Systems | Development | Analytics | API | Testing

Insomnia natively understands Postman's export format and can bring over your collections, environments, folder structures, and even pre-request scripts with most of the conversion handled automatically..

Digital agreements are at the heart of many critical business processes. As companies modernize their technology stacks and adopt API-driven architectures, integrating agreement workflows directly into applications has become increasingly important. Traditional agreement processes were slow and heavily manual. Documents were often created in office tools, shared through email, printed, signed physically, and stored across multiple systems.

How OAuth 2.0 Token Exchange Reshapes Trust Between Services — and Why the API Gateway Is Exactly the Right Place to Enforce It OAuth 2.0 Token Exchange fundamentally alters how services establish trust. And the API gateway is the ideal location to enforce this new model. Modern applications don’t run as a single monolithic.

How Kong Gateway 3.14 closes the consistency gap in IAM-based authentication across AWS, Azure and GCP — and what it means for your production deployments Enterprise security teams have clear requirements: no static credentials, no exceptions. Every service-to-service connection, whether it's Kong talking to databases, caches, or vaults, should authenticate using the same IAM-based identity model that governs the rest of their cloud infrastructure.

Modern API architectures are no longer linear. A single request can traverse multiple layers of authentication, transformation, enrichment, and observability. As these flows grow more dynamic, the need for fine-grained control over when plugins execute becomes critical. For years, the standard approach to API Gateway configuration followed a strict hierarchical model: you applied a plugin to a Service, a Route, or a Consumer.

The shift from single-model AI features to multi-agent pipelines is no longer a future concern — it's running in production today. MCP has become the de facto protocol for tool-calling, agent-to-agent (A2A) communication patterns are proliferating, and enterprise teams are wiring together complex AI workflows that span multiple providers, services, and agents. Every hop in that data path is an opportunity for something to go wrong. The challenge is governance.

Kong Agent Gateway Is Here — And It Completes the AI Data Path You had a request going to a model, a response coming back, and a gateway in between to enforce policy. With the right solutions, this becomes manageable pretty quickly.. That world is over. Today's agentic architectures look nothing like that. Agents are delegating tasks to other agents via A2A. These other agents are producing and consuming event streams.

You whipped up a simple MCP server prototype over the weekend. It routed a single AI agent to a few internal tools, your demo impressed leadership, and the team asked the dreaded question: "When can we ship?" You smiled and said, "Give me two weeks." Fast-forward three months**.** You’re firefighting expired tokens at 2 AM. The compliance team is camped in your inbox. Your once-elegant codebase is now a distributed systems nightmare. Sound familiar?

CLIs, MCP, and the Real Governance Tradeoffs Shaping Enterprise AI Agents.

The global financial services industry is undergoing a massive, API-driven revolution. With the global open banking market valued at $31.61 billion in 2024 and projected to grow to $135.17 billion by 2030, this shift is accelerating worldwide. This definitive guide explores the core APIs, the evolving global regulations (including FAPI 2.0, PSD3, and Section 1033), and the massive opportunities shaping the future of finance for banks, fintechs, and enterprises.