Systems | Development | Analytics | API | Testing

DORA Metrics for DevOps: Connecting Software Team Results to Business Goals

Measuring DevOps success? You need to use DORA metrics from the DevOps Research and Assessment (DORA) framework. These metrics help software teams get better over time. Think of DORA metrics like the stats used in Formula One racing. In Formula One, teams collect and analyze thousands of metrics before and during each race to optimize car setups, detect potential failures early, and refine strategies for peak performance.

Federated API Management: Balancing Speed and Control

As the need for speed in business can seemingly be at odds with the need for control, organizations developing APIs today face a critical challenge: how can you empower developers to build and deploy APIs quickly while maintaining enterprise-wide governance and security? More traditional API deployment approaches are often to blame for why API initiatives fail to deliver the promised benefits as complexity and scale increase.

Strategy Pattern: Definition, Examples, and Best Practices

Strategy is one of the most well-known design patterns, and luckily, it’s also one of the easiest to understand and use. That doesn’t mean the strategy pattern isn’t valuable. Quite the contrary: this pattern is incredibly powerful in enabling you to write code that is low coupled, easy to read and maintain, adheres to the SOLID principles and the dependency injection pattern. To help you understand the strategy pattern, this post covers the following.

An Introduction to Flask-SQLAlchemy in Python

Efficient management of database interactions is one of the most important tasks when building Python web applications. SQLAlchemy — a comprehensive SQL toolkit and Object-Relational Mapping (ORM) library — is widely used in the Python ecosystem for this purpose. However, integrating SQLAlchemy with Flask can be a complex process. So developers created Flask-SQLAlchemy to provide a seamless way to use SQLAlchemy in Flask applications, making database management a straightforward process.

Real-time API observability: Using Moesif and Heroku Together

Heroku provides a robust platform to deploy and scale your applications. However, inherent complexities within your app’s performance and user interaction remain obscured. Your app may be encountering errors and performance bottlenecks. Moreover, a lack of API analytics and API observability impedes your ability to truly grow your product. With Moesif, you can easily gain that visibility into your APIs on Heroku. It integrates with your Heroku app as an add-on in two simple steps.

Options for passwordless Django authentication

Passwordless Django authentication is gaining popularity as a secure and user-friendly alternative to traditional password-based authentication in Django applications. This article will explore various web authentication systems for implementing passwordless authentication in Django, highlighting their advantages, limitations, and considerations for choosing the right option.

PHP Try Catch: A PHP Exception Handling Tutorial

When PHP 7 came into the market, a lot of improvements were made in error handling. This is because PHP 7 used a robust model to catch exceptions and errors. The latest version, PHP 8 builds on the same improvements along with additional enhancements and features. Handling errors in PHP with try catch blocks is almost the same as handling errors in other programming languages. When a PHP exception is thrown, the PHP runtime looks for a catch statement that can handle that type of exception.

Solving Common REST API Authentication Challenges with DreamFactory

API authentication is hard. Problems like insecure credential transmission, complex OAuth setups, and scaling API key management make it even harder. DreamFactory simplifies these challenges with tools like automated API key management, OAuth 2.0 integration, and JWT support.