Event-Driven AI Systems With Kafka and Autonomous Agents
Enterprise AI is moving beyond isolated prompt-response calls and toward systems that observe events, preserve state, invoke tools, and publish decisions back into operational work...
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Enterprise AI is moving beyond isolated prompt-response calls and toward systems that observe events, preserve state, invoke tools, and publish decisions back into operational work...
Stop blocking your services! Learn how to master asynchronous APIs, event brokers, and API gateways to build scalable, real-time applications. The post Mastering Asynchronous API M...
Building an application often involves more than saving data in a database. As an application grows, it may also need to send messages, publish events, call other services, or trig...
Throughout my career, observability and monitoring systems have played a very important role in system stability, availability, and scalability when architecting, whether a system...
In my previous AWS projects, I worked with services such as DynamoDB, Lambda, API Gateway, S3, IAM, and Terraform. This time, I wanted to build something a little closer to a real...
A large API response becomes a client problem long before it becomes a network problem. A browser can receive hundreds of megabytes and still become unresponsive while buffering by...
Most enterprises have all three pieces. A process automation layer. A data integration strategy. An AI initiative. Yet critical decisions still fail, agents still hallucinate, and...
https://dzone.com/articles/apache-flink-1Most teams working with Apache Flink think about stream processing: filter events, aggregate values, enrich records, join streams. This cov...
Kafka is a distributed event streaming platform that enables real-time data ingestion, storage, and processing of continuous event streams. To do that, Kafka has a complex internal...
Data integration used to be treated as back-office plumbing. Difficult, yes, and always operationally critical, but rarely seen as strategic. That has changed. The Data Integration...
The Batch Processing Problem Batch processing isn't inherently a disadvantage. It becomes a problem when the business needs a decision now, but the architecture was designed to mak...
Modern, intelligent Drupal websites rely on automation to save teams plenty of time. Tools like Drupal Cron handle scheduled tasks at set intervals, but not every automated workflo...
Most agent projects start the same way: one model, one prompt loop, three or four tools. That's the right place to start, and for a lot of workloads it's also the right place to st...
Remember when Enterprise Architecture (EA) was mostly about static diagrams and thick binders? It was a world of manual data entry, where Enterprise Architects painstakingly mapped...
Have you ever thought about all the things that are happening in your IT environment every day? Event Management is like the nervous system of your IT environment, monitoring, dete...
At a logistics visibility company, the shipment state can change thousands of times per second due to the massive scale of operations. Such changes take place when, for instance, a...
When a mobile application starts an agentic workflow that may run for minutes, the network connection is almost guaranteed to be shorter-lived than the computation. Wi-Fi can disap...
Learn how a global interdealer broker built an automated architecture documentation pipeline on Amazon Bedrock AgentCore that analyzes .NET code bases, generates architecture diagr...
Ten minute delivery looks like magic from the app. Underneath, a chain of geospatial lookups, live inventory, event streams and rider dispatch has seconds to do its job, and this i...
Kafka-compatible ingestion is showing up everywhere now, including in analytics platforms that have nothing to do with running Kafka. Databricks added Kafka-compatible APIs to its...
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