GitOps – DevOps for Infrastructure Automation

GitOps offers a way to automate and manage infrastructure by using proven DevOps best practices such as version control, code review, and CI/CD pipelines.

GitOps offers a way to automate and manage infrastructure. It does this by using the same DevOps best practices that many teams already use, such as version control, code review, and CI/CD pipelines.

Companies have been adopting DevOps because of its great potential to improve productivity and software quality. Along the way, we’ve found ways to automate the software development lifecycle. But when it comes to infrastructure setup and deployments, it’s still mostly a manual process.

With GitOps teams can automate the infrastructure provisioning process. This is due to the ability to write your infrastructure as code (IaC) with the use of declaration files. We can store them in a Git repository, exactly as we store application development code.

#devops #infrastructure #gitops #gitops workflow

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GitOps – DevOps for Infrastructure Automation

How to Extend your DevOps Strategy For Success in the Cloud?

DevOps and Cloud computing are joined at the hip, now that fact is well appreciated by the organizations that engaged in SaaS cloud and developed applications in the Cloud. During the COVID crisis period, most of the organizations have started using cloud computing services and implementing a cloud-first strategy to establish their remote operations. Similarly, the extended DevOps strategy will make the development process more agile with automated test cases.

According to the survey in EMEA, IT decision-makers have observed a 129%* improvement in the overall software development process when performing DevOps on the Cloud. This success result was just 81% when practicing only DevOps and 67%* when leveraging Cloud without DevOps. Not only that, but the practice has also made the software predictability better, improve the customer experience as well as speed up software delivery 2.6* times faster.

3 Core Principle to fit DevOps Strategy

If you consider implementing DevOps in concert with the Cloud, then the

below core principle will guide you to utilize the strategy.

  • It is indispensable to follow a continuous process, including all stages from Dev to deploy with the help of auto-provisioning resources of the target platform.
  • The team always keeps an eye on major and minor application changes that can typically appear within a few hours of development to operation. However, the support of unlimited resource provisioning is needed at the stage of deployment.
  • Cloud or hybrid configuration can associate this process, but you must confirm that configuration should support multiple cloud brands like Microsoft, AWS, Google, any public and private cloud models.

Guide to Remold Business with DevOps and Cloud

Companies are now re-inventing themselves to become better at sensing the next big thing their customers need and finding ways with the Cloud based DevOps to get ahead of the competition.

#devops #devops-principles #azure-devops #devops-transformation #good-company #devops-tools #devops-top-story #devops-infrastructure

Noemi  Sanford

Noemi Sanford

1597849049

Developers Say: The Ultimate Cloud Infrastructure Automation Platform

We started a new series of interviews with our everyday users – our developers, which we are calling **Developers Say. **In the first interview, we talked about cloud automation with Marko, a full-stack developer from Vertt. This time, we have @Dzanna_Molly, a DevOps engineer working on We are Laika. She talked to us about how she likes Microtica as a cloud infrastructure automation platform.

You can read more about how Laika created a secure and scalable platform with Microtica here.

What’s the product you’re developing with Microtica?

We are Laika is a recruitment platform where Tech professionals can find the job they love, and companies can acquire top professionals from the Balkans. Tech professionals know everything about the company and the job they apply for, and they stay anonymous before a job offer has been made final. We perform matching talents and companies based on skills, preferences, and competencies through a smart platform.

Which technologies did you use when developing the solution?

The product is a web application, responsive, using React JS for the frontend. The backend is a collection of microservices in NodeJS, with AWS as a cloud provider and Microtica for deployment.

Can you tell us about your background as a developer?

I am a junior backend developer with one year of experience with NodeJS. I’ve also worked with the cloud as an AWS DevOps engineer on previous projects. We are Laika was an exceptional experience as a back-end developer. Here, I learned the architecture of microservices and how to develop backend solutions for the application. Through the use of Microtica on this project, I enhanced my knowledge as I learned a lot about the deployment process, CI/CD, and automation.

#product #cloud automation #cloud infrastructure #cloud infrastructure automation #developer teams #devops #devops automation #software development

Madelyn  Frami

Madelyn Frami

1599821640

DevOps Automation: How to Apply Automation Into Your Software Delivery Process

It seems that nowadays, DevOps can mean many different things. As a DevOps expert at OutSystems, whenever I’m asked what this practice is all about, I like to say that it’s a way to deliver value faster to your end-users. More than a skill, a job role, or a tool, DevOps is a culture-shifting paradigm.

It’s about speeding up the flow of delivering software changes to your production environments and amplifying the feedback loops in your delivery pipeline so that you can catch problems early on during your development stage and act upon them quickly. This is why you always see practices like CI/CD and test automation closely associated with DevOps.

But it is also about reinforcing the collaboration between developers and operations, breaking organizational silos, driving innovation through experimentation, and measuring the business impact of each change so that you can iterate on top of that.

I recently discussed how to adopt DevOps automation in your software delivery process in a TechTalk. So if you want to learn more about the subject, I invite you to take a look.

Why Automate in DevOps?

DevOps automation’s greatest benefit is that you increase the speed and agility to deliver and change applications while removing bottlenecks and replacing manual tasks with automation. On top of this, automation introduces process standardization which further reduces the chance of errors or oversights that can occur when performing manual tasks.

Just look at a typical change request handling process. Your customer sends your operations team an email with some feedback to incorporate into the app. The ops team shares the message with the dev team that starts working on it. Once done, the new app version goes to the testing team, who, after testing it, shares its feedback with the development team again, until the app is finally deployed.

From process gaps and manual interventions to communication delays and miscommunication, many things can go wrong in a simple change request. By automating your DevOps processes, you’re able to close some of those gaps.

DevOps automation brings together the tools used by different stakeholders from different phases of the software delivery cycle, while ensuring enhanced transparency, quick releases, and easing further deployment.

DevOps lifecycle

#devops #automation #application development #devops best practices #software delivery #ci/cd pipeline #low-code #outsystems #devops automation testing #devops toolchain

GitOps – DevOps for Infrastructure Automation

GitOps offers a way to automate and manage infrastructure by using proven DevOps best practices such as version control, code review, and CI/CD pipelines.

GitOps offers a way to automate and manage infrastructure. It does this by using the same DevOps best practices that many teams already use, such as version control, code review, and CI/CD pipelines.

Companies have been adopting DevOps because of its great potential to improve productivity and software quality. Along the way, we’ve found ways to automate the software development lifecycle. But when it comes to infrastructure setup and deployments, it’s still mostly a manual process.

With GitOps teams can automate the infrastructure provisioning process. This is due to the ability to write your infrastructure as code (IaC) with the use of declaration files. We can store them in a Git repository, exactly as we store application development code.

#devops #infrastructure #gitops #gitops workflow

7 DevOps Myths - Busted

There are plenty of DevOps myths circulating the developers’ community. This is no surprise, considering how much excitement the DevOps concept has brought over the recent years.

The DevOps methodology can provide significant positive effects for organizations when implemented properly. It can lower costs, boost efficiency, and make the work of development teams more streamlined.

However, in order to grasp the strength of this process, it is necessary to recognize what DevOps represents. That’s why, in this article, we address some of the most popular DevOps myths.

Myth 1: DevOps is all about CI/CD

One of the biggest misconceptions about DevOps is that it’s the same thing as CI/CD. The truth is that continuous integration and delivery are the key components of DevOps.

DevOps focuses on the culture and responsibility in a team. It emphasizes the need for everyone on the team to take part in each other’s tasks. This improves collaboration and communication in the team.

On the other hand, CI/CD enables this culture with software and tools that emphasize automation. You can see them as a means to an end.

Myth 2: DevOps means NoOps

NoOps describes the concept where the cloud infrastructure is so automated, that there is no need to manage it.

NoOps is considered as the next evolution of DevOps as a development model. Just like DevOps, its goal is to improve software delivery, but by allowing developers to focus on application development instead of infrastructure and maintenance.

By using machine learning and artificial intelligence, you can automate the setup, deployment, and monitoring processes, getting closer to NoOps.

#continuous-integration #devops #devops-tools #devops-infrastructure #devops-automation #mythbusting #myths #devops-myths