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Optimizing Apache Airflow Performance: Configuring Worker Count for Maximum Efficiency
Airflow workers are responsible for executing the tasks defined in Directed Acyclic Graphs (DAGs). Each worker can handle one task at a time. The number of workers directly impacts the system’s ability to parallelize task execution, thus influencing overall workflow performance.
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Choosing Kafka Partitions: A Technical Exploration
Apache Kafka’s partitioning mechanism is a critical aspect of its design, influencing the performance, scalability, and reliability of your data streaming infrastructure. Properly configuring and choosing the number of partitions is fundamental to achieving optimal throughput and fault-tolerance in Kafka. In this technical article, we will delve into the considerations and best practices for selecting…
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Choosing Self-Hosted Kafka versus Confluent Kafka
Deploying Your Own Kafka: Customization and Control: Customization and Control: Flexibility: Deploying Your Own Kafka: Managed Service Scalability Integration with Ecosystem Considerations In summation, the selection between self-deployed Kafka and […]
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Mastering Load Testing with Apache JMeter: A Guide
Mastering load testing with Apache JMeter requires a solid understanding of its features and best practices. By leveraging its scalability, protocol support, and user-friendly interface, testers can simulate real-world scenarios, identify performance bottlenecks, and ensure that applications can handle the anticipated user load. Incorporating JMeter into your testing toolkit empowers your team to deliver high-performance…
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OAuth 2.0 : A Ready Reckoner
OAuth 2.0 has become integral to securing modern web applications and APIs. Understanding its principles, components, and security considerations is essential for developers and system architects, facilitating the creation of robust and secure applications in today’s interconnected digital landscape.
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