In today’s dynamic IT landscape, effective monitoring of application servers (app servers) is crucial to ensure optimal performance, security, and user satisfaction. Monitoring tools help in identifying potential issues before they become critical, allowing for proactive management and maintenance.

It’s 2 am on a Saturday, you’re sound asleep, and suddenly your phone lights up, ringing and buzzing loudly on your nightstand. You know it won’t be good news, but it’s worse than you could have imagined—your network and systems have suffered a ransomware attack. As you quickly change and start driving into the office, you keep asking yourself one question—didn’t we pass our annual security audit three months ago with flying colors?

When service outages happen, the clock starts ticking, not only to restore that service, but also to identify and fix the root cause so the problem doesn’t recur again and again. However, root cause analysis (RCA) can be exceptionally time-consuming for IT teams tasked with combing through massive log files for clues about the underlying problem.

DevOps practices have become essential for streamlining the journey from code to production. Development and operations teams work together to ship better software faster. But even with DevOps, getting source code from commit to production can face long lead times and scalability issues. That's where deployment pipelines come in, automating the journey and speeding processes up. In this article, we’ll walk you through automating your deployment pipeline.

We are excited to add one more integration from the Industrial Internet of Things realm to our catalog! The seamless integration between ilert and Ubidots aims to streamline your operations, reduce machines' downtime, and improve overall efficiency.

Artificial Intelligence (AI) is rapidly becoming an essential component of the telecommunications industry, driving significant changes in how networks are managed, optimized, and maintained. With the growing complexity of telecom networks, coupled with the rising demand for seamless connectivity, AI offers a range of solutions to address these challenges. From predictive maintenance and network optimization to enhancing customer service, AI is poised to transform telecom operations.

Since the launch of ChatGPT in November 2022, the world has seen a huge shift in our personal, business, and creative lives. Although we often use AI daily, its addition to our lives has not been without problems. It has caused writer strikes and worries about how AI handles our data and what it means for privacy, and many people are worried about AI taking over their jobs.

Rather than striving for immediate perfection, which can be unrealistic in complex IT environments, the KEDB, or Known Error Database, provides a practical approach. Teams use KEDBs to document known errors and their workarounds so they can address issues efficiently and keep systems running while more permanent solutions are developed. It's an approach that not only keeps operations on track but also supports ongoing improvements and knowledge sharing within the organization.

In the fast-paced world of IT, ensuring the stability and reliability of your services is crucial. One of the most effective ways to achieve this is through Problem Management best practices. These practices focus on identifying and addressing the root causes of recurring issues, thereby reducing the number of incidents and enhancing the overall quality of your IT services.

In complex IT environments, monitoring and observability tools are indispensable. They help organizations ensure optimal performance of applications and infrastructure, providing insights and alerts to address potential issues before they impact users. Two of the leading tools in this space are Datadog and Dynatrace. This article offers a comprehensive comparison of these platforms to help you decide which is best for your needs in 2024.