Every engagement lists its scope, timeline and fixed fee before checkout
A hardening sprint that closes the default security gaps in a running cluster: network policy, RBAC, resource limits, secrets and image provenance.
A cluster that runs is not necessarily a cluster that is secure. By default, every pod can reach every other pod, containers run as root, workloads have no resource limits and secrets sit base64-encoded in etcd. We work through your running EKS, AKS or GKE cluster and close those gaps without taking workloads offline. Every change lands as a manifest in your repository, so the hardened state is reviewable and reproducible.
We run kube-bench and a manual review against CIS benchmarks
Findings ranked by exploitability and blast radius
Changes applied namespace by namespace, staging before production
Re-scan, confirm workloads healthy, and hand over the manifests
You provide these through the technical brief in your dashboard after checkout.
A compromised container can no longer move freely across the cluster
Resource-hungry workloads stop starving their neighbours of CPU and memory
Documented evidence you can share during a customer security review
This is a remote engineering engagement — nothing is shipped physically. Work is delivered into systems you control. See delivery & handover and refunds & cancellation for the full terms.
Your AWS environments defined as versioned Terraform, with separate accounts, well-structured networking and no manual console changes.
Terraform modules for VPC, subnets, security groups, IAM and core services
₹44,999
A GitHub Actions pipeline that builds and tests every pull request and makes a production release a single approved step.
CI workflow running lint, unit tests and build on every pull request
₹18,999
Move from single-server deployments to blue-green releases, with health checks and automatic rollback.
Blue-green or rolling deployment configured on ECS, Kubernetes or EC2
₹29,999
A line-by-line review of your AWS bill, returned as a ranked list of savings with the effort and risk of each one stated.
Line-by-line analysis of three months of AWS spend
₹12,999
Pick the engagement that matches what you need, or tell us about the system you are working on and we will point you to the right starting place.