Operations | Monitoring | ITSM | DevOps | Cloud

Pandora FMS has changed a lot since its inception, and you, dear reader, may have noticed it. Through effort and hard work it has grown older and become someone strong and capable. As you know, a tool, hard as well as flexible, that recognizes, connects and interprets different types of technologies to present them in a single environment. A system monitoring software that has gained lots of popularity in the market and has just launched its new interface.

A data-driven approach to cybersecurity provides the situational awareness to see what’s happening with our infrastructure, but this approach also requires people to interact with the data. That’s how we bring meaning to the data and make those decisions that, as yet, computers can’t make for us. In this post, Phil Gervasi unpacks what it means to have a data-driven approach to cybersecurity.

Staring down the runway of 2023 and toward 2024, I’m wondering what will become of the digital transformation initiatives that began pre-Covid and accelerated over the past two-plus years. We’re certainly not entering a “stop transforming” period. So, what will transformation look like going forward?

Hybrid computing is the reality of most federal agencies today.

Azure Data Factory is a cloud-based data integration tool focusing on data extraction, transformation, and loading. A pipeline in Azure Data Factory is a collection of processes that move data to a shared repository, such as a data warehouse. Why it is important to monitor Azure Data Factory pipeline failures?

In today’s fast-paced world of software development, DevOps professionals strive to provide high-quality and dependable services for their users. An essential aspect of achieving this objective is understanding and effectively managing service level indicators (SLIs), service level objectives (SLOs) and service level agreements (SLAs). These metrics help guarantee that a service meets its performance and reliability targets.

Observability originated in the field of engineering and has recently gained popularity in the world of software development. Put simply, observability refers to the ability to understand the internal state of a system based on its external outputs. IBM defines it as follows: As systems have become more complex, often including remote elements in cloud-based systems, management of the systems and troubleshooting faults and downtime have also become more complex.