Systems | Development | Analytics | API | Testing

In this tutorial, you will learn how to work with the gRPC Golang library for microservice communication by creating a simple note-taking application. You will generate a gRPC client that is highly efficient and has a service implementation that handles a diverse range of request and response types. APIs and service-to-service communication are what make modern microservice architecture possible.

Did you know that 52% of marketers say maintaining an active presence across multiple social media platforms was their biggest challenge in 2024? With billions of users across Instagram, LinkedIn, TikTok, and Facebook, the stakes for brands have never been higher. But trying to manage all these platforms without the right tools? That’s burnout waiting to happen.

Imagine you’re testing a specific feature in an app, say the login page. You’ve already run your test cases, and things look fine, but you want to go further. What if you hammer this one feature repeatedly, trying to break it by using unexpected inputs or extreme scenarios? Gorilla testing is an approach that is preferred when we are trying to understand in depth about a particular functionality.

Today, the demand for high-quality applications has never been greater. Agile methodologies, coupled with the rise of continuous integration and delivery (CI/CD), have significantly increased the frequency of software releases. Companies now deploy updates daily or even multiple times a day, placing immense pressure on QA teams to ensure reliability without slowing down the development pipeline.

APIs have never had more connections and requests for data. With variable data types, changing programming languages, and a demand for high performance, even with an increased focus on authentication mechanisms and data security, it’s never been more critical to figure out the efficiency of your systems. Enter GraphQL and gRPC.

Discover how to efficiently mask SQL data at scale. Explore the best practices based on our extensive experience with large enterprises. Almost every enterprise has SQL databases, which means they need SQL data masking. Some SQL databases have built-in masking options, such as Microsoft SQL Server dynamic data masking. But is that the right approach? And what about all of your other databases and data sources?

This post was originally published in June 2023 and has been updated for comprehensiveness. Steve Jobs famously remarked that the way to boost programmer productivity is to create apps with less code. The market has finally caught up with his vision.

Access control, also known as authorization, is a critical aspect of application security that ensures users can access only the resources they are permitted to use. And a failure in access control,- can lead to unauthorized data exposure, privilege escalation, or system compromise. Imagine, What if the keys to your house were lying in plain sight, allowing anyone to walk in? That’s exactly what broken access control feels like for hackers.

The world of business intelligence (BI) and analytics has evolved from descriptive to predictive, and now, to generative. Generative AI, a cutting-edge technology, is making its mark in embedded analytics solutions. These powerful AI analytics tools are assisting business users in analyzing their data sources more quickly and easily, generating new data sets for deeper insights, and helping make the embedded BI experience more accessible for more people.

APIs might not always be in the spotlight, but they’re the unsung heroes of just about every modern software project. APIs make it possible for different apps, services, and platforms to talk to each other seamlessly. When an API falters, so does the entire system. That’s where REST API testing comes in. It’s not just a box to check off—it’s the key to making sure your services are dependable, secure, and prepared to handle the unexpected.