Data is critical to the operations of many businesses. But scaling your data can prove challenging, depending on the resources you have available. Like everything in business, there is a time and money cost. This makes having a DevOps team that remains agile under fast data growth essential. Because as you grow, your data grows.
The good news is that your data growth can be managed with a few important steps and tools. Mainly in the space of your DevOps team. This means keeping your finger on the pulse of long-term stability under quick growth. And if you’re looking at a big data approach, you’ll need a strong team that can compile, analyze, and make use of data to ensure real-time, on-point business decisions.
DevOps plays a major role here. “The intention of DevOps is to create better-quality software more quickly and with more reliability while inviting greater communication and collaboration between teams,” DZone explained.
To overcome many growth challenges when it comes to data and big data, you can employ a variety of data growth hacks. From redefining culture among your DevOps team to providing accessible development tools, it’s all about strategy. Let’s take a deeper look!
1. Redefine DevOps Processes and Overall Culture
Taking a step toward redefining your overall culture can significantly help you grow your data, especially when it comes to your DevOps team. In fact, approaching your data growth from the DevOps side first can ensure all areas grow insync throughout the entire development environment.
To grow your data, you’ll need to get out of the small team mindset. Because as your company grows, data grows. And as data grows, so does the team that needs to manage it. Bring your DevOps team up to speed and make it a cultural thing, not simply about business processes.
2. Give Your DevOps Team The Right Development Tools
Before data growth gets too far in front of you and your team, you need to have the right development tools in place to ensure your DevOps team can do their work effectively and efficiently. DevOps professionals know the value of the right tool or platform, and to scale data, you’ll need those tools in place, and fast.
For example, Docker registry with Rest API serves up an end-to-end solution for your DevOps team to manage development projects, vulnerabilities within code, analysis, and artifact flow and distribution.
3. Ensure Everything Is Accessible
You can have the most talented team and the most innovative development tools and platforms at your disposal. But if they are not accessible, the work will grind to a snail’s pace. And beyond access, development tools and platforms need to have an ease of use that any team member can quickly pick up and utilize.
Having Docker containerized application development, for example, can give your DevOps team next level collaboration. And a way to automate deployment of software too. Make all tools accessible, but within reason. You also want to ensure access is given to the right people to avoid creating security vulnerabilities.
4. Make Data Growth About Value For Everyone
Data growth needs to be part of every conversation, ensuring that everyone feels included in the growth of the company. You should always express the value your DevOps team is bringing to the table. But even more so in times of fast growth. It’s about showing appreciation.
And when you have a team that knows the value they are bringing, and they feel empowered and part of the big picture, they will work harder. This can save you time on projects, money, and additional resources.
5. Accountability Is Critical
When your team grows, maintaining a strong sense of accountability can be very challenging. You may have been the team lead before, when your business had a handful of developers. But now, with a DevOps team growing, potentially outsourced, accountability becomes more important than ever. So amping up accountability is critical.
In order to make accountability a priority to grow your business data, you’ll need to allow both success and failure within your development environment. Allowing those to fail gracefully will give developers peace of mind, and they will bring issues and mistakes before they get out of hand.
Wrapping Up . . .
If you are ready to scale your data, as well as your business and DevOps, the above may prove pretty useful. However, these five data growth hacks are only the tip of the iceberg. There are certainly other data growth hacks to consider. Ready to scale?