Cloud and DevOps cannot survive without each other. According to a report published by freeform dynamics, a whopping 81% increase in productivity is reported when DevOps and cloud are used together.
In today’s market, companies always try to be efficient and fast. This requires better technology and tools to gain a competitive edge. This is where DevOps and cloud come together. Let’s explore DevOps and cloud to gauge their benefits.
DevOps & Its Benefits
As the name suggests, DevOps try to reduce the gap between the development and operations team and make them work together. Instead of waiting for the development team to complete their development cycle or sprints, DevOps allows them to continuously develop the features and make them live, i.e., continuous integration and continuous delivery (CI/CD). As a result, instead of one release a month, DevOps makes a dozen or more deployments (sometimes dozen a week), making it a faster approach.
It also reduces the time to develop a feature and make it live, so clients get access to the required features quickly. This results in a better customer experience, hence happy clients.
DevOps & Cloud Relation
For better development and delivery, fast access and quick deployment are the keys. Cloud helps provide that.
Setting up a local server environment requires a lot of investment in terms of money, time, and resources. Buying servers equipment and creating the whole setup requires a lot of monetary and resources investment. Companies also have to make the entire setup available 24 hours a day, keep it secure, and with no lag access. Cloud helps avoid all the hassle.
With the help of the cloud, DevOps teams can create an agile environment fairly quickly and easily. Teams can set up the required development platforms within minutes, i.e., no need for a lengthy setup time for tools like MySQL, Apache, Big Data Jenkins, Git, Maven, and more.
In today’s hybrid world, where teams work from different locations, remote work is essential now. Cloud makes it easy and reliable to remotely access the required tools and work environment without losing any time or functionality.
Without the cloud, teams do the testing on local servers with limited data and different environments. Cloud service providers like AWS and Azure also have testing environments set up and ready to go. This helps test complex scenarios with ease, making the product better and more reliable.
Cloud also helps test new tools and techniques easily with readily available options. This also helps development teams evolve. In addition, development teams can run SDLC processes with automation, making companies focus more on innovation and development.
Security is also an added bonus to the cloud. Keeping local server setup safe and secure from external and internal threats requires a lot of expertise. Good cloud service providers like AWS and Microsoft have security teams with dozens of security checks implemented. Encrypted communication across the network makes it difficult to decipher, making it more secure than a local server setup. It also protects from internal threats, i.e., every access and action taken on the platform is recorded. The system cannot be taken down if anyone tries to, making it more secure than an on-premise setup.
DevOps & Cloud Future:
With the rise in the popularity of microservices, DevOps & Cloud combination, together, have established itself as a go-to methodology for all development teams. Especially in this post-pandemic era, where more and more people are going online, working from home, and accessing the same setup from different continents.
Research by Global Market Insights shows that a 20% growth in DevOps is witnessed and is expected to continue this growth trend till 2026.
With the Covid pandemic still lurking around in 2022, it will be interesting to see how companies evolve the DevOps culture around it, but one thing is for sure, DevOps and cloud are not going anywhere.
Scalar Solutions is one of the leading IT Consulting and Staffing firms which specializes in Cloud Migration, Business Intelligence, Big Data, and Advanced Analytics.