GitKraken Tips VII
To help you get the most out of using the GitKraken Git client, we’re bringing back our popular #GitKrakenTip series. These quick tips and tricks will empower you to wield the mighty Kraken and code like you never have before.
To help you get the most out of using the GitKraken Git client, we’re bringing back our popular #GitKrakenTip series. These quick tips and tricks will empower you to wield the mighty Kraken and code like you never have before.
As more and more organisations dive into Azure, storage consumption continues to grow and so does the cost to businesses. Azure offers almost a limitless supply of storage, but this comes at a cost so it’s important to know exactly where that storage is going. There are a few ways to get this information, either via the Azure portal, Azure Storage Explorer or even PowerShell. However, all these tools have limitations and to be honest, rather lacking and not that straightforward.
Have you ever wondered how many active users your application can handle at the same time? If so, you’re not alone. Here at Mattermost, we’re building a highly concurrent messaging platform for team collaboration that needs to potentially serve up to several thousands of users simultaneously.
Today (September 17th, 2020) heralds the release of Ivanti User Workspace Manager 2020.2 – our most significant in recent years.
The DevOps India Summit brings together some of the best thought leaders in the DevOps space to discuss and debate everything DevOps related. This year, the event was a virtual one, held in a virtual venue with a virtual lobby, exhibit hall, booths, and a virtual auditorium for speakers presenting online.
With the release of Kublr 1.19, we are continuing the tradition of expanding customization capabilities available to end users and Kubernetes operators and administrators. Kublr 1.19 includes numerous improvements to the customization of Kubernetes clusters deployed on AWS and other clouds. Key among these is support for mixed instance policies including spot and on-demand instances and multiple instance types.
In our previous two blogs, we provided an overview of the architecture and design of the Elasticsearch Go client and explored how to configure and customize the client. In doing so, we pointed to a number of examples available in the GitHub repository. The goal of these examples is to provide executable "scripts" for common operations, so it's a good idea to look there whenever you're trying to solve a specific problem with the client.
Evaluating a new, unknown technology is a complicated task. Although you can articulate the goals you’re trying to achieve, you’re probably faced with multiple solutions that approach the problem in different ways and highlight varying features. To cut through the clutter, you need to figure out what questions to ask in order to evaluate which technology has the optimal capabilities to get the job done in your unique setting.