NANTHAKRISHNAN G K’s Post

Howdy folks 👋 🚀 Day 24 of #30DayCloudChallenge 🖥 ☁ 🚀 Deploying AWS Lambda Versions with AWS CodeDeploy! 🚀 I'm thrilled to share my recent experience of deploying a new version of an AWS Lambda function using AWS CodeDeploy. This seamless process ensures that updates to serverless functions are deployed efficiently and with minimal downtime. What I Learned: 💡 The importance of automation in managing serverless function deployments. 💡 Best practices for versioning and deploying Lambda functions using AWS tools. 💡 The efficiency and reliability that AWS CodeDeploy brings to the deployment process. Step-by-Step Setup: 1.Created a Lambda Function: Developed and deployed a Lambda function to handle specific tasks. 2.Published a New Lambda Version: Published a new version of the Lambda function to capture the latest updates. 3.Set Up CodeDeploy: Created a CodeDeploy application and deployment group tailored for Lambda deployments. 4.Defined Deployment Specifications: Crafted an AppSpec file to outline the deployment process and specify the target Lambda version. 5. Deployed the Lambda Version: Initiated the deployment using CodeDeploy and monitored the process to ensure a smooth transition. Stay tuned for more tips and tricks to optimize your AWS infrastructure management. Happy cloud computing! ☁️🚀 Thanks to AWS Cloud Club St.Joseph's Group of Institutions and special thanks to KARTHI M for kickstarting this wonderful journey. #30DaysCloudChallenge #PEPCloudChallenge #AWSCloud

💥Unveiling the Power of AWS!💥 🚀 Exciting News! 🚀 I’m thrilled to share that I recently attended an insightful workshop on Amazon Web Services (AWS) applications organized by NxtWave Academy. 🌐 This experience has been incredibly enriching, and I’m eager to share some key highlights: ✨ Key Learnings: 1. AWS key services: Gained a deep understanding of AWS's core services, including EC2, Cloudfront Technologies, and S3, and how they interconnect to provide robust cloud solutions. 2. Industry Applications: Explored how leading companies leverage AWS to innovate, scale, and optimize their operations efficiently. Learning from real-world use cases provided a clear picture of AWS’s transformative impact. 3.Hands-On Deployment: Successfully deployed my first application using EC2 for compute, S3 for storage, and CloudFront for content delivery. This practical experience solidified my understanding of these powerful tools and their applications. ➡ Here's the link for my Application [https://lnkd.in/eFzrV4tz] 🌟 Achievements: 1. EC2: Launched and managed instances, gaining insights into the flexibility and scalability of AWS compute resources. 2. S3: Utilized S3 buckets for secure and scalable storage solutions. 3. CloudFront: Implemented CloudFront to enhance application performance through efficient content delivery. This workshop was an excellent opportunity to enhance my cloud computing skills and gain hands-on experience with AWS services. I’m excited to apply this knowledge to future projects and continue exploring the vast possibilities of AWS. A big thank you to NxtWave Academy for organizing such a comprehensive and engaging workshop! 🙏 Which AWS service interests you the most? Comment below!! Revanth Gopi Konakanchi Rahul Attuluri #AWS #CloudComputing #EC2 #S3 #CloudFront #NxtWaveAcademy #TechWorkshop #LearningJourney #CloudApplications

🚀🚀Just wrapped up an incredible AWS Mega Workshop and I'm thrilled to share some highlights with you all!✨ 🔍During the workshop, I developed deep into the significance of AWS in today's tech landscape. From startups to Fortune 500 companies, it's amazing to see how AWS is transforming businesses worldwide.🥳 💡We explored key components of cloud computing such as application servers, database file storage, DNS, and CDN. Understanding these fundamentals is crucial for anyone venturing into the cloud space.✨✨ 🌏We also delved into major cloud providers like AWS, Azure, and GCP, but what stood out for me was the in-depth focus on AWS. Learning about core services like EC2, Lambda, RDS, S3, Route53, and CloudFront was both enriching and eye-opening.✨ 👨🎓Immensely grateful to hashtag #Sanjay Tiwary sir for sharing invaluable insights throughout the workshop. Learning from seasoned professionals like him is truly inspiring.🚀🥳 🖥️And the best part? I got hands-on experience with AWS by deploying my project using key services like S3 and CloudFront. It was a rewarding experience that deepened my understanding of AWS's capabilities. 🔑Excited to leverage this newfound knowledge and take my AWS journey to new heights!💼 Rahul Attuluri NxtWave #nxtwave #awsworkshop # building application # deeplearning # AWS #cloudcomputing #technology # learninganddevelopment

Hey, everyone! ✨ Kicking off Day 2 of the 30-Day Cloud Challenge: Here’s a creative guide to setting up your first DynamoDB table in AWS! POC:2 Step-by-Step Blueprint: 1. Sign In: Head over to the AWS Console and log in to start your cloud journey. 2. Find DynamoDB: Type "DynamoDB" in the search bar and dive into the service. 3. Table Creation Time: Navigate to "Tables" and tap Create Table. 4. Table Setup: Name It: Give your table a unique identifier. Define Keys: Set a Partition key and add an optional Sort key for organization. 5. Customize Your Table: Select Default or Custom settings. Choose Provisioned or On-Demand capacity, based on your workload. Pick encryption settings: use default or go custom. 6. Enhance Settings: Add Global/Local Secondary Indexes if needed. Tag your table to keep everything organized. 7. Review & Launch: Double-check the configuration, then click Create Table to bring it to life. 8. Watch the Magic: Once created, find your table under "Tables" to start exploring. A heartfelt shoutout to my mentors, Nandan S and Latchiya Raman, for their invaluable guidance on this path. Ready to conquer the cloud, one day at a time! 🚀 PEP Cloud Computing (AWS/ Azure/ Google) and DevOps Centre Computing (AWS/Azure/Google) and DevOps Centre #CloudComputing #DynamoDB #AWS #POC #30DaysChallenge

Hey, everyone! ✨ Kicking off Day 2 of the 30-Day Cloud Challenge: Here’s a creative guide to setting up your first DynamoDB table in AWS! POC:2 Step-by-Step Blueprint: 1. Sign In: Head over to the AWS Console and log in to start your cloud journey. 2. Find DynamoDB: Type "DynamoDB" in the search bar and dive into the service. 3. Table Creation Time: Navigate to "Tables" and tap Create Table. 4. Table Setup: Name It: Give your table a unique identifier. Define Keys: Set a Partition key and add an optional Sort key for organization. 5. Customize Your Table: Select Default or Custom settings. Choose Provisioned or On-Demand capacity, based on your workload. Pick encryption settings: use default or go custom. 6. Enhance Settings: Add Global/Local Secondary Indexes if needed. Tag your table to keep everything organized. 7. Review & Launch: Double-check the configuration, then click Create Table to bring it to life. 8. Watch the Magic: Once created, find your table under "Tables" to start exploring. A heartfelt shoutout to my mentors, Nandan S and Latchiya Raman, for their invaluable guidance on this path. Ready to conquer the cloud, one day at a time! 🚀 PEP Cloud Computing (AWS/ Azure/ Google) and DevOps Centre Computing (AWS/Azure/Google) and DevOps Centre #CloudComputing #DynamoDB #AWS #POC #30DaysChallenge

Hey, everyone! ✨ Kicking off Day 2 of the 30-Day Cloud Challenge: Here’s a creative guide to setting up your first DynamoDB table in AWS! POC:2 Step-by-Step Blueprint: 1. Sign In: Head over to the AWS Console and log in to start your cloud journey. 2. Find DynamoDB: Type "DynamoDB" in the search bar and dive into the service. 3. Table Creation Time: Navigate to "Tables" and tap Create Table. 4. Table Setup: Name It: Give your table a unique identifier. Define Keys: Set a Partition key and add an optional Sort key for organization. 5. Customize Your Table: Select Default or Custom settings. Choose Provisioned or On-Demand capacity, based on your workload. Pick encryption settings: use default or go custom. 6. Enhance Settings: Add Global/Local Secondary Indexes if needed. Tag your table to keep everything organized. 7. Review & Launch: Double-check the configuration, then click Create Table to bring it to life. 8. Watch the Magic: Once created, find your table under "Tables" to start exploring. A heartfelt shoutout to my mentors, Nandan S and Latchiya Raman, for their invaluable guidance on this path. Ready to conquer the cloud, one day at a time! 🚀 #PEP Cloud Computing (AWS/ Azure/ Google) and DevOps Centre Computing (AWS/Azure/Google) and DevOps Centre #CloudComputing #DynamoDB #AWS #POC #30DaysChallenge

🌟 Excited to share that I've successfully completed the AWS Academy Cloud Architecting course! 🌟 After 60 hours of in-depth learning, I’m thrilled to have gained new insights into cloud architecture and AWS best practices. This course has not only strengthened my understanding of scalable, resilient cloud solutions but also fueled my passion for backend and serverless architectures. A big thank you to the AWS Academy for this enriching experience. Onwards and upwards to implementing these skills in real-world projects! 🚀 #AWS #CloudArchitecting #CloudComputing #AWSAcademy #CloudArchitecture #Serverless #BackendDevelopment

HELLO LINKS!! Embarking My 30 days of Cloud Challenge!! 💫 Day21: Amazon Neptune STEPS:   ->Choose Neptune in AWS Management Console Navigate to the AWS Management Console. Select Amazon Neptune from the list of services. ->Create a Neptune DB Cluster Click on *Create database Choose your preferred configuration for the DB cluster. Click Create database to initiate the process. ->Configure Network Settings Ensure your Neptune cluster is within a VPC. ->Set Up IAM Roles Create or choose an existing IAM role with necessary permissions. ->Load Data into Neptune Use Amazon S3 for bulk loading your data into Neptune. ->Start Querying with Gremlin/ SPARQL Connect to your Neptune endpoint using a graph query language of your choice. Execute queries to interact with your data and gain insights. ->Monitor and Maintain.   Excited to continue exploring cloud computing possibilities! 💻☁✨ Big thanks to the AWS CLOUD CLUB St.Joseph's Group Of Institutions for orchestrating such an engaging 30-day cloud challenge! Grateful for the opportunity to learn and grow together. Day 21 of #30dayscloudchallenge #AWS #PEPCloudChallenge #LearningJourney #TechEducation #StJosephsGroupofInstitutions #HandsOnLearning #TechCommunity #30DaysChallenge #AWSchallenges #StudentBuildAWS #PEPChallenge

🎉 I'm thrilled to announce that I've successfully completed the AWS Academy Cloud Foundations certificate! 🚀 This journey has been incredibly rewarding, offering hands-on experience through comprehensive labs and in-depth learning modules. I've delved into essential cloud concepts such as Virtual Private Cloud (VPC) and cloud storage, gaining a solid understanding of why cloud technology is a game-changer in today's digital landscape. Moreover, I've explored a range of advanced AWS features, including: EC2 Instances: Mastering the setup and management of virtual servers. Amazon Redshift: Understanding data warehousing solutions for large-scale data analysis. S3 Storage: Leveraging scalable storage solutions for various data needs. IAM (Identity and Access Management): Implementing secure access controls. AWS Lambda: Diving into serverless computing to run code without provisioning servers. Elastic Load Balancing: Ensuring high availability and fault tolerance for applications. RDS (Relational Database Service): Managing relational databases in the cloud with ease. The certificate program has equipped me with the skills to design, deploy, and manage applications on AWS, and I'm excited to bring this knowledge to real-world projects. Feel free to check out my certificate here: https://lnkd.in/dAUxYKje. Looking forward to the next steps in my cloud journey and to applying these skills in innovative ways. #AWSCertified #CloudComputing #AWS #CloudFoundation #ContinuousLearning #TechJourney #CloudInnovation

🚀 Day 17 of my #30DaysCloudChallenge: Automating File Management with AWS Lambda, S3, and DynamoDB! Today, I developed a system to streamline file handling by uploading files to an S3 bucket and storing their metadata in DynamoDB. Here's how it was done: Step 1: Created an S3 bucket to store files securely, ensuring it had the necessary permissions for the Lambda function to upload data. Step 2: Built an AWS Lambda function to accept file inputs, extract metadata such as name, type, and size, and prepare it for storage in DynamoDB. Step 3: Set up a DynamoDB table to save the metadata, including attributes like filename, file type, file size, and timestamp for easy tracking. Step 4: Configured IAM role permissions for the Lambda function to interact securely with both S3 and DynamoDB. Step 5: Tested the solution with sample file uploads to confirm that metadata was successfully stored in DynamoDB and files were uploaded to S3. A heartfelt thank you to the AWS Cloud Club St.Joseph's Group of Institutions, PEP Cloud Computing (AWS/ Azure/ GCP) and DevOps Centre, and my mentors Jey Aakash and Gokul M for their invaluable guidance and support throughout this journey. #AWS #Lambda #S3 #DynamoDB #Serverless #Day17 #FileManagement #CloudInnovation