Operations | Monitoring | ITSM | DevOps | Cloud

Django is the most popular web development framework for the Python programming language. Its design facilitates rapid development without compromising on the standards of professionally built applications. It is free, open source, uses the Model-View-Template architectural pattern, and encapsulates a lot of boilerplates to enable developers churn out web apps quickly.

The simplest way to manage and organize your Node dependencies is with an npm repository. You need reliable, secure, consistent and efficient access to your dependencies that are shared across your team, in a central location. Including a place to set up multiple registries, that work transparently with the npm client. With the JFrog free cloud subscription, including JFrog Artifactory, Xray and Pipelines, you can set up a free local, remote and virtual npm registry in minutes.

At FireHydrant, we envision a world where all software is reliable, and we’re on a mission to help every company that builds or operates software get closer to 100% reliability. Today, we’re thrilled to announce that we’ve raised $23 million to help us further our goal.

For years, enterprises have been employing monolithic applications with complex functional frameworks. But today, with advanced solutions built ith API’s and Microservice architecture are putting an end to their realm. With ever-changing requirements in the IT world, enterprises are required to adopt advanced applications with sophisticated features and functions that can accommodate changes throughout.

Peering plays an essential role in the structure of the global internet. In this blog, we take a look at the different peering models available to organisations and explore some of the new ways they can access Internet Exchanges.

Can you run HAProxy as a Docker container? Yes! Did you even need to ask? Docker is ubiquitous these days and you’ll find that many applications have been Docker-ized; the HAProxy load balancer is no exception. Pardon the cliché, but HAProxy was born for this. As a standalone service that runs on Linux, porting it to Docker certainly seemed natural. Why would you want to run your load balancer inside of a Docker container? Are their performance penalties when doing so?

You've always been able to execute CI/CD workflows via Bitbucket Pipelines using Atlassian's infrastructure. This is the easiest way to use Bitbucket Pipelines because you don't need to host or manage any servers. We host it and manage it for you. But sometimes you need more control of your hardware, software, and the environment your builds are executed into.