Operations | Monitoring | ITSM | DevOps | Cloud

Does it not strike you as strange that even after the world has coped with the COVID crisis, work from home did not end? We shall not examine the reasons behind the continuation of work-from-home culture. However, it is important to be cognizant of the fact that work-from-home is here to stay, and organizations need to adapt to it quickly. One of the major concerns for organizations today is onboarding new work-from-home employees.

AI is no longer optional for most businesses — and it’s far from a differentiating factor. In fact, researchers found that over 95% of companies have AI initiatives underway. To get ahead of the competition, leaders need to: Adaptive artificial intelligence (AI) is the next generation of AI systems. It has the ability to adjust its code for real-world changes, even when the coders didn’t know or anticipate these changes when they wrote the code.

Upon its release in November 2022, ChatGPT stunned Silicon Valley and the world. OpenAI, a small company based in San Francisco, introduced a chatbot that mimics complex emotions, writes code and answers complex questions. Technology considered a decade away was now at everyone’s fingertips and quickly became the fastest-growing app in history. Just four months later, OpenAI launched a significant update, ChatGPT-4, and the results of this new technology are fascinating.

Want to build websites and apps in a way that’s both easier and cheaper? Well, it’s possible even for major organizations and international companies. In this article, let’s take a look at how serverless architecture and computing is changing the game for software developers. We’ll start at the very beginning and walk through how serverless works, how we got this far, and the pros & cons of this approach.

Understanding how NGINX performs can be overwhelming. There are many data points to follow, and it can be tricky to know which ones are relevant to you and which ones you can ignore. In this article, we'll explain how you can use AppSignal to monitor NGINX, expanding your visibility over your application's performance.

Recruiting talent to your organization is one thing, keeping said talent is a different beast. Everywhere Work has given the workforce an increased sense of power in choosing where and how they work. As a result, retaining employees has become a challenge for organizations. Research has shown that 31% of employees quit a job within the first six months and France experienced record-high turnover in 2021, with a rate of 24.20%.

Just about everything you interact with digitally is enabled by the cloud. Whether you’re doom-scrolling on Instagram, binge-watching on Netflix, ride-hailing on Uber, or downloading super-cool cloud podcasts (hint, hint) on Spotify, you’re using the cloud. But most people don’t have any idea what the cloud is, where it came from, or what we, as a species, spend on it.

For Amazon to survive, they needed the cloud. But they had to invent it — and creating the cloud meant overcoming obstacles fundamental to the nature of software development at the time.

An easy way to understand what the early cloud did is to think of it like a public utility. The same way buildings depend on a common set of utilities — gas, electricity, and water — software projects depend on a common set of services: compute, storage, and database. “Compute” refers to the power it takes to run the software.

Your Apache HTTP server access and error logs contain a wealth of actionable insights about potential server configuration and web application issues. The problem is that this information is hidden within millions of log messages, so you need analytics to efficiently extract these insights so you can respond to problems before they impact your users. Apache log analysis revolves around two activities: monitoring and troubleshooting.