Category: HAQM Managed Streaming for Apache Kafka (HAQM MSK)

As customer expectations evolve and data volumes grow exponentially, organizations face unprecedented challenges in managing and activating customer data effectively. Snowplow, a behavioral data collection platform, combined with Databricks Lakehouse platform, creates a scalable foundation for building a next-generation composable CDP on AWS. This solution enables organizations to collect, process, and activate customer data at scale while maintaining complete data ownership and control.

By combining HAQM DynamoDB with SingleStore, organizations can efficiently capture, process, and analyze DynamoDB data at scale. SingleStore has high-throughput data ingestion and near-real time analytical query capability for both relational and JSON data. This integration empowers businesses to derive actionable insights from their data in near real time, enabling faster decision-making and improved operational efficiency.

Impetus Technologies migrated a client’s Kafka cluster to HAQM MSK, reducing operational overhead by 40% and enhancing system stability. The migration enabled the client to better manage data surges, eliminate processing outages and message loss, and gain high availability and security benefits of HAQM MSK. Learn how Impetus streamlined the client’s Kafka environment and unlocked the full potential of HAQM MSK.

Cornerstone Consulting Group developed a plugin to simplify migrating on-premises or HAQM EC2 self-managed Apache Kafka clusters to HAQM MSK. The plugin automates MirrorMaker 2 replication, scales connectors, and integrates monitoring and notifications. It supports requirements like zero data loss, minimal code changes, auto-scaling, and performance/security parity. The plugin eases complex setup steps, working seamlessly for a smooth cutover to HAQM MSK after replication completes.

Managing an Apache Kafka deployment can be complex and resource intensive, often requiring additional support. Integrating HAQM Managed Streaming for Apache Kafka (HAQM MSK) and CockroachDB in your Kafka deployment enables a plethora of use cases, including real-time analytics, event-driven microservices such as inventory management, and the ability to archive data for audit logging. This post offers a step-by-step guide to integrate HAQM MSK within the CockroachDB platform.

The HAQM Managed Streaming for Apache Kafka (MSK) Delivery specialization makes it easy for customers find validated AWS Partners with proven success delivering migrations and building solutions on HAQM MSK. HAQM MSK Delivery Partners are proficient in expeditiously implementing HAQM MSK integrations with other AWS services to improve the scope and specificity of real-time analytics.

HAQM Managed Streaming for Apache Kafka (HAQM MSK) is a fully managed, highly available, and secure Apache Kafka service that makes it easy to build and run applications that use Kafka to process steaming data. Learn how to use the new open source Kafka Connect Connector (StreamReactor) from Lenses.io to query, transform, optimize, and archive data from HAQM MSK to HAQM S3. We’ll also demonstrate how to use HAQM Athena to query the partitioned parquet data directly from S3.

When streaming data comes in from a variety of sources, organizations should have the capability to ingest this data quickly and join it with other relevant business data to derive insights and provide positive experiences to customers. Learn how you can build and run a fully managed Apache Kafka-compatible HAQM MSK to ingest streaming data, and explore how to use a Kafka connect application to persist this data to Snowflake. This enables businesses to derive near real-time insights into end users’ experiences and feedback.

To be a successful fintech startup, companies have to build solutions fast so the business can achieve its goals. However, you can’t compromise on security, reliability, or support. As an AWS Financial Services Competency Partner, Behalf is committed to delivering reliable, secure, low-cost payment processing and credit options to business customers. Learn how Behalf chose HAQM MSK to meet its increasing streaming data needs in a reliable and cost-efficient manner.