DevOps is now in its second decade, and it’s evolving faster than other kinds of software delivery. Currently, developers focus on value delivery with a customer-centric core. But what does the next decade hold? In this article, we will reveal the trends, insights, and predictions for the future of DevOps.
Let’s get started.
1. From Continuous Delivery to Customer Value Delivery
Before continuous delivery, the traditional approach of releasing software was to deliver software updates to introduce enhancements through patches or new versions. Such releases could be major changes like a complete overhaul, or minor enhancements and a few bug fixes.
However, the problem with that approach was that enterprises using the model weren’t delivering enhancements quickly enough, which frustrated customers and put the organization behind its competition. Necessity led to the development of continuous delivery.
Continuous delivery allows enterprises to automatically deliver new fixes, functionality, and features to software that is in use. It involves the management of code between environments (testing, development, staging, production, etc.) within a source control system.
However, with the rise and almost mandatory adoption of digital transformation due to the COVID situation, customers—who are now largely dependent on their digital experience to run their businesses—expect continuous delivery, and more. They are adapting to their market in real time, and need their software to keep up with them.
Speeding up release dates is no longer enough. Customers expect an approach that introduces quick changes without damaging production with enhancements and bugs that fail to provide the value they expect. This is where the shift is happening. Enterprises don’t just want the updates and enhancements delivered continuously, they must be effective and work properly. Value is now a core focus.
2. A Shift to Security First and DevSecOps Approach
Until recently, security was a distinct part of the software development process. In 2021 and beyond, however, you can expect that security will become an integrated part of the Software Development Life Cycle (SDLC).
This shift to DevSecOps means there will be a reduction in dedicated security processes in the continuous integration and continuous delivery pipeline, as automatic security actions and awareness will be included in every step along the way, beginning right at the developer’s IDE.
Due to the coronavirus pandemic, more and more enterprises have embraced digital transformation to stay competitive, and this has led to a rise in cyber attacks.
DevSecOps seeks to ensure a smooth workflow with the goal of eliminating the divide between development and security teams by embedding security processes into the workflows. This shift would enable teams to increase the frequency of software releases without indirectly increasing security risks.
3. DevOps Automation Will Be the New Normal
DevOps automation is the inclusion of technology to perform repetitive tasks and reduce human assistance needed for processes. Feedback loops are created between development and operations teams, increasing efficiency.
The scale and pace of digital business innovation is rising rapidly. By applying contemporary automation to an organization’s application environment, the business can better serve its customers and achieve success in the digital economy.
This is why enterprises will start to shift from high-level involvement to a more efficient environment that allows people to focus on other tasks while repeatable tasks are automated.
Customizable, reliable, fast, and repeatable automation holds the key to the success of any software engineering project—and this is what DevOps automation offers.
4. Microservice Configuration Management Will Be Essential
Transitioning from monolithic to microservice configuration management will be essential for every company’s digital transformation process. But what does that mean?
Microservice configuration management is the tracking of microservice changes alongside their consuming applications. With monolithic developments, the configuration management phase was implemented at the “software” level—Software Configuration Management (SCM).
In the SCM approach, configuration management and version control were done via checking source code into a version repository and then checking it out for the link/compile phase. The core of all SCM was implemented at this stage.
The outcome of this was the ability to clearly identify the changes between two releases, which was shown through the Impact Analysis, Difference Report, and the Bill of Material Report.
With the use of microservices, there’s a shift from SCM-level tracking and the need for microservice-level tracking. This is because a change to your microservice affects your microservice architecture, which means that all logical applications that use that service will be impacted.
5. Cloud-Native DevOps Will Grow
DevOps, the approach of automating processes between operations and development, is one of the most important factors to adequately implementing a cloud-native model. As the cloud-native approach targets reducing your go-to-market time and sending more efficiency to your organization, DevOps help streamline tools, systems, and individuals that contribute to the overall success of your organization. This is why many companies see a cloud-native DevOps approach as the logical step to boost productivity.
The cloud-native DevOps approach is on the rise due to COVID, which drastically influenced cloud adoption. Data even shows that by the end of 2021, 80% of enterprises will have doubled their adoption of cloud-centric apps and infrastructure—mostly because many businesses are hiring remote staff.
The annual global spend on cloud services is on the rise, as seen below:
6. From DevOps to AIOps
AIOps offers organizations a tremendous opportunity to handle operational challenges and boost service efficiency. Organizations will need to free workers to focus on more vital tasks and train them to provide better services for improved customer experiences, not scale them alongside technology in the bid to operate it.
As brands embrace digital transformation (for many reasons but particularly because of the current worldwide pandemic), the next move will be to maximize profitability by scaling AIOps to take advantage of the advancements DevOps creates. In this way, businesses will maximize their workforce better as AIOps is used to boost efficiency.
How KloudGaze Can Help Enterprises in the DevOps World
KloudGaze is the first fully-automated platform that provides analysis across each stage of the release pipeline and integrates with key tools to deliver powerful ROIs. KloudGaze uses SmartAPIs to foster better DevOps that allow for the shift from continuous delivery to customer value delivery and instantly generate dependency views of your entire landscape at the code level.
This granular view supports powerful analytic capabilities and immediately pinpoints issues in your infrastructure, aiding a DevSecOps approach. Unifying your data into a singular dashboard promotes DevSecOps that ensures customer value delivery by aligning business objectives and metrics across teams and departments.
This detailed reporting supports the scale of DevOps best practices by allowing swift response rates for deploying resources to address problems. Having the data available in a single dashboard also unifies the metrics and fosters CD/CI for your DevOps teams as they move through the release pipeline.
As enterprises the world over embrace digital transformation, what trends in the DevOps community can you expect to see in 2021 and beyond? Here they are.
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Wonder what trends are in store for the DevOps community in 2021? We’ve listed 6 of them in detail to help you stay ahead of the game and align your organization to the transformations.