Amazon Web Services announced that support for .NET and Java is now generally available in the AWS Cloud Development Kit (CDK), which uses an infrastructure-as-code approach to help AWS cloud developers model and provision cloud application resources via services such as AWS CloudFormation.
The new ArangoDB Oasis managed service is a paid add-on that gives enterprises tools to easily deploy and manage their ArangoDB cluster deployments.
The Eclipse Foundation unveiled a new working group focused on software development tools for and in the cloud. The aptly named Eclipse Cloud Development Tools Working Group (ECD WG) "will drive the evolution and broad adoption of emerging standards for cloud-based developer tools," according to the group's charter.
IBM has announced that in the next month its cloud-based quantum computing online offering will include a new 53-qubit quantum computer.
Microsoft on Tuesday announced the general availability of the Vision AI Developer Kit, including a camera, which uses Qualcomm's Vision Intelligence 300 Platform, and the software needed to develop intelligent edge solutions using Azure IoT Edge and Azure Machine Learning.
Azul Systems has released a new version of Zing, its flagship Java runtime, optimized for container and cloud deployments. Zing 19.07 eliminates the requirement for Zing's ZST memory management kernel module, and extends its performance and throughput advantage when executing ad hoc and query-based workloads.
Earlier this week the Google Cloud Platform (GCP) team announced the alpha release of Cloud SQL for Microsoft SQL Server.
IBM today announced that its software portfolio is now "cloud-native" for all major cloud platforms thanks to Red Hat's OpenShift enterprise Kubernetes container solution.
Amazon Web Services last week announced the "live" release of two new Internet of Things services that it had previewed at its re:Invent conference back in November 2018.
On Thursday Microsoft announced a number of improvements to its Azure cloud platform designed to give developers increased capabilities for AI, machine learning, mixed reality, blockchain and Internet of Things (IoT) solutions, via both hybrid cloud and edge architectures.
Quarkus is a lightweight, high-performance framework designed to significantly reduce the footprint and latency of Java applications, specifically for cloud-native architectures such as microservices, containers and serverless.
Mendix, one of the leading vendors in the enterprise low-code development space, has boosted its dev platform with new integration tapping into IBM Cloud services, including Watson AI cognitive services.
Google today announced the general availability of its Cloud Firestore NoSQL document database for the growing serverless computing space in the cloud where there's no need to manage infrastructure.
Simmering tension between the open source community and increasingly dominant cloud platforms came to light with the introduction of the new DocumentDB managed service by Amazon Web Services, which uses open source MongoDB code.
New cloud development survey finds different workloads targeting private, hybrid and public cloud platforms, with the latter dominated by mobile apps.
Mobile development using the Amazon cloud is undergoing a transformation, with a new site, new tools and new functionality to support iOS, Android, React Native and other apps.
IBM announced on Sunday plans to acquire leading enterprise open source software provider and long-time Java Community Process leader Red Hat in a $34 billion stock deal.
The new R&D Showcase Kit addresses an ongoing enterprise challenge: interoperability issues between Azure Logic Apps and existing JMS-based messaging infrastructure.
Azul Systems and Microsoft announced a new strategic partnership that will allow Java developers on Azure and Azure Stack to build and run production Java applications using the commercially supported edition of Azul's flagship Java runtime, Zulu Enterprise.
Hortonworks, IBM and Red Hat announced the Open Hybrid Architecture Initiative, seeking to provide a common enterprise deployment model to enable Big Data workloads to run across hybrid on-premises, multi-cloud and edge architectures.