Systems | Development | Analytics | API | Testing

Whether you’re streaming change data capture (CDC) events from MongoDB to Apache Kafka or sinking high-velocity data from Kafka into MongoDB for analytics, the following best practices ensure a secure, performant, and resilient architecture. This technical deep dive covers implementing the MongoDB Atlas Source and Sink Connectors on Confluent Cloud.

Your Kafka Doesn't Have to Live Behind a Wall There's a problem that almost every platform team running Kafka at scale eventually hits, and it usually starts with a reasonable ask: "Can you give our partners access to this event stream?" What follows is rarely simple. You start scoping VPC peering. Then someone asks about firewall rules. Then you realize each new external consumer is going to need its own network arrangement.

Enterprise development teams face mounting pressure to deliver secure, performant APIs while managing complex distributed architectures, strict compliance requirements, and accelerating release cycles. The API testing platform an organization chooses directly affects product quality, team velocity, and regulatory risk. Functional validation, security testing, performance testing, and CI/CD integration must all scale across global teams without introducing governance gaps.

Remote debugging is the most reliable way to grasp what’s really happening inside a mobile app once it’s out in the wild. We’re talking crashes that never appear in development, and issues from users that can’t be reproduced locally. If you ship mobile apps, you’ve been vexed by these problems at some point.

Qlik’s lessons learned from developing systems in a locked-down military-grade data zone at the 2025 NDIA Hackathon In early September, developers from across the country arrive at George Mason University’s Fuse facility with laptops, notebooks, and one big unknown: how do you build a defense-grade analytics solution in just 72 hours in a simulated air-gap environment.

The traditional web can't fulfill the promise of ownership and openness that decentralization promises. But the Web3 space has a big problem: not enough trust. People are afraid to link their wallets or make transactions on new platforms because of so many instances of smart contract attacks, frozen funds, and poor user experiences in the past. For every business that wants to build in this area, quality is more than simply a technological need.

There's a common belief in the observability space: if you just collect more data, you'll have what you need to debug any issue. The reality is more frustrating: even with 100% unsampled observability, you're still missing critical debugging data. There's a common belief in the observability space: if you just collect more data, you'll have what you need to debug any issue. The reality is more frustrating: even with 100% unsampled observability, you're still missing critical debugging data.

In the enterprise technology landscape, consistency is often the hardest metric to maintain. At WSO2, we view our customer feedback as a critical North Star, guiding our commitment to providing transparent, high-performance API, integration, and identity solutions. We are pleased to announce our latest customer survey results for the second half of 2025 (H2). These figures not only reflect a successful six-month period but also cap off a year of remarkable stability in our global customer relationships.

BigQuery autonomous embedding generation treats embeddings as a managed part of your table, making it easier to get your data AI-ready.

Use the Conversational Analytics API to build context-aware agents that understand natural language, query BigQuery data, and deliver answers in text, tables, and visual charts.