I spoke at Devoxx UK last week, about how to process XML data using a Kafka Connect pipeline.
This was based on some work I did last year, but it was good to get a chance to share it with a new audience.
Posts Tagged ‘kafka’
Processing XML with Kafka Connect
Wednesday, May 15th, 2024Processing Apache Avro-serialized messages from Kafka using IBM App Connect Enterprise
Monday, May 13th, 2024IBM App Connect Enterprise (ACE) is a broker for developing and hosting high-throughput, high-scale integrations between a large number of applications and systems, including Apache Kafka.
In this post, I’ll describe how to use App Connect Enterprise to process Kafka messages that were serialized using Apache Avro schemas.
This is an update to an earlier version of this post, reflecting updates to the sample code.
Background
Best practice when using Apache Kafka is to define Apache Avro schemas with a definition of the structure of your Kafka messages, and to store those schemas in a central registry that client applications can access at runtime.
If you want to use IBM App Connect Enterprise to develop and host integrations for processing those Kafka messages, you need App Connect to know how to:
- retrieve the Avro schemas it needs using schema registry REST APIs
- use the schemas to turn the binary stream of bytes on your Kafka topics into structured objects that ACE can manipulate and process
Using IBM Event Automation with Azure Event Hubs
Friday, April 26th, 2024IBM Event Automation helps companies to accelerate their event-driven projects wherever businesses are on their journey. It provides multiple components (Event Streams, Event Endpoint Management, and Event Processing) which together lay the foundation of an event-driven architecture that can unlock the value of the streams of events that businesses have.
A key goal of Event Automation is to be composable. The three components can be used together, or they can each be used to extend and enhance an existing event-driven deployment.
Today, I demonstrated some of the Event Automation components working with Azure Event Hubs for Apache Kafka. As Event Hubs provides a Kafka interface to Azure’s data streaming service, it obviously can be used with Event Automation. But it can be helpful to inspire people by showing it for real, so even demos of obvious things can be valuable.
For example, Event Endpoint Management can enhance the value of topics in Event Hubs by offering management and governance, and by enabling governed reuse of those topics. Event Processing makes it easy to get insights from the events on Event Hubs topics, by providing an intuitive low-code authoring canvas to process them.
If I was going to be running this for a while and wanted to optimise for my applications in Azure, I would likely have set this up like this, with the Event Gateways deployed close to the Azure Kafka endpoints.
Using Mirror Maker 2 with IBM Event Streams to migrate to a new cluster
Thursday, April 18th, 2024This is the sixth in a series of blog posts sharing examples of ways to use Mirror Maker 2 with IBM Event Streams.
- Using Mirror Maker 2 to aggregate events from multiple regions
- Using Mirror Maker 2 to broadcast events to multiple regions
- Using Mirror Maker 2 to share topics across multiple regions
- Using Mirror Maker 2 to create a failover cluster
- Using Mirror Maker 2 to restore events from a backup cluster
- Using Mirror Maker 2 to migrate to a different region
Mirror Maker 2 is a powerful and flexible tool for moving Kafka events between Kafka clusters.
For this sixth post, I’ll look at using Mirror Maker to migrate your Kafka cluster to a new region.
I’ve broken this down into multiple stages. For each stage, I’ll explain the intent and share a demo script I’ve created to let you try this for yourself.
Using Mirror Maker 2 with IBM Event Streams to restore from a backup cluster
Friday, April 12th, 2024This is the fifth in a series of blog posts sharing examples of ways to use Mirror Maker 2 with IBM Event Streams.
- Using Mirror Maker 2 to aggregate events from multiple regions
- Using Mirror Maker 2 to broadcast events to multiple regions
- Using Mirror Maker 2 to share topics across multiple regions
- Using Mirror Maker 2 to create a failover cluster
- Using Mirror Maker 2 to restore events from a backup cluster
- Using Mirror Maker 2 to migrate to a different region
Mirror Maker 2 is a powerful and flexible tool for moving Kafka events between Kafka clusters.
For this fifth post, I’ll look at using Mirror Maker to maintain a backup of your Kafka events, and to be able to restore from that backup.
This is more complex than the previous posts as there are multiple stages involved. For each stage, I’ll explain the intent and share the demo script I’ve created to let you try this for yourself.
Using Mirror Maker 2 with IBM Event Streams to create a failover cluster
Monday, April 8th, 2024This is the fourth in a series of blog posts sharing examples of ways to use Mirror Maker 2 with IBM Event Streams.
- Using Mirror Maker 2 to aggregate events from multiple regions
- Using Mirror Maker 2 to broadcast events to multiple regions
- Using Mirror Maker 2 to share topics across multiple regions
- Using Mirror Maker 2 to create a failover cluster
- Using Mirror Maker 2 to restore events from a backup cluster
- Using Mirror Maker 2 to migrate to a different region
Mirror Maker 2 is a powerful and flexible tool for moving Kafka events between Kafka clusters.
For this fourth post, I’ll look at using Mirror Maker to create an active/passive topology with a backup cluster ready to failover to.
Using Mirror Maker 2 with IBM Event Streams to share topics across multiple regions
Friday, April 5th, 2024This is the third in a series of blog posts sharing examples of ways to use Mirror Maker 2 with IBM Event Streams.
- Using Mirror Maker 2 to aggregate events from multiple regions
- Using Mirror Maker 2 to broadcast events to multiple regions
- Using Mirror Maker 2 to share topics across multiple regions
- Using Mirror Maker 2 to create a failover cluster
- Using Mirror Maker 2 to restore events from a backup cluster
- Using Mirror Maker 2 to migrate to a different region
Mirror Maker 2 is a powerful and flexible tool for moving Kafka events between Kafka clusters, but sometimes I feel like this can be forgotten if we only talk about it in the context of disaster recovery.
In these posts, I want to inspire you to think about other ways you could use Mirror Maker 2. The best way to learn about what is possible is to play with it for yourself, so with these posts I’ll include a script to create a demonstration of the scenario.
For this third post, I’ll look at using Mirror Maker to create logical topics shared across multiple regions.
Using Mirror Maker 2 with IBM Event Streams to broadcast events to multiple regions
Tuesday, April 2nd, 2024This is the second in a series of blog posts sharing examples of ways to use Mirror Maker 2 with IBM Event Streams.
- Using Mirror Maker 2 to aggregate events from multiple regions
- Using Mirror Maker 2 to broadcast events to multiple regions
- Using Mirror Maker 2 to share topics across multiple regions
- Using Mirror Maker 2 to create a failover cluster
- Using Mirror Maker 2 to restore events from a backup cluster
- Using Mirror Maker 2 to migrate to a different region
Mirror Maker 2 is a powerful and flexible tool for moving Kafka events between Kafka clusters, but sometimes I feel like this can be forgotten if we only talk about it in the context of disaster recovery.
In these posts, I want to inspire you to think about other ways you could use Mirror Maker 2. The best way to learn about what is possible is to play with it for yourself, so with these posts I’ll include a script to create a demonstration of the scenario.
For this second post, I’ll look at using Mirror Maker to broadcast events to clusters in multiple regions.
Where the last post described a “fan in” scenario, this is effectively the opposite use case: a “fan out” scenario.