Systems | Development | Analytics | API | Testing

How to Analyze Data from a REST API with Flink SQL

Join Lucia Cerchie in a coding walkthrough, bridging the gap between REST APIs and data streaming. Together we’ll transform the OpenSky Network's live API into a data stream using Kafka and Flink SQL. Not only do we change the REST API into a data stream in this walkthrough, but we clean up the data on the way! We use Flink SQL to make it more readable and clean, and in that way we keep more of the business logic away from the client code.

Heroku + Moesif: Unleashing Deep API Analytics for Your Applications

With API-driven applications being increasingly common, understanding how your APIs are performing is crucial for success. That’s where the combination of Heroku and Moesif allows developers and their organizations to step up their observability game. In this blog, we will quickly examine how you can integrate Moesif with your Heroku app to begin monetizing and analyzing your API traffic. Let’s kick things off by taking a brief look at both platforms.

The Ultimate Guide to API for Developer Productivity

In this guide, we help you navigate the API landscape with confidence as a developer. This no-nonsense guide spotlights RESTful, SOAP, and GraphQL APIs and their roles in optimizing your projects. We discuss best practices and integration strategies that can refine your development toolkit, helping you build resilient, interconnected software systems with ease.

Automating API Delivery with APIOps and Kong

As organizations build more APIs, manual processes and frequent handoffs in the API development workflow can lead to a slower time to market, higher development costs, and poor-quality APIs. They can also result in APIs being poorly documented, causing poor API adoption and lower revenues. APIOps aims to address these issues by automating the entire API lifecycle, leveraging DevOps and GitOps principles. But what is DevOps, and what is GitOps?

API Management is Fundamental to Modernizing Insurance Operations

The concept of insurance predates the printing press and the steam engine. So it's likely no surprise that the industry — as obviously adaptable as it is — often faces challenges related to the modernization of legacy systems. In the age of AI and APIs (application programming interfaces), streamlining operations and modernizing are paramount to success.

Announcing Moesif API Analytics and Monetization For Gravitee.io

We are thrilled to announce that Moesif now offers full plugin support for Gravitee.io! This new integration provides Gravitee.io users with advanced API analytics and monetization capabilities, empowering you to gain deeper insights into your API usage and optimize your API strategy. Whether you’re looking to monitor performance, understand user behavior, or implement flexible monetization models, Moesif’s robust feature set is now at your fingertips within the Gravitee.io ecosystem.

Calculating the Cost of Your Business's Digital Transformation

Digital transformation has the potential to streamline your business processes, lower operational costs, improve customer satisfaction, and contribute to revenue growth. Once you build a digital transformation blueprint and follow the steps, you will have a business positioned for long-term success. Although digital transformation projects can help you save a lot of money in the future, you still have to pay for digital technology that leads to cost savings.

How to Turn Any SOAP Web Service into a REST API

There are two types of remote web services: REST APIs and SOAP APIs If you want to wrap a SOAP API and make it easier to work with through the use of REST endpoints, this simple tutorial will enable you to achieve that goal. With this process, you'll be able to make a request with JSON to the API and receive a response in JSON instead of a long-winded XML format.

How to Identify and Manage Software Testing Risks

As software releases are expected to happen faster, testers are placed under more pressure. Pressure to find and eradicate bugs earlier in the release cycle, to avoid them being costly and delaying release timelines. That said, if companies want to stay ahead of the competition, it's important from the outset their testing processes are free from risks and vulnerabilities. Can automated testing best ensure thorough validation? How can team procedures proactively avoid risk?

Unit Testing In Python Is Way More Convenient Than You'Ve Thought

As software developers, we all write lots and lots of lines of code while building an application. But to ensure that each and every components work perfectly in the software, we really need to do some unit testing. This ensures proper functionality and reliable performance of our product. These testing of individual components is known as Unit Testing. For the dynamic nature and the ease of writing tests alongside the code, Python can be a viable option for unit testing of our software.