Tag: data
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What Is RabbitMQ And How Do You Manage It With Kubernetes?
RabbitMQ is an open source message broker enabling communication and information exchange between systems, applications and services.
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Balancing Load in Apache Kafka®: Strategies for Performance Optimization
Handling real-time data at scale? Apache Kafka® is likely at the heart of your system. It’s robust, fast, and highly reliable. But as Apache Kafka® clusters grow, so does the complexity of maintaining balanced workloads across brokers and partitions. Without a solid strategy for distributing that load, you’re likely to run into bottlenecks, resource exhaustion,
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Apache Kafka® in the Financial Services Industry
Apache Kafka® plays a critical role in financial services by providing a robust, scalable, and real-time data streaming platform. The financial industry relies heavily on processing vast amounts of data quickly and reliably, and Apache Kafka®’s capabilities are well-suited for this environment. Below are some key use cases of Apache Kafka® in financial services: 1.
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How Apache Kafka® Supports Fleet Management & Route Optimization
Apache Kafka® can ingest real-time traffic data, vehicle positions, and road conditions, process this data using Apache Kafka® Streams, and then publish optimized routes back to the vehicles. If traffic conditions change, Apache Kafka® can instantly process the new data and update the routes accordingly. Apache Kafka® can be an essential component in optimizing fleet
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How to use OpenTelemetry for Apache Kafka® Monitoring
Apache Kafka® is a high-throughput, low-latency platform for handling real-time data feeds. Its storage layer is in essence a massively scalable pub/sub message queue designed as a distributed transaction log. It can be used to process streams of data in real-time, building up a commit log of changes. Apache Kafka® has strong ordering guarantees that
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7 DevOps practices to improve application performance
Devops is tough, but the choice between faster development and improving reliability shouldn’t be. Consider shifting-left security, better observability, AIops platforms, and more. Devops is primarily associated with the collaboration between developers and operations to improve the delivery and reliability of applications in production. The most common best practices aim to replace manual, error-prone procedures