Autonomic IT is the pinnacle of IT evolution. Inspired by the human autonomic nervous system, it refers to self-managing IT systems that autonomously monitor, optimize, and resolve issues. By integrating data, advanced AI and machine learning (ML), and automation, Autonomic IT enterprises can predict, prevent, and resolve IT issues more proactively, enhancing efficiency and reliability. However, Autonomic IT is more than just a framework for machines to fix themselves.

Picture this: A chic Barcelona seaside hotel, gusty autumn winds, endless tapas, and the Rioja flowing. Could there be a better setting for a FinOps conversation? That was the setting for FinOpsX Europe! It brought together 500 practitioners from EMEA, APAC, and even LATAM. Everyone was in the mood to learn and interact: exchange ideas, share challenges, and find solutions. Here’s a peek at the hottest discussion topics.

Microservices architectures empower individual teams to choose their own programming language, tools, and technologies, resulting in more independence and the ability to develop and release features faster. While there are various types of integration patterns that can facilitate microservice communication, many organizations choose to adopt event-driven architectures (EDAs) because of their scalability, agility, and resilience.

Today, every enterprise is digital. Regardless of industry, every business must incorporate digital technologies and strategies into its operations to remain competitive. Maintaining reliable IT infrastructures and digital services while minimizing downtime due to unplanned outages is critical to business success.

In this blog series, we will explore the importance of merging DevOps best practices with MLOps to bridge this gap, enhance an enterprise’s competitive edge, and improve decision-making through data-driven insights. Part one discussed the challenges of separate DevOps and MLOps pipelines and outlined a case for integration.

You may have wrestled with a web application attempting to call an offsite web service, such as an OpenTelemetry Collector, and gotten an odd error with the word CORS in it. Something like: Or, maybe you got a generic thrown error from your fetch statement that states Error: Failed to fetch …and you wondered, “What’s the problem, and how can I fix it?” These kinds of errors are called CORS errors, and they can be a bit confusing.

Now you can start monitoring thousands of metrics in real-time, detecting anomalies throughout your infra, and troubleshooting issues even mid-crisis! Watch this 1-minute video for a quick intro! Get ready to be blown away!

In today’s digital world, IT is not a ‘nice-to-have’ but the backbone of every company. Streamlined IT operations are therefore essential for success and even survival. However, technical faults and failures are unavoidable. This is where IT alerting comes into play – a crucial component of IT service management that helps to identify and resolve problems quickly.

As software ecosystems grow in complexity, it’s more important than ever to stay ahead of potential patch-related risks. A single untested patch can lead to compatibility issues, operational disruptions, and even security vulnerabilities. To address these risks, NinjaOne has launched Patch Intelligence AI as part of its automated patch management platform. It’s designed to revolutionize patch management and empower IT teams to act proactively and confidently.