Best Application Development Software for Amazon MSK

New Relic equips developers of enterprise applications with a holistic, data-centric strategy for the planning, creation, deployment, and management of software. Our integrated data platform aggregates all telemetry information, presenting powerful full-stack analytical tools that yield profound insights across every phase of the development process. Tailored for large-scale environments, New Relic facilitates the quick detection and resolution of issues, thereby ensuring peak performance and enhanced reliability. Optimize processes and reveal the root causes of challenges, fostering ongoing enhancement and innovation. By leveraging New Relic, you can provide outstanding customer experiences, accelerate development timelines, and propel growth with unparalleled functionalities designed specifically for enterprise application development.

Datadog is the cloud-age monitoring, security, and analytics platform for developers, IT operation teams, security engineers, and business users. Our SaaS platform integrates monitoring of infrastructure, application performance monitoring, and log management to provide unified and real-time monitoring of all our customers' technology stacks. Datadog is used by companies of all sizes and in many industries to enable digital transformation, cloud migration, collaboration among development, operations and security teams, accelerate time-to-market for applications, reduce the time it takes to solve problems, secure applications and infrastructure and understand user behavior to track key business metrics.

Apache Kafka® is a robust, open-source platform designed for distributed streaming. It can scale production environments to accommodate up to a thousand brokers, handling trillions of messages daily and managing petabytes of data with hundreds of thousands of partitions. The system allows for elastic growth and reduction of both storage and processing capabilities. Furthermore, it enables efficient cluster expansion across availability zones or facilitates the interconnection of distinct clusters across various geographic locations. Users can process event streams through features such as joins, aggregations, filters, transformations, and more, all while utilizing event-time and exactly-once processing guarantees. Kafka's built-in Connect interface seamlessly integrates with a wide range of event sources and sinks, including Postgres, JMS, Elasticsearch, AWS S3, among others. Additionally, developers can read, write, and manipulate event streams using a diverse selection of programming languages, enhancing the platform's versatility and accessibility. This extensive support for various integrations and programming environments makes Kafka a powerful tool for modern data architectures.