Systems | Development | Analytics | API | Testing

Kong Konnect Advanced Analytics: Running Faster Than StatsD

Earlier this year the Kong Konnect Analytics team was looking to leverage the stability and flexibility of our own Kong Gateway to handle the entire load of our Analytics ingest firehose. Almost all Konnect API traffic flows through a Kong Gateway and most of it has from the very beginning. For some legacy and differing protocol reasons, our Analytics ingest service was not included in our initial Kong Gateway configuration.

GraphQL vs REST: Key Similarities and Differences Explained

Choosing the right API architecture is crucial for building efficient and scalable applications and the two prominent contenders in this arena are GraphQL and REST, each with its unique set of characteristics and benefits. Understanding the similarities and differences between these two approaches can help teams make informed decisions when designing APIs. This article aims to provide a comprehensive comparison of GraphQL and REST, highlighting their key features, advantages, and use cases.

Agentic AI Needs an API Backbone: Cultivating Discipline & Governance for Scalable Success

For organizations seeking to leverage agentic AI, the journey begins with a steadfast commitment to discipline and governance. This talk underscores that the true foundation of success in agentic AI adoption is a culture that values structured API capabilities and a rigorous approach to digital integration. By fostering disciplined practices and robust governance frameworks, businesses can establish the resilient API foundations necessary for automating complex processes and scaling AI-driven initiatives.

Federated API Management: Balancing Speed and Control

As the need for speed in business can seemingly be at odds with the need for control, organizations developing APIs today face a critical challenge: how can you empower developers to build and deploy APIs quickly while maintaining enterprise-wide governance and security? More traditional API deployment approaches are often to blame for why API initiatives fail to deliver the promised benefits as complexity and scale increase.

Transforming DevOps for Scientific Innovation:Materials Project's Cloud-Native Journey to 500K Users

The Lawrence Berkeley National Laboratory (Berkeley Lab) stands at the forefront of scientific discovery, driving innovations across energy, physics, biology, and computational research. The project harnesses the power of supercomputing and state-of-the-art methods to provide open web-based access to computed information on known and predicted materials..

Announcing Kong GCP Cloud Gateways (Beta)

When speaking with platform teams who are responsible for setting up their organizations’ API platforms, we often hear: "We really want to offload the infra side of this. We don’t want our engineers spinning up their own locally hosted infrastructure or asking other infrastructure teams to do this.