Operations | Monitoring | ITSM | DevOps | Cloud

Imagine a symphony where every musician plays their part flawlessly, but without a conductor to guide the orchestra, the result is just a discordant mess. Now apply that image to the modern IT landscape, where development and operations teams work with remarkable autonomy, each expertly playing their part. Agile methodologies and DevOps practices have empowered teams to build and manage their services independently, resulting in an environment that accelerates innovation and development.

When exploring data, comparing individual data points with overall statistics for a large data set is often useful. For example, you might be interested in understanding when a performance metric rises above the historical average. Or possibly knowing when the variance of that metric increases past a certain threshold. Or maybe noting a change in the distinct number of IP addresses connecting to your public web portal.

Developing a proficient ITOps practice capable of handling unforeseen disruptions and mitigating negative business impact hinges on mastering optimal incident management. Beyond adhering to best practices and procedures, a critical aspect is making strategic investments in cutting-edge incident management software and tools. These tools empower your team by automating real-time monitoring and analysis, bolstering the resilience and capabilities of your IT system.

Deploying an infrastructure in the cloud has become THE standard across the industry. According to O’Reilley Research, more than 90% of organizations are on the cloud or are using it in some capacity. As reported by Precedence Research, cloud deployment will surpass $1 trillion by the year 2028. But with the adoption of a new platform comes the need for tools and best practices to keep it up and running efficiently, which includes cloud-based monitoring.

In the rapidly evolving world of Large Language Models (LLMs), ensuring peak performance and reliability is more critical than ever. This is where the concept of 'LLM Observability' comes into play. It's not just about monitoring outputs; it's about gaining deep insights into the internal workings of these complex systems.

The future of Compliance Management will bring transformed practices and shifts towards new areas of focus. Looking ahead and incorporating them into your strategy will help you guarantee your organization meets its regulatory requirements and avoids harmful consequences. We already explored the upcoming ITAM trends , and now it’s time to zoom in a little further into regulation frameworks and security practices with these the top ten 2024 compliance trends.

If you want to bring down your monitoring costs, you need to shake up a decision paralysis in engineering.

2023 was the year of Artificial Intelligence (AI). 2024 will build on the incredible momentum of the likes of ChatGPT, Google Bard, Microsoft CoPilot, and others, delivering applications and services that apply AI to every industry imaginable. A recent analysis piece from Schroders makes the point well: “The mass adoption of generative Artificial Intelligence (AI) …has sparked interest akin to the Californian Gold Rush.”

Internal Developer Portals and platforms do a lot—they're an all-in-one system of record, lever for defining and driving best practice, and vehicle for creating new software components. It's not hard to understand why undertaking such a project can be labor and resource intensive. But it doesn't necessarily have to be.

In part 1, we looked at how the design plan of traditional monitoring technologies depended heavily on properties of the systems that were intended to monitor and then showed how those properties began to be undermined by an increase in complexity, an increase which can ultimately be captured by the concept of entropy. In this part, we will explore how increased entropy forces us to rethink what is required for monitoring.