DevOps & Cloud/Intermediate/6 days ago
January's AWS bill was $4,100; July's was $8,700, and our traffic grew maybe 30% in that window. Something is off and nobody internally has had time to dig. We run a fairly standard stack: ECS services, RDS, S3, CloudFront, a handful of Lambda functions and an OpenSearch cluster someone set up for a feature we later cancelled.
We want a one-week focused audit: go through Cost Explorer and CUR data, identify what is actually driving the growth, flag orphaned resources, and deliver a prioritized savings report - each item with estimated monthly saving, implementation effort, and risk. Where the fix is trivial (unattached volumes, oversized dev instances) and we approve it in writing, apply it during the engagement.
Read-only billing and infrastructure access from day one, a 30-minute kickoff, then a findings walkthrough at the end. If the report is good, there is follow-up implementation work in September.
AWSData Analysis
$700.00 - $1,300.00 fixed price0 bids
DevOps & Cloud/Intermediate/14 days ago
Testing branches is a mess for us right now: one shared staging server, a Slack channel where people call dibs, and features that sit unreviewed because staging is occupied. We are a six-person team building a B2B quoting tool (Node.js backend, React frontend, both already Dockerized).
What we want built: a GitHub Actions pipeline that runs lint and tests, builds images, and spins up an isolated preview environment for every open pull request - own URL, own seeded database, torn down automatically on merge or close. AWS is our platform; we are open to ECS, Fargate or something lighter as long as you justify the cost profile in writing. A cap of roughly $150/month for preview infrastructure is part of the acceptance criteria.
Documentation is half the deliverable: a README that lets any developer here debug a broken pipeline without you. Fixed-price milestones, weekly demo of progress.
DockerAWSNode.js
$1,600.00 - $2,900.00 fixed price0 bids
DevOps & Cloud/Expert/18 days ago
We currently run six services on plain EC2 with a homegrown deploy script that everyone is afraid to touch. We want to move to EKS with proper CI/CD, secrets management and observability.
Scope: cluster setup with Terraform, containerize the remaining two services, set up GitHub Actions pipelines, Prometheus and Grafana, and migrate staging first, then production with a documented rollback plan.
You will pair with our two backend engineers so knowledge stays in the team. Hourly engagement, estimated 6 weeks at 20 to 30 hours per week.
AWSDockerKubernetes
$70.00 - $110.00/hr2 bids
DevOps & Cloud/Expert/20 days ago
Two incidents in the last quarter convinced us to stop treating the database as a black box. Our marketplace runs on a single RDS PostgreSQL instance (about 300 GB) and we have slow dashboards, a nightly batch job that locks tables for 20 minutes, and - worst of all - backups nobody has ever actually restored from.
The work splits into three parts. First, performance: analyze pg_stat_statements, fix the ten worst queries and the batch job locking (indexes, query rewrites, whatever it takes - our developers will apply application-side changes you specify). Second, resilience: verify backups by performing a full restore drill into an isolated environment, document the procedure, and script it in Python so it can run monthly. Third, run a supervised failover test with us during a planned maintenance window.
Everything gets written down - the deliverable is as much the documentation as the fixes. Access via a scoped IAM role; no production credentials leave our systems.
PostgreSQLAWSPython
$1,400.00 - $2,500.00 fixed price0 bids
DevOps & Cloud/Expert/27 days ago
There is no DevOps hire in our plan for at least two more quarters, and it shows. We are an eight-person startup running a document processing product on EKS, and infrastructure work lands on whichever backend engineer complains least. Upgrades get postponed, alerts get muted, and last month a certificate expiry took the API down for an hour.
We are looking for a fractional infrastructure engineer at around 10 hours per week: own the Kubernetes upgrade cadence, review infrastructure changes our team proposes, tune alerting so it stops crying wolf, keep an eye on AWS spend, and be reachable (not on-call, just reachable) when something looks wrong. First engagement runs three months with the intent to extend if it works for both sides.
You will have real ownership - we want opinions and a short monthly written summary of state and risks, not a ticket-taker.
AWSKubernetesDocker
DevOps & Cloud/Intermediate/1 month ago
Right now our ML engineer deploys the model server by SSHing into a GPU instance and running tmux. It works until it does not, and she would rather be training models. The service itself is a FastAPI app in Python that serves an image classification model for quality control in food production lines.
Scope is tightly defined: a production-grade Dockerfile (multi-stage, CUDA base image, dependency pinning), a docker-compose setup for local development that our team can run on CPU, deployment onto our existing AWS account with autoscaling between one and three GPU instances based on queue depth, and health checks that actually reflect model readiness rather than just process liveness.
Small, well-bounded project - we know exactly what we want and will not expand scope mid-flight. Handover is a one-hour walkthrough call plus written deployment notes.
DockerPythonAWS
$900.00 - $1,600.00 fixed price0 bids