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4 Ways Codezero Optimizes AI Dev

Leveraging Codezero can significantly benefit AI developers in building better, larger, and more sophisticated models through its suite of features designed to simplify and secure microservices development. By addressing common challenges in AI model development, such as environment consistency, collaboration, scalability, and security, Codezero provides a conducive environment for innovation and efficiency. Here’s how AI developers can harness Codezero for these advantages.

Introducing the World's First OSS Production-Grade Gateway API Operator

Today’s the day you’ve all been waiting for: Kong Gateway Operator OSS is here. You can read the code and see what a production-grade Kubernetes operator looks like. Authored by multiple Gateway API contributors, Kong Gateway Operator is the de-facto reference for Gateway API implementers on Kubernetes. Kong Gateway Operator (KGO) 1.2 brings six new features plus a brand new Helm chart that allows you to deploy KGO using tools that you already know and love.

Managing the Lifecycle of Gateways in Kubernetes Using Gateway API

Managing your Gateways on Kubernetes has historically been a very manual process, usually involving the use of Helm for operations like upgrades. At Kong we've been working on the Kong Gateway Operator (KGO) to revolutionize the experience of operating Gateways in production. Say goodbye to the cumbersome, manual processes of managing Gateways. Our operator transforms the configuration and lifecycle management experience, automating the tedious and complex operations that used to bog you down.

Codezero Raises $3.5M Seed Funding to Secure Multi-Cloud Application Development

Vancouver – March 12, 2024 – Codezero, the innovator in secure enterprise microservices development, today announced a $3.5 million seed-funding round led by Ballistic Ventures, the venture capital firm dedicated exclusively to funding entrepreneurs and innovations in cybersecurity. This investment marks a significant leap forward in Codezero’s mission to reimagine multi-cloud, collaborative microservices development.

Apache Kafka 3.7: Official Docker Image and Improved Client Monitoring

Apache Kafka® 3.7 is here! On behalf of the Kafka community, Danica Fine highlights key release updates, with KIPs from Kafka Core, Kafka Streams, and Kafka Connect. Kafka Core: Kafka Streams: Kafka Connect: Many more KIPs are a part of this release. See the blog post for more details.

Kong Konnect Data Plane Node Autoscaling with Karpenter on Amazon EKS 1.29

In this post, we're going to explore Karpenter, the ultimate solution for Node Autoscaling. Karpenter provides a cost-effective capability to implement your Kong Konnect Data Plane layer using the best EC2 Instances Types options available for your Kubernetes Nodes. See the previous posts in this series for more on Data Plane Elasticity and Pod Autoscaling with VPA, HPA, and Node Autoscaling with Cluster Autoscaler on Amazon EKS 1.29.

Kubernetes Native API Management: Create and Deploy APIs with WSO2 APK

Commence an exploration into Kubernetes Native API Management with WSO2 in this enlightening session. Guiding you through the details of creating and deploying APIs, we commence the exploration of the robust WSO2 API Platform for Kubernetes (APK). Discover an innovative AI-powered health and wellness coach application, unraveling the process of exposing microservices as managed APIs in a Kubernetes environment. The setup involves deploying WSO2 APK alongside microservices, providing a comprehensive view of API creation methodologies.

Kong Konnect Data Plane Node Autoscaling with Cluster Autoscaler on Amazon EKS 1.29

After getting our Konnect Data Planes vertically and horizontally scaled, with VPA and HPA, it's time to explore the Kubernete Node Autoscaler options. In this post, we start with the Cluster Autoscaler mechanism. (Part 4 in this series is dedicated to Karpenter.)