Operations | Monitoring | ITSM | DevOps | Cloud

Workload management is ubiquitous when it comes to automating critical business processes. With time, workload management as a technology is going through a gradual evolution, from ‘just automation’ to an orchestrator of intelligent automation. This necessitates a layer of observability and intelligence to facilitate the move from workload automation to workload management.

A lot has changed for the National Institute of Standards and Technology NIST Framework since 2013, when former President Barack Obama signed Executive Order 13636 that directed the Executive Branch to: Since the creation of the NIST framework, we’ve seen an evolution in sophisticated cyberattacks on the rise with new challenges like AI.

Ever need to do some math during policy evaluation? Sometimes configuration settings are based on available resources. For example, what if you want to calculate the size of shared buffers to be 25% of your available memory? Let’s write some policy. First, we need to figure out how much memory we have. Let’s parse this out from /proc/meminfo: So, we have 65505464 kB of memory in total. Knowing that we can use eval() to calculate what 25% is. eval() can also be used to test truthfulness.

In this article, you will learn about efficient practices in overcoming IT automation challenges. Organizations of all sizes can struggle with implementing and maintaining effective automation processes. While automation promises to streamline operations and boost efficiency, it often introduces unexpected hurdles that can derail even your most well-planned initiatives.

Within the configuration management space, people often distinguish between agent-based and agent-less approaches. In short, an agent-based solution means that you install a software agent to run in the background / periodically on the system. That software agent then makes changes to the system as desired, and also commonly communicates over the network to send and receive updates, policy, commands, scripts, data, etc.

In software development, even common IT operations tasks require specialized skills. Collaboration between specialized teams is the driving force of DevOps, more than any tooling or workflow. But self-service automation becomes valuable when common, routine tasks and processes start to restrict developers and burden operations teams.

The telecom landscape is undergoing a transformation unlike anything we’ve seen before, and at the heart of this epic shift is the Radio Access Network (RAN). What used to be a quiet, behind-the-scenes player in mobile communications has now become the backbone of modern connectivity—powering everything from the phone in your pocket to entire smart cities.

Network automation has become a game-changer for businesses that rely on complex networks. By automating repetitive tasks, companies can improve their network efficiency, reduce human errors, and ultimately save time and costs. That's why network automation tools are becoming essential for companies that want to maintain their competitiveness.