Rajkumar Muthusamy

Basics of VPC Lattice...Very nicely articulated https://lnkd.in/dh2AzERt

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🌟 Why Terraform is a Game-Changer for Infrastructure as Code (IaC) 🌟 In the rapidly evolving world of DevOps and cloud computing, managing infrastructure efficiently is paramount. One tool that stands out in this domain is Terraform. Here are some key benefits of using Terraform as your IaC tool: 1. Infrastructure as Code (IaC): Terraform enables you to define your entire infrastructure in configuration files. This approach not only enhances visibility but also ensures consistency across environments. 2. Platform Agnostic: With support for multiple providers like AWS, Azure, GCP, and many others, Terraform allows you to manage a diverse set of infrastructures seamlessly. 3. Version Control: Terraform configuration files can be stored in version control systems (like Git), making it easy to track changes, collaborate with team members, and roll back to previous versions if needed. 4. Efficient Change Management: Terraform’s plan and apply workflow lets you preview changes before applying them. This reduces the risk of unintentional modifications and ensures that the changes are executed as intended. 5. Scalability: Terraform’s modular design allows you to break down your infrastructure into reusable components, making it easier to manage and scale complex environments. 6. Community and Ecosystem: Terraform has a robust community and a rich ecosystem of modules and providers. This means you can leverage a wide range of pre-built solutions and best practices to accelerate your infrastructure deployment. 7. State Management: Terraform maintains a state file that tracks your infrastructure's current state. This ensures that your configuration files are always in sync with the actual infrastructure, allowing for precise updates and auditing. 8. Automated Infrastructure Testing: Integrating Terraform with CI/CD pipelines facilitates automated testing of your infrastructure changes, enhancing the reliability and stability of your deployments. 🔗 Whether you're a startup or an enterprise, adopting Terraform can significantly streamline your infrastructure management processes, improve collaboration, and reduce operational overhead: https://www.terraform.io/ Ready to transform your infrastructure management? Dive into Terraform today and experience the future of IaC! 🚀 #devops #cloudcomputing #infrastructureascode #terraform #IaC #cloudinfrastructure #automation #devopstools

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Maturing Istio Ambient: Compatibility Across Various Kubernetes Providers and CNIs #WorkSmartWithK8s #kubernetes #istioambientmesh #kubernetesproviders #cni #compatability https://lnkd.in/eSiUWEPQ

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🚀 Exciting Announcement: Launching My New Blog Series on AWS Cloud! 🌩️ With over 5 years of professional experience, including nearly 3 years dedicated to AWS Cloud at HPE R&D and currently at Philips, I've delved deep into cloud computing. Throughout my journey, I've seen many juniors and colleagues struggle with understanding and utilizing cloud technologies effectively. 🌐 Why AWS Cloud? AWS Cloud has transformed IT infrastructure with scalable, reliable, and cost-effective solutions. From compute power and storage options to networking capabilities and machine learning, AWS offers an extensive suite of services that drive innovation and digital transformation. 🌱 Introducing My Blog Series on AWS Cloud! https://lnkd.in/dPGsiv6Q I'm excited to launch a blog series dedicated to AWS Cloud, aiming to demystify cloud concepts, provide practical insights, and offer hands-on tutorials. Whether you're a beginner or a seasoned professional, there's something for everyone. 🔹 What to Expect: >Foundational Concepts: Basics of AWS and cloud computing. >Core Services: Deep dives into EC2, S3, RDS, Lambda, and more. >Best Practices: Tips for optimizing performance, security, and cost. >Compute: In-depth exploration of AWS compute services. >Storage Options: Insights into AWS storage solutions. >Networking: Comprehensive look at AWS networking capabilities. >Load Balancing and Auto Scaling: Techniques to manage traffic and scale applications. >Real-World Use Cases: Case studies from my own experience. Two articles are already released—Introduction to AWS and AWS Compute. Check them out! Stay tuned for more topics, from storage options and networking to load balancing, auto-scaling, and much more. Let's embark on this cloud adventure together and unlock new possibilities with AWS! 🌟 #AWS #CloudComputing #BlogSeries #TechInsights #DigitalTransformation #AWSCloud #LearningJourney #CloudInnovation

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🌟 Simplifying AWS with Step Functions Express Workflows! . Lately, I have had to manage some CRUD operations on DynamoDB triggered by S3 events. . Initially, my go-to solution was setting up a Lambda function, orchestrated by EventBridge rules. . Sounds familiar, right? . But then, I thought of a slicker approach that promised to be cheaper, more straightforward, and easier to maintain: . 👉 Step Functions Express Workflows, triggered directly from EventBridge. . . Here's why I'm now a big fan of using Express Workflows instead of Lambda for these tasks: . 👉 Direct Hits You can integrate directly with AWS services like DynamoDB. Imagine doing all your database operations without writing extra code for Lambda functions. Cool, right? . 👉 Keep It Simple No extra code means less maintenance. It’s all about making things easier and clearer. Who doesn’t want that? . 👉 Save That Cash Express Workflows can be more cost-effective than using Lambdas, especially since you don’t have to worry about cold starts. . 👉 Crystal Clear The workflow's visual setup makes it super easy to see what’s happening at each step. Total transparency! . 👉 Speedy Gonzales No cold starts mean your workflows run smoother and faster. Who likes waiting anyway? . . Switching to Step Functions for stuff like DynamoDB operations has seriously simplified how I manage AWS tasks. It’s straightforward, efficient, and lets me focus more on the big picture. 🌍 . Thinking of simplifying your AWS routine? Give Express Workflows a shot, and tell me how it goes! 🎯 #AWS #StepFunctions #Serverless #AWScommunity

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🎉 I just earned the "Optimize Costs for Google Kubernetes Engine" Skill Badge! 🎉 I can now: 🔹 Create and manage multi-tenant clusters 🔹 Monitor resource usage by namespace 🔹 Configure cluster and pod autoscaling for efficiency 🔹 Set up load balancing for optimal resource distribution 🔹 Implement liveness and readiness probes to ensure application health and cost-effectiveness Labs Completed: 1. Managing a GKE Multi-tenant Cluster with Namespaces    ・Optimized resource utilization with multi-tenant clusters using namespaces. 2. Exploring Cost-optimization for GKE Virtual Machines    ・Strategized VM utilization and optimized machine types for cost savings. 3. Understanding and Combining GKE Autoscaling Strategies    ・Deployed horizontal and vertical autoscaling to maintain efficiency and availability. 4. GKE Workload Optimization    ・Enhanced resource efficiency and application availability with load balancers, probes, and pod disruption budgets. 5. Optimize Costs for Google Kubernetes Engine: Challenge Lab    ・Applied all learned skills in a challenging scenario, achieving 100% completion! #AccessControl #ApplicationDeployment #ApplicationTraffic #Autoscaling #CloudArchitecture #GKE #Kubernetes #LoadBalancing #Logging #Looker #NodePools #Pods #VirtualMachines #GoogleCloud #TechSkills #LearningJourney #CostOptimization https://lnkd.in/gZSNW4Gj

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In the world where we are used to treat resources as limitless it is important to remember that POCs and even small MVPs we do - are not in fact free cheese. Cloud time and compute time do cost a lot when come at scale - may be not straight from developer’s pocket , but for enterprise - absolutely . Try to do things locally - if you need to wait for few minutes vs ‘almost instant ‘ result with more powerful hardware on cloud - it’s ok. It gives you time to stop and think . You can’t give excuse of ‘ well it runs here for 10s but we can scale this in cloud and it will be 800ms without trying to understand why things are slow. These latencies do build up in complex systems. Local run is perfect opportunity to try to tune things and investigate why things are indeed slow. Overnormalizes databases , autogenerated queries , chaining calls to microservices , locking up on shared resources - causes are rather usual and categories are pretty much same . Overcome them with good design and programming discipline and you just saved money for your company and grief for yourself and your team in long run when you support solutions .

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🚀 Exciting News! 🚀 AWS announced the launch of granular cost visibility for Amazon Elastic Kubernetes Service (Amazon EKS) in the AWS Cost and Usage Reports (CUR)! Now, you can analyze, optimize, and charge back costs and usage for your Kubernetes applications like never before. 💡 With AWS Split Cost Allocation Data for Amazon EKS, customers gain the ability to allocate application costs to individual business units and teams based on how Kubernetes applications consume shared EC2 CPU and memory resources. Here's what you can expect: ✨ Granular Cost Visibility: Dive deep into your Kubernetes application costs and usage to understand exactly where your resources are being utilized. ✨ Enhanced Optimization: Identify areas for optimization and efficiency improvements to ensure you're making the most out of your AWS resources. ✨ Streamlined Chargeback: Allocate costs accurately to different business units and teams, empowering you to track expenses and manage budgets effectively. And the best part? Split Cost Allocation Data for Amazon EKS is available to customers in all AWS commercial regions (excluding China regions) at no additional cost! 🌍 Learn more about how AWS Split Cost Allocation Data for Amazon EKS can benefit your organization today. #AWS #AmazonEKS #Kubernetes #CostVisibility #Optimization #CloudComputing #AWSNews #CloudManagement #TechInnovation https://lnkd.in/eDA22N8h

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Every now and then, I have been asked this question by many DevOps engineers: What's the significance of system design in DevOps? I have tried explaining from my perspective, but what if we could get expert insights from Sarat Buddhiraju, Chief Architect at bigbasket.com. In this video, we tried to explain why it's crucial for DevOps engineers to have a strong grasp of system design in order to thrive in their career. Please leave your feedback on the video. #devops #systemdesign #devopsmindset Watch the video here: https://lnkd.in/gn62VZTY

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Amazon Web Services (AWS) has introduced new features in AWS Compute Optimizer service as Resizing, RDS sizing (Beta) Recommendations with cost optimization. #aws #awscloud #costoptimization #computeoptimizer #rds #finops

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Want to know more about optimizing cloud resources with Elastic and Tines? Check out this step-by-step guide on setting up Elastic Observability and Tines to optimize AWS EC2 instance performance, so you can achieve better performance and cost efficiency: https://lnkd.in/g8qTpvD4

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Terraform's Import block functionality will help give a lot of companies the ability to bring their existing infrastructure under a unified code base. Now with the ability to use for_each inside their import block this video shows a cool way to utilize that feature to build on top of your existing pipelines without having to re-engineer anything.

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Kubernetes FinOps: Right-sizing Kubernetes workloads #WorkSmartWithK8s #kubernetes #aws #eks #finops #rightsizing #autoscaling https://lnkd.in/e8pRvMPr

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Check our (Arun Chandapillai and Parag Nagwekar) latest blog on DynamoDB Observability and Fine grained access control. https://lnkd.in/gSTcrRh9

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