Navigating the intricacies of Apache Kafka just got a lot more intuitive. With Lenses 5.3 we bring you peace of mind, regardless of where you are in your Kafka journey. Our newest release is all about smoothing out the bumps, and making sure you're equipped to handle Kafka's challenges with confidence. Here's a sprinkle of what's in store, ahead of our big 6.0 release later this year.
We like to reduce the most mundane, complex and time-consuming work associated with managing a Kafka platform. One such task is backing up topic data. With a growing reliance on Kafka for various workloads, having a solid backup strategy is not just a nice-to-have, but a necessity. If you haven’t backed up your Kafka and you live in fear of disaster striking, worry no more.
An effective data platform thrives on solid data integration, and for Kafka, S3 data flows are paramount. Data engineers often grapple with diverse data requests related to S3. Enter Lenses. By partnering with major enterprises, we've levelled up our S3 connector, making it the market's leading choice. We've also incorporated it into our Lenses 5.3 release, boosting Kafka topic backup/restore.
With Choreo as your internal developer platform, taking your code to production has never been easier without worrying about the complexities needed to run a production-ready system.
The rapid growth of cloud native applications that are smaller, more distributed, and designed for highly dynamic environments has turned API gateways into indispensable intermediaries for driving digital initiatives. At the same time, the emergence of the Kubernetes Gateway API, with support from the Envoy Gateway project, is driving a shift towards standardization and interoperability.
AtScale enables Google Cloud users to build a single source of governed analytics to enable self-service business intelligence and data science programs.
How Windsor.ai, a Google Cloud Ready - BigQuery partner, helped Anything is Possible to build an automated pipeline into BigQuery.
When transferring data, especially in the context of Extract, Transform, and Load (ETL), the choice of protocol matters. Both SFTP and FTP provide solutions, but their intrinsic differences could greatly influence the outcome in terms of security and functionality. Here's everything you need to know about SFTP vs. FTP for ETL.
You can find the issue by reading the stack trace after a program fails. A stack trace, however, only reveals the status of the application at the time of failure and not before the error was met. Logging packages can help with this. They provide specifics about the behavior of the program before the failure and transmit them to the location you specify, such as a file or a monitoring tool. Node.js has access to a wide variety of logging tools, but not all of them are made equal.