For years, businesses around the world have used big data to track things like consumer behaviors and market trends. Utilizing the power of data allows a business to create a competitive edge. Considering that daily Internet users generate around 2.5 quintillion bytes, harvesting and utilizing this information can be difficult.
Rather than collecting data without verifying it and checking it for errors with a log management tool, you need to be smart with your approach to data. Not only will you need to verify data, you also should find new and innovative ways to use the information you get. Some business owners fail to realize the common thread between DevOps and big data.
DevOps and the continuous delivery principle it is built upon is used to make things like software and app production faster and more efficient. Taking this same principle and applying it to the work data specialists perform is also a good idea.
Read below to find out more about why using DevOps in big data is a wise move.
Use Data to See Where Software and App Improvements Can Be Made
The main goal most app and software development companies have is putting out the best possible product. One of the most important pieces in the DevOps process is continuous testing. With adequate and continuous testing of a program, developers are able to see where problems exist and how to fix them.
However, this testing will only go so far after the app or software program has been released. Collecting data is the best way to see where a particular app or software program is falling short. This data will usually include things like customer feedback and reviews. Seeing what problems your audience is having with the program can help you greatly.
You also need to collect other data regarding memory usage and CPU time when attempting to assess how well a new program is performing. Mixing data analytics and the DevOps feedback process is the only way to avoid problems with a new technology creation.
Adequately Planning Software Updates
As any software or app developer knows, a program is only as good as its last update. The software and apps your company releases will interact with data regularly. Before you create and launch updates for programs, you need a firm understanding of the data it will be working with.
The last thing you want is for the updates you release to not protect any sensitive information collected by a program. The only way to avoid this is by allowing developers to work hand in hand with data experts. The more your developers know about the data being used by an app, the easier it will be for them to create comprehensive and useful updates.
DevOps success hinges on collaboration. This is why encouraging the various members of your team to work together is vital. Using an “all hands on deck” approach to the program development and update process can benefit you and your company greatly.
Create a Better Sense of Consistency
Another DevOps principle you need to abide by is that development environments need to closely mimic real-world situations. If the app or software program you are constructing will interact with data regularly, it can be hard for run of the mill developers to create the right production environment. Working with experienced data specialists is the only way to ensure these production environments include a wide array of data types.
Throwing everything you can at the app or software program during the development process will help you ensure it is ready for mass consumption. Allowing your development and data management teams to work together can help you prepare a new program for real-world situations. Without this partnership, you run the risk of providing consumers with a product that will not be secure or reliable. Not only can this affect the popularity of a program, it can also tarnish your reputation in the technology industry.
Embracing Collaboration is a Must
At the crux of DevOps and data management success is collaboration. Providing an environment that makes it easy for members of your team to work together is imperative. While the road to DevOps and data management success will be bumpy at first, you and your team will eventually find a way to make these practices work.