Operations | Monitoring | ITSM | DevOps | Cloud

I have a setup at home where I keep a local git server running on a Raspberry Pi 3 which contains personal/work journal, dotfiles and a personal policy repository. It was set up manually so before adding a new git repository for a family password store I set about retrofiting the configuration in CFEngine. The goal in this blog is to ensure that what I have already is managed by CFEngine and that what I want to add, /srv/git/passwords.git, is created.

At the start of the COVID-19 pandemic, military IT leaders raced to expand network capacity and upgrade infrastructure to ensure it could meet their mission-critical workloads and support telework. Their successful efforts have established a proof of their own abilities to adapt and scale their networks with speed and agility. As more DoD personnel telework and government and home networks are pushed to the max, here are three things they must consider as plans for the impact on IT systems.

When you’ve chosen Microsoft Azure to host your JFrog Cloud Enterprise or Enterprise+ subscription, you’ll naturally want to make good use of the services Azure provides for security and user administration. DevOps security starts with who has access to your builds, releases, and automation.

One of the most common concerns when moving to the cloud is cost. Given that cloud allows you to turn IT costs from CAPEX (long-term investments ex. in hardware equipment and software licenses) into OPEX (day-to-day operating expenses), it’s crucial to choose the right service and estimate it properly. In this article, we’ll look at the common pitfalls and discuss how you can avoid them to truly benefit from the cloud’s elasticity.

DevOps tool of the month is a series, where each month I will introduce one new useful DevOps tool in 2021 For March I chose: Shipa – Shipa’s cloud native application management framework makes working with Kubernetes for developers extremely easy.

FireHydrant uses a CLI for some developer actions, called fhd (FireHydrant developers). Previously, we might have distributed workflows among new developers by having them copy/paste or clone scripts down to their machines--but Crystal lets us encapsulate shared tooling in a compiled binary. This way, we have a CLI that developers can install quickly, and that works seamlessly with our other tools.

Since the data lake concept emerged more than a decade ago, data lakes have been pitched as the solution to many of the woes surrounding traditional data management solutions, like databases and data warehouses. Data lakes, we have been told, are more scalable, better able to accommodate widely varying types of data, cheaper to build and so on. Much of that is true, at least theoretically.

Software development by distributed teams is nothing new. But since 2020, it’s no longer just teams that are globally dispersed, it is the individual team members themselves. Remote working is the new normal. So in this unpredictable, “modern” world we’re in, how do you put together a solution that delivers for every single team member, no matter their location?

Optimizing server performance is important in supporting end-user requirements. Using server optimization, actively monitor: Web server monitoring and optimization helps you to troubleshoot bottlenecks as they emerge and optimize server performance. In this post, we will discuss how to optimize performance and why it is important.