This article will set up a basic Spring Boot app that incorporates Apache Camel to move some sample files around.
If you are like me, you find that flat-file processing can be pretty dry. Considering what Apache Camel does, its name is very fitting. While there are plenty of reasons for the name, it definitely makes sense that Apache Camel does a lot of lugging things around for you…
While working on a recent project at a client, we had the opportunity to refactor some data extracts that were using a commercial Excel writing library, which we then converted to using the Apache POI Library for Excel. These data extracts were reports that included some calculated values, and depending on the client, were required to be password protected. When completed, the reports would be emailed to the recipients configured for each client.
In this post, we discuss the challenge of delivering protected Microsoft documents via email. We introduce a Java code solution for emailing password-protected Excel files when using the Apache POI Library.
Some of the required calculations we chose to implement using Excel formulas. Implementing formulas wasn’t a hard task and worked for what was needed.
When an application struggles to keep up with user demand, slow response times can frustrate users and impact business performance. Without proper optimization, heavy traffic can lead to slow load times, system crashes, and lost opportunities. At Keyhole Software, we specialize in helping businesses optimize API performance for high-traffic applications to ensure their systems remain fast, reliable, and scalable. In …
Case Study: Digital Transformation of Production & Order Management Client: A leading manufacturing company Industry: Manufacturing & Industrial A team of skilled Keyhole Software developers is collaborating to modernize production and order management for a manufacturing client by replacing manual, spreadsheet-based workflows with tailored digital solutions. The ongoing initiative leverages a combination of Java, Spring Boot, Electron, React, and automation …
In the software development space, RAG solutions are being used to enhance productivity and streamline processes. By indexing and searching the entire codebase of a project, these solutions provide relevant, context-aware results from an LLM. Instead of simply suggesting code snippets, RAG-based tools can analyze and generate entire use case implementations across multiple programming languages. The result is a significant boost in productivity, enabling software teams to work faster and more efficiently.
