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Monitoring

2 posts
Lakehouse and Data Streaming - Competitor or Complementary
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How Microsoft Fabric Lakehouse Complements Data Streaming (Apache Kafka, Flink, et al.)

In today’s data-driven world, understanding data at rest versus data in motion is crucial for businesses. Data streaming frameworks like Apache Kafka and Apache Flink enable real-time data processing. Meanwhile, lakehouses like Snowflake, Databricks, and Microsoft Fabric excel in long-term data storage and detailed analysis, perfect for reports and AI training. This blog post delves into how these technologies complement each other in enterprise architecture.
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Apache Camel and Talend ESB: Management and Monitoring of Integration Routes and SOAP / REST Web Services (JMX, OSGi, logstash, ElasticSearch, Kibana, hawtio)

A question every customer asks me: How can you manage and monitor integration routes implemented with Apache Camel and / or Talend ESB (which is based on Apache Camel and also available as open source version). This blog post will show different alternatives to answer this question. The good news first: As Apache Camel and Talend ESB are based on open standards, you can use your own frameworks and tools if tooling of the product is not sufficient. So, I will not talk just about features of Apache Camel or Talend ESB, but also about additional options.
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