Kong Webhook Engine turns business events into triggers for applications and AI agents — connecting what happens in the business to what happens next. Most AI agent interactions today start with an explicit request. A user sends a prompt. An application invokes an agent. A workflow calls one. The…
You've diagnosed the problem. Your agentic AI initiatives are stalling — not because the models are wrong, but because the integration layer underneath them wasn't built for this. Batch data, rigid schemas, fragmented governance, no real-time event delivery. The plumbing is the bottleneck . Now the…
You would never expose a REST API without an API gateway in front of it. Authentication, rate limiting, observability, access control — these aren't optional extras. They're mandatory, and we've spent the last decade building the API gateway pattern to solve exactly this problem. So here's the…
If you're running Kafka at any real scale, you've probably hit some version of these three problems. Compliance wants specific fields — SSNs, emails, account numbers — locked down, but your consumers still need the rest of the record. Your topic names are load-bearing in ways nobody planned for, so…
Running Apache Kafka on Amazon Managed Streaming for Apache Kafka (MSK) gives you a managed broker with no ZooKeeper to operate, automated patching, and multi-AZ replication handled by the service. What it doesn't give you is a safe, governed way to expose Kafka access beyond your VPC boundary.…
This is part of a three-part series. For the full story, see Your AI Agent Knows What, It Doesn't Know Why and The Case for Kafka as the Agent's Memory Layer . We made the case for why agentic AI systems need a durable commit log rather than static state snapshots. The argument is…
This is part of a three-part series. For the full story, see Your AI Agent Knows What, It Doesn't Know Why and Building the Agentic Commit Log . Once you accept that agentic AI systems need a durable commit log — an ordered, immutable record of every tool call, decision, and context shift —…
Kong Operator 2.2 is now available. This release continues our work to make Kubernetes the central place to manage more of the Kong ecosystem. In 2.1, we expanded what customers could do with Konnect and Gateway API. With 2.2, we're building on that foundation by bringing Kong Event Gateway and…
This is part of a three-part series. For the full story, see Building the Agentic Commit Log and The Case for Kafka as the Agent's Memory Layer . There's a reason we don't find our keys by scanning every room like a security camera. We replay the tape. We remember the groceries, the front…
Most engineering teams adopt Apache Kafka for one simple reason: it works. It scales effortlessly, it is incredibly reliable, and it powers real-time systems across almost every industry. But as your Kafka usage expands across different teams, regions, and external consumers, success creates a…
Modern Kafka deployments struggle with a familiar tension. You want fine-grained access control per client, per team, and even per request. However, traditional ACLs force you into static, cluster-level configurations that are brittle, hard to scale, and painful to maintain. Administrators are…
Event-driven architectures (EDAs) have pretty quickly transformed from a niche engineering pattern to the all-pervasive central nervous system of the modern enterprise. With Apache Kafka at the helm, enterprises are rapidly shifting gears from synchronous REST APIs to asynchronous event streams to…
Bringing APIs and events together has always been a challenge. REST APIs give developers a familiar interface, while event brokers like Solace Broker excel at fan-out, filtering, and scalable, reliable event delivery. The tricky part? Bridging these two worlds without building a lot of custom glue.…
There's a problem that almost every platform team running Kafka at scale eventually hits, and it usually starts with a reasonable ask: "Can you give our partners access to this event stream?" What follows is rarely simple. You start scoping VPC peering. Then someone asks about firewall rules. Then…
The messaging and data streaming industries are constantly evolving, with major shifts such as large vendor purchases. If your company relies heavily on a platform such as Apache Kafka and you recently discovered that your vendor was acquired by a competitor, you are most likely dealing with a…
Apache Kafka powers real-time data at companies processing substantial event volumes daily. The new KRaft architecture makes getting started easier than ever. The platform handles massive data flows for more than 80% of Fortune 100 companies ( Apache Kafka ), according to the Apache Software…