AWS Kubernetes CI/CD & Monitoring

@kuldeepvk

Hi, I will set up, manage and potentially troubleshooting your AWS service to ensure seamless data backup. I have 10 years of expertise in amazon web services. I can set up aws ec2, aws s3 and other amazon products with the best configuration, S3 bucket creation, mounting bucket to different EC2 instances, uploading contents into bucket, Expanding volume in live ec2 instance without data loss, DNS fail over and recovering it from same or different region , Backup of instances, database, volumes, Auto scalingin in which if any of the instance will stop responding then a copy of instance will be loaded so that there will be no down time, Monitoring services, Cloud front, it help us to load contents of website from near by location, Amazon Relational Database Services. Please discuss, Thank you.

@AbhishekSingh08

As an experienced Full-Stack Developer and DevOps Engineer, I perfectly match the level of expertise required for your project. I have hands-on experience in designing, implementing, and managing scalable applications using AWS resources like EC2, S3, and RDS. My proficiency with microservices architecture allows me to make informed decisions when setting up Kubernetes clusters on AWS. Whether through EKS or kops, I ensure your clusters are designed for resilience and high availability with auto-scaling and self-healing features. My substantial grasp on GitLab CI pipelines guarantees an efficient automated flow from code to deployment. Frequent code commits will trigger comprehensive tests, vulnerability scans and smooth rollouts to dev, staging, and prod environments. I also bring in-depth expertise in monitoring solutions like Prometheus, Grafana, and CloudWatch Metrics; I'll set up customized dashboards which would notify on critical events through actionable alerts on Slack or Email. Furthermore, having managed various project infrastructures similar to yours using IaC tools such as Terraform and Helm charts; I can provide infrastructure definitions for your entire project ready for version control with ease to recreate them anytime you want.

@antima5

Hi, We are AWS experts and certified and can do this. Please get in touch to start. Below are links for my previous aws projects. https://www.freelancer.in/projects/amazon-web-services/AWS-expert-required-support-project/reviews https://www.freelancer.in/projects/amazon-web-services/AWS-project-set-RDS-private/reviews https://www.freelancer.in/projects/amazon-web-services/Configure-Amazon-Security-permissions/reviews https://www.freelancer.in/projects/ruby-on-rails/Fix-Ruby-Rails-Deployment-AWS/reviews https://www.freelancer.in/projects/amazon-web-services/pipeline-multiregion-Europe-LATAM/reviews https://www.freelancer.in/projects/amazon-web-services/Migrate-from-AWS-Aurora-another/reviews https://www.freelancer.in/projects/amazon-web-services/AWS-Solution-Architecture-26899538/reviews https://www.freelancer.in/projects/amazon-web-services/Process-setup-for-cold-data/reviews https://www.freelancer.in/projects/python/Deploy-application-AWS-Elastic-Beanstalk/reviews https://www.freelancer.in/projects/linux/AWS-Installation-Review-Verification/reviews https://www.freelancer.in/projects/amazon-web-services/Seeking-AWS-Bash-Python-Expert/reviews https://www.freelancer.in/projects/amazon-web-services/Migrate-website-godaddy-hosting-aws/reviews Thanks

@swamyvaditya

Hi, I'm an experienced DevOps Engineer wit proficiency in GitLab, GitHub Actions, Docker, Kubernetes, Terraform, Helm, Kustomize, CI/CD, Observability with Prometheus and Grafana, and AWS including EKS, Auto Scaling, Load Balancer, CloudWatch, Lambda, API Gateway, etc. I can assist you in setting up a CI/CD using GitLab for automated testing, and deployment of your microservices application to dev, staging, and prod environments in EKS, with fully integrated Observabiliyt using Prometheus for metrics collection, and Grafana for visualization. Please contact me to discuss more about your project, and take it forward from here. Best regards, Swamy.

@kumarashish99

As an AWS-certified professional with a prime focus on DevOps engineering and Kubernetes orchestration, I am the ideal candidate for your AWS Kubernetes CI/CD & Monitoring project. I have over five years of experience treading the intricate path from code to production, making me adept at handling green-field microservices projects like yours. I have honed my skill sets in building scalable, secure, and high-performing cloud infrastructures that would benefit your project immensely. In previous engagements, I have successfully orchestrated AWS Kubernetes platforms such as EKS from scratch while leveraging automated build-test-deploy workflows in GitLab CI. Having these pipelines properly set-up allows me to ensure that every commit triggers essential steps like unit testing, container image builds, vulnerability scans, and rollout processes through staging namespaces. My robust knowledge and implementation style in areas of deployment, management, scaling on Kubernetes combined with my ability to choose appropriate monitoring tools will serve you well. To guarantee efficiency and ease future maintenance for you, all infrastructure and pipeline definitions will be defined in version-controlled Infrastructure as Code (IaC). Rest assured choosing me as your freelancer means you can trust that your microservices application is pushed live seamlessly while staying observable and passing health checkboxes thanks to my astute skills in setting up such projects.

@ssquare489

I am Sumit Joshi from Sacesta Technologies. · Recommended stack · EKS with managed node groups, cluster autoscaler, and pod autoscaling · IAM least-privilege via IRSA, scoped roles per namespace and service account · Terraform for AWS and EKS baseline, Helm for app and platform add-ons · GitLab CI with build, test, scan, and gated promotions · Observability: Prometheus + Grafana plus Alertmanager, with CloudWatch as backup for node and AWS signals · Core build · Production-ready cluster foundation with network policies, secrets management, and ingress · GitLab CI pipelines that run tests, build images, run vulnerability scans, and publish to ECR · Multi-environment rollout to dev, staging, prod namespaces with approvals and clear promotion gates · Deployment strategy with health checks, canary or blue-green where needed, and automatic rollback · Monitoring dashboards for pod health, latency, error rates, and resource usage · Alerts routed to Slack and email with actionable runbooks · Deliverables · Version-controlled IaC repo, Helm charts, and GitLab CI templates · Documented bootstrap steps to recreate the stack on demand · Handoff session covering ops, incident basics, and cost controls · Relevant work · I have delivered CI-driven deployments for containerized services with strict environment gating and live monitoring, including multi-module SaaS platforms where reliability and auditability mattered. Regards, Sumit Joshi

@keylor64

Hello Vinay, I understand your need for a seasoned DevOps engineer to establish a resilient Kubernetes environment on AWS. My recent project involved deploying a microservices application with similar requirements. I successfully set up an EKS cluster with auto-scaling and self-healing capabilities. A key challenge you mentioned is robust monitoring, which I tackled using Prometheus and Grafana for real-time insights. I can implement GitLab CI pipelines to ensure seamless deployments with unit tests and vulnerability scans. I am ready to start immediately and can ensure all configurations are version-controlled using Terraform. I’d love to discuss how I can help you achieve a smooth and observable rollout. Best regards, Keylor Carmona

@Linkmez

I am writing this because your request for a "green-field" EKS setup is exactly my sweet spot. I don't just "install Kubernetes"; I engineer resilient platforms using the same standards I applied at VNG (Unicorn). Your Challenge: You need a robust pipeline where code flows from `git push` to Production without fear. The real risk here isn't setting up the cluster—it's ensuring the "promotion gates" in GitLab CI are strict enough to catch issues before they hit your users. My Solution (The "Agency of One" Standard): I treat infrastructure as a product. I will deliver a fully Terraform-managed (IaC) stack: 1. Architecture: EKS (Managed Kubernetes) for self-healing nodes + auto-scaling groups. 2. The Pipeline: A GitLab CI/CD flow that builds, scans for vulnerabilities (Trivy), and deploys to `dev` -> `staging` -> `prod` with manual approval gates. 3. Observability: Not just "installing Grafana." I will configure AlertManager to ping your Slack only when it matters (High Latency, Pod CrashLoops), so you don't get alert fatigue. Why Me? I recently automated a similar microservices rollout on AWS. I don't just hand over keys; I hand over a system you can recreate with a single `terraform apply`. Question for You: Do you prefer using Helm Charts for your microservices packaging, or are you looking for a raw manifest approach? (I recommend Helm for versioning). I am near the top of your budget because I build it right the first time.

@abdf2010

Hello there, I reviewed your project AWS Kubernetes CI/CD & Monitoring and understood the requirements at a high level. I focus on delivering clear, stable, and maintainable solutions aligned with the actual scope, I can work with Ruby on Rails, Software Architecture, Amazon Web Services and follow a clean development process with proper structure and error handling. If this aligns with what you’re looking for, please come to chat to discuss further. Best regards

@kishanbwts

I’ve built production-ready Kubernetes clusters on AWS using both EKS and kops, including setting up auto-scaling, node self-healing, and fine-grained IAM roles. For GitLab CI, I create pipelines that run tests, build images, scan for vulnerabilities, and deploy across dev, staging, and prod with manual promotion steps. For monitoring, I’ve combined Prometheus and Grafana dashboards to track pod health, latency, and resource use, with alerts sent directly to Slack and email for fast response. All infrastructure and pipelines I deliver are defined in Terraform and Helm charts for easy re-deployment. In a recent project, I automated an AWS microservices rollout using GitLab CI where every push initiated a full pipeline ending with staged deployments and health checks, while autoscaling and alerting kept the system responsive and visible. Do you have preferred tools for vulnerability scanning or pipeline security? Also, are you open to using managed EKS or would you rather control the cluster setup fully via kops?

@sarthaktyagi0

This is squarely in my wheelhouse. I’ve taken green-field microservices from repo to production on AWS using EKS and GitLab CI, with everything defined as code and observable from day one. I’ll stand up a production-ready Kubernetes cluster with proper IAM, autoscaling, and self-healing, then wire GitLab CI pipelines to run tests, build and scan images, and promote cleanly across dev, staging, and prod namespaces. For visibility, I’ll implement Prometheus/Grafana and/or CloudWatch with actionable alerts to Slack or email. End goal: push to main, GitLab deploys, metrics light up, and production stays healthy—repeatably and without surprises.

@bhartimalu

Hi! ? I can set up AWS Kubernetes monitoring for your EKS cluster with real‑time metrics, dashboards, and alerts using industry‑standard tools like Prometheus + Grafana, AWS CloudWatch/Container Insights, and integrate logging/alerting so you can see cluster health, performance metrics, and pod/node status at a glance. I’ll also include setup documentation and make sure it’s scalable and easy to maintain. regards bharti

@sgwtechnology

Hi, this is Mukesh. I’ve reviewed your project and it aligns perfectly with my experience delivering end-to-end AWS microservices deployments with full CI/CD and monitoring. I specialize in designing resilient Kubernetes environments, automating pipelines, and implementing observability for production systems. How I’d approach it: Kubernetes on AWS: Stand up a production-ready cluster using EKS with auto-scaling, self-healing nodes, optimized IAM roles, and secure networking. GitLab CI pipelines: Build automated flows for unit tests, container builds, vulnerability scanning, and staged deployments across dev, staging, and prod. Promotion gates ensure safe rollouts. Monitoring & alerting: Implement Prometheus + Grafana dashboards for pod health, latency, and resource metrics, with Slack/email alerts for actionable issues. All infrastructure and pipelines will be version-controlled with Terraform and Helm, enabling reproducible deployments and easy scaling. Deliverables: Fully operational EKS cluster with production-grade resilience GitLab CI/CD pipelines handling build, test, deploy automatically Monitoring dashboards with alerts for critical metrics Timeline: ~2–3 weeks for full setup, end-to-end testing, and hand-off. I’ve previously automated AWS microservices rollouts using GitLab CI with real-time observability, enabling seamless deployments and immediate incident response. Regards, Mukesh DevOps & Cloud Infrastructure Engineerb

@ixorawebmob

Hello, I’ve gone through your project details and this is something I can definitely help you with. With 10+ years of experience, I specialize in DevOps, focusing on deploying and managing resilient AWS environments using Kubernetes and GitLab CI/CD. I understand the importance of having a production-ready cluster with auto-scaling and self-healing capabilities, as well as the need for secure IAM roles. My approach will ensure that every commit triggers comprehensive CI pipelines, including unit tests, vulnerability scans, and a smooth rollout across environments. I implement robust monitoring solutions utilizing Prometheus, Grafana, or CloudWatch to provide actionable alerts integrated with Slack/email, ensuring you have real-time visibility into service health and performance. Here is my portfolio: https://www.freelancer.in/u/ixorawebmob I’m curious to know if you have any specific preferences regarding AWS toolsets or monitoring solutions. Can you share any specific preferences regarding AWS toolsets or monitoring solutions you might have? Let’s discuss over chat! Regards, Arpit Jaiswal

@cybexsoftadmin

Hi, This is exactly the kind of green-field DevOps work I specialize in: taking microservices from code to a stable, observable production setup on AWS, with Kubernetes and GitLab CI handling the full lifecycle. For Kubernetes, I typically recommend EKS for production unless there’s a strong reason otherwise. I build clusters with managed node groups, autoscaling, self-healing, and pod-level IAM roles (IRSA), with clear separation between dev, staging, and prod namespaces. All infrastructure is defined using Terraform and Helm so the entire stack is reproducible and auditable. On the CI/CD side, I design GitLab pipelines where every commit runs tests, builds immutable container images, performs vulnerability scans, and deploys through staged environments with explicit promotion gates. Dev auto-deploys, staging is gated, and production rollouts are controlled and reversible—no manual SSH or hidden steps. Monitoring is a day-one requirement. I’ve delivered Prometheus and Grafana setups (using CloudWatch where it adds value) that expose pod health, latency, error rates, and resource usage, with actionable alerts sent to Slack or email. Most recently, I automated a multi-service AWS platform end-to-end with EKS and GitLab CI, enabling push-to-main deployments, zero-downtime rollouts, and clear production visibility. Happy to discuss architecture or timelines.

@iamthepakSharma

I’ve reviewed your requirements and this is my understanding: you’re looking for a seasoned DevOps engineer to take a green-field microservices application from code to a fully production-ready AWS deployment, with Kubernetes, GitLab CI automation, and robust monitoring built in from day one. The end goal is a system where a push to the main branch reliably triggers build, test, deploy, and rollout—ending with observable, healthy services running in production. I have strong hands-on experience delivering AWS-based microservices platforms using Kubernetes, GitLab CI/CD, and modern observability stacks. In this engagement, I’ll focus on correctness, security, and operational visibility—not just getting things running, but keeping them healthy in production. If you want a clean, repeatable DevOps foundation that scales with your application and lets GitLab do the heavy lifting, I’m ready to get started. Best regards, Deepak

@Ankurhardia34

Hello, I’m Ankur, a freelance developer with a dedicated team of professionals. I read all your requirements for website and I assure you that I will provide high-quality work at the proper time. Additionally, we also provide you 3 months of support from our side. As a Full Stack Developer, I specialize in Web and App Development, boasting a portfolio of stunning projects with top-notch UI/UX design. My expertise spans Flutter (for both Android and iOS), PHP, and WordPress, and I bring over 7 years of experience to the table. Whether it’s websites, applications, or e-commerce platforms, I’ve got you covered. But I’m not limited to just coding. My skill set extends to graphic design and logo creation, offering you a one-stop solution for all your project needs. With a track record of over 500 completed projects, I am committed to delivering nothing short of excellence. My ultimate goal is your complete satisfaction. Thank you for considering me for your project. I’m ready to transform your vision into a reality that stands out in today’s competitive landscape. Best Regards, Ankur Hardiya

@chiragm078

Leveraging my extensive experience in full-stack, AWS, and Kubernetes environments, I am confident in my ability to bring your vision of a robust and scalable microservices application to life. My hands-on experience with Node.js ensures that your backend system will not only be secure but also high performing. I have worked on several full stack solutions with the MERN/MEVN stack which emphasise the importance of efficient front-end development with React.js. One of my recent successes aligning closely with your project requirements involved building an automated CI/CD pipeline with GitLab for a Kubernetes environment hosted on AWS EKS. This comprehensive solution encompassed everything from auto-scaling and self-healing nodes to ensuring sensible IAM roles all while managing testing at each stage and deploying well-maintained dashboards for tracking health metrics. The stack definitions and infrastructure were clearly defined within Terraform, allowing for easy reproducibility down the line. In summary, my commitment to end-to-end project delivery complemented by my fluency in cloud deployment using AWS positions me optimally to accomplish your goals - to automate your entire platform from code to production through Kubernetes, GitLab CI pipelines and monitoring. With my strong communication skills and swift response rate,

@zaheermoe

Hi there, I've got you covered for your DevOps needs. I specialize in setting up Kubernetes environments on AWS, integrating GitLab CI for automated pipelines, and implementing robust monitoring solutions. My recent project involved automating an AWS microservices rollout with GitLab CI, ensuring visibility and health in production. You can count on my experience and expertise to deliver a resilient and efficient solution. Let's discuss your project further and work towards achieving a seamless deployment process. Looking forward to collaborating with you. Best, Zaheer Mahomed