Our Methodology

Precision engineering.
Predictable outcomes.

We don't guess. We assess, architect, and automate. Explore the exact frameworks Sunbird Analytics uses to secure your data, optimize your cloud spend, and modernize your infrastructure.

Deep Cloud Audit

We execute a comprehensive forensic analysis of your AWS/GCP environment to identify security holes, single points of failure, and IAM misconfigurations.

1

Automated Discovery

We deploy read-only scanning scripts to map your entire infrastructure topology. This generates an accurate, real-time visual map of every provisioned resource, VPC, and networking gateway.

2

Security & IAM Penetration

We review Identity and Access Management (IAM) roles, looking for overly permissive wildcard (`*`) access, publicly exposed S3 buckets, and unencrypted databases operating outside best practices.

3

Remediation Roadmap

You receive prioritised backlog of required fixes. Critical P0 vulnerabilities are isolated for immediate patching, while structural improvements are planned for future sprints.

FinOps Rightsizing

Infrastructure should scale with revenue, not outpace it. We aggressively strip out waste and restructure computing commitments to drastically reduce your monthly bill.

1

Spend Attribution & Tagging

Before we cut costs, we must understand them. We implement strict resource tagging policies to attribute every cent of cloud spend back to specific microservices, environments (Dev/Prod), or teams.

2

Waste Elimination

We run scripts to hunt down "zombie" resources: unattached EBS volumes, forgotten staging databases, idle NAT Gateways, and unassociated Elastic IPs that bleed your budget daily.

3

Strategic Orchestration

We downsize over-provisioned EC2/RDS instances based on actual historical CPU/Memory metrics. Finally, we orchestrate Spot Instances for stateless workloads and implement Compute Savings Plans for baseline traffic.

Secure AI Infrastructure

Combat Shadow AI and prevent proprietary corporate data from leaking to public models. We architect secure, private LLM deployments completely isolated within your network.

1

Perimeter & VPC Isolation

We design a strict Virtual Private Cloud (VPC) architecture that acts as a fortress. All AI compute instances are placed in private subnets with no inbound internet access, relying strictly on secure VPC Endpoints.

2

Local Model Deployment

Instead of sending highly sensitive financial or operational data to external APIs (like OpenAI), we deploy open-source models (Llama, Mistral) directly onto your dedicated instances or EKS clusters.

3

Governance & Auditing

We implement comprehensive logging layers. Every prompt sent to the AI and every token generated is tracked, ensuring compliance with data privacy regulations (GDPR/POPIA) and maintaining full corporate governance.

Scale with Sunbird.

Ready to optimise your cloud footprint? Contact us today to discuss your infrastructure needs with our engineering team.

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