General AI
VMware | November 08, 2023
VMware updates Spring framework and Tanzu platform with AI and machine learning.
Enhancements include DORA metrics, Spring Boot 3.2, Spring Framework 6.1, and new machine learning and AI capabilities in Tanzu Data Services.
These updates aim to streamline application development, reduce costs, and enhance security for modern operating models in the generative AI economy.
On November 7, 2023, VMware introduced the latest updates to its Spring framework and Tanzu platform, aiming to empower software development teams to build higher-performing applications that leverage cutting-edge technology like AI and machine learning more efficiently and securely. The enhancements are designed to streamline application development, reduce costs, and improve security while accommodating modern operating models such as cloud containers and serverless environments.
Purnima Padmanabhan, Senior Vice President and General Manager of Modern Apps and Management Business Group at VMware remarked that the velocity of innovation is what differentiates companies from the competition. The next-generation apps’ value will be elevated through new capabilities like ML and AI and scalability across any cloud. She added that they have been focusing on providing developers with exceptional tools and experiences for decades. As they mark the 20th anniversary of Spring, their latest enhancements and deep integration to the Tanzu Platform give application teams the ability to leverage more cutting-edge technologies like AI in new apps and take these apps to production safely, quickly, and more securely.
The Tanzu platform now incorporates DORA metrics to track software delivery performance and greater transparency in the developer portal. The integration of VMware Tanzu Spring Runtime into Tanzu Application Platform enhances the Java application development experience. Tanzu Application Service 5.0 offers new features, such as a Postgres tile for DBaaS and AI support.
Spring-related updates include Spring Boot 3.2 and Spring Framework 6.1, which enable GraalVM native images for better app runtime scalability, energy efficiency, and RAM consumption. Spring AI simplifies AI application development using the familiar Spring Framework, and Tanzu Spring Health Assessment helps organizations identify security issues in their Spring application portfolio.
Tanzu Data Services enhancements add machine learning and AI capabilities to data services. Tanzu Intelligence Services now include VMware Tanzu CloudHealth for achieving cloud sustainability goals, VMware Tanzu Guardrails for continuous compliance, and VMware Tanzu Application Catalog for open-source content security.
The Tanzu platform will continue to integrate into a common control plane, VMware Tanzu Hub, offering a refreshed user experience, integrated observability, migration planning and assessments, cost reports, and enhanced Intelligent Assist capabilities. These updates aim to help organizations develop, operate, and optimize modern applications more effectively in the generative AI economy.
Read More
AI Tech, General AI, Software
Prnewswire | July 26, 2023
RapDev, an Elite ServiceNow engineering consultancy for enterprise technology solutions released Digi, an open-source Coding Assistant for ServiceNow, with free access for the ServiceNow community. Digi grants ServiceNow developers a GitHub co-pilot experience on the platform, making code generation and debugging effortless, while continuing to drive innovation within the ServiceNow ecosystem.
"LLMs have been in the wild. The tricky part is enabling their output to create meaningful change in a technical environment, in a controlled and configurable way. I have never been prouder of a team of engineers. They delivered the foundation of an open-source AI future for the entire ServiceNow ecosystem. This is just the beginning!", said Kyle Brueckner, Engineering Manager at RapDev.
By offering a flexible and configurable framework to leverage AI in modern operations, developers can benefit from spending less time writing code, and more time automating testing and debugging to innovate faster with ServiceNow. Live on GitHub, ServiceNow developers can now access key features:
Connect to popular models or AI engines like Codex, Bard, or private Starcoder stacks.
Customize prompts, prefixes, and postfixes for messages sent to the AI engine
Complete traceability for every AI action performed on the platform.
Validate changes to ensure modifications to your environment are accurately assessed before implementation.
How Digi works
A simple user-interface allows a ServiceNow developer to submit a statement, which in turn returns an AI-generated block of code that can be easily inserted into any ServiceNow development scripts. A developer can review, insert, test, and accept the block of code within seconds, saving them minutes or even hours of manual development.
The road ahead for Digi
Pre-trained data collation: Streamline the preparation of structured pre-training data by leveraging relevant and publicly available information from your ServiceNow instance.
Starcoder in a box: Offer Infrastructure-as-Code (IaC) for a plug-and-play Starcoder stack, enabling you to securely train sensitive data.
Test-Driven Development: Enable Digi to build solutions on the platform based on ATF (Automated Test Framework) tests until the tests pass.
AI Actions: Extend Digi's use cases beyond code generation and harness its vast data resources to provide contextual insights for workflow creation, ticket handling, and real-time incident analysis.
Join us in charting the future of AI on ServiceNow
RapDev invites all ServiceNow developers to access Digi on GitHub, star the repo and create a pull request to collaborate with the project team. Users are encouraged to attend the quarterly architectural board meetings hosted by RapDev to further the conversation about where we can collectively take AI on ServiceNow, together.
About RapDev
Founded in 2019, RapDev has become the go-to partner for cloud-native software implementations of ServiceNow and Datadog at Fortune 1000 organizations. Through extensive experience working with domestic and international organizations to drive time-to-value and ROI on DevOps investments for highly regulated environments, RapDev optimizes software release cycles and ensures availability for cloud-native applications. RapDev expertly guides organizations through their DevOps transformations from beginning to end.
Read More
eWeek | April 23, 2019
VMware is including the Pod Security Policy capability, which is still considered to be a beta feature in the open-source Kubernetes cloud-native container orchestration project, as a supported component in its enterprise-grade Kubernetes platform. VMware announced version 1.4 of Enterprise PKS on April 23, bringing new functionality to help organizations operationalize the cloud-native Kubernetes container orchestration platform. PKS, which is an acronym for the Pivotal Container Service, is a joint product effort from VMware and its partner Pivotal, integrating Kubernetes with components from Pivotal as well as VMware. The PKS 1.4 update is based on the Kubernetes 1.13 release and integrates new security and automation capabilities, as well as the inclusion of VMware's NSX-T 2.4 virtual networking technology. "NSX-T 2.4 is included with a VMware Enterprise PKS license," Scott Buchanan, senior director of the Cloud Native Apps Business Unit at VMware, told eWEEK. "Part of the value of VMware Enterprise PKS is that the components—including NSX-T—are integrated, validated and more readily deployed by the customer." PKS was launched in August 2017 and has received multiple incremental updates over the past year and a half. The previous release was PKS 1.3,which was announced on Jan. 16, integrating support for Kubernetes 1.12.
Read More