School of Kubernetes

Website

infracloud.io

$ Details

-

Categories

#Software Engineering #Developer Tools #Tech #Cloud Computing #Open Source

AWS Lambda

Website

aws.amazon.com

$ Details

Categories

#Cloud Computing #Cloud Hosting #Business & Commerce #Object Storage

School of Kubernetes features and specs

• Comprehensive Curriculum
  The School of Kubernetes offers a thorough curriculum that covers the fundamentals as well as advanced topics, providing a solid foundation and deeper understanding of Kubernetes.
• Experienced Instructors
  Courses are taught by experienced professionals from InfraCloud, ensuring that the content is not only theoretical but also practical and industry-relevant.
• Hands-on Learning
  Emphasis on practical, hands-on labs and real-world scenarios helps students gain practical skills and experience needed to work with Kubernetes effectively.
• Flexible Learning Options
  Offers self-paced and instructor-led formats to cater to different learning preferences and schedules.
• Certification Preparation
  Specifically designed to help students prepare for Kubernetes certification exams, providing relevant study materials and support.

Possible disadvantages of School of Kubernetes

• Cost
  Courses may be expensive for individuals or small businesses with limited training budgets.
• Intensive Workload
  For beginners, the comprehensive and intensive nature of the courses might be overwhelming and require a significant time investment.
• Internet Connectivity Requirement
  Requires a reliable internet connection for accessing course materials and participating in live sessions, which can be a limitation for some learners.
• Limited Availability
  Instructor-led sessions may have limited availability, requiring students to plan and enroll ahead of time to secure a spot.
• Technical Prerequisites
  Assumes a certain level of prior technical knowledge, which may not be suitable for absolute beginners in IT or cloud technologies.

AWS Lambda features and specs

• Scalability
  AWS Lambda automatically scales your application by running your code in response to each trigger. This means no manual intervention is required to handle varying levels of traffic.
• Cost-effectiveness
  You only pay for the compute time you consume. Billing is metered in increments of 100 milliseconds and you are not charged when your code is not running.
• Reduced Operations Overhead
  AWS Lambda abstracts the infrastructure management layer, so there is no need to manage or provision servers. This allows you to focus more on writing code for your applications.
• Flexibility
  Supports multiple programming languages such as Python, Node.js, Ruby, Java, Go, and .NET, which allows you to use the language you are most comfortable with.
• Integration with Other AWS Services
  Seamlessly integrates with many other AWS services such as S3, DynamoDB, RDS, SNS, and more, making it versatile and highly functional.
• Automatic Scaling and Load Balancing
  Handles thousands of concurrent requests without managing the scaling yourself, making it suitable for applications requiring high availability and reliability.

Possible disadvantages of AWS Lambda

• Cold Start Latency
  The first request to a Lambda function after it has been idle for a certain period can take longer to execute. This is referred to as a 'cold start' and can impact performance.
• Resource Limits
  Lambda has defined limits, such as a maximum execution timeout of 15 minutes, memory allocation ranging from 128 MB to 10,240 MB, and temporary storage up to 512 MB.
• Vendor Lock-in
  Using AWS Lambda ties you into the AWS ecosystem, making it difficult to migrate to another cloud provider or an on-premises solution without significant modifications to your application.
• Complexity of Debugging
  Debugging and monitoring distributed, serverless applications can be more complex compared to traditional applications due to the lack of direct access to the underlying infrastructure.
• Cold Start Issues with VPC
  When Lambda functions are configured to access resources within a Virtual Private Cloud (VPC), the cold start latency can be exacerbated due to additional VPC networking overhead.
• Limited Execution Control
  AWS Lambda is designed for stateless, short-running tasks and may not be suitable for long-running processes or tasks requiring complex orchestration.

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