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πŸš€Do you want to build scalable, cost-effective, and event-driven applications without managing any servers?πŸš€

πŸ‘‡Then you need to learn how to use serverless functions on AWS Lambda, Azure Functions, or Google Cloud FunctionsπŸ‘‡


1. What are serverless functions?
Serverless functions are pieces of code that run in response to events, such as HTTP requests, database changes, queue messages, or timers. They are executed on a managed pool of compute resources by a cloud provider, such as AWS, Azure, or GCP.

2. What are the benefits of serverless functions?
Serverless functions have many benefits for developers and businesses, such as:
πŸ“Œ No servers to provision, configure, or maintain
πŸ“Œ Pay only for the execution time and resources used
πŸ“Œ Automatic scaling based on demand
πŸ“Œ Faster development and deployment cycles
πŸ“Œ Easier integration with other cloud services and APIs

3. How to use AWS Lambda?
AWS Lambda is the most popular and mature serverless platform, launched in 2014. It supports code written in Node.js, Python, Java, Go, Ruby, .NET Core, and custom runtimes. It can be triggered by various AWS services, such as S3, DynamoDB, Kinesis, SQS, SNS, API Gateway, and more.

To use AWS Lambda, you need to:

πŸ“Œ Write your function code using the AWS SDK or any third-party library
πŸ“Œ Package your code and dependencies into a ZIP file or a container image
πŸ“Œ Upload your code to AWS Lambda using the AWS CLI, SDK, Console, or Serverless Framework
πŸ“Œ Configure your function settings, such as memory, timeout, IAM role, environment variables, etc.
πŸ“Œ Test your function using the AWS Console or SDK
πŸ“Œ Invoke your function using an event source or manually


4. How to use Azure Functions?
Azure Functions is the serverless platform of Microsoft Azure, launched in 2016. It supports code written in C#, Java, JavaScript, TypeScript, Python, PowerShell, and custom handlers. It can be triggered by various Azure services, such as Blob Storage, Cosmos DB, Event Hubs, Service Bus, HTTP requests, and more.

To use Azure Functions, you need to:

πŸ“Œ Write your function code using the Azure SDK or any third-party library
πŸ“Œ Package your code and dependencies into a ZIP file or a container image
πŸ“Œ Upload your code to Azure Functions using the Azure CLI, SDK, Portal, or Visual Studio Code
πŸ“Œ Configure your function settings, such as memory size, timeout, authentication level, environment variables etc.
πŸ“Œ Test your function using the Azure Portal or SDK
πŸ“Œ Invoke your function using an event source or manually

5. How to use Google Cloud Functions?

Google Cloud Functions is the serverless platform of Google Cloud Platform (GCP), launched in 2017. It supports code written in Node.js, Python, Go,
Java, .NET, Ruby, and custom runtimes.
It can be triggered by various GCP services, such as Cloud Storage, Firestore, Pub/Sub, HTTP requests, and more.

To use Google Cloud Functions, you need to:

πŸ“Œ Write your function code using the Google Cloud SDK or any third-party library
πŸ“Œ Package your code and dependencies into a ZIP file or a container image
πŸ“Œ Upload your code to Google Cloud Functions using the gcloud CLI, SDK, Console, or Firebase CLI
πŸ“Œ Configure your function settings, such as memory size, timeout, IAM role,
environment variables etc.
πŸ“Œ Test your function using the Google Cloud Console or SDK
πŸ“Œ Invoke your function using an event source or manually


6. It's a wrap:

Serverless functions are a powerful way to build scalable, cost-effective, and event-driven applications without managing any servers.

You can choose from three major cloud providers:
AWS Lambda, Azure Functions, or Google Cloud Functions, depending on your preferences and requirements.

I hope you enjoyed this thread and learned something new. If you did,
please like, retweet, and share it with your friends and colleagues.

Thank you for reading! πŸ™

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πŸš€ Learn Azure Step by Step (Byte size videos) πŸš€

01. High Availability (https://youtu.be/JpsYg8y2c7o)
02. Scalability, Elasticity, Agility (https://youtu.be/nb8jOUMd5rs)
03. Fault Tolerance & Disaster Recovery (https://youtu.be/AnH4pQ7jAOE)
04. CapEx Vs OpEx (https://youtu.be/WSBF19Ntf_I)
05. Economics benefits of the Cloud (https://youtu.be/umMrLK_qVgU)
06. Shared Responsibility Model (https://youtu.be/b5TZyN1Yqms)
07. Service Model - IaaS, PaaS, SaaS (https://youtu.be/uoEgR_kTjhE)
08. Compare Service Types (https://youtu.be/npjO5FccHys)
09. Serverless Computing (https://youtu.be/7hI_7xVX984)
10. Cloud Computing (https://youtu.be/oXpZdGr9zo8)
11. Deployment Model - Private, Public, Hybrid (https://youtu.be/zlqrLSjai5U)
12. Compare Deployment Models (https://youtu.be/cBlZIG4KBsg)
13. Region, Geographies & Region-Pairs (https://youtu.be/Kf201PlUNJc)
14. Availability Zone (https://youtu.be/YCDojRnY9rA)
15. Resource Group (https://youtu.be/nZBXchqq26A)
16. Subscription (https://youtu.be/uv5SrLvYy60)
17. Management Groups (https://youtu.be/7_H2bot4yIo)
18. Azure Resource Manager (https://youtu.be/D8kK56j2HJY)
19. Azure Resources (https://youtu.be/dzBQ0t4uSP4)
20. Azure Virtual Machine (https://youtu.be/jEK0K5ON3Bg)
21. Azure App Service (https://youtu.be/AM1hBCFmUKE)
22. Azure Container Instances - ACI (https://youtu.be/970ekGLSMQ0)
23. Azure Kubernetes Service - AKS (https://youtu.be/QIbZeZvdSy4)
24. Azure Virtual Network (https://youtu.be/CubYsn0qfrw)
25. Azure VPN (https://youtu.be/sKNX39KRlmI)
26. Azure Express-Route (https://youtu.be/oLKAavhiHUE)
27. Container (Blob) Storage (https://youtu.be/SUkpPMwmgPo)
28. Azure Disk Storage (https://youtu.be/BEm6zbhhysI)
29. Azure File Storage (https://youtu.be/gm47fU8tALo)
30. Azure Storage Tier (https://youtu.be/1-lAx26LAo4)
31. Azure Cosmos DB (https://youtu.be/MvaO6qfmvzU)
32. Azure SQL Database (https://youtu.be/9FpIp4Ssxak)


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Tech Fusionist (Tech : Cloud, DevOps, Cybersecurity, AI & more) pinned Β«πŸš€ Learn Azure Step by Step (Byte size videos) πŸš€ 01. High Availability (https://youtu.be/JpsYg8y2c7o) 02. Scalability, Elasticity, Agility (https://youtu.be/nb8jOUMd5rs) 03. Fault Tolerance & Disaster Recovery (https://youtu.be/AnH4pQ7jAOE) 04. CapEx Vs…»
Cybersecurity Design Principles Simplified:

βœ… Prevention: Cybersecurity design principles focus on preventing attacks. This includes things like implementing security controls, training employees, and monitoring for threats.

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βœ… Response: Cybersecurity design principles also focus on responding to attacks. This includes things like isolating infected systems, restoring data, and notifying law enforcement.

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βœ… Continuous improvement: Cybersecurity design principles are always evolving. This is because the threat landscape is constantly changing. As a result, cybersecurity design principles must be continually updated to stay ahead of the curve.

Keep Learning 🀞

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Learn Kubernetes (K8s) - Step by Step

1. What is Container - https://youtu.be/qkVLXNrcwHU

2. Container Orchestration - https://youtu.be/hresiIbikLk

3. What is Kubernetes - https://youtu.be/fIYLpk6ymDA

4. Core Concepts of Kubernetes (K8s) - https://youtu.be/lMSEbOF0RYU

5. Kubernetes Architecture - https://youtu.be/mgwxolw8bUQ

6. Kube API Server - https://youtu.be/Cpo71Nmp12A

7. What is ETCD in Kubernetes (K8s) - https://youtu.be/9X8byJhPlHg

8. What is Kube Controller Manager in Kubernetes - https://youtu.be/tRG19-JCpp8

9. What is Kube Scheduler in Kubernetes - https://youtu.be/L5wzeqkn9xk

10. What is Kubelet in Kubernetes? - https://youtu.be/26m1z3eEw5k

11. What is Kube Proxy in Kubernetes? - https://youtu.be/3uvqAt1-IBU

12. What is Pods in Kubernetes - https://youtu.be/HNd4Wg_jTvs

13. What is Yaml in Kubernetes - https://youtu.be/iH9twDj47aw

14. What is Replica Set in Kubenetes? - https://youtu.be/iXZXrpbRYsQ

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πŸ“Œ AWS CodeCommit
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πŸ”₯ DevOps Life Cycle (Quick Overview)

πŸ“Œ DevOps is a software strategy that bridges the gap between developers and IT staff
πŸ“Œ It allows organizations to release small features quickly and incorporate feedback
πŸ“Œ DevOps involves development, testing, and deployment of automated CI/CD pipelines

Phases of DevOps Life Cycle

πŸ“Œ Continuous Development:
Involves planning and coding of the software
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πŸ“Œ Continuous Testing: Software is continuously tested for bugs using automation tools
πŸ“Œ Continuous Deployment: Code is deployed on the production server

Benefits of DevOps Life Cycle

πŸ“Œ Better collaboration between teams
πŸ“Œ Increased efficiency and higher quality
πŸ“Œ Reduced failures and ability to make changes quickly in real-time

Tools used in DevOps Life Cycle

πŸ“Œ Version control system:
Git
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πŸ”₯Happy Friendship Day to all my dear friends πŸ”₯

We are friend in a journey to learn & grow together πŸ™Œ

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