Operations | Monitoring | ITSM | DevOps | Cloud

How we're graduating Grafana Agent experiments into the official Prometheus project

We’ve been experimenting with new ways to use and operate Prometheus over the past year. Every successful Grafana Agent experiment turns into an upstream contribution for the whole Prometheus community to benefit from. In this blog post, I go over the history of the Agent’s successful — and not so successful — experiments.

Continuous integration for React Native applications

Apache Cordova, since its release in 2009, has created a paradigm shift for mobile application development. Before Cordova, only developers who knew platform dedicated languages for a particular type of mobile operating system could develop native mobile applications. There was Objective-C for developing iOS apps, or Java for Android apps and platforms like Blackberry. Windows Phone also had languages dedicated to building their mobile applications.

Using Policy Analyzer to develop and debug CFEngine policy

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.

How Eliminating Network Choke Points Can Help the DoD Plan for the Next Wave of the Pandemic

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.

Boost Permissions Management with JFrog on Azure through Active Directory SSO

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.

Improve Your DevOps Strategy Through Platform Ops

Organizations looking to scale DevOps implementations, improve their DevOps strategy, and deliver production code fast and reliably should take note of Platform Ops. Platform Ops will reshape the way we deliver value to the customer by offering an internal marketplace of self-service capabilities to many different internal business consumers. Platform Ops is an implementation of broader DevOps strategy, philosophies, and principles.

10 Mistakes to Avoid When Sizing Cloud Resources

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.

Testing Shell Commands with the Crystal CLI

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.

Data Lake Challenges: Or, Why Your Data Lake Isn't Working Out [VIDEO]

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.