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The Importance of Distributed Tracing for Apache-Kafka-Based Applications

Confluent

Apache-Kafka ® -based applications stand out for their ability to decouple producers and consumers using an event log as an intermediate layer. Moreover, these distributed components can be implemented in different programming languages, deployed on different platforms and managed by different teams.

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New Snowflake Features Released in May–July 2023

Snowflake

Read our Summit recap blog for highlights across industries or watch Summit sessions now on-demand. Applications Snowflake Native App Framework now available in AWS – public preview Snowflake Native Apps are an entirely new way to put data to work. If you missed out, not to worry! Learn more here. Learn more here.

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70+ Azure Interview Questions and Answers to Prepare in 2023

ProjectPro

This blog covers the top 50 most frequently asked Azure interview questions and answers. It will provide you with a good sense of what areas you should focus on as you prepare for your next Azure interview. So, let's dive right into it! Table of Contents Why Must You Prepare For Azure Interview Questions? Define role instance in Azure.

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Fault Tolerance in Distributed Systems: Tracing with Apache Kafka and Jaeger

Confluent

Using Jaeger tracing, I’ve been able to answer an important question that nearly every Apache Kafka ® project that I’ve worked on posed: how is data flowing through my distributed system? Distributed tracing with Apache Kafka and Jaeger. What does this all mean?

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Security Reference Architecture Summary for Cloudera Data Platform

Cloudera

This blog will summarise the security architecture of a CDP Private Cloud Base cluster. The release of CDP Private Cloud Base has seen a number of significant enhancements to the security architecture including: Apache Ranger for security policy management. Configured for authentication, authorization, and auditing.

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Spring for Apache Kafka Deep Dive – Part 2: Apache Kafka and Spring Cloud Stream

Confluent

On the heels of part one in this blog series, Spring for Apache Kafka – Part 1: Error Handling, Message Conversion and Transaction Support , here in part two we’ll focus on another project that enhances the developer experience when building streaming applications on Kafka: Spring Cloud Stream.

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Journey to Event Driven – Part 3: The Affinity Between Events, Streams and Serverless

Confluent

This is important as each platform has different persistence models and APIs, tying you to that vendor’s ecosystem. When it comes to the emerging serverless world, It makes sense to validate how Apache Kafka ® fits in considering that it is mission critical in 90 percent of companies. What is FaaS? Event-first FaaS? Next Steps.

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