AntStack’s Post

Hitting walls with serverless deployments? .... Frustrated by runtime limitations or packaging restrictions? AWS Lambda’s support for container images could be the solution you need. Instead of being constrained by Lambda’s runtime environment, imagine the freedom to bring your own custom dependencies, tools, and configurations—without compromising on performance. With Lambda’s support for container images up to 10 GB, you can run complex applications and microservices seamlessly. Here’s where the advantage kicks in: whether you’re using AWS-provided images with preloaded runtimes, minimal OS base images, or your own custom builds, your Lambda functions get more flexibility and control. Simply push your image to Amazon Elastic Container Registry (ECR), and Lambda handles the scaling, maintenance, and infrastructure for you. This is serverless innovation that adapts to your needs, not the other way around. How would having this kind of flexibility change the way you approach serverless architecture? Follow ADRIAN T. for more content on AWS, devops, AI/ML  #AWSLambda #Serverless #CloudInnovation #Containerization #AWS

Hey connections...!! I would like to share that as part of my learning #devopsjourney I have completed the basics of #kubernetes. Today I have created a Kubernetes cluster on #AWS using #Kops, and AWS CLI. I have used the local domain #k8slocal for clusters. Here's a glimpse of our tech stack : ⚙️ Tech Stack Highlights: AWS:- Using S3 buckets and #EBS volumes. Kubernetes (K8s): Our container orchestration platform of choice, providing scalability, resilience, and flexibility. Kops: Managing our Kubernetes clusters on AWS with ease and efficiency. 🔧 The Process: AWS CLI Setup: Configured AWS CLI for seamless interaction with AWS services, enabling smooth deployment and management. EKS Cluster Creation: Utilized Kops to create an Elastic Kubernetes Service (EKS) cluster on AWS, ensuring high availability and fault tolerance. Kubernetes Operations: Managed and operated our Kubernetes clusters effectively using Kops, ensuring stability and performance. 🌐 Benefits & Impact: Scalability: Easily scale our applications based on demand, thanks to Kubernetes' scalability features. Reliability: Achieve high availability and reliability with AWS infrastructure and Kubernetes orchestration. Cost-Efficiency: Optimize resource utilization and costs with dynamic scaling and efficient management. Innovation: Empower our teams to innovate rapidly and deploy new features seamlessly with a robust tech stack.

🚀 DevOps Journey Day 16: Exploring AWS Lambda! 🚀 Today, I explored AWS Lambda, a powerful serverless computing service that allows you to run code without the need for provisioning or managing servers. This deep dive into Lambda revealed its incredible utility for automating infrastructure tasks, enabling event-driven architectures, and optimizing cost efficiency. By integrating Lambda functions with other AWS services like S3, DynamoDB, and API Gateway, I discovered how to create seamless, scalable, and efficient applications. Excited to leverage AWS Lambda for building robust, serverless solutions in my DevOps projects! 🌟 #DevOps #AWS #Lambda #Serverless #CloudComputing #TechLearning #DevOpsJourney #Automation

Day 2 of 100 days of the DevOps challenge Introduction to SNS (simple notification service in AWS) - what is sns? - what is topic ? - How to send a notification via Email, SMS.. when an event occurs using: > AWS Console > AWS CLI > Terraform #100dayschallenge #100daysofdevops #devops #aws #awscloudclubs #awscloud #challenge

🚀 Kubernetes Meets Serverless: Deploying Event-Driven Architectures with Kubernetes APIs At AWS re:Invent, I attended a fantastic session that delved into how to deploy serverless event-driven architectures (EDAs) using Kubernetes APIs. Many organizations are juggling both Amazon EKS and AWS serverless services, and it can be challenging to support both platforms while maintaining efficiency. This session showcased how to: 🔄 Deploy serverless, event-driven architectures using Kubernetes APIs with tools like ACK. ⚙️ Extend existing Kubernetes platforms to deploy composable serverless architectures for more efficient workflows. 💻 Empower developers to move fast by giving them easy access to their preferred technology stack. 💡 Streamline processes and eliminate disjointed tools, improving overall efficiency and agility. This session provided actionable insights on how to combine the flexibility of Kubernetes with the speed of serverless to deliver faster and more scalable applications! 🌥️ The integration of serverless with Kubernetes can reduce friction and allow teams to innovate faster, regardless of technology choice. #AWSreInvent #Serverless #Kubernetes #EKS #EventDrivenArchitecture #ACK #CloudNative #DevOps #TechInnovation #zeb #AWS #CloudInnovation #TechLeadership #CloudOptimization

Choosing Between ECS and EKS for Container Orchestration: When to Choose ECS: If your application comprises fewer than 5 microservices and relies heavily on AWS services, ECS offers a streamlined solution. Its tight integration with AWS simplifies management, making it ideal for teams without a dedicated DevOps person. When to Choose EKS: For applications with more than 5 microservices, plans for scalability, and a dedicated DevOps person, EKS shines. It provides advanced orchestration capabilities, ensuring flexibility and scalability as your infrastructure grows. Moreover, if you require advanced features like logging, metrics monitoring, tracing, and profiling, EKS’s rich ecosystem of tools is invaluable. Ultimately, the choice boils down to your application’s complexity, scalability needs, and the resources available for managing your containerized environment. Whether ECS or EKS, AWS offers robust solutions to empower your container orchestration journey. #ContainerOrchestration #AWS #ECS #EKS #DevOps

🌐 Optimizing DevOps with AWS Lambda 🌐 In the world of modern DevOps, AWS Lambda stands out as a game-changer for automating workflows, reducing costs, and improving scalability. 🚀 What is AWS Lambda? AWS Lambda is a serverless compute service that allows you to run code without provisioning or managing servers. You simply upload your code, define events that trigger it, and Lambda automatically handles the infrastructure for you. 🔧 How Lambda Transforms DevOps: Cost Efficiency: You pay only for the compute time you consume. No need to worry about idle resources. Scalability: Lambda automatically scales to meet demand, handling bursts of traffic seamlessly. Faster Time-to-Market: By focusing on the code and not the infrastructure, teams can accelerate application development and deployment cycles. ⚙️ Use Cases in DevOps: Automating deployment pipelines. Real-time data processing and event-driven applications. Handling backend tasks like authentication, notifications, or API requests in microservices architectures. By leveraging AWS Lambda, DevOps teams can drive innovation while reducing operational overhead, leading to faster, more efficient deployments. 🔍 Are you utilizing AWS Lambda in your DevOps processes? Let’s connect and discuss its impact on your workflows! #AWS #Lambda #Serverless #DevOps #Cloud #Automation #CI_CD #TechInnovation

💡 Did you know? Companies with high-performing DevOps teams achieve - 4x faster lead times, - 3x deployment frequencies and - 3x quicker failure recovery times, than their low-performing counterparts. Our latest blog delves into key AWS DevOps cost optimization strategies, including: ➡ Right-sizing resources to avoid overspending ➡ Spot Instances for cost-effective workloads ➡ Savings Plans for long-term savings 👉 Read more and discover how to optimize your AWS DevOps approach! https://lnkd.in/gMpYUbzY #cloudcostoptimization #AWS #DevOps #AWSDevOps #AWSCloud #FinOps #techblog #blog #article #cloudblog #research #insights

🌟 Excited to share my latest achievement! 🌟 I've successfully completed the CloudOps Container Clustering: Implementing Container Orchestration in DevOps certification. This course deepened my understanding of: 🔹 Dynamic application-level orchestration and resource allocation. 🔹 Deploying and managing microservices using container orchestration tools. 🔹 Working with platforms like Docker Swarm, Amazon ECS, Fargate, and Azure Kubernetes Service (AKS). 🔹 Designing multi-cloud and multi-cluster architectures. 🔹 Leveraging orchestration for CI/CD pipelines and scaling cloud environments. Looking forward to applying these skills in real-world projects and contributing to cutting-edge DevOps solutions. 🚀 #DevOps #CloudComputing #Kubernetes #ContainerOrchestration #Certification

⚖️ AWS DevOps Best Practices for Scalability 🚀 As your business grows, scalability becomes crucial for maintaining seamless performance. AWS offers powerful tools like EC2 Auto Scaling and Elastic Load Balancing to help you handle increased workloads effortlessly. By implementing Auto Scaling, you can automatically adjust your compute resources based on demand, while Elastic Load Balancing ensures high availability by distributing traffic across multiple instances. Together, these tools allow you to scale dynamically, delivering a reliable user experience no matter how large your user base grows. What strategies do you use to ensure scalability in your DevOps architecture? 💡 #AWS #DevOps #Scalability #AutoScaling #CloudComputing #CloudArchitecture