AWS DevOps Telemetry Backend

@vinnie6669

Greetings! I have more then 15+ years of experience working as a Linux System admin and 3+ years of experience working as a devops. I give full server management support. I will setup aws infra with ecs, rds, redis, ci/cd and other requirements you have. Let's discuss and start. Thanks Vivek Sharma

@PKSocket

Greetings, To introduce, I am a DevOps Engineer and an expert in AWS. I have been working as a freelancer for the last 8 years and I can easily handle this project. I have over 5 years of experience in AWS, Linux, Ubuntu, CentOS, RedHat, Windows Server, Apache, Nginx, Jenkins, Docker, Azure, Google Cloud, MYSQL, and MongoDB. Can we have a quick chat to discuss more about this project? Looking forward to hearing from you. Regards, Naveed

@juanjosec63

Hello, I’m excited about the opportunity to contribute to your project. With my expertise in AWS, Terraform, Redis, CI/CD, Linux, Prometheus, Grafana, and high-throughput backend infrastructure, along with a strong focus on clean, scalable implementation, I can deliver a resilient DevOps foundation for your transport-tracking platform that handles real-time GPS ingestion with low latency and strong observability. I’ll tailor the work to your exact requirements, ensuring smooth infrastructure-as-code deployment, reliable telemetry buffering and processing, fault-tolerant Redis configuration, zero-downtime delivery pipelines, and a well-documented AWS architecture that is easy for your team to reproduce and extend. You can expect clear communication, fast turnaround, and a high-quality result that fits seamlessly into your existing workflow. Best regards, Juan

@alejandro2471

Thanks for your job posting. I am very familiar AWS devops role as you can check reviews on my freelancer profile. I have rich experience in devops side for over 5 years so i am sure to handle your requirement fully within a short time. I can start work imemdiately and look forward to having a detailed discussion through a chat. Thanks again. regards

@kumarashish99

With 5+ years of experience in AWS infrastructure, DevOps, and backend development, I see immense potential in your transport-tracking platform and would like to be part of the team that powers it. My understanding of your project proposal resonates with my core expertise – AWS ecosystem, Terraform-or CloudFormation-powered IaC designs, CI/CD workflow, serverless/containerized applications deployment, and more – necessary to meet your ambitions. Drawing on my wide array of skills including proficiency in Node.js, Python and PHP along with extensive Kubernetes knowhow among others, enables me to envision and design an architecture tailored to your specific requirements. I’d favour Kafka for its unparalleled scalability apart from its exceptional capabilities for real-time messaging/pub-sub layers they also bring redundancy while handling heavy loads. Integrating the power of AI/ML solutions is another dimension that I bring aboard. I intend to utilize my expertise in deploying AWS AI/ML services like Textract, Comprehend, Kendra, and Rekognition to promote intelligent automation within your system. My approach is always focused on security as well as compliance – a requisite given the sensitive nature of GPS data – which aligns perfectly with my proficiency in achieving regulatory compliances with frameworks like HIPAA, PCI-DSS, GDPR etc.

@ahmadpiran

** HUMAN PROPOSAL - NO BOT TEXT *** Hi there, I can architect and deploy the AWS backend for your transport tracking platform immediately. Since you need to ingest GPS data from roughly 300 buses every 10 seconds, the main challenge is ensuring your infrastructure dynamically handles the 2.5 million daily write events without bottlenecking the CPU or exceeding the one second latency requirement. I will use Terraform to provision a fully automated, one command bootstrap environment centered around AWS EKS. Kubernetes offers the most resilient autoscaling for this volume of telemetry ingestion. I will deploy a highly available Redis cluster as your real time message buffer, precisely tuning the node memory policies before forwarding the data to long term S3 storage. I will establish a robust GitHub Actions workflow to ensure your containerised services deploy with zero downtime. I will also integrate Prometheus and Grafana to provide deep observability into the exact load test metrics. I guarantee I will support you until the entire platform is running perfectly and smoothly sustains the requested message throughput. Best, Ahmad

@anirudhat

Ingesting ~2.5 million GPS events daily from 300 buses with sub-second latency is exactly the kind of high-throughput telemetry challenge I specialize in. I'll architect the entire backend on AWS using ECS/Fargate for containerized services, a Redis Cluster (six-node, three-shard) tuned for pub/sub fan-out, and Kinesis Data Streams as a durable buffer feeding both real-time consumers and S3-based long-term storage. The full stack—VPC, autoscaling, IAM, ingestion pipeline, Prometheus/Grafana observability, and CI/CD with GitHub Actions blue-green deployments—will be codified in Terraform modules with comprehensive documentation. I've delivered similar IoT-scale pipelines on AWS and can start immediately, beginning with infrastructure scaffolding and a load-test harness to validate the 2.5M-message throughput target from day one.

@MIndlabsAi6

Hello, I am Vishal Maharaj, with 20 years of experience in Amazon Web Services and CI/CD. I have carefully reviewed your requirements for the AWS DevOps Telemetry Backend project. To ensure the successful implementation of this project, I propose to set up a robust infrastructure on AWS using services like EC2/ECS/EKS, VPC, IAM, S3, and Route 53. I will create a telemetry ingestion pipeline for efficient data processing and storage, configure a high-throughput and fault-tolerant Redis cluster, and establish end-to-end observability using Prometheus and Grafana. I will also implement a CI/CD workflow for seamless deployment and provide comprehensive documentation for easy replication and extension of the stack. Let's discuss further details to initiate the project. Cheers, Vishal Maharaj

@arslanshahid386

Hi there, I’m excited about the opportunity to work on your AWS DevOps Telemetry Backend project. It sounds like you need a robust system to handle GPS data from 300 buses, processing about 2.5 million write events daily with low latency. With my 4+ years of experience in DevOps, I can help you design and implement a resilient architecture on AWS using tools like Terraform for infrastructure as code, and Redis for your messaging layer, which I believe is a great fit for real-time data processing. I’ll ensure that we have a well-structured telemetry ingestion pipeline, along with thorough monitoring using Prometheus and Grafana for observability. Additionally, I can set up a CI/CD workflow to streamline your deployments. One question I have is, how do you envision handling data retention for the incoming GPS data in your long-term storage strategy? Best regards, Arslan Shahid

@usamae

This is exactly the kind of infra work I do. Terraform to provision the full stack on AWS (VPC, ECS, autoscaling groups, IAM, S3), Redis cluster tuned for high-throughput pub/sub, Prometheus exporters + Grafana dashboards for full observability, and a CI/CD pipeline via GitHub Actions for zero-downtime deploys. For 2.5M GPS events/day at 10s intervals, I'd put Kinesis Data Streams or SQS in front of Redis on the hot path - gives you durability and replay if the Redis cluster hiccups. Happy to walk through the Kafka trade-offs if you prefer that direction. Delivery: Terraform modules for full environment bootstrap in a fresh AWS account, load-tested to meet your <1s latency at 50% CPU requirement, documented so any engineer can extend it. - Usama

@dataspro

Nice to meet you , It is a pleasure to communicate with you. My name is Anthony Muñoz, I am the lead engineer for DSPro IT agency and I would like to offer you my professional services. I have more than 10 years of working as a Backend and Software developer, I have successfully completed numerous jobs similar to yours therefore, and after carefully reading the requirements of your project, I consider this job to be suitable to my area of knowledge and skills. I would love to work together to make this project a reality. I greatly appreciate the time provided and I remain pending for any questions or comments. Feel free to contact me. Greetings

@emilesd617

Hi, I am a DevOps engineer with 8 years of rich experience with a background in cloud backend infrastructure and real-time data systems. I mainly work with Amazon Web Services, Redis, Terraform, CI/CD, and Linux. For this project, the most important part is building a stable telemetry pipeline that can handle constant GPS writes with low latency and no data loss. I will design the AWS infrastructure, set up the messaging and monitoring stack, and automate deployment with Terraform and CI/CD. The focus will be resilience, fast processing, clear observability, and a backend that your team can reproduce and scale easily. I'm an individual freelancer and can work on any time zone you want. Please contact me with the best time for you to have a quick chat. Looking forward to discussing more details. Thanks. Emile.

@ayesha86664

Hi there! Handling telemetry from hundreds of buses every few seconds requires a backend that is highly reliable and optimized for real-time processing. Without a well-designed DevOps architecture, latency and system failures can quickly become a problem. I have strong experience building scalable cloud infrastructure on AWS using Terraform, Docker, and CI/CD pipelines. I’ve worked on systems handling high-frequency data streams with Redis/Kafka messaging layers, real-time processing pipelines, and full monitoring stacks using Prometheus and Grafana. My work also includes building secure VPC networks, autoscaling setups, and automated deployments for production systems. My approach would design a resilient ingestion pipeline for GPS telemetry, configure Redis for high-throughput pub/sub processing, and implement full observability with Prometheus, Grafana, and CloudWatch. I’ll also deliver infrastructure-as-code and CI/CD pipelines so the entire platform can be deployed and maintained easily. Check our work https://www.freelancer.com/u/ayesha86664 Are you planning to run the ingestion services in containers (ECS/EKS) or directly on EC2 instances? Let me know if you’re interested & we can discuss it. Best Regards Ayesha

@jagratip3

Hello, I’d be glad to architect and implement your transport-tracking backend on AWS, ensuring resilience, low latency, and full observability for ingesting 2.5 million GPS events per day. My approach emphasizes **scalable, fault-tolerant infrastructure** and fully automated deployment. I would use **Terraform** for infrastructure-as-code to provision VPCs, ECS/EKS clusters, autoscaling groups, IAM roles, S3 storage, and Route 53 configuration. For the real-time ingestion pipeline, I’d configure a high-throughput **Redis cluster** (or Kafka if event ordering and replay are critical), buffering GPS messages and forwarding them to downstream consumers and long-term storage efficiently. Monitoring and observability would be implemented with **Prometheus exporters**, **Grafana dashboards**, CloudWatch logs/alerts, and integrated CI/CD pipelines using GitHub Actions or GitLab CI for containerised services. The pipeline will support zero-downtime deployments with automated tests and rollout verification. The stack will be load-tested to handle 2.5M messages/day with <1-second end-to-end latency under moderate CPU, and I’ll provide comprehensive documentation so any engineer can reproduce or extend the environment. I can also suggest improvements, such as **sharded Redis streams or AWS Kinesis** for even greater throughput and reliability. Best regards.

@novatech2210

Hello! I've been recommended by a Freelancer Recruiter. Nice to meet you. I've just completed a similar DevOps project for a logistics company who needed to process 1.5 million IoT sensor events daily with sub-second latency. I'm the perfect fit for this project because I've extensive experience architecting scalable and resilient AWS DevOps backends that handle high-traffic workloads, leveraging Terraform, CloudFormation, and Redis for low-latency messaging. I'll design a highly available and efficient telemetry ingestion pipeline using Redis, Prometheus, and Grafana for observability, along with a robust CI/CD workflow using GitHub Actions or a similar tool. By leveraging AWS services like EC2, ECS, and EKS, I'll ensure your transport-tracking platform sustains the required load with <1 sec end-to-end latency at 50% CPU. In my previous project, I achieved an 80% reduction in manual deployment time and a 99.99% uptime for 6 months. Multiple 5-star reviews on AWS DevOps, real-time IoT projects, and scalable backend solutions. Happy to hop on a quick call (no obligation) to discuss architecture, timeline, and a clear plan + quote. Chris | Lead Developer | Novatech

@matheussilva114

Hi, I have read your description and I fully understand your needs. I am a senior engineer with over 7 year of experience on Linux, Amazon Web Services, Hadoop, Network Administration, Redis, MQTT, DevOps, Terraform, CI/CD. Please visit my profile to view my latest projects, certificates, and work history. Best, Matheus Thank you, Matheus

@srdjan9494

Hello, I’d build a scalable AWS architecture using Terraform, Redis, and containerized services (ECS/EKS) to handle the GPS ingestion pipeline. Approach: GPS data - ingestion service - Redis Streams (or Kafka) for buffering Worker services process and store data (PostgreSQL/S3) Prometheus + Grafana for monitoring and alerts GitHub Actions CI/CD with Docker for zero-downtime deployments The load (~2.5M events/day) is easily manageable with autoscaling and Redis clustering while keeping <1s latency. I’ll deliver fully scripted IaC, observability dashboards, CI/CD pipelines, and documentation so the stack can be reproduced in one command. Happy to suggest improvements during architecture design.

@nutankumarftp

As an experienced Full Stack Web and Mobile App Developer, I am well-versed in the core skills needed for your AWS DevOps Telemetry Backend project. Over the span of my career, I’ve architectured numerous high-performance backend systems and have gone the extra mile by ensuring they're both secure and scalable, just like what you'll need for your transport-tracking platform. My skill set aligns perfectly with the task at hand. I have extensive experience in setting up infrastructure-as-code deployments. For instance, I've used Terraform to create finely tuned and fault-tolerant Redis clusters which achieved high throughput for over 500 million writes per day. This knowledge is crucial for your platform's resilience and low-latency processing requirements. Moreover, I have deep experience with the AWS stack including EC2/ECS/EKS, VPC, IAM, S3, and Route 53, which perfectly aligns with your platform needs. Moving further, my familiarity with CI/CD workflows using GitHub Actions or GitLab CI will ensure smooth shipping of containerized services with zero downtime. Additionally, having completed over 2000 projects across various industries,

@MQamar123

As a DevOps engineer, I have the skills and experience to build your AWS backend for your transport-tracking platform. I have worked with many cloud providers, including AWS, and am confident in my ability to construct infrastructure-as-code deployments (using Terraform or CloudFormation), implement and tune Redis clusters for high throughput and fault tolerance, and establish end-to-end observability using Prometheus and Grafana - a critical aspect of your project with large-scale GPS data ingestion. Moreover, one of the core strengths I bring to the table is my continuous learning mindset. Despite having comprehensive knowledge in multiple programming languages such as Python used by Redis and other key tooling like Terraform or Cloudformation, I believe in constantly updating my skills with emerging technologies. This adaptability is crucial given your request for justification of any trade-offs that can be made. Through this combined effort, we can deliver on-time and beyond!