Aizaz
Technology
AWS Cloud Infrastructure for SaaS and Automation Platforms
Move from fragile manual deploys to AWS infrastructure with monitoring, backups, and pipelines — so your SaaS and automation systems survive real traffic.
Business outcomes we build with AWS Cloud Infrastructure for SaaS and Automation Platforms
- Deploy SaaS and API workloads with autoscaling and health checks
- Cut downtime with CI/CD, rollback strategies, and alert driven ops
- Secure data with VPC design, IAM policies, and encrypted storage
- Right size cloud spend as automation and user volume grow
Example use cases
How we use it in production
- ECS, EC2, or Lambda chosen by workload — not resume driven defaults
- RDS PostgreSQL, S3, CloudWatch, and IAM as core building blocks
- Terraform or CloudFormation for reproducible infrastructure
- GitHub Actions or CodePipeline for test gated deployments
Related services
FAQs
Frequently Asked Questions
Do you only work with AWS?+
AWS is our primary cloud for SaaS and automation clients. We focus depth there — ECS, RDS, Lambda, S3, and CloudWatch — rather than spreading thin across every provider.
Can you fix our existing AWS setup without a full rebuild?+
Often. We start with deploy reliability, cost leaks, and missing alerts — then improve architecture where it blocks growth.
How does AWS support AI and automation workloads?+
Queues, Lambda, and containerized workers run LLM pipelines, schedulers, and webhook processors at scale with pay per use economics where it fits.
Do you provide ongoing DevOps after the initial setup?+
Yes. Many clients retain us for monitoring, incident response, and infrastructure changes as product and integration scope grows.
Next step
Discuss your stack
Tell us what needs connecting, replacing, or shipping — we’ll map whether this technology belongs in the system. hello@aizaz.studio +92 334 2056691