Solace with Kafka

An architect once told us that managing his Kafka event streams was like playing a game of data whack-a-mole. He couldn’t determine which event streams were available, which applications were...

One of the persistent challenges with a distributed architecture—like with Kafka—is the ability to design your streams for reuse and supportability. This is especially true for large enterprises,...

You’re out of control. I hate to be the bearer of bad news, but sometimes we need to hear the truth. You know Apache Kafka, you love Apache Kafka, but as your projects and architecture have...

Preface Over the last few years Apache Kafka has taken the world of analytics by storm, because it’s very good at its intended purpose of aggregating massive amounts of log data and streaming it...

Kafka is often used to aggregate massive amounts of log data and stream it to analytics engines and big data repositories. In a scenario of processing large amount of collected data, the analysis...

Securing Apache Kafka can be difficult, whereas Solace event brokers form a platform for integrating enterprise security services in a consistent way that lets you more easily and completely...

Kafka lacks the flexible filtering it takes to let consumers define exactly what events they need. This means you either need to code up your applications to filter the proverbial firehose of data...

Preface Over the last few years Apache Kafka has taken the world of analytics by storm, because it’s very good at its intended purpose of aggregating massive amounts of log data and streaming it...

Kafka was born as a stream processing project of LinkedIn’s engineering team, so a recent blog post by two current members of that team titled, How LinkedIn customizes Apache Kafka for 7 trillion...

There is some functional overlap between Solace and Kafka, but if you look at the underlying architecture and operational characteristics of the two tools you’ll realize they solve different...