Kubernetes is an open-source container orchestration system for automating deployment, scaling, and management of containerized applications. It groups containers into logical units for easy management and discovery. API gateways sit between clients and microservices. They act as a reverse proxy to accept all API calls, then route and transform requests to appropriate microservice.

Are you still relying on basic stdout and stderr for logging in your Go applications? It's time to level up your logging game! Logging with stdout and stderr can be complex and limiting. Messages lack structure, context, and extensibility, making monitoring and analyzing errors hard. Manual inspection of log file is time-consuming and error-prone, especially as your application grows. But There's a better way. Join us as we explore logging libraries in Go.

Today’s business environment depends on collecting and analyzing a broad range of data. Data integration, therefore, has become critical when consolidating diverse data types. Without data integration, you’re left with siloed information that’s very difficult—if not impossible—to analyze. Comma-separated values play a fundamental role in data integration, especially when you need to join tables that share column names or want to move datasets between analytical tools.

Many businesses are on the lookout for robust alternatives to popular tools like CDATA. Whether it’s due to cost, specific functionality, or compatibility requirements, finding the right tool can significantly impact your data management strategies. Here’s what you need to consider when looking for a CDATA alternative: Table of Contents.

In this article, we’ll be comparing Hasura vs. DreamFactory, two leading platforms in the API management and development space. Both platforms offer features tailored to aid with backend API development, but they cater to different use cases and developer preferences. Here are the key differences between Hasura and DreamFactory: Table of Contents.

With Tricentis NeoLoad 2024.1, we’re excited to announce a groundbreaking addition: native support for Apache Kafka. In today’s dynamic software landscape, IT leaders are prioritizing data streaming investments, with 89% of respondents saying investments in data streaming are important, with 44% citing it as a top strategic priority. Kafka has risen to popularity across multiple industries where real-time data processing and communication are paramount.

Today, we are excited to introduce the latest version of Katalon Studio, designed to transform your testing experience with cutting-edge features and enhancements. Here are the details.

To see what Databox can do for you, including how it helps you track and visualize your performance data in real-time, check out our home page. Click here. “How are we doing?” You want to know how your company (or team) is performing. Are you trending up or down? What’s the improvement from last month? What’s going well, and what should we pay attention to? In short, “How are we doing?” The question is simple and straightforward. The answer isn’t.

In today’s data-driven business environment, the finance team plays a critical role in transforming raw data into actionable insights that inform strategic decision-making. However, the prevalence of disconnected data sources, often referred to as data silos, creates significant bottlenecks that hinder your team’s ability to operate efficiently and generate reliable financial information.

Let's say you own an application program. You wanted to expand its capability and integrated several microservices to do so. Everything works fine, and you will see significant growth in customer traffic. Now, the problem slowly starts building up. You face some customer queries asking for certain fixes. You want to help as much as you can, but unfortunately, you don't know exactly where the problem has occurred. You will have to check the entire thing from the beginning. It feels like doom, isn't it?