Kong Simplifies Multicloud Cloud Gateways with Managed Redis Cache

Managed Redis cache is a turnkey "Shared State" add-on for Kong Dedicated Cloud Gateways. It is designed to combine the performance of an in-memory data store with the simplicity of a SaaS product. When you spin up a Dedicated Cloud Gateway in Kong
Configuring Kong Dedicated Cloud Gateways with Managed Redis in a Multi-Cloud Environment

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 C
Vendor Lock-In: What Is It and How Do You Avoid It?

Dont pull all of your eggs in one basket. Chances are you have heard this piece of advice before. Annotated with the context of cloud native app development, it might read dont put all of your (data, APIs, services, applications) in one (cloud servi
Control Plane vs. Data Plane - What's the Difference?

If you're diving into Kubernetes or you're getting started with a service mesh, you have likely encountered the terms "control plane" and "data plane." What do these terms mean? Do they refer to the same things in Kubernetes as they do in a service
An Introduction to Hybrid and Multi-Cloud Connectivity

As the cloud industry matures, its no longer a question of if youre in the cloud, but how many clouds youre in. Most businesses now realize that there isnt a one cloud fits all solution and have shifted towards a hybrid or multi-cloud model. Hybrid
AI Observability: Monitoring and Troubleshooting Your LLM Infrastructure

AI observability extends traditional monitoring by adding behavioral telemetry for quality, safety, and cost metrics alongside standard logs, metrics, and traces Time-to-First-Token (TTFT) and token usage metrics are critical performance indicator
What is a MCP Gateway? The Missing Piece for Enterprise AI Infrastructure

AI agents are spreading across organizations rapidly. Each agent needs secure access to different Model Context Protocol (MCP) servers. Authentication becomes complex. Scaling creates bottlenecks. The dreaded "too many endpoints" problem emerges.