Systems | Development | Analytics | API | Testing

Software developers tend to work in packs. We pool our creativity (and our code) to build software and our strength in numbers helps reduce the risk of errors. The more people who check code and scan for bugs, the cleaner our final product will be. However, this places a premium on effective communication. We will end up accessing, reading, writing and changing the same files over and over again, and it’s vital we keep duplication of work to a minimum.

To be good stewards of taxpayer dollars, state and local governments conduct market research and perform due diligence before purchasing a software solution. Commercial off-the-shelf (COTS) products are often positioned as offering the best price tag and the fastest deployment. However, the promise of a speedy installation often goes unmet.

Have you ever wanted a quick and easy way to monitor your Docker environment? Do you want to have an API monitor with minimal configuration? Well it looks like there has never been a better time to monitor your API as there are currently a plethora of awesome tools out there to help us with monitoring, such as Prometheus and Grafana.

Economics in the digital world has evolved in parallel with those of the physical world — moving from a focus on products to services and, now, experiences. Joseph Pine and James Gilmore first introduced the concept in their book, “The Experience Economy.” There they observed that “getting personal with customers is the DNA of the Experience Economy.”

JSON is among the most popular data exchange formats, while Go is mainly used for software development. In Go, the encoding/json package provides built-in support for encoding and decoding JSON data. With this package, Go programs can easily read and write JSON data to communicate with external systems, such as web services or databases, or to exchange data between different components of the same program.

When building APIs for the first time, it is important to understand error status codes and how they impact the overall performance of the API. Error status codes are essential for ensuring that the API is functioning correctly, communicating errors and warnings to the user or system, and providing a seamless experience. It is important to understand the different types of error status codes, what they mean, and how to interpret them so that your API will function properly.

Git LFS — also known as Git Large File Storage — is used by many teams to manage and store large files. Here, we break down what Git LFS is, what it does, when to use it, and more.

DynamoDB is a fast and performant NoSQL database for creating highly available web applications. This article explores how to interact with DynamoDB in Python using the Boto3 library and covers in-depth concepts such as concurrency, leader model, throttling, and more.