Technology
Amazon EC2 Development & Operations — Compute That Scales
EC2 architecture, AMI pipelines, Auto Scaling, Spot/Graviton optimization, and the operational layer production compute requires.
What we build with Amazon EC2
- EC2 fleet architecture with Auto Scaling Groups and mixed instance policies
- AMI pipelines with EC2 Image Builder and Packer
- Spot, Graviton, and Savings Plans optimization
- EC2 networking: VPC, ENIs, placement groups, and PrivateLink
- Patch management with Systems Manager and Inspector
- Nitro Enclaves for sensitive workloads
Why DiveScale
Built by engineers who ship Amazon EC2 in production
EC2 is still the workhorse of AWS compute. DiveScale architects EC2 workloads that earn their cost — right-sized, autoscaled, and observable, with Spot or Graviton wherever it pays without taking risk on the wrong workloads.
We build AMI pipelines that produce signed, scanned, and immutable images on a schedule, so patch posture stays current without click-ops. SSM Patch Manager handles the rest.
And we keep the operational layer honest: structured logs to CloudWatch or your log platform, CloudWatch metrics with proper alarms, and IAM scoped tightly per workload.
Amazon EC2 use cases we deliver
How we deliver
Our Amazon EC2 delivery process
- 01
Workload profile
We map CPU, memory, network, and IO patterns to pick the right instance family and pricing model.
- 02
AMI + Auto Scaling
Immutable golden AMIs, Auto Scaling Groups with mixed instance policies, and health-check-driven replacement.
- 03
Operate & observe
CloudWatch alarms, structured logs, SSM patching, and IAM least privilege per workload.
- 04
Optimize over time
Quarterly right-sizing reviews, Spot/Graviton expansion, and Savings Plans tuning.
Related technologies
AWS
AWS architecture, migration, and platform engineering — multi-account governance, well-architected workloads, Terraform IaC, and the operational discipline production demands.
Learn moreAmazon ECS
ECS and Fargate platform engineering — task definitions, capacity providers, blue/green deploys, and the operational layer container workloads need.
Learn moreAmazon EKS
EKS cluster engineering — IAM Roles for Service Accounts, autoscaling with Karpenter, GitOps with Argo CD, and the observability stack production Kubernetes demands.
Learn moreTerraform
Terraform engineering — module design, state strategy, multi-account governance, policy-as-code, drift detection, and CI-driven plan / apply for multi-cloud estates.
Learn moreAmazon EC2 — Frequently Asked Questions
Containers for most new builds — better packing, easier rollouts. EC2 for workloads that are stateful, GPU-heavy, or genuinely benefit from full-instance control. We pick per workload.
