, and much more), but which one is it?

It has been argued that automation in the workplace tends to be misunderstood. Analysts are keen to point out that, despite myths to the contrary, automation isn't going to put most people out of work, for instance. Nor is AI going to become a real substitute for actual human intelligence. These are compelling arguments for rethinking the way we think about automation in general. But you can take the points further if you analyze the impact of automation on specific domains, such as cybersecurity. Indeed, automation is perhaps nowhere more misunderstood than in the realm of cybersecurity. To prove the point, here are five common myths about automation's impact on security, and why they're wrong.

Customer service management can make or break the growth of your organization. If you're failing to deliver incredible customer experiences that prioritize clear communication, your organization is vulnerable to low customer retention rates. According to Gartner, more than two-thirds of businesses are now competing primarily on the basis of customer experience. This is up from only 36% in 2010. Customer experience is critical to your organization's future success. If you're delivering exceptional customer experiences that result in high levels of customer satisfaction, this will naturally drive up your customer retention rate. You can only deliver incredible experiences with the right customer service management tools in place.