Microprotech

Smart Architecture Design

We follow AWS Well‑Architected and Azure best practices to design the right mix of VPC or Virtual Network, subnets, security groups, load balancers, and storage for your applications. [web:90][web:91]

Based on actual workload patterns, we right‑size compute instances, managed databases, and storage tiers so you get the required performance without paying for unnecessary capacity. [web:93][web:97]

Migration & Modernization

We create a step‑by‑step migration plan from on‑premise or shared hosting to AWS or Azure with clearly defined downtime windows and rollback options.

Wherever possible, we move workloads to managed PaaS services such as AWS RDS, Azure SQL, App Service, or serverless functions to reduce maintenance effort and increase reliability.

Security by Default

We implement identity and access management with least‑privilege roles, multi‑factor authentication, network isolation, and encryption so your environment is secure by default. [web:89][web:92]

Native services like AWS CloudTrail and CloudWatch, and Azure Monitor and Defender for Cloud are configured for logging, alerts, and continuous security monitoring. [web:89][web:92]

Monitoring & Reliability

We track key metrics, logs, and dashboards for uptime, latency, and error rates, which helps identify issues proactively instead of only reacting after incidents.

Health checks, auto‑healing, multi‑AZ or multi‑region deployment strategies, and disaster recovery and backup policies are defined to keep your services available.

Right‑Sizing & Auto‑Scaling

We analyse actual usage and right‑size over‑provisioned servers, shutting down idle resources to eliminate waste. [web:93][web:97]

Auto‑scaling rules ensure capacity grows and shrinks with demand, so you handle peak traffic without paying for peak capacity all the time.

Native Cost Management

We configure AWS Cost Explorer and Budgets, and Azure Cost Management and Advisor to generate regular reports and recommendations for your environment.

A clear tagging strategy provides project‑ and team‑level visibility so you always know where your cloud spend is going.

Discounts & Smart Pricing

For long‑running workloads, we evaluate Reserved Instances, Savings Plans, and similar programs to significantly reduce hourly rates.

For non‑critical batch or background workloads, we leverage Spot or low‑priority instances to further reduce compute costs.

Automated CI/CD Pipelines

We use free tiers of platforms like GitHub Actions, GitLab CI/CD, or Azure Pipelines to automate build, test, and deployment workflows. Every change can be automatically tested and deployed, which reduces manual effort, minimises human error, and speeds up release cycles.

Infrastructure as Code

Tools such as AWS CloudFormation, Terraform, or Azure Bicep are used to define your entire infrastructure as code so it is repeatable and version‑controlled.

New environments like development, staging, or production can be created or recreated within minutes instead of days of manual provisioning.

Monitoring & Open‑Source Tooling

Along with cloud‑native monitoring, we can integrate open‑source tools such as Prometheus and Grafana to build detailed dashboards and alerting.

Faster detection and resolution of issues leads to lower downtime and a more stable experience for your users.