Operations | Monitoring | ITSM | DevOps | Cloud

In the fast-paced world of IT, where technologies evolve at lightning speed and the demands on systems and infrastructure are growing exponentially, the temptation to maintain the status quo can be all too enticing. After all, change can be daunting, and the familiar feels safe. What many IT professionals fail to realize, however, is that doing nothing is still a choice – and often, it’s a costly one.

What does the platform engineering roadmap look like as we head into its continued maturity? We recently conducted a survey to better understand the role and state of platform engineering — emphasizing those organizations who are using this tactic to greater success. Using this data, we will peek into the future and see where platform engineering is headed next.

It is the time of the year when we revisit our carefully written 2024 New Year resolutions list and frown at how we could not stick to it religiously. Letting the everyday demands of life and work get in its way. It isn’t amusing to realize we are not committed to our boldly written, heartfelt intentions. However, if you are a networking professional, we have the good news. You can ace your job as well as carve out the ‘me’ time to pursue your 2024 resolutions.

Artificial Intelligence (AI) is increasingly becoming integral in the tech landscape, transforming virtual assistants and self-remediating software to enhance user experiences and propel IT automation in the workplace. Most of the tech workforce embraces AI, recognizing the potential advancements and business improvements it brings. In the workplace, smart technology aims to support and elevate the employee experience, not to replace human workers.

Automation has become more than just a “nice to have” choice. It’s an essential part of the modern business landscape, promising increased efficiency, reduced costs, and improved accuracy. However, despite its potential benefits, many organizations struggle when trying to implement automation. In this article, we’ll explore some of the most common implementation mistakes we’ve encountered and how to navigate them effectively.

Automation uses software to control network resources dynamically with minimal human intervention. It can speed up services delivery and keep the network running at peak efficiency, boosting revenues and reducing costs. With this potential, one might think that automation of telecom networks would be widespread, but that is not the case. Automation in telecom lags compared to industries like transportation, shipping, and cloud computing services.