Serverless Computing and Container Orchestration Training
Serverless Computing and Container Orchestration Training is a 2-day course where participants learn the fundamentals of serverless computing and container orchestration as well as learn how to implement serverless solutions and containerized applications for scalable and cost-effective deployments.
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Serverless Computing and Containers are some of the most popular technologies for deploying applications.
Used correctly, serverless computing and containers help developers deploy applications quickly while spending less money.
Serverless computing, also known as Function as a Service (FaaS), is a cloud-based execution model where the cloud provider takes care of the dynamic allocation and provisioning of resources, ensuring that developers only pay for the exact usage.
This innovative approach relieves organizations from the burden of managing servers or infrastructure, freeing up valuable time and resources to focus on core application development and deployment.
With serverless computing, developers have the flexibility to write functions in popular languages like Node.js, Python, and Java, which are then seamlessly executed in the cloud environment.
Container orchestration, on the other hand, refers to a lightweight and portable way to package and run applications. They contain all the necessary components for an application to run smoothly, including code, runtime environment, system tools, libraries, and settings. Containers provide a standardized environment for applications to operate in, making it easier for them to be deployed and managed on different systems.
Containers are becoming increasingly popular in the software development and deployment process due to their many advantages, including portability, scalability, and efficiency. They have revolutionized how applications are built, delivered, and run, making it easier for organizations like Visa to keep up with the rapid pace of technological advancements.
Despite being very different technologies, containers and serverless have some common aspects. For example, both containers and serverless allow you to:
- Deploy application code consistently every time
- Save the overhead and complexity of virtual machines
- Abstract applications from the underlying host environment
- Automate and dynamically scale workloads
Additionally, serverless computing offers effortless scalability and cost optimization, making it ideal for event-driven workloads and bursty traffic.
Containers provide portability, isolation, and efficient resource utilization, enabling seamless application deployment and management.
Serverless Computing and Container Orchestration Training by Tonex
Serverless Computing and Container Orchestration Training is a comprehensive course designed to equip professionals with the knowledge and skills required to effectively leverage serverless technologies and container orchestration platforms.
This course will delve into the intricacies of these innovative approaches to application deployment and management, enabling participants to harness the full potential of modern cloud computing and containerization.
Learning Objectives: By the end of this training, participants will be able to:
- Understand the fundamentals of serverless computing and container orchestration.
- Implement serverless solutions and containerized applications for scalable and cost-effective deployments.
- Effectively manage and orchestrate containers using popular tools and platforms.
- Optimize resource utilization and reduce operational complexities in cloud environments.
- Secure applications and data within serverless and containerized architectures.
- Troubleshoot common issues and improve the performance of serverless and containerized applications.
Audience: This course is ideal for:
- IT professionals seeking to enhance their cloud computing knowledge.
- DevOps engineers and system administrators interested in containerization and serverless technologies.
- Software developers looking to build scalable and efficient applications.
- Cloud architects aiming to design robust and scalable cloud solutions.
- Technology managers and decision-makers responsible for cloud strategy.
- Anyone interested in staying updated with the latest trends in cloud computing.
Course Outline:
Introduction to Serverless Computing and Container Orchestration
- Overview of serverless computing
- Understanding containerization and orchestration
- Benefits and use cases of serverless and containers
- Serverless vs. traditional computing models
- Key container orchestration platforms
- Selecting the right technology for your use case
Serverless Computing Fundamentals
- Serverless architecture components
- AWS Lambda, Azure Functions, and Google Cloud Functions
- Event-driven programming and triggers
- Serverless application design best practices
- Building and deploying serverless functions
- Monitoring and debugging in a serverless environment
Containerization Basics
- Introduction to containers and Docker
- Container images and registries
- Container runtimes and orchestration
- Creating and managing Docker containers
- Networking and storage in containerized environments
- Security considerations in containerization
Container Orchestration with Kubernetes
- Introduction to Kubernetes
- Clusters, nodes, and pods
- Deploying and scaling applications with Kubernetes
- Service discovery and load balancing
- Monitoring and logging in Kubernetes
- Handling failures and self-healing in Kubernetes
Serverless and Container Security
- Security challenges in serverless and containers
- Identity and access management
- Secure coding and best practices
- Container image scanning and hardening
- Serverless and container security tools
- Compliance and auditing in cloud-native environments
Optimization and Troubleshooting
- Resource optimization and cost management
- Scaling strategies for serverless and containers
- Debugging and troubleshooting common issues
- Performance tuning and monitoring
- Implementing continuous integration and continuous delivery (CI/CD)
- Disaster recovery and backup strategies in serverless and container environments