DEVOPSdigest

Oracle announced new capabilities to help customers accelerate the development of applications and deployment on Oracle Cloud Infrastructure (OCI).

Oracle Code Assist, an AI code companion to help increase developer velocity, is now available through the Oracle Beta Program. The new capabilities will help developers boost productivity in addressing daily tasks within the software development lifecycle. In addition, new enhancements to OCI Kubernetes Engine (OKE) optimize training, deploying, and managing AI workloads at scale.

Deployed as a plugin for JetBrains IntelliJ IDEA or Microsoft Visual Studio Code, Oracle Code Assist will provide developers with intelligent suggestions to help them build and optimize applications written in modern programming languages, including Java, Python, JavaScript, SuiteScript, Rust, Ruby, Go, PL/SQL, C#, and C.

"These new capabilities turbocharge application development, empowering developers to leverage AI to help reduce the time spent on mundane tasks that are inherent to software development," said Sudha Raghavan, SVP, Developer Platform, Oracle Cloud Infrastructure. "Thousands of Oracle engineers are using Oracle Code Assist in their daily work to create boilerplate code, build and run unit tests, generate documentation, and receive answers to coding questions."

Key aspects of Oracle Code Assist include:

- Java optimization: Helps developers build new Java applications and assists in updating legacy applications to enhance application resilience, performance, and security. This is available in the Oracle Code Assist beta.

- NetSuite SuiteScript optimization: Enables developers to build extensions and customizations with NetSuite SuiteScript. Oracle Code Assist is planned to be available to NetSuite customers within the next year.

Newly announced capabilities for OKE simplify the deployment and management of AI workloads and other cloud native application deployments on OCI, including:

- Ubuntu support: Helps MLOps teams simplify the deployment and streamline the management of AI workloads. With support for Ubuntu images for containers now included, developers can deploy a GPU-based workload directly as an Ubuntu image rather than refactor it into a different OS image.

- Oracle Cloud Guard Container Security enhancements: Helps developers identify security problems and develop faster remediation methods by extending monitoring capabilities to identify problems down to the container level. This provides a secure and governed container runtime environment by automating the enforcement of security policies.

- OCI Logging Analytics integration: Helps developers improve usability and provides better observability by enabling Logging Analytics for OKE workloads.

- Node health checks and cycling: Will help cluster operators to ensure worker nodes are healthy and updated by providing data to monitor cluster health and more options to take actions on nodes based on that data.