As planning for software projects is already in full swing for the new year, it is important to be mindful of trends that are sure to impact software development. These trends for 2019 aren’t coming out of the blue, in fact, they have been quickly gaining steam in the industry over the past years. In 2019 these trends will be more impactful than ever, meaning it is vital to consider them for any software build. As always, feel free to reach out to the team at Enola Labs if you have any questions!
If you paid any attention to the news over the past year, you know that cybersecurity is starting to finally be taken seriously — especially after a string over cyber attacks around the world in 2018 that threatened the systems people rely on every day.
CTO of Enola Labs, Marcus Turner, wrote an article featured in Forbes about one of these attacks and how companies should best shore up their defenses (hint: migrate to the cloud). Cybersecurity will continue to be a huge focus for all businesses small and large in 2019 and should be emphasized throughout any software build.
Serverless architecture refers to the development of software that does not require the customer to support servers and the infrastructure involved with servers to host the backend code. Instead, the software is built in a serverless environment and hosted in the cloud so that the customer simply pays a hosting fee each month. Think of this like a “backend as a service” model.
The state of serverless architecture is strong, and Enola Labs predicts serverless architecture will be the go-to environment in software development, as it maintained a strong growth rate for all of 2018. The greatest benefit to serverless architecture? Cost-effectiveness. Serverless architecture requires less engineering, has lower operational costs, and greater ease of use for companies to keep up with.
Machine learning is a branch of the very trendy topic of Artificial Intelligence (AI). Machine learning is a method of analyzing data through algorithms in order to recognize patterns and trends and eventually adapt to that data and “learning”. While AI and machine learning were hot buzzwords in 2018, the real challenge lies in leveraging machine learning so that many businesses can benefit from the technology.
With that said, 2019 is expected to see a rise in machine learning incorporated into various software we interact with every day. From digital assistants that can help you find what you are shopping for online based on your activity on the website, to credit card companies embedding machine learning technology to identify fraud — we expect machine learning to continue making strides in various software.
Enola Labs was busy in 2018 with several cloud migration projects, and expect this to be a very common practice in 2019 and beyond. As more and more businesses are starting to see the benefits of migrating to the cloud, from cost-effectiveness to scalability, flexibility, and security — it is no wonder people are moving away from their legacy systems.
AWS is still the leader in the cloud computing space, and it will most likely continue to dominate this space even with other competitors gaining popularity. When beginning to think about cloud migration, be sure to work with an AWS consulting partner to ensure the project is properly planned so that all the right services are utilized and so that business processes are not disrupted.
What software projects do you have in the works for 2019? Enola Labs looks forward to helping you bring your software ideas to life in 2019. Whether you need a new software build or are looking to migrate to AWS, we’re ready to help.