In this blog post, we'll talk about how to implement API product tiering, a powerful way to customize access, control usage, and monetize APIs. This model can help you scale efficiently while maintaining a smooth user experience. Read on to learn more! We'll be talking about how to implement API product tiering with Kong Konnect, an API lifecycle management platform designed from the ground up for the cloud-native era and delivered as a service.

Organizations generate vast amounts of data daily during various business operations. For example, whenever a customer checks out out at a retail outlet, data such as the customer identifier, retail outlet identifier, time of check out, list of purchased items, and the total sales value can be captured in the Point of Sales (PoS) system. Similarly, field sales staff may record possible sales opportunities in spreadsheets.

Keep users informed and engaged with Ably's expanded push notification support. We're thrilled to announce that Ably Pub/Sub now supports web push notifications, in addition to our existing support for iOS and Android devices. With just a few lines of code, developers can easily integrate web push into their applications, providing a seamless and unified experience across all major platforms.

Every software application undergoes rigorous functional and non-functional testing to meet business requirements. When we talk about delivering top-tier software, performance is key. How fast does it run? How stable is it under pressure? Can it scale with growing demand? Does it remain reliable when pushed to its limits? These questions are at the core of performance testing, and that’s where benchmark testing steps into the spotlight.

Have you noticed how quickly the retail industry is changing? It's all thanks to digital transformation, which is happening at an incredible pace. We bet you're curious about why this shift is happening and what's driving it. Don't worry, you're not alone in your questions. Many people are wondering about the same thing. With each passing day, we see new technologies and IT solutions being adopted by retailers to stay ahead of the competition and offer better user experiences.

Are self-driving cars safe? The software in modern cars contains more than 100 million lines of code that enable many different features — cruise control, speed assistance, and parking cameras. And, the code within these embedded systems only gets more complex. This trend will continue as cars of the future become more connected. Cars are increasingly dependent on technology. And they will progressively become more autonomous — and ultimately self-driving.

Sidekiq is one of the most popular open-source background job libraries for Ruby. As one of ActiveJob's most popular backends, it's often used to run asynchronous jobs in Rails applications. It leans on Redis to manage queues and jobs, which makes it fast. Developers can run background jobs using Sidekiq with or without ActiveJob, and we'll explore both in this article. Just as useful - Sidekiq scheduled jobs allow you to run a job after a given amount of time or at a given time.

Companies are under pressure to deliver faster innovation, enabled by cloud-based data analytics and AI. In order to deliver faster business value, data teams are looking to achieve speed and scale through data and AI pipeline performance and efficiency. A recent MIT Technology Review Insights report finds that 72% of technology leaders agree that data challenges are the most likely factor to jeopardize AI/ML goals.

For enterprises relying on SAP systems, ensuring smooth operation through updates, integrations, and daily operations is crucial. Manual testing of these complex systems increases time to market and the likelihood of human error. The solution? SAP testing automation, which enables faster, more reliable testing, ensuring your business-critical processes run smoothly without bottlenecks.

Artificial Intelligence (AI) has become an inseparable part of our lives, revolutionizing industries, transforming workspaces, and influencing how we interact with technology. From virtual assistants like Siri and Alexa to advanced machine learning algorithms driving breakthroughs in medicine, AI is everywhere. But as AI continues to evolve, a growing question lingers: Is AI making us smarter or more dependent?