Operations | Monitoring | ITSM | DevOps | Cloud

In March, the Cloud Native Computing Foundation (CNCF) released its Annual Survey 2021. Civo featured alongside the likes of Amazon and Azure when CNCF asked developers "Does your organization use any certified Kubernetes installers?". Saiyam, Director of Technical Evangelism at Civo, also released an update on the new advancements so far for our 2022 Roadmap.

In 2020, we started an internal project to price our data center systems to understand what they might cost to run in the AWS or Azure cloud environments. We initially used some of the online pricing tools available from these vendors, but they were slow and difficult to use in bulk. You can find the public cloud tools here: AWS and Azure. We were forced to add individual systems one at a time and pick options for each because of the nature of these tools.

In the first part of my DevOps 101 series, we tackled the fundamentals of What, who why and how. In this follow-up, I’m going to focus on how to gain buy-in across your organization. That said, who do you need buy-in from? DevOps is the union of people, processes and products to enable continuous delivery of value to our end users, according to Microsoft’s Donovan Brown. That’s a good explanation, because the focus is not on tooling, or processes, or even just people.

Welcome once again to another Logic App Best practices, Tips, and Tricks. In my previous blog posts, I talked about some of the most essential best practices you should have while working with the Azure Logic App: And some tips and tricks: Today I’m going to speak about in my opinion one of the most annoying features/tasks and recommend some Best practices, Tips, and Tricks to minimize it: working with expressions.

In this blog, we will be introducing the concept of High-performance computing (HPC) and HPC clusters. We will also introduce a few categories of practical workloads important in the HPC space. This blog is a part of a series of blogs on HPC where we will introduce you to the world of HPC.

Data masking is a technique of hiding sensitive data from certain users who should not be able to view or access the actual values. This post will look at the reasons why you might choose to implement data masking and discuss both dynamic and static data masking techniques, and when it is appropriate to use each of these.

To embed or not to embed: That is the question. At least, that’s one of the questions that companies have to answer as they decide how to implement Site Reliability Engineering. They can either embed SREs into existing teams, or they can build a new, separate SRE team. Both approaches have their pros and cons. The right strategy for your company or team depends, of course, on your needs and priorities.

Another conversation that was recently had during our weekly field enablement office hours here at Shipa was “what exactly is a microservice?”. Certainly, a term that has been used to describe a paradigm and architectural practice. One can argue that the breaking down or decomposing of applications has been going on for decades and is not a monumental shift in computing. There are several definitions of microservices from a purist definition to a definition resembling a movement.

Modern software systems are complex, with services distributed across data centers, in many zones, all around the world. Gone are the days when we managed individual servers dedicated to our organization, comfortable with the knowledge of the unique quirks of our setup. Now we rely on others to manage massive data centers where we borrow small slices of virtual space on shared hardware, traveling over shared networks, all in a system we call the cloud.