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The challenges of an acquisition frequently appear in a number of critical areas, especially when dealing with a platform as important as Kafka: Many organizations consider maintaining direct integration with their Kafka provider. However, compared to a direct coupling approach, an abstraction…
Companies are charging headfirst into AI, with research around agentic AI in the enterprise finding as many as 9 out of 10 organizations are actively working to adopt AI agents. LLMs are being deployed, agentic workflows are getting created left and right, and the promises of what this technology…
The Requirement : Article 10 of the EU AI Act mandates strict data governance for high-risk AI systems. This includes error detection, bias monitoring, and arguably most critically for enterprise use — ensuring that sensitive personal data (PII) is not improperly processed or leaked into public…
A close examination of what really powers the AI prompt unveils two technologies: the large language models (LLMs) that empower agents with intelligence and the ecosystem of MCP tools to deliver capabilities to the agents. While LLMs make your agents smart, it would be hard to provide agents with…
Everyone's telling you to innovate faster with AI. Move quicker. Ship more features. Deploy more agents. But before we sprint headlong into the AI revolution, we need to have a proper dollars-and-cents conversation that most companies are avoiding. Disclaimer: Statistics cited in this post were…
The 2025 Gartner Magic Quadrant for API Management report was a great one for us here at Kong. We continue to move “up and to the right,” we remained in the “Leader” quadrant for the sixth year in a row, and we held our position as the “farthest right” on the “Completeness of vision”…
Consider the typical enterprise architecture in a relatively mature organization, an API management layer defines and deploys services to an API gateway, an Identity Provider (IDP) manages human user identities, and separate systems or at least separate control planes in the IDP handle…
Feed Agents (and humans, too) with *all* of your APIs While multi-gateway vendor deployments have been found to be lacking as a long-term strategy, the reality is that every large organization is — at some point — going to struggle with trying to wrangle APIs across multiple API gateway solutions.…
If you're building distributed applications or working in cloud native development, you know that robust connectivity and API governance are the foundations for speed and scale. However, this also holds true in the realm of event streaming. Many top companies now depend on Apache Kafka and…
Organizations are gradually realizing that API and AI observability aren't two separate problems; they're intertwined and require unified solutions. Without waiting on engineering, it's hard to answer simple questions like "Who's using my APIs?" or "Which APIs are causing the most issues?" Now…
The myth of the silver bullet The conventional wisdom that API security can be solved with a single tool or approach isn't just misguided — it's dangerous. This mindset has led many organizations down a path of false security, believing that deploying a WAF or implementing authentication provides…
Ever feel like you're fighting an uphill battle with your API strategy? You're building APIs faster than ever, but somehow everything feels harder. Wasn’t API-first supposed to make all this easier? Well, you're not alone. And now industry analysts are noting it as well. New Gartner research on…
The word on the street is that ambient mesh is the obvious evolution of service mesh technology — leaner, simpler, and less resource-intensive. But while ambient mesh is an exciting development, the reality is more nuanced. It is more than likely that a sidecar-based mesh is still a better fit for…
Kafka delivers massive value for real-time businesses — but that value comes at a cost. As usage grows, so does complexity: more clusters, more topics, more partitions, more ACLs, more custom tooling. But it doesn’t have to be that way. If your team is managing Kafka at scale, here are five…
Enterprise adoption of large language models (LLMs) is surging. According to Gartner , more than 80% of enterprises will have deployed generative AI (GenAI) applications or used GenAI APIs by 2026, up from just 5% in 2023. That stark increase paints a telling picture: LLMs have evolved from a…
Managing Kafka as an island on its own got you this far. But scaling it securely and efficiently across your organization? That's another matter entirely. Apache Kafka is the number-one event streaming platform used by developers and data engineers worldwide to build reliable, scalable real-time…
Secure your AI infrastructure with prompt guards, PII sanitization, and centralized governance. Control LLM costs with token-based rate limiting and semantic routing across providers.