DevOps has come a long way and it will continue to shine in 2021 and beyond. With more and more companies adopting the DevOps culture, the trends keep changing as per market needs. Since many companies are looking for the best practices around digital transformation, it is important to keep an eye on the current DevOps trends.
Until now, DevOps trends have helped companies to come up with a baseline to predict how DevOps will respond to customer needs. Due to the massive DevOps deployment scenarios, organizations can witness delivering a massive value to the business.
Well, it becomes essential for companies to migrate to microservices to be successful in their digital transformation journey. Adoption of multi-cloud terraform will be a definitive choice for automation of infrastructure for companies.
Technology is inevitably changing and monolithic systems are difficult to deal with. The microservices architecture will help in developing software that seeks to focus on single-function modules.
To achieve successful migration, organizations need to identify which part of the business could benefit from microservices architecture.
Due to COVID-19, the worth of security increased more. It will be a crucial element in the software and application development process including – integrating, testing and implementing.
DevOps play a vital role in setting up the security policies, procedures and infrastructure. Hence, organizations must focus on developing security protocols.
Organizations that have an effective development team often fail to invest in application security. Having an application security team on board is the first step in enabling DevOps security.
Serverless architecture is gaining significant momentum amongst the DevOps community. Technology leaders like – AWS, Azure and Google Cloud Platform provide enhanced scalability, deployment and productivity at nominal cost.
Serverless computing allows developers to purchase backend services on a “pay-as-you-use” model. This approach offers developers and organizations a level of abstraction that enables them to minimize the times and resources.
The IaC is a core principle in DevOps in the cloud, as the servers, network, storage devices etc. This allows organizations to make their infrastructure simple by automating the process. From reducing the downtime to preventing disastrous failure, organizations can achieve a lot.
Infrastructure as Code is evolved to solve the issue of environment drift, especially during the release pipeline. It enables the DevOps team to test applications in the product environment and prevent common deployment issues.
NoOps refers to No Operations, which means the automated software will perform all the work that the operations team would do. Organizations don’t have to hire an operation team separately and can eliminate the need for human management.
It is all about implementing the processes that automate the IT infrastructure. Businesses are moving away from manual processes of database installations, configuring firewalls, publishing the SSH keys etc.
There are many ways to make NoOps possible. Organizations must look for solutions that automate infrastructure and deliver applications.
Edge computing is the practice of capturing, storing, processing and analyzing data. It means running fewer processes in the cloud and moving those processes to local places. However, the IT operations need to evolve effectively to monitor and manage new sensors, devices and data.
The explosive growth of interconnected devices that require real-time computing power continues to drive the edge computing systems.
DevOps will continue to be the choice of deployment in the enterprise market place. It offers reliable, scalable and high-performance delivery – and allows organizations to build solutions with lesser dependencies and management cost.
Companies employing DevOps and its current trends will improve their capability to create effective and robust applications.
With the right set of tools and the correct level of automation, we will help you improve end-to-end processes.
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