Cloud native services enable you to build, run, and automate dynamic applications such as AI using containers, microservices, and scalable cloud infrastructure.
Build, deploy, and scale with OCI Kubernetes Engine (OKE) and flexible compute shapes.
Tap into your business-critical data stored in Oracle Database and HeatWave MySQL.
Easily infuse AI into your apps with API-based services such as OCI Generative AI.
Bring your own stack: Argo CD, GitHub, Jira, PostgreSQL, Redis, and others plug right in.
Functions, Kubernetes, OpenSearch, and other services are based on popular projects.
Get going quickly with tutorials, labs, reference architectures, and a vibrant community.
Accelerate innovation and time to market with CI/CD pipelines, serverless Functions, and managed Kubernetes. Boost performance and utilization while lowering cost.
Put the data you already own to work. Connect your apps to structured and unstructured data in Oracle Database, HeatWave MySQL, and object storage buckets.
Plug in to powerful prebuilt AI services to breathe new capabilities and intelligence into your applications. Start using generative AI, speech, language, vision, and more.
Use OKE to facilitate complex AI model training on vast quantities of GPUs. Automate model deployment, increase resiliency, and scale resources based on demand.
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OCI cloud native services enable you to quickly design and deploy container-based applications, microservices, and more.
Package, deploy, run, and scale containerized applications more efficiently—at 3X better cost performance.
A managed Kubernetes service with advanced security, high performance, and an option for a serverless experience with Virtual Nodes.
A serverless compute service that enables you to run containers easily and quickly without managing any infrastructure.
A serverless compute service that allows you to create, run, and scale event-driven applications without managing any infrastructure, paying only for compute time used during function execution.
A registry service to securely store, manage, and share container images with a familiar Docker CLI and API interface, with built-in security scanning and image signing.
Infuse AI into new or existing applications to support new use cases and unlock new value streams.
Comprehensive AI services and state-of-the-art generative AI innovations on our data platform and in our cloud applications—all on a best-in-class AI infrastructure.
Fully managed service for seamlessly integrating large language models (LLMs) into a range of use cases, such as writing assistance, summarization, analysis, and chat.
Combines the power of LLMs and retrieval-augmented generation (RAG) with your enterprise data, letting users query diverse enterprise knowledge bases.
Chatbots to deliver conversational experiences via your website, mobile apps, and business applications.
Sophisticated text analysis at scale—including sentiment analysis, key-phrase extraction, and classification.
Automatic speech recognition (ASR) and highly accurate transcription of audio/video files across languages.
Computer vision to detect visual anomalies, automatically classify images, extract text from docs, and more.
Extracts text, tables, and other key data from document files to automate tedious business processing tasks with prebuilt AI models to fit industry-specific needs.
Create, consume, secure, and manage the lifecycle of everything required for microservices to communicate with each other.
A managed, high availability API frontend gateway for deploying, operating, securing, and monetizing API services.
OCI Functions triggered on demand to connect to APIs, eliminating the need for infrastructure operations or over-provisioning.
CloudEvents-compatible service that tracks resource changes to trigger functions, write to streams, or send email, SMS, or other webhooks notifications.
High availability, low-latency publish/subscribe service that sends alerts and messages to OCI Functions, email, SMS, and message delivery partners, including Slack, PagerDuty, and ServiceNow.
Real-time, serverless, Kafka-compatible event streaming for developers and data scientists with pay-as-you-go pricing and zero-cost data movement between cloud services.
A serverless messaging service for securely autoscaling asynchronous, guaranteed message delivery; sends and receives messages using REST and STOMP endpoints.
Plug in and run whatever you need with full support for open source, third-party technologies, and ecosystem tools.
Development environment with option to plug in existing Dev tools or use built-in Code repository, Container Registry, Artifact Repository, Code Editor, Cloud Shell, and more.
Enables non-developers to easily extend Oracle business applications, build mobile apps, or add a GUI on top of databases via APEX or Visual Builder Studio.
Declarative serverless CI/CD pipelines to automate end-to-end delivery; includes secure deployments to private resources and options such as canary, rolling, and more.
In-console tool designed on Eclipse Theia framework for efficient source code editing.
As a developer or DevOps engineer, work with OCI’s REST APIs, CLI, SDKs, Cloud Shell, or via the intuitive GUI.
Connects tools already in use such as GitHub, GitLab, Jenkins, Ansible, Rancher, EFK, Spinnaker, etc. enables use of our IDE plugins for Visual Studio, Eclipse, and more, as well as OCI’s providers and operators for VMware Tanzu, Azure, Pulumi, and others.
Terraform-as-a-service to automate infrastructure as code
Leverage cost-optimized and high performance databases plus data science and blockchain.
Elastic MySQL database service that combines transactions, analytics and in-database ML all in one; automated operations and high performance significantly faster than RDS or Snowflake at a fraction of the cost.
Serverless, high performant Oracle Database service that runs all workloads, including OLTP, analytics, batch, JSON, Internet of Things (IoT), and more.
Predictable single-digit millisecond performance at scale, suitable for applications with dynamic I/O rate or for serverless applications; supports both schema and schemaless data models.
A full range of ML and GenAI innovations, including vector databases, fully integrated in Oracle’s data platforms, providing in-database tools and algorithms to build, manage, and deploy ML models.
End-to-end ML service enables data scientists to build, train, and manage ML models using their favorite open source frameworks and tools.
Based on the open source Hyperledger Fabric, Oracle’s managed service enables quick provisioning of a private, secure, preassembled blockchain network with a shared distributed ledger.
Benefit from the best support, out-of-the-box management, and enhanced performance for modernizing Java apps.
At no cost for Java applications running on OCI; Oracle GraalVM’s patented optimizations on top of open source GraalVM for an additional performance boost for modern microservices and existing Java applications.
All the benefits of the Java SE subscription, available for free on OCI.
Single pane of glass to manage large-scale Java environments for performance, security, and compliance.
Lightweight Java microservice application frameworks.
High performance OpenJDK and Java SE that’s optimal for microservices and cloud deployments, with prebuilt integration to cloud services.
Java EE environment deployment on OCI, including WebLogic Server on Kubernetes.
Enables caching for even faster performance.
All-in-one Java troubleshooting tool.
Wiz selected OCI in part due to Oracle’s commitment to open source.
Impulse Logic modernized their store optimization software to be cloud native.
Inworld chose OCI because of its AI infrastructure, OKE, and Oracle Support.
ALEF picked OCI as a cost-effective, scalable, and secure cloud-based solution.
8x8 delivers high-quality service with OCI’s flexible shapes and global regions.
CSM enjoys the performance and scale of OCI Supercluster and OKE for ML.
McGraw Hill launched a multicloud data center exit using OCI services.
Hear from OCI customers about their use cases and reference architectures for building on OCI.
Talk to us about your specific architecture, stack requirements, or business needs.