Many of us have experienced long-standing issues with a particular product component (ugh! that one checkout cart feature) or the product as a whole. If the product is customer-facing, this can have serious ramifications for your customers, company reputation, and profit margins. If the product is internal facing, it can impact workflows and employee efficiency.
Migrating legacy data to a new application can be intimidating. Your old data isn’t going to fit perfectly in your new model. By following the steps below, you can ensure a smooth transition to your new application and wave goodbye to the legacy structure that is weighing you down.
There’s an old saying among business leaders that also applies to software development teams: you need to work on your business, not in your business. The grind of daily work often leaves developers with little time to create more strategic and structural plans required to accomplish core business objectives. Without a focus on the foundation of your processes and practices, there is the risk of making all of that day-to-day work less effective than it could and should be.
Some dev teams have the flexibility to hire a specific person to focus on those structural, strategic issues. A small portion of them are able to stick to that division of labor, even in the face of immediate business needs, which is great. However, many teams benefit greatly from partnering with an outside software consultant to help them with the strategic analysis of the codebase, systems, and development practices. A consultant’s role is to help you find the best practices that make your processes and jobs more efficient and effective going forward.
Here are three ways a third-party code audit from an experienced software consultant can benefit your team in the long run.
There’s a growing trend among developers to shift applications from the traditional monolithic architecture to the more agile and flexible microservices architecture. One common approach to making the transition is the Strangler pattern, where microservices replace small pieces of functionality until the legacy system is finally decommissioned. This pattern minimizes migration risks and simplifies the process, but it can get complex to run both architectures concurrently.
AWS has two messaging tools that make using the Strangler Pattern more manageable – Simple Notification Service (SNS) and Simple Queue Service (SQS). This article outlines what these tools are and how they help keep distributed databases in sync.
Businesses are complicated - they have intricate processes, are continually evolving, and need to be scalable. For companies that rely on software as a core component of the business, that complexity is typically reflected in their business-critical software applications.
One strategy that maximizes value and minimizes software complexity is using a business rules engine that encapsulates business-specific logic and keeps it separate from the rest of the application code. Here is more information about what a business rules engine is and how it can benefit your business.