IBM Event Streams
IBM Event Streams is an event streaming platform built on open source Apache Kafka®. It is available both as a fully managed service on IBM Cloud or on-premise as part of Event Automation or as part of CP4I.
To deliver more engaging customer experiences, you need to accelerate your event-driven efforts so that you can act in real-time. With IBM® Event Streams, you can leverage enterprise-grade event streaming capabilities to build smart apps to help react to events as they happen. Based on years of operational expertise gained from running Apache Kafka® for enterprises, IBM Event Streams is ideal for mission-critical workloads.
Benefits
Use events to move from batch processing to real-time and predictive analytics using Event Streams for IBM Cloud.
Get support around the clock from our team of Kafka experts. Event Streams for IBM Cloud is a fully managed Apache Kafka service, ensuring durability and high availability.
Gain shared access to a multi-tenant cluster that seamlessly autoscales as you increase the number of partitions for your workload using the Standard plan. Alternatively, use the Enterprise plan’s scaling options to customize throughput, storage capacity, or both.
Data is encrypted at rest and in motion. IBM Event Streams offers integration IBM® Key Protect provides and IBM Cloud Hyper Protect Crypto Services services. You can also restrict your network access with context based restrictions and private networking.
Both the Standard and Enterprise plans of IBM Event Streams are HIPAA-ready and compliant with PCI-DSS, SOC 2 Type 2, ISO 27001, ISO 27017, ISMAP, C5 and GDPR. The Enterprise plan includes managed security and compliance and is IBM Financial Services Validated.
The Standard and Enterprise plans provide a highly available architecture using multi-zone region deployment and an availability of 99.99%. Use Apache Mirror Maker 2 to increase availability and keep applications working in a major incident that affects a full region.
Features
Use cases
Provide data through event streams
Move data closer to the application to provide customers a highly responsive user experience connecting IBM® Event Streams to your back-end systems and creating streams of change events addresses data inaccessibility.
Scale without impacting back-end systems
Allow each new application to build its own view of relevant data without placing any additional load on back-end systems.
Continue your journey to cloud
Replicate streams of events to their various cloud environments to offer the same, low latency, easy access to their business data.
A company currently maintains a data lake that they use to process their sales data. They’ve been able to gain valuable insights by analyzing their customer data, but want to use real-time data streaming to shorten the feedback loop. This will enable them to drive more real-time decisions for their data streams.
Gain insights from historic data
IBM Event Streams is used as a buffer to connect the company’s myriad data sources to their data lake. This includes click streams from their website and transactions from their sales registers. This data is then used to identify patterns, which could be used to inform future marketing campaigns.
Add in real-time data streams
To identify situations in real time and take immediate action, the company writes new stream processing applications. These applications subscribe to existing topics in Event Streams, requiring no alterations to the back-end systems.
Optimize events with machine learning
Companies use existing data to train machine learning models. Once trained, these models can process real-time streams of data. The models provide predictions about future situations, which are used to drive further business opportunities.
Case studies
Kafka’s effectiveness in managing real-time data streams and facilitating seamless communication between microservices in distributed systems plays a pivotal role in advancing AI capabilities. Explore how SiB Solutions, a leading logistics technology company, leverages Event Streams for IBM Cloud to help businesses achieve zero error rates.
In Norway, Norsk Tipping uses the IBM Event Streams platform to accelerate data processing and deliver more responsive user services. Offering online betting on sports, casino games and various lotteries, its social mission is to provide a responsible and attractive gaming environment in which surplus funds generated go back to Norwegian society.