Operations | Monitoring | ITSM | DevOps | Cloud

Continuous integration (CI) makes the cycle from design to code to building artifacts seamless and consistent. Continuous delivery (CD) makes delivery of that artifact to an environment the same every time. But, what about the actual environment the artifact is running in? Is it the same every time? That’s a hard thing to guarantee — unless you take advantage of an Infrastructure-as-Code (IaC) approach. This post explains how to use Infrastructure-as-Code to improve CI/CD.

Because DevOps practices can bring great speed and reliability to the software delivery lifecycle, release management can seem daunting. But, the improved visibility and collaboration brought about by DevOps can also help with the release management process. While the general concept of release management doesn’t really change between ITIL (IT Infrastructure Library) and DevOps, there are a few ways that the process differs.

Over the past few years, cloud computing has enabled agile, dynamic management of software and hardware components, on-demand. Nowadays, we can define our desired infrastructure in as little as a few lines of code, and we can provision real servers on cloud providers like AWS or Azure. Terraform is an open-source infrastructure-as-code (IaC) tool that has become the de facto solution for provisioning one aspect of those components.

OpenStack vs AWS is a discussion that almost every organisation must conduct when adopting a cloud strategy. This is because OpenStack and AWS are undoubtedly some of the most popular cloud technologies in both public and private cloud space. While AWS is the most popular commercial cloud platform, OpenStack remains its most popular open source equivalent. Both have their own pros and cons. But which one is better for you?

Logz.io is a SaaS (software as a service) provider with an observability offering made up of various managed open source technologies. These technologies include the Elastic Stack for logging and SIEM (security information and event management), Prometheus, for monitoring, and Jaeger for tracing. The company positions itself as an alternative to the Elastic Stack (or ELK Stack), which is made up of Elasticsearch, Logstash, Kibana, and Beats.

I recently wrote about the importance of logging and how developers often overlook it in the software development process. Now that you’re convinced that you should be logging throughout the SDLC, it’s time to choose a reliable and dedicated log management platform.

IT professionals love their metaphors. From “pets vs. cattle” to “post mortems” to “fog computing” and beyond, practitioners tend to use analogies to shape the way they think about complex technical topics. Here’s another analogy: Log looms.

At FlashDrive.io we use every day and love modern static websites frameworks like Gatsby, Hugo, Jekyll, and more. Gatsby, for its huge community and user base, is the first framework to have a complete build add-on developed on FlashDrive and we love playing with Gatsby every day (some of us are even a little too more invested in the project... we love you E, but get back to work!!). What's also great with Gatsby is that it comes with a large set of plugins to connect with various CMS.

As MSPs expand their cybersecurity offerings, cyber-intelligence is an area that can help them improve protection for customers, generate additional revenue, and differentiate their services from the competition. However, when we talk to MSPs about cyber-intelligence, we often get the raised eyebrow. This reaction is driven by many factors. One of which is the nebulous meaning of cyber-intelligence—what is it really?

As Kubernetes Pods don't store data persistently, it offers different storage components to prevent this data loss. In this blog, learn how Volume works in Kubernetes, how to create it, and how to attach it to the Pod. Before exploring Kubernetes volumes, let’s first understand Docker. Docker containers are meant to be transient, which means they will only last for a short period. They are called upon when required to process data and are destroyed once finished.