Operations | Monitoring | ITSM | DevOps | Cloud

The latest News and Information on APIs, Mobile, AI, Machine Learning, IoT, Open Source and more!

Continuous Training and Deployment for Machine Learning (ML) at the Edge

Running machine learning (ML) inference in Edge devices close to where the data is generated offers several important advantages over running inference remotely in the cloud. These include real-time processing, lower cost, the ability to work without connectivity and with increased privacy.

How to globally monitor your edge functions using Checkly

If you're leveraging an Edge geolocation feature and serve different behavior depending on the request origin, you want to guarantee your application doesn't break for some users over time. Learn how to use Checkly to monitor and test your Vercel Edge functions from different global locations and get alerted when your Edge handling broke. Resources.

What is a Neural Network (and How Does it Train Itself)?

You’ve probably heard about neural networks being hailed as the next big step in technological advancements in artificial intelligence (AI). Beyond its often exaggerated depiction in fiction and media, neural networks have slowly but steadily become an invaluable asset in the IT world. It is under constant research in data science and computer science.

More Powerful than Ever: PagerDuty's Revamped Mobile App is Primed for Even Better Incident Response

2020 revolutionized how we work. Many went from full-time office work to 100% remote overnight. And now that in-office is once again on the horizon, companies are thinking of ways to continue to work flexibly. However, this comes with increased challenges, and a need for tools that match this working style. The PagerDuty mobile application is well recognized, with a 4.8 stars rating on the App Store and Google Play.

Sponsored Post

Using Open Source for API Observability

API Observability isn't exactly new, however it's popularity has seen rapid growth in the past few years in terms of popularity. API Observability using open source is different from regular API monitoring, as it allows you to get deeper and extract more valuable insights. Although it takes a bit more effort to set up, once you've got an observability infrastructure running it can be immensely helpful not only in catching errors and making debugging easier, but also in finding areas that can be optimized.

Is Open-Source Kubernetes Free? Yes, "Like a Puppy." Here's Why.

The common misconception of open-source Kubernetes is that it is free—but in reality, it has a lot of associated costs, including labor and potential business losses from wasted time, effort, and being late to market. Just like a puppy, Kubernetes software itself might be free, but a do-it-yourself (DIY) deployment involves a lot of care, patience, and unforeseen costs.