Systems | Development | Analytics | API | Testing

We live in a highly interconnected world, and that interconnectedness couldn’t have existed without the tremendous contributions from the telecommunications industry. With 5G technology finally becoming mainstream, IoT growing at a rapid rate, and AI tech gaining prominence, the telecom industry is surely up for an exciting future. This faster-than-ever growth comes with the need for robust, continuous telecom testing to always maintain a high standard of service quality.

Application programming interfaces (APIs) serve as the backbone of today’s digital economy. They connect applications and web services with each other to exchange information and deliver thousands of digital experiences to users every day. With such significance, APIs can’t afford to be buggy, and software testers must frequently test them to identify and address potential issues. However, there’s a catch. Sometimes an API is not fully developed, or is simply too expensive to access.

Integrate.io, a leading no-code data integration platform, is proud to announce its achievement of the prestigious Google Cloud Ready - Cloud SQL designation. This recognition underscores Integrate.io's unwavering commitment to delivering a robust and secure data integration platform for Google Cloud SQL customers. Google Cloud Ready - Cloud SQL is a highly regarded program designed to assist customers in identifying and utilizing validated partner integrations with Google Cloud SQL.

Excellent performance is key for any application, regardless of the framework or language. Today’s digital consumers demand speed and precision, and will quickly quit a sluggish app. That's why performance monitoring, especially Real User Monitoring (RUM), is important for every developer to implement. We recently launched RUM for BugSnag, providing developers the visibility they need to ensure great application performance.

Large language models (LLMs) are all the rage, fueled by the release of OpenAI's ChatGPT in late 2022, initially powered by the LLM GPT-3. Aside from the news hype, what can LLMs actually, getting-down-to-brass-tacks, nitty-gritty do for your business? Here, we’ll look at three examples of problems they can solve. But first, a quick definition of LLMs.

In Part One of our “Inside Flink” blog series, we explored the critical role of stream processing and why developers are increasingly choosing Apache Flink® over other frameworks. In this second installment, we'll showcase how innovative teams across every industry and size are putting stream processing into practice – from streaming data pipelines to train ML models or more timely analytics to fraud detection in finance and real-time inventory management in retail.

In the digital age, data transfer is integral to operations for businesses of all sizes. While Extract, Transform, and Load (ETL) processes have become fundamental for moving raw data to destinations like data warehouses, the protocols you use to transfer these files can impact the efficiency and security of the entire operation. Dive into our comprehensive guide, as we shed light on the most popular file transfer protocols and their relevance in today's tech landscape.

In an era where data security is crucial, understanding the robustness of our data transfer protocols is paramount. As businesses prioritize effective reporting, analysis, and insight gathering, the Extract, Transform and Load (ETL) process plays a pivotal role. This process gathers data from various sources, aiming to store it securely, often in a data warehouse. One method, Secure File Transfer Protocol (SFTP), has been an industry standard for over two decades.

From concept to execution, join me on a step-by-step journey through the process of crafting your own functional Ruby gem.

Since our last Kong Ingress Controller release, we’ve been working hard, and today we’re pleased to announce the immediate availability of Kong Ingress Controller 2.11. KIC 2.11’s standout feature is “last known good configuration”, which allows you to scale your data planes out even if you have a broken configuration on your Kubernetes API server. That’s a strange sentence to write, but it happens more than you’d think.