Operations | Monitoring | ITSM | DevOps | Cloud

Lots of people believe that asset maintenance and asset repairing are the same but it's not. Asset maintenance prevents the requirement of asset repairing. Repairing is something that is broken and now needs to be brought back into running condition. Asset maintenance is an umbrella that records all that goes into keeping your resources everything looking good. By manufacturing hardware, resource support can mean normal examinations and fixes.

So, you want to become a DevOps engineer? It’s a stimulating, challenging, high-paying career choice, but the lynchpin role holds software development and operations together. We’ve compiled a DevOps roadmap that includes all the steps required to fill the shoes of a DevOps expert. As you know, DevOps is a set of practices and tools to integrate and automate processes between IT and software development teams.

Lots of organizations do not invest in any type of asset management software as a result frequently business problems occur such as operations are not streamlined, required assets are not found or sudden equipment failure occurs, and so on. These types of problems only lead to delayed operations, unnecessary expenses, and business loss. When an organization utilizes any asset management software then the expected results are also not achieved.

“Too many cooks spoil the broth.” It’s an old saying we’ve heard many times in childhood. If we put it in today’s IT monitoring context, we could change it to “too many tools spoil the insights and efficiency.” IT teams across organizations have deployed multiple tools over the decades to monitor and track the performance of networks, databases, and applications and to ensure the smooth running of the business.

The continuous debate around artificial intelligence (AI) has led to a lot of confusion. There are many terms around it that appear to be similar, but when you take a closer look at them, that perception is not entirely accurate. For that reason, here we take our best shot and oppose AI vs. machine learning vs. deep learning vs. neural networks to set them apart once and for all. In short, we’ll look at how they all relate to each other, and what makes them different in their particular way.

Service Level Agreements (SLAs) are a crucial part of Service Level Management, and therefore one of the key components of IT service management. They are the basis for building and delivering IT services, and play a key role in ensuring that both the client and the service provider are on the same page and that the service delivery is at par with or exceeds customer expectations.

As the world continues on an accelerated course towards digital transformation, organizations have been placing an increased emphasis on the concept of experience. This is especially true within the world of IT service management, where being able to provide positive service experiences to customers and stakeholders is absolutely paramount.

Naming conventions for assets have a rich, engaging, and often hilarious history. While recently organizations have switched to standardized and more informative naming conventions based on location and function, earlier (and even now) IT departments have had a lot of fun naming assets for their data centers and servers. IT departments have often showcased their inner geek by using names of Star Wars or Star Trek characters for their assets.