Introduction to Apache Kafka: Learn Kafka fundamentals, including the concepts of events, topics, partitions, brokers, replication, producers, and consumers.
Combining Salesforce with Heroku including Progressive Web Apps (PWAs), using Kafka to scale MQTT protocols, and capturing change events in near real time.
If there are multiple zookeeper and Kafka pods, a single window would be a boon for administrators. Grafana provides Loki and Promtail this functionality.
Python’s development is highly robust for Finance and FinTech applications. Python is now the third most popular programming language behind C and Java.
In this step-by-step tutorial, quickly learn how to run Apache Kafka on Windows in a Linux environment backed by WSL 2 to maximize performance and stability.
This article discusses the challenges of transferring data into a format that is serviceable for use in analytics, and how to construct a resilient data flow.
Learn how to use JSON with PostgreSQL to create a schema for any situation. Follow examples of storing JSON data, querying it, and avoiding anti-patterns.
A software industry executive gives a detailed list of over 60 tools that developers can use, for various projects, to make it easier to work with PostgreSQL.
This article provides a methodology for cloud assessment, strategy, and migration including info on 7R methodology, assessment, and target cloud architecture.
In this article, we are going to discuss the combination of Camel components and Kafka which has made integrations with Kafka even more easy, stable, and versatile.
FileSource and FileSink Connector can be leveraged for streaming data from a text file to a multi-broker Apache topic and subsequently sink to another file.
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