When traffic increases, we need to have a way to scale our application to keep up with user demand. With Kubernetes multi-cluster management through Rancher, scaling has never been easier and more efficient. Read here about scaling Kubernetes and the challenges you might be facing when managing a hybrid cloud environment.

It might surprise you that the version of cron that runs on your server today is largely compatible with the crontab spec written in the 1970s. One downside of this careful backwards compatibility is that jobs, even on the same server, can be created and scheduled differently.

In the past, applications would be deployed by installation on a host, using the operating system package manager. This was a heavy solution with tremendous reliance on the operating system package manager and increased complexity with libraries, configuration, executables and so on all interconnected. Then came containers. Containers are small and fast, and are isolated from each other and from the host.

IT Ops and DevOps teams in every organization are capable of focusing on revenue-generating initiatives and projects. Unfortunately they’re held back by constant fire-fighting…which means they are reduced to supporting just the current state and existing/legacy applications and services.

As the most widely used source code management and error monitoring solutions, GitHub and Sentry work together to help developers improve their code and their productivity. With the newest Sentry integration release, GitHub users benefit from faster sign-in, flexible repository permissions, and easier organization-wide setup. And for the first time, GitHub Enterprise users can also take advantage of these useful integration features.

Kubernetes is an open-source container-orchestration system for automating application deployment, scaling, and management. It was originally designed by Google, and is now maintained by the Cloud Native Computing Foundation.

Microsoft’s cloud-based platform Azure has helped many businesses expand and cut back on their costs associated with hosting and storing data on a traditional server. Furthermore, the platform has given developers a chance to create, manage, and deploy powerful applications capable of assisting cloud customers to perform any number of tasks. From handwriting recognition to text sentiment analysis and Bing ad-free image search, Azure’s ML-based services spans many areas.