The word “DevOps” has been around for more than a decade. DevOps has developed since then, with new tools, technologies, and processes to enable unprecedented digital transformation. As DevOps becomes increasingly established in the software delivery life cycle, the next decade and beyond offer even more innovation. But what comes next? And how can businesses prepare?
In this blog, we will learn the core tenets and best practices for keeping your DevOps approach relevant even in the face of tremendous business and technical change. Take a look at the key considerations for future-proofing your DevOps strategy –
The first key consideration is to unify the central management of the end-to-end delivery process and the delivery outcomes. It all comes down to efficiently managing the process as well as the outcome of that process in one central location. You need to artifact the building blocks of your software as they make up the outcome of your CI/CD processes. It’s important to have granular visibility of these building blocks from development down to your production. This also allows for consistency and traceability throughout your pipeline.
Unifying processes is essential because a lot of tools let you do one and not the other. For example, a tool can allow you to daisy-chain your processes but not provide much visibility on the outcomes of those processes.
The next key consideration is incorporating the DevSecOps solution into your solution and shifting left security and compliance. As 60 – 80% of the code is comprised of open source or third-party components, and since there are app vulnerabilities, they become the number one source of external attacks or breaches. The applications that you produce can have hundreds of container images, comprising multiple components and on top of it, tackling breaches or cyber-attacks can become a challenge.
Therefore, you need to shift left with security and compliance, having all the tools that allow you to do so. The DevOps tools also need to have tight integration with the rest of your DevOps ecosystem. This also includes the IDE.
Cloud-native and legacy
New consideration would be supporting both the cloud-native as well as the legacy applications in one single solution. This means, to avoid context switching, you need to support both the modern architecture and the legacy systems through a unified solution. For this, you need the ability to plug in and tools for each of the stackers of technology.
For instance, while you are building a cloud-native microservice, you need an easy way to deploy to Kubernetes. However, if it’s a legacy-based application, you may need to deploy on a standard VM environment. So, having a DevOps platform that allows you to build and deploy both the cloud-native and the legacy applications is very important in your DevOps solution.
The next step is to provide flexibility for your “hybrid-anything” plug-in, any technology, stack, point-tools, process, or hybrid/multi-cloud infrastructure. Since hybrid on the rise, your processes and tools need to support and integrate with any technology that includes your point tools, process infrastructure, etc.
This is because the future is uncertain. Modern software developments move at a high pace and you need to keep up. So, you need to be able to easily support the different types of apps and different technology stacks. With this, you also need to able to plug in any additional ecosystem tools, different environments, and different processes. Therefore, by leveraging a multi-cloud approach, you can ensure your processes and tools are vendor agnostic to avoid the vendor login.
DevOps-as-a-Services at scale
This is a must for streamlining processes, ensure compliance, and simplify management at scale. Even though you’d need to allow flexibility, you’d also want to allow and promote compliance as well as standardization to avoid snowflake workflows or configurations. So, one of the key aspects of this is a holistic DevOps ecosystem and this involves business processes and tools. At the same time, you need flexibility and agility to fulfill the needs of each of your teams.
For example, when you need to onboard new developments teams into an existing DevOps process and tool. This is when you leverage a set of standardized DevOps solutions to quickly onboard the team and also avoid having them come up with their process or infrastructure from scratch, every single time. So, companies need to support concurrent pipelines, applications, developers, and they cannot afford to have each of their teams have their workflow or infrastructure.
Software engineering has played a significant role in modernization and automation. DevOps is the pinnacle of software development.
DevOps has forever changed the IT industry by breaking down the silos that afflict traditional architectures and processes. It synergizes automation and monitoring at all stages of software development by unifying everything in software development and software operations. This results in increased agility through shorter development cycles, increased deployment frequency, and highly stable software that are in sync with all business objectives.
Regardless of your knowledge of IT technology and processes, the DevOps Training provides a complete look at the discipline, covering all important concepts, methodologies, and tools. Beginning with a fundamental introduction to DevOps, it delves into the ideas of virtualization, its benefits, and the numerous virtualization tools that play an important part in both learning and implementing DevOps.
You’ll also learn about DevOps tools like Vagrant, VCS, Docker, Containerization, and Configuration Management with Chef, SaltStack, Puppet, and Ansible. DevOps course covers both intermediate and advanced ideas, such as the open-source monitoring tool Nagios, its plug-ins, and its use as a graphical user interface (GUI).
What we’ll cover in the following topics in DevOps course –
- Introduction to DevOps
- GIT: Version Control
- Docker – Containers
- Puppet for configuration management
- Nagios: Monitoring
- Jenkins – Continuous Integration
- Docker Container Clustering using Docker Swarm
- Docker Container Clustering using Kubernetes
- Advanced DevOps (CI/CD Pipeline Automation)