Showback and chargeback are not the same thing. Most organizations conflate these two concepts, and that conflation delays action. Understanding the LLM showback vs chargeback difference is the first step toward effective AI cost governance. Both are valuable, and each has its place given certain…
[](/blog/enterprise/llm-cost-management-ai-showback-and-chargeback)
Traditional APIs are, in a word, predictable. You know what you're getting: AI APIs, especially anything that runs on LLMs under the hood, are a completely different story. These things are highly unpredictable by their very nature. You're dealing with token-based costs that swing wildly depending…
[](/blog/engineering/monetize-ai-apis)
Free collaboration with Postman — a myth On March 1st, 2026, Postman discontinued free collaboration for small teams. Now , Git or Cloud-native collaboration requires a Team plan starting at $19 per person per month. That means even a 3-person team is now paying $57 per month just to keep their API…
[](/blog/enterprise/insomnia-vs-postman-evaluating-api-testing-tools)
Running Kong in front of your Solace Broker adds real benefits: Imagine an order service that accepts REST requests and publishes them as events. 1. API Consumer calls Kong with a standard POST request: 2. Kong Gateway applies authentication, validates the payload, adds a correlation ID, rate…
[](/blog/engineering/smarter-event-driven-apis-kong-solace)
Architecture Overview A multicloud DCGW architecture typically contains three main layers. 1\. Konnect Control Plane The SaaS control plane manages configuration, plugins, and policies. All gateways connect securely to this layer. 2\. Dedicated Cloud Gateway Data Planes Each cloud environment ho…
[](/blog/engineering/dedicated-cloud-gateways-managed-redis-multi-cloud)
The Shifting Economic Landscape: The AI token economy in 2026 is evolving, and enterprise leaders must distinguish between low-cost input tokens and high-premium output tokens to maintain profitability. Agentic AI Financial Risks: The transition to agentic AI and multi-step reasoning models creates…
[](/blog/enterprise/ai-input-vs-output-cost-management)
Claude Code is Anthropic's agentic coding and agent harness tool. Unlike traditional code-completion assistants that suggest the next line in an editor, Claude Code operates as an autonomous agent that reads entire codebases, edits files across multiple directories, runs terminal commands, executes…
[](/blog/engineering/claude-code-governance-with-an-ai-gateway)
Agents are ultimately decision makers. They make those decisions by combining intelligence with context, ultimately meaning they are only ever as useful as the context they can access. An agent that can't check inventory levels, look up customer history, or verify pricing isn't autonomous — it's…
[](/blog/product-releases/introducing-kong-context-mesh)
Kong is excited to announce Solace as the newest member of our Premium Technology Partner Program, a program designed to deliver high-quality, reliable integrations that provide real business value for customers. Together, Kong and Solace unify API-driven and real-time data movement into a single,…
[](/blog/news/solace-kong-premium-technology-partner)
This is the pitch to the board and the C-suite. It must be brutally concise, focused entirely on your business outcomes, not the technology. If the first page doesn't articulate value, the strategy dies. It immediately frames the initiative in terms of shareholder value and competitive advantage.…
[](/blog/enterprise/enterprise-api-strategy-legacy-modernization)
Let's be honest about what's happening inside most enterprises right now. Development teams are under intense pressure to ship AI features. The mandate from leadership is clear: move fast. And so they do. They spin up LLM connections, integrate third-party AI tools, and route data to models without…
[](/blog/enterprise/agentic-ai-governance-managing-shadow-ai-risk)
The first pillar is enablement. Developers need tools that reduce friction when building AI-powered applications and agents. This means providing: The goal isn't to replace existing development workflows but to extend them. Developers should be able to build agents using familiar paradigms while…
[](/blog/enterprise/agentic-ai-developer-platform)
The evolution of AI agents and autonomous systems has created new challenges for enterprise organizations. While securing API endpoints is well-understood, controlling access to individual AI agent tools presents a unique authorization problem. Today, we're excited to announce a powerful solution…
[](/blog/product-releases/mcp-tool-acls-ai-gateway)
AI governance establishes the principles, roles, processes, and controls for responsible AI deployment. It transforms abstract ethics into concrete practices. Think of AI governance as a rulebook for how to use AI in a secure, ethical, observable, moderated, and auditable fashion. It’s a…
[](/blog/learning-center/what-is-ai-governance)
The AI boom has a dirty secret: for most enterprises, it's bleeding money. Every LLM call, every agent invocation, every API request that powers your AI products — they all cost something. And right now, most organizations have no idea what they're spending, who's spending it, or how to control…
[](/blog/product-releases/metering-and-billing-kong-konnect)
Kong Cloud Gateways are fully managed, high-performance data planes running on customer-dedicated infrastructure, orchestrated and operated by Kong through Kong Konnect . Customers can choose between: Together, these models give organizations the flexibility to run Kong where it makes the most…
[](/blog/product-releases/kong-cloud-gateways-2025-news-recap)