Operations | Monitoring | ITSM | DevOps | Cloud

We’re delighted to announce the freshly-updated JFrog Technology Partner Program, a powerful initiative that will elevate our already large and vibrant ecosystem of integration partners and strengthen JFrog’s “too integrated to fail” commitment to its customers and the DevOps community. The program is a natural next step for JFrog.

When you’re planning to move a workload to the cloud, whether public or private, you need to select the best instance size and volume types to meet your needs. Sounds obvious, but the process is anything but.

It has been 6 months since our engineering team started to work on what we decided to call Qovery v2. But what makes this next release so cool? Here are the top 4 features that make this release so appealing.

Rust, a blazing fast and memory-efficient language, made its first appearance about ten years ago. Rust has gained a lot of momentum recently with the popularity of WebAssembly, a language that allows languages like C++, C, and Rust to run in web browsers. This enables developers to build highly performant applications and provide web apps with native functionalities that are not available on the web platform. In this tutorial, you will learn how to deploy a Rust application to a hosting platform.

We’re happy to debut our new website, highlighting our newest features! We’ve been busy updating our product UI and decided to showcase some of the work on the site. All of our case studies, whitepapers, and datasheets are now in the Resources page. We’ve also been featured on a variety of news sites, podcasts and blogs. We linked all of them in the “Speedscale in the Media” section.

This blog will explain the Azure Data Explorer, its core concepts, and a few of its significant features. As the data generated by enterprises is growing day by day, data strategists are looking for more effective techniques to handle a massive volume of diverse data. With all these requirements, there emerges a need for a service that can collect, store, and analyze data with optimal performance. Let us see how Azure Data Explorer addresses these requirements.