DevOps culture is now an integral part of every tech savvy business and plays a role in many business processes, ranging from project planning to software delivery. As cloud services are prevailing today, the requirement of related supplementary services is growing rapidly. DevOpstechnologies are increasing as well, so how one should choose the right tools to automate his work? There are a lot of opinions, but I will share the list of DevOps technologies I find the most important to master in 2019.
Ansible is a quite simple software provisioning, configuration management and application deployment tool, which ensures faster time-to-market for your applications. No matter if you are a one man company or an enterprise, you can automate orchestration, cloud provisioning, computing machines deployment and other tasks. I like Ansible because it is not as complex as Puppet or Chef, but speeds up productivity just as well.
A lot of DevOps engineers call Jenkins the best CI/CD tool available in the market, since it’s incredibly useful. Jenkins is an automation server that is written in Java and is used to report changes, conduct live testing and distribute code across multiple machines. As Jenkins has a built-in GUI and over 1000 plugins to support building and testing your application, it is considered a really powerful, yet easy to use tool. Thanks to these plugins, Jenkins integrates well with practically every other instrument in the continuous integration and continuous delivery toolchain.
Docker is a software containerization platform that allows DevOps to build, ship, and run distributed processes within containers. This gives developers the ability to create predictable environments that are isolated from the rest of the applications and can be run anywhere. Containers are isolated but share the same OS kernel. This way you get to use hardware resources more efficiently compared to virtual machines. Each container can hold a single process, like web server or database management system. You can create a cluster of containers distributed across different nodes to have your application up and running in both, load balancing and high availability, modes. Containers can communicate on a private network, as you most probably want to keep some of your application parts private for security purposes. Simply expose your web server to the Internet and you are good to go.What I like most is that you can install Docker on your computer to run containers locally to make some ad-hoc software tests without installing its dependencies globally. When you are done, you simply terminate your Docker container and your computer is as clean as new.
While Docker allows developers to build, ship and run applications in containers easily, Kubernetes makes running containers in a cluster as easy as ever. You can automatically deploy, scale, monitor and manage your cloud-native application with Kubernetes. It is a powerful orchestrator that allows you to manage communication between containerized components, known as pods, and coordinate them as a cluster. Kubernetes has now become the heart of a microservices application. The ecosystem around it is expanding by the minute with Cloud Native Computing Foundation ensuring its future success. There are now many additional observability, networking and distributed data storage services that complement Kubernetes in building a loosely coupled distributed system that is resilient, manageable and observable.
A great messaging and queuing tool which you can use for applications that runs on most operating systems. Managing queues, exchanges and routing with it is a breeze. Even if you have elaborate configuration to be built, it’s relatively easy to do so, since the tool is really well-documented. You can stream a lot of different high-performance processes and avoid system crashes through a friendly user interface. It ‘s a durable and robust messaging broker that is worth your attention. As RabbitMQ developers like to say, it’s "messaging that just works".
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