APIs have revolutionized every industry. They fuel digital transformation and power the web, making up more than 83% of global internet traffic. And API adoption will only grow, with AI, Web3, and decentralization only further driving API usage and integration. But these sometimes-overlooked enablers of connectivity and communication present a serious security challenge: APIs are increasingly in the crosshairs of cyber-attackers.

Picture this: during a bustling holiday season, a global e-commerce giant faces a sudden influx of online orders from customers worldwide. As the company's data pipelines navigate a labyrinth of interconnected systems, ensuring the seamless flow of information for timely product deliveries becomes paramount. However, a critical error lurking within their data pipeline goes undetected, causing delays, dissatisfied customers, and significant financial losses.

Java undoubtedly is one of the most used programming languages today. Not surprising if you yourself were trained in it. Over the years, it has gained a reputation for being both powerful and efficient. However, like any other language, Java has its share of challenges. And one of these is the problem of memory leaks, and fair enough, there are more myths surrounding it than ways to overcome it. But this blog is all about it.

Imagine you are sending a message to your friend, but you want to ensure that no one else can understand it. So lets say you are encoding your message using a special language that only you and your friend knows. This way, even if someone intercepts the message, they won't be able to understand its true meaning. The encoded message itself is what we call the "payload." In the world of APIs (Application Programming Interfaces), the concept of a payload is quite similar.

Software testing and quality engineering (QE) are critical aspects of successful digital delivery in today’s fast-paced digital landscape. Many digital enterprises face challenges in achieving frictionless experiences, efficiency, and effectiveness in their QE journey.

Step right up, ladies and gentlemen, and witness the grand spectacle of the digital age! In a world where data is king, where information reigns supreme, and cloud data warehouses are multiplying like rabbits, there's a technology initiative like no other— data warehouse modernization! This article is the second in the series "Seven Data Integration and Quality Scenarios for Qlik and Talend," and answers everything you wanted to know about data warehouse modernization but were afraid to ask.

One of the hardest debates is deciding between a code-first API approach or design-first. In an ideal world, we would deliver our APIs at maximum velocity, with minimum maintenance. To maintain the appropriate API consumption, the world has looked at Amazon’s API Gateway as the orchestration of resources to create, deploy, and manage APIs at scale. One of the biggest challenges users face when using any API Gateway is the lack of consistency and standardization throughout the API experience.

Is your organization currently relying on an ELK cluster for log analytics in the cloud? While the ELK stack delivers on its major promises, it isn’t the only search and analytics engine — and may not even be your best option for log management. As cloud data volumes grow, ELK monitoring can become too costly and complex to manage.

In the past decade, chat apps have gone from being a disruptive new technology to something we use every day. Today, WhatsApp boasts over 2 billion daily active users, by far the market leader, followed by WeChat with 1.3 billion and Facebook Messenger at just under 1 billion. Chat apps, put simply, are going nowhere. In that time, customers have come to expect a consistent experience across their chat apps – and a core set of functionality has evolved across all major providers.

ChatGPT is like that cool, incredibly talented artist every band wants to collaborate with. When you need something extra, something that will give your application a bit of zing, that's where ChatGPT comes in. It's got that rhythm that gets feet tapping. This guide will take you step-by-step on how to bring together the text-generating wizardry of ChatGPT with the simplicity and efficiency of Golang, opening up exciting new possibilities for crafting more intelligent applications.