8 March 2023 | Noor Khan
Organizations are progressively looking to become agile and bring products to the market at the optimal timing, driving an increasing need to implement DevOps. Google found that 86% of organisations state it is incredibly important to develop software quickly, however, only 10% are able to deploy software at a rapid pace. Therefore, there is still a significant need for DevOps to empower organisations to remain competitive and become truly agile.
Automation is one of the core principles of DevOps and is essential to achieving the end goal of DevOps which is speeding up the development processes with efficiency. In this article, we will look at the role of automation within the DevOps discipline, with examples of processes that can be automated and key technologies that can help you achieve automation.
Although automation is a significant and core pillar of DevOps, it is not be all end all. DevOps can work without automation, albeit less effective and slower. Automation is the driving force of the speed that DevOps offers, so they both go hand in hand.
The processes you should automate will differ for every team as their requirements and end goals will vary. In an ideal world, everything would be automated to achieve true efficiency, however, that is not possible. The following are just some of the key processes that can be automated to drive efficiency and save precious time and resources that can be used on mission-critical tasks.
Release of application – this process can be automated with automation suites which can test and deploy new versions of software.
Automated testing – Manual testing can be time-consuming and an incredibly lengthy process, testing can be automated with frameworks, to evaluate and analyse how the software will perform and if it meets the predefined criteria.
Backing up data – Although, it may not be a priority, having a back of data is essential should errors and failure occur with newer versions of software. Data backups can be automated at select times and frequencies as per requirements.
Monitoring – The monitoring of software can be automated with the right technologies which will alert you if there are errors which require human intervention.
Error resolution – This process can be automated where the software will re-run reports to resolve any errors. If the errors still occur, these can be reported automatically.
A wide variety of technologies can be employed to automate processes, some of the most popular are:
Find out more about our technology partners
At Ardent, we believe automation should be implemented across as many processes as possible to save business costs, remove manual burdensome tasks which drain productivity and empower staff to focus on high-value work. Therefore, it’s a core part of our DevOps approach. We have delivered innovation and automation to a wide variety of clients, read about our client successes:
If you are looking to inherit and employ DevOps at the core of your software development, with speedy turnaround offering a swift go-to-market, we can help. Get in touch to find out more or to get started.
Digital transformation is the process of modernizing and digitating business processes with technology that can offer a plethora of benefits including reducing long-term costs, improving productivity and streamlining processes. Despite the benefits, research by McKinsey & Company has found that around 70% of digital transformation projects fail, largely down to employee resistance. If you are [...]
Read More... from DevOps Automation – What it is, Examples, technologies
Protocols and guidelines are at the heart of data engineering and application development, and the data which is sent using network protocols is broadly divided into stateful vs stateless structures – these rules govern how the data has been formatted, how it sent, and how it is received by other devices (such as endpoints, routers, [...]
Read More... from DevOps Automation – What it is, Examples, technologies
Data observability is all about the ability to understand, diagnose, and manage the health of your data across multiple tools and throughout the entire lifecycle of the data. Ensuring that you have the right operational monitoring and support to provide 24/7 peace of mind is critical to building and growing your company. [...]
Read More... from DevOps Automation – What it is, Examples, technologies