Systems | Development | Analytics | API | Testing

Rate limiting and throttling are two key strategies for managing API traffic in multi-tenant systems. While both aim to maintain performance and prevent misuse, they work in different ways: Rate Limiting: Sets strict caps on the number of requests a user can make within a specific time frame. Extra requests are rejected outright with an HTTP 429 status code. Throttling: Dynamically adjusts request processing speeds based on system load. Extra requests are slowed down or queued rather than blocked.

We're excited to announce the general availability of Konnect Debugger, formerly known as Active Tracing during its tech preview phase. This powerful debugging and observability solution in Kong Konnect has evolved from a focused tracing tool into a comprehensive debugging platform.

Since GDPR rolled out in 2018, enforcement has intensified. In 2023 alone, EU regulators levied roughly €2.1 billion in fines for non-compliance. That includes a jaw-dropping €1.2 billion strike against Meta for unlawful data transfers between the EU and the U.S., marking it the most significant GDPR penalty. Let’s be real. Data is serious business, and building software without GDPR compliance is like launching a bank without a vault.

Ever wondered why some software projects soar while others stall out? It’s not just the tech stack, it’s the game plan behind it. With the global software development market projected to hit $570 billion in 2025 and growing at 12.9% CAGR, picking the right development model isn’t just smart-it’s survival.

DreamFactory simplifies SAP HANA integration by automating API creation, eliminating the need for complex custom development. It supports seamless connections between SAP HANA's OData services and other applications, ensuring secure data access and improved efficiency. Here's how it works: What It Does: DreamFactory generates REST APIs for SAP HANA, enabling CRUD operations on data without requiring deep technical expertise. Key Features: Automated API creation for SAP HANA data.

Would you believe me if I say there is a development methodology that considers changing requirements and technical risks as part of the process instead of obstacles to be overcome? Sounds crazy, right? That’s exactly what I thought about the Spiral Model until I took a closer look. I’m not saying it’s perfect for every project or that we should all use it. But for certain types of projects, the messy, uncertain, high-stakes ones, it may be just what you need!

Not every failure is a bug and not every bug is what it seems. Sometimes, a test fails without warning. No code changes, no environment issues, just a red mark where there should be green. You rerun it, and it passes. These are flaky tests. And they do more than create noise. They drain team time, stall releases, and make it harder to trust automation at all. Left unchecked, they quietly become one of the most expensive problems in testing.

When developing iOS applications, creating an IPA file is a crucial step in distributing and testing your app. But managing this process—especially across development teams—can become tedious and error-prone if done manually. In this post, we’ll explain what an IPA is, why it matters in CI/CD pipelines, and how you can seamlessly generate, sign, and distribute IPA files using Bitrise automation.

Amazon Web Services (AWS) had a well-documented failure of the S3 service in its US East region this week. The knock-on effects of the S3 outage took out many of Amazon’s other services and caused serious and long-lasting outages for many high-profile services including Quora, Trello, GitLab, and many others. Overall Amazon provides an outstanding set of services, and as anyone knows these things happen, the key is to architect your solution so that it can tolerate these kinds of failures.