Operations | Monitoring | ITSM | DevOps | Cloud

Approximately 65,000 new implementers will be needed by 2027 as a result of AI, according to research by ServiceNow and Pearson. The time is now to enter this dynamic and high-growth field. Let’s explore what an implementer is, how the role is changing, and how you can prepare to fill an open position.

Sentry started life in 2008 as an unlicensed, 71-line Django plugin. The next year we began publishing it under BSD-3, and ten years later we switched to the Business Source License (BSL or BUSL). Last year we purchased Codecov, and a few months ago we published it under BSL/BUSL as well. That led to some vigorous debate because of our use of the term “Open Source” to describe Codecov, from which emerged this helpful suggestion from Adam Jacob, co-founder of Chef.

In incident management, staying ahead of the curve is crucial, and that's what we're doing with our latest suite of features designed to streamline your workflow and enhance your response capabilities. Furthermore, you have provided numerous excellent suggestions during this period. We value your feedback and invite you to reach out to us at support@ilert.com to share your experiences with ilert.

In a traditional DevOps implementation, you automate the build, test, release, and deploy process by setting up a CI/CD workflow that runs whenever a change is committed to a code repository. This approach is also useful in MLOps: If you make changes to your machine learning logic in your code, it can trigger your workflow. But what about changes that happen outside of your code repository?

It’s not uncommon to find with remote monitoring and management solutions that the functionality they offer around Apple device management lies a very distant second to that offered for Windows devices. N-central has long been a leading RMM solution, and it too has had its deficiencies when it comes to Apple device management.

This week, NVIDIA unveiled what they are calling “the world’s most powerful GPU for supercharging AI and HPC workloads,” the H200 Tensor Core GPU. There is much hype around the H200 as it is the first GPU with HBM3e. The larger and faster memory will further enable generative AI, large language models, and advance scientific computing for HPC workloads. Read the NVIDIA press release.

ChatGPT captured our collective imagination when it burst into the mainstream last year, setting off a hype cycle that hasn’t abated. The enterprise is where generative AI (GenAI) will become more than tech’s newest shiny object. GenAI is transforming the way we work, unlocking new efficiencies, driving productivity, and creating employee and customer experiences we never could have imagined. ServiceNow is at the forefront of this transformation.