DevOps is more than just a hot topic within the IT industry—it is a tried-and-tested set of practices that can greatly benefit your digital transformation objectives. The definition and concept of DevOps have been somewhat muddied amid so many conversations, prompting confusion about how to implement this operational philosophy best.
By fully understanding the scope of DevOps in your business, you can extract maximum value when implementing your DevOps initiatives.
The first thing to know is that DevOps is a philosophy that you apply to both development and operations management. It aims to bridge the gaps between these two teams and foster a collaborative development environment.
Here are some misconceptions to avoid:
Creating a “DevOps Team” – Many businesses start by thinking they need to create a dedicated DevOps team. In reality, DevOps brings your development and operations teams together to streamline the development cycle and reduce the meantime to deployment (MTTD).
To bring these two teams together, you should foster a collaborative work culture focused on automation, service quality, and operational stability. As your development team builds services that will be deployed on your network, it’s important to involve both the teams to help identify potential issues. This interdepartmental communication will allow your teams to orchestrate their work, ensuring that software is created within the confines of your infrastructure capacity.
Fixation on tools – While tools built around DevOps can be beneficial, focusing heavily on them can cause friction between your development and operations teams. The difference in your teams' daily workloads means no single tool will have all the functionalities required to appease both sides.
Instead, you should take a software-agnostic approach when promoting a DevOps culture within your company. Try to accomplish more with less and avoid what Gartner describes as “disconnected islands of automation.” More tools will undoubtedly increase access to functionality and the complexity of your DevOps approach that may alienate departments in the process.
Safety and quality trumps speed – One of the most commonly touted benefits of DevOps is the increased speed of service delivery and remediation. With continuous integration and deployment (CI/CD) pipelines, you get instant access to automatic testing and debugging functionality. As this aspect of your development cycle accelerates, it can be tempting to match that increase in speed during real-world deployment.
While CI/CD can improve business growth and agility, you should be wary of sacrificing the security and quality of your software releases. By forgetting these crucial aspects of the development cycle, you run the risk of your new software backfiring and creating more work in the long run. Therefore, even with an automated system in place, you should comprehensively assess your software before release to maintain high levels of quality and security.
Keep your software branches simple – With increased visibility in the development process, it can be tempting to overuse feature branches. This breaks the project into smaller chunks and segments specific feature changes from the master development trunk. This isolated development process creates a lot of overheads as the code needs to be reviewed manually before a request is filed to pull the code into the master development trunk. A developer might spend hours or days on work that would be incompatible when merged with the work that other developers were doing simultaneously in their isolated feature branches.
By centralizing your code and continuously integrating it into the master branch using CI/CD, you avoid this convoluted merge process. You will get instant visibility into potential problems with new code integrations, allowing your development team to stop and collaborate to overcome the problem quickly. By using this approach to minimize the use of feature branches, it will be much easier for your development team to integrate code in real time, ensuring it’s working.
Trianz is a leading DevOps management consulting firm experienced in helping our clients overcome DevOps integration challenges. We can help you foster a collaborative work culture centered around DevOps and its pioneering development and operational philosophies.
Get in touch with our DevOps integration team to start building a collaborative service development culture today.
Contact Us Today
What are the Differences? Though often used interchangeably, data pipelines and ETL are two different methodologies for managing and structuring data. ETL tools are used for data extraction, transformation, and loading. Whereas data pipelines encompass the entire set of processes applied to data as it moves from one system to another. Sometimes data pipelines involve transformation, and sometimes they do not.Explore
One Unified Dashboard In the past, most enterprises would have used a legacy business management system to track business needs and understand how IT resources can fulfill these needs. The problem with these legacy systems is the manual data collection process, which introduces the risk of human error and is much slower than newer automated solutions.Explore
Intelligent automation in the workplace is becoming more relevant in the modern market. As automation technology becomes more refined and smart business models allow business owners to optimize their workflow, more and more are turning to intelligent automation for their internal and client-facing processes alike.Explore
What is a Hybrid Data Center? A hybrid data center is a computing environment that combines on-premise and cloud-based infrastructure to enable the sharing of applications and data across physical data centers and multi-cloud environments. This allows organizations to balance the security provided by on-premise infrastructure and the agility found with a public cloud environment.Explore
Leverage Your Data to Discover Hidden Potential The amount of data in the insurance industry is exploding, and the number of opportunities to leverage this data to achieve large-scale business value has exploded along with it. Rapid integration of technology makes it possible to use advanced business analytics in insurance to discover potential markets, risks, customers, and competitors, as well as plan for natural disasters.Explore
Increased Use of Data Lakes As volumes of big data continue to explode, data lakes are becoming essential for companies to leverage their data for competitive advantage. Research by Aberdeen shows that organizations that have deployed and are using data lakes outperform similar companies by nine percent in organic revenue growth.Explore