Systems | Development | Analytics | API | Testing

Spring Into Confluent Cloud With Kotlin-Part 1: Producers and Consumers

Hey, you! Yeah, you! The puzzled-looking Spring Boot developer, scouring the web for a guide on integrating your microservices with Apache Kafka on Confluent Cloud with Stream Governance. Admit it, you’ve been Googling nonstop for the past hour and all you’ve found are examples using StringSerializer/StringDeserializer with not even the slightest mention of "schema registry-aware" serialization methods. And I bet the examples you found are implemented in Java.

5 Years of Confluent Cloud Connectors: Exploring Your Top Connector Picks

This summer marks five years since we announced our first fully managed connector on Confluent Cloud in 2019, the Amazon S3 Sink Connector. Since then, our connector offerings have not only expanded significantly but also enabled teams to send hundreds of petabytes of data throughput. Today, we support over 80 pre-built, fully managed connectors, custom connectors, and secure private networking.

Appian 24.3 Highlights

Appian brings #orchestration, #automation, and #intelligence together in a secure, performant platform for managing your most complex processes. The latest release of the Appian Platform delivers practical enterprise AI use cases with expanded compliance to help developers build faster, business users work smarter, and organizations prepare for AI regulations.

Faster, More Efficient Queries at a Lower Cost: Snowflake's Latest Performance Improvements

At Snowflake, our product philosophy is centered on a single unified platform, and thus, a single core engine. To support all your workload needs with unmatched performance and efficiency, we continuously enhance and deliver performance improvements on this core engine. This approach allows you to benefit from enhanced performance effortlessly, without incurring additional costs or requiring migrations, upgrades or manual intervention.

Join Ken on SMC Journal - Scaling Kubernetes, Microservices, and Ephemeral Environments

Check out Ken Ahrens and Scott Moore as they discuss some blockers of developer productivity when building in Kubernetes, and how removing environment and data challenges can reduce toil and frustration! You can catch the full podcast on Scott’s page here: Scott Moore: Hey everybody out there in internet meme land. It’s time to hide your kids and hide your wife because it’s time for the SMC Journal podcast. Some of you will get that joke. Others will not.