The number of APIs has been increasing year-over-year, as they’re the infrastructure that makes the majority of modern digital architecture possible. Given that everything from AI to SaaS involves APIs at their core, it’s not the greatest shock that 78% of organizations don’t even know how many APIs they manage. A report from F5 finds ...
#api discovery
11 posts
9 Jun
5 May
“REST is dead.” “MCP will be gone within a year”. “Tooling is the new sprawl layer.” These are all takes we’ve read recently on the issues people are facing when it comes to connecting AI to APIs. Kelsey Hightower, for example, recently opened some interesting debate around the future of REST and MCP on Bluesky ...
15 Apr
While some commentators in tech say that microservices architecture has seen its heyday, in reality, it’s still foundational to some massive distributed digital systems, from Netflix, to Amazon, SoundCloud, and beyond. But how exactly do you operationalize thousands of distributed microservices living in various environments? Successful microservices adoption tales often revolve around using service mesh, ...
2 Apr
Enterprise teams treated bots like volume problems for years. Scrapers. Credential stuffing. Occasional denial of service spikes. Sure, it was frustrating. But mostly it was manageable. That old playbook doesn’t work anymore. The most harmful automation of today flies under the radar, appearing as “normal” transactions happening at machine speed through your company’s own digital ...
5 Mar
Most API teams I talk to are serious about the front door. They have a documented API surface, versioning rules, code review, and a continuous integration and continuous delivery (CI/CD) pipeline that runs tests and security checks before anything ships. That’s all good hygiene. But the incidents that turn into painful postmortems often start somewhere ...
18 Feb
As APIs scale and organizations structure complex systems, it’s almost inevitable that some enterprises are going to end up with more than one API gateway. Sometimes this is intentional — especially when those gateways represent different environments, segmented data services across regions, or different teams and thus different focuses. More often, however, this is just ...
12 Feb
Model Context Protocol (MCP) has made huge waves in the industry as of late. Since MCP makes it incredibly easy to point agentic implementations towards tools and resources, it’s been used for everything from context-driven customer service tools to order fulfillment backends. One of the most interesting use cases, and one that is currently emerging ...
4 Feb
It is no longer a secret that AI and APIs are intimately connected. Whether it’s building foundational infrastructure or powering MCP servers, APIs are the essential building blocks. However, for AI to deliver a positive impact, these APIs require rigorous governance and management. APIs serve as the technical key to an AI initiative and provide ...
3 Feb
Imagine you’re a developer working with multiple AI agents based on large language models (LLMs). On Monday morning, your client asks you to connect an AI coding assistant to access GitHub issues, Jira tickets, and internal documentation via MCP-powered tools. That’s where a centralized MCP tool registry comes into play. Instead of spending hours browsing ...
19 Nov 2025
The Model Context Protocol (MCP) community recently made quite a splash with the introduction of the Official MCP Registry, an open catalog of available MCP servers. This open-source directory is meant as a single point of discovery for all MCP servers, helping to make MCP servers more discoverable while enforcing a standardized format. It also ...
7 Oct 2025
You may have heard it repeatedly that “API sprawl is the new shadow IT.” But what does that actually mean? Where is this problem coming from? What does this practically mean in the age of AI? And more importantly, how pervasive is this problem across the API industry? Today, we’re going to look at the ...