Systems | Development | Analytics | API | Testing

As more businesses embrace cloud computing, a very important question comes up: how can we make sure that our digital assets are safe, efficient, and compliant in a dynamic, multi-tenant environment? Even though cloud providers offer strong security, the shared responsibility model puts a lot of pressure on enterprises to keep track of their own data and programs. This is when cloud auditing becomes very important.

Software teams know the drill: deliver faster without sacrificing quality. You’ve heard it before because you live it every day. Testing is often where that pressure hits a breaking point, but it doesn’t have to. At SmartBear, we help developers and testers like you seamlessly integrate automated testing into existing workflows and CI/CD pipelines. That’s why we’ve partnered with AWS CodePipeline to bring powerful, AI-driven test automation to your delivery process.

At Koyeb, we run a serverless platform for deploying production-grade applications on high-performance infrastructure—GPUs, CPUs, and accelerators. You push code or containers; we handle everything from build to global deployment, running workloads in secure, lightweight virtual machines on bare-metal servers around the world.

Amazon S3 became the de facto standard for storing objects due to its cheap price, and it’s designed for high durability, with a 99.999999999% durability guarantee. We can talk a lot about Amazon S3, but today in this blog, let’s see how to upload a file to S3 using the REST API. I hope most of you have tried using the SDK approach with boto3, but today let’s see the different ways to upload a file to S3 using the REST API and guess what, we’ll see a demo as well.

Today, we're thrilled to announce the public preview of Light Sleep. Waking up from Scale-to-Zero is now imperceptible for CPU workloads with sub-200ms cold starts. A few months ago, we announced the first iteration of Scale-to-Zero on the platform to reduce idling costs. With Scale-to-Zero and Autoscaling, apps sleep and wake up automatically on demand based on requests, and scale out horizontally according to your criteria.

I had the opportunity to attend the AWS Summit New York 2025 at the iconic Jacob Javits Center in July. The event brought together thousands of cloud enthusiasts, developers, and business leaders to explore the latest in generative AI, cloud innovation, and real-world applications across industries. From major announcements and product launches to immersive sessions and after-hours networking, the Summit delivered both inspiration and insight.

Post-migration testing is not optional - it’s essential to ensure your systems work properly after moving to the cloud. Skipping this step can lead to data corruption, performance issues, and security vulnerabilities, which can disrupt operations and lead to costly fixes. Here's what you need to focus on.

This is the second post in our series exploring the architectural innovations that make Confluent Cloud more cost-effective at scale. Building on our previous post about the operational complexities of Apache Kafka and our cloud-native architecture's solutions, we'll now dive into how we solved a core challenge for any data streaming workload: high cloud networking costs.