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Oracle Cloud Infrastructure Online Training | OCI Course
OCI Compute Services and
Key Features Explained Clearly
A beginner-friendly guide to cloud compute on Oracle Cloud Infrastructure
PROFESSIONAL TRAINING
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Introduction to OCI Compute
1 OCI Compute runs applications using cloud infrastructure
2 Supports virtual machines and bare metal instances
3 Resources can match different workload requirements
4 Shapes define processor, memory, and related resources
5 Compute supports scalable application deployment
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Core Concepts of OCI Compute
1 An instance is a running compute resource
2 Shapes define allocated CPU, memory, and resources
3 Virtual machines provide isolated software environments
4 Bare metal provides dedicated physical server resources
5 Images provide operating systems and configurations
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Key Components of OCI Compute
1 Compute instances run applications and operating systems
2 Compute shapes determine capacity and performance characteristics
3 Boot volumes store the operating system
4 Block volumes provide persistent application data storage
5 VCNs and VNICs provide network connectivity
6 Instance pools manage groups of similar instances
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How OCI Compute Works
1 Choose a region and compartment for deployment
2 Select an image and suitable compute shape
3 Configure networking, storage, and security settings
4 Launch the instance and connect to it
5 Deploy applications and monitor resource usage
6 Scale resources when workload requirements change
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Tools and Technologies
1 OCI Console provides graphical resource management
2 OCI CLI enables command-line resource management
3 OCI SDKs support infrastructure automation
4 Compute APIs enable programmatic resource operations
5 Cloud Shell provides browser-based command-line access
6 Autoscaling automates capacity management
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Real-World OCI Compute Use Cases
1 Host web applications and enterprise application servers
2 Create development and testing environments quickly
3 Run batch processing and scheduled workloads
4 Support high-performance computing workloads
5 Run GPU-enabled workloads for accelerated processing
6 Deploy scalable applications using instance pools
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Benefits and Challenges
1 Flexible shapes help match resources to workloads
2 Multiple processors support diverse application needs
3 Scaling can improve performance during demand changes
4 Automation reduces repetitive infrastructure administration
5 Incorrect sizing can increase cost or limit performance
6 Security configuration requires careful operational practices
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Career Opportunities and Future Trends
1 Cloud engineers manage compute infrastructure and deployments
2 DevOps engineers automate provisioning and delivery
3 Cloud architects design scalable OCI environments
4 Administrators manage operating systems and security
5 Key skills include Linux, networking, OCI, and automation
6 Future trends emphasize containers and intelligent scaling
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Summary and Conclusion
1 OCI Compute provides scalable infrastructure for workloads
2 Instances can be virtual machines or bare metal
3 Shapes control compute capacity and resource allocation
4 Storage and networking work closely with Compute
5 Automation and autoscaling support efficient operations
6 Strong fundamentals prepare learners for OCI careers
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