In 2023, Galileo Suite introduced SMARTboards, our innovative customizable dashboards. Our initial launch was met with enthusiasm, especially after our live demo showcased their versatility and functionality. Today, we are excited to announce several Galileo SMARTboards feature updates that enhance their usability and value.

For Phoenix developers, maintaining the health of your applications is critical. AppSignal offers a powerful solution to gain deep insights into your application's performance and stability. In this introductory guide, we'll walk through the process of setting up AppSignal in your Phoenix app, instrumenting your code for detailed monitoring, handling errors effectively, and utilizing AppSignal's features to maintain and improve your application's performance.

Approximatly 94% of organizations worldwide have adopted cloud computing, with 50% relying on Amazon Web Services (AWS) for their needs. This is mainly due to AWS’s global accessibility, scalability, and reliability. Among AWS services, Amazon S3 stands out as one of the most widely used. Modern businesses demand robust storage solutions, and S3 delivers with 99.99% durability. However, the service does have some limitations, leading some users to explore Amazon S3 alternatives.

What are the alternatives to Prometheus? A guide to comparing different Prometheus Alternatives.

As organizations increasingly rely on complex and ephemeral infrastructure to drive business outcomes, the need for faster, more accurate, and automated IT operations has never been greater. Enter AIOps (Artificial Intelligence for IT Operations), a transformative approach that leverages AI and machine learning to automate and enhance IT operations management. These new learning systems can analyze massive amounts of network and machine data to find patterns not always identified by human operators.

Apple has once again redefined the possibilities of mobile technology with the release of iOS 18. With our commitment to stay at the forefront of innovation, we've seamlessly integrated iOS 18's powerful features into Site24x7's mobile app to deliver an unparalleled experience for DevOps and IT teams.

Remember the Tabs vs. Spaces arguments? It seems that observability has grown up enough that we are arguing over which signals are the “best” signals for observability. Often referred to as the Pillars of Observability, Metrics, Logs, and Traces (sometimes adding Events for MELT) each provide a unique perspective on a system. What happens when we change our perspective from finding the “best” telemetry format to finding the telemetry that aligns with the problems we need to solve?

In an increasingly digital world, organizations face complex challenges in managing their security data that’s growing at a relentless pace. With the rapid growth of cyber assets and the ever-present threat of sophisticated attacks, legacy security tools often struggle to keep up.

Canonical, the publisher of Ubuntu, today announced the general availability of Data Science Stack (DSS), an out-of-the-box solution for data science that enables ML environments on your AI workstation. It is fully open source, free to use and native to Ubuntu. It is also accessible on other Linux distributions, on Windows using Windows Subsystem Linux (WSL), and on macOS with Multipass.

At this point, it’s almost passé to write a blog post comparing events to the three pillars. Nobody really wants to give up their position. Regardless, I’m going to talk about how great events are and use some analogies to try to get that across. Maybe these will help folks learn to really appreciate them and to depreciate a certain understanding of the three pillars. Or maybe not.