JFrog announced a new machine learning (ML) lifecycle integration between JFrog Artifactory and MLflow, an open source software platform originally developed by Databricks.
Dapr, a Cloud Native Computing Foundation incubating project maintained by Diagrid, Microsoft, Intel, Alibaba, and others announced the release of Dapr (Distributed Application Runtime) 1.13 improving Kubernetes operations, hardening security and providing additional software development kits (SDK) for workflows.
Dapr provides developers with APIs that abstract away the complexity of common challenges when building distributed applications. With Dapr taking care of the complex challenges such as service communication, pub/sub, state management, workflow, and secret management, developers can save time by avoiding the need to recreate repetitive code.
Dapr 1.13 builds on its ability to reduce code sprawl, eliminate lock-in and minimize security exposures. Newly added in 1.13 are Go and Javascript SDKs to the Dapr Workflow API which allow developers to run fault-tolerant durable executions. Developers can now also use Rust to run Dapr Actors, a stateful and highly-scalable programming model. Kubernetes users will get improved security and the ability to perform updates of Dapr components without needing to restart their applications, a highly-requested community feature.
“The Dapr 1.13 release focuses on the stability of the project as a whole, allows Go and Javascript developers to use workflows and offers great quality-of-life improvements to Kubernetes users including a better security posture," said Yaron Schneider, co-creator of Dapr and founder and chief technology officer at Diagrid.
Dapr is a set of integrated APIs with built-in best practices and patterns to build distributed applications. It increases developer productivity by 20-40% with features such as workflow, pub/sub, state management, secret stores, external configuration, bindings, actors, distributed lock, and cryptography. Dapr enables developers to benefit from its built-in security, reliability, and observability capabilities, so they don't need to write boilerplate code to achieve production-ready applications.
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