Platforms 24. Colima Adopt Colima is now our go-to alternative to Docker Desktop on macOS. We continue to use it on several projects to provision the Docker container run time in a Lima VM, to configure the Docker CLI on macOS and to handle port-forwarding and volume mounts. Colima can be configured to run containerd as its run time, which is also the run time on most managed Kubernetes services, improving the important dev-prod parity. 25. CloudEvents Trial Events are common mechanisms in event-driven architecture or serverless applications. However, producers or cloud providers tend to support them in different forms, which prevents interoperability across platforms and infrastructures. CloudEvents is a specification for describing event data in common formats to provide interoperability across services, platforms and systems. It provides SDKs in multiple languages so you can embed the spec into your application or toolchain. Our teams use it not only for cross-cloud platform purposes but also for domain event specification, among other scenarios. CloudEvents is hosted by the Cloud Native Computing Foundation (CNCF) and now runs as an incubator project that has been gaining increasing industry attention. 26. DataOps.live Trial DataOps.live is a data platform that automates environments in Snowflake. Inspired by DevOps practices, DataOps.live lets you treat the data platform like any other web platform by embracing continuous integration and continuous delivery (CI/CD), automated testing, observability and code management. Our teams are using it for managing the lifecycle of data products that includes development, branching and deployment of both code and data. With its automated environment management, it’s very easy to build environments based on feature branches, modify them and destroy them automatically. It’s also worth noting its declarative specification (SOLE) capability, which enables a streamlined developer experience. This allows teams to reduce the time it takes to build data products from months to days. Our teams have been using DataOps.live successfully in production, and that’s why we recommend this platform when working with Snowflake. 27. Google Cloud Vertex AI Trial Significant developments have happened in the AI landscape since we first blipped Google Cloud Vertex AI. Since May 2023, Google has introduced several services and features to enrich this realm. These additions include Model Garden, a repository of 100+ pre-trained models; Generative AI Studio, a console intended to rapidly explore and prototype generative AI models; and Vertex AI Extensions which provides fully managed developer tools to connect AI models and real-time data or actions via APIs. The platform has evolved to offer GenAI models and integration support, and we’re excited to use it more extensively. © Thoughtworks, Inc. All Rights Reserved. 21