Systems | Development | Analytics | API | Testing

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Snowflake Native App Framework Now Available to Developers in AWS

At Snowflake Summit 2022, we introduced a new way of building apps with the Snowflake Native App Framework. Today, we are excited to bring the power of the Snowflake Native App Framework to developers around the world with the public preview in AWS. Developers can now start building and testing Snowflake Native Apps in their accounts in AWS. Distribution and monetization capabilities will be available in public preview on AWS later this year.

Get Gravitas and Go Amazonian: Kong Validated for AWS Graviton3, Amazon Linux 2023 OS

Today, we’re thrilled to announce that Kong Enterprise and Kong Konnect Data Planes are now validated to run on AWS Graviton3 processors and Amazon Linux 2023 OS. As an APN Advanced Tier Partner of AWS, we were delighted to have the opportunity to benchmark Kong Enterprise running on AL2023 and Graviton3.

Kong Mesh 2.3 Improves Security, Flexibility, and Resiliency

Kong is proud to announce the release of the latest version of Kong Mesh 2.3. In this release, Kong Mesh continues to build upon the enterprise-grade service mesh in the critical areas of, security, flexibility, and resiliency. As organizations continue to leverage APIs to deliver digital experiences they rely more heavily on the underlying infrastructure that a mesh provides.

Diablo 4: A SaaS Masterclass in Launch Strategy

If you’ve ever been enraptured by the magical world of gaming, you’ve likely encountered Blizzard Entertainment. Known for its high-octane, immersive games, Blizzard has long been a beacon of quality in the gaming universe. Their latest offering, Diablo 4, has taken the gaming community by storm, breaking records and setting new standards for commercially and technically successful game launches.

Optimize Data Processing with Vector Databases

Welcome to the world of vector databases, where data storage and retrieval take on a whole new dimension! Let's start with the basics. In a vector database, data points are represented as multi-dimensional vectors, where each dimension captures a specific feature or attribute of the data. These vectors encode the essence of the data, allowing for efficient analysis, comparison, and retrieval.