Shrilata reddy

Getting started with Sservice Mesh - What features can you expect. Shweta Vohra talks us through some of the core features you get from a service mesh. #Kubernetes #ServiceMesh #Security #Networking

4

As Kubernetes celebrates its 10th anniversary in 2024, we proudly reflect on our journey from a two-member team in 2017 to a 30-strong group of Kubernetes experts, trusted by major enterprises for mission-critical workloads. Explore our achievements and impact on the Kubernetes ecosystem.   Ashish Thakur Rajeev Reddy Jaggavarapu Mohit Bahl   #Kubernetes #KubernetesAnniversary #containers #CloudComputing #DevOps 

40

Don't miss Toshal Khawale at #KCDHyderabad! Dive into #karpenter, the OSS solution for efficient Kubernetes scaling 📈. Learn how it streamlines instance orchestration and optimizes cloud resources, making your clusters faster and more cost-effective. #Kubernetes #CloudNative #AWS

21

🚀 Project Spotlight: AWS S3 Cross-Region Replication and Cost Optimization 🚀 I have just completed an exciting project utilizing AWS S3 to enhance data availability and cost efficiency. Here's a quick overview of what I accomplished: 🔹 Cross-Region Replication: Set up replication between two S3 buckets—one in the Ireland region and another in Frankfurt. This ensures data redundancy across regions for improved disaster recovery. 🔹 Replication Configuration: Successfully replicated all existing objects from the Ireland bucket to the Frankfurt bucket. Configured automatic replication of any new objects uploaded to the Ireland bucket, ensuring seamless synchronization across regions. 🔹 Lifecycle Policy: Implemented a lifecycle policy to delete objects in the Frankfurt bucket after 30 days, optimizing storage costs while maintaining a copy for disaster recovery needs. 🔹 Bucket Encryption: Enabled encryption on both Ireland and Frankfurt buckets and their contents to secure data at rest, enhancing compliance and security measures. 💡 Technologies used: AWS S3, IAM, and AWS Management Console. This project highlighted the importance of cross-region data replication, cost management, and data security in cloud storage solutions. Excited to apply these skills to future cloud projects! #AWS #S3 #CloudStorage #DataReplication #CostOptimization #DataSecurity #CloudInfrastructure Cloud Career Mentor Fayomi F.Mohammed Khair

6

6 Comments

Ready to revolutionize your cloud infrastructure management? Explore the power of Terraform, an essential Infrastructure as Code (IaC) tool for automating cloud infrastructure provisioning and management. 🔧💻 https://lnkd.in/d3QJ4wwm Here are some key takeaways: - Easily scale up or down infrastructure resources with Terraform. - Ensure consistency across different environments using Terraform. - Version control your infrastructure configurations for a clear history of changes. 🔄 Discover more about Terraform and start your journey towards mastering cloud infrastructure automation with CloudInstitute.io ! #Terraform #InfrastructureAsCode #CloudComputing #AWS #DevOps #Automation #CloudInstitute #Azure #GCP #IAC

8

Event-Driven Ansible with the existing Ansible Subscription for your disaster recovery scenarios. Ansible Automation Platform with IBM Lightspeed playing a crucial role for getting started with Ansible and automating the deployments & operations with AI. #AnsibleAutomate #EDA #AAP #DevOps #GenAI #REDHAT #APACHEevents

11

Terraform to set up an AWS VPC Transit Gateway, enabling seamless connectivity and communication between multiple VPCs within your AWS infrastructure. #aws #terraform https://lnkd.in/d-ibN4iC

1

Follow this to learn about migrating monolith applications to containers, modernising applications, remediating CVEs etc..

15

Kubernetes RE Series Lesson 6 Retire (Decommission) How CloudCasa can help?         ✅ With CloudCasa, one can safely archive data from retired applications, ensuring compliance with data retention policies and providing options for data recovery if needed in the future. ✅ With Support for Object Lock and SafeLock(API Lock), you can prevent accidental deletion of the decommissioned data for a defined period of time. #kubernetes #objectlock #apilock

5

Yahoo’s Kubernetes Journey from on-Prem to Multi-Cloud   🎯 Key Innovations:     - Migrated from on-prem infrastructure to a multi-cloud ecosystem with GCP and AWS.     - Developed ‘Omega’ interface simplifying app deployment to Kubernetes clusters.     - Introduced ‘Cadence’ tool for seamless cluster creation across multiple clouds.    💡 Notable Features:     - **Omega YAML**: A simplified deployment template ensuring quick app setups.     - **Cadence Tool**: A Golang-based tool for managing EKS and GKE workloads without deep cloud provider knowledge.     - **Node Manager Operator**: Automates Kubernetes version upgrades while maintaining workloads.    🛠️ Perfect for:     - Cloud Engineers     - Kubernetes Administrators     - DevOps Teams     - Platform Engineers     - Organizations transitioning to multi-cloud environments    ⚡️ Impact:     - Enhanced deployment efficiency by streamlining application setups.     - Achieved significant cost reduction for operations in cloud environments.     - Facilitated rapid responses to infrastructure changes and reduced upgrade times from months to weeks.    🔍 Preview of the Talk:     Nandhakumar Venkatachalam and Payal Patel from Yahoo discuss the company's transition from a traditional on-prem environment to a cutting-edge multi-cloud strategy using Kubernetes. They delve into the challenges faced, such as networking and security, while showcasing breakthrough tools like Omega and Cadence. The talk emphasizes how these innovations enhance user experiences and streamline operations. Participants will gain valuable insights into effective cloud strategies and operational efficiencies in Kubernetes environments. Watch the full session: https://lnkd.in/gcZS--rY

1

Cloud-Based Face Recognition using AWS Rekognition with Terraform and Python Boto3 integration! 🔐 https://lnkd.in/dDMTxf6m Leveraged Terraform for seamless AWS infrastructure provisioning, creating a robust foundation for the project. Integrated Boto3 for Lambda function deployment and dynamism, ensuring scalability and flexibility. 💡 AWS Rekognition: Beyond face recognition, Rekognition offers a plethora of AI-driven functionalities, including object detection, facial analysis, text recognition, and celebrity recognition. Its advanced capabilities empower developers to build innovative applications across diverse domains. Boto3: Powering Seamless Integration in Cloud-Based Face Recognition In the development of my cloud-based face recognition project, Boto3 emerged as a critical component, playing a pivotal role in seamlessly integrating various AWS services into the application architecture. Amazon S3 (Simple Storage Service): Utilized for storing images uploaded to the system, serving as a central repository for image data. AWS Lambda: Employed to execute serverless functions triggered by events, such as image uploads to Amazon S3, enabling dynamic image processing. Amazon DynamoDB: Leveraged as a NoSQL database for storing and managing face index data, facilitating fast and efficient information retrieval. AWS CloudWatch: Potentially utilized for monitoring and logging of system events, providing insights into system behaviour and performance.

30

migrate on-premises workloads with AWS Application Migration Service #migration #cloudEndure #cloudmigration #awssysops #devops #awscloud

5

In this clip, Dinesh Nithyanandam gives a brief overview of the OSI Model and its relevance to traffic routing during Canary deployments. #slo #observability #reliability #sre #devops #engineering

2

1 Comment

Creating a dynamic inventory for load balancing using Ansible. https://lnkd.in/ddieVSwx #Ansible #Automation #HAProxy

17

Shifting to Terraform is the first piece of the puzzle. Automating and governing cloud infrastructure with Terraform is the next level. ControlMonkey offers the most comprehensive Terraform Automation solutions for companies with large-scale environments. With tools for shifting 1000s of cloud resources to Terraform in a few clicks, Terraform CI/CD, Cloud Asset Inventory, AI-powered Drift Detection & Remediation, and many more, ControlMonkey is the one-stop-shop to manage and govern your cloud with Terraform truly. We invite you to Booth #348 for a technical discussion about Terraform, Automation, Cloud Governance, and everything in between. If you're managing large-scale environments and looking to increase your cloud team efficiency while reducing risks, drop by our booth and learn more about us. (: Looking forward to seeing you there. 😎 You can book a time to meet us there: https://lnkd.in/dgaVARYi #aws #devops #terraform #opentofu #reinvent

3

Understanding Kubernetes Auto-Scaling: HPA and VPA In Kubernetes, managing scaling efficiently is crucial for maintaining application performance and optimizing resource utilization. In this article, we’ll delve into the fundamental concepts of auto-scaling, focusing on Horizontal Pod Autoscaling (HPA) and Vertical Pod Autoscaling (VPA), and explore how these mechanisms can help you manage your Kubernetes workloads effectively.

18

Part 2- Replica of Netflix App as container on Kubernetes-Installing Prometheus and Grafana on AWS EC2 instance. ##aws ##prometheus ##grafana ##ec2

2

I developed a serverless API utilizing AWS Lambda, DynamoDB, and API Gateway, with CloudWatch Logs enabled for the Lambda function. To automate the updating of resume data in DynamoDB, I implemented a CI/CD pipeline using GitHub Actions. Additionally, I streamlined the setup by using Terraform to manage all infrastructure as code, eliminating the need for manual configuration in the AWS console. This setup ensures that resume data is updated seamlessly whenever changes are pushed to the repository, allowing efficient management of infrastructure with a clear separation between provisioning and deployment. Here is a link to my GitHub repo: https://lnkd.in/d2naWSqR and the link to my API gateway URL: https://lnkd.in/d4GpXTqq Thanks to Ifeanyi Otuonye, MBA and Rishab Kumar for organizing The Cloud Resume API Challenge. 𝗖𝗵𝗮𝗹𝗹𝗲𝗻𝗴𝗲 𝗗𝗲𝘁𝗮𝗶𝗹𝘀: Check out the previous post for details on The Cloud Resume API Challenge —> https://lnkd.in/eB3YZm-f 𝗥𝗲𝘀𝗼𝘂𝗿𝗰𝗲𝘀: YouTube Guides: - Cloud Resume API Challenge - https://lnkd.in/g7qptvgF - AWS Cloud Resume API Challenge - https://lnkd.in/gm7R7cA6 - GCP Cloud Resume API Challenge - https://lnkd.in/gZH9ySnd Documentation Guide - https://cloudresumeapi.dev

24

1 Comment