🌙
☀️
AWS Case Study
PropTech SaaS
Cloud Operations
Multi-Tenant ISV
BizCerebro.ai:
Elastic Capacity &
Automated Protection
A growth-stage multi-tenant SaaS platform moves from fixed capacity and manual protection to an elastic, self-managing operating model — absorbing new tenants without a proportional rise in cost or effort.
Demand-Based
Auto Scaling
In-Window
Backup Completion
Commit
Revert Rollback
BizCerebro.ai — Cloud Operations Dashboard
Capacity
Elastic
↑ Follows demand
Backup
In-Window
↑ Dedup tuned
Releases
Reversible
↑ Commit revert
Storage Waste
Removed
↓ Auto-remediated
Scale
Target Tracking
↑ Headroom
Tier
Intelligent-Tiering
↑ Automatic
Snap
Verified Before Delete
↑ Safe
01
AWS Cloud Operations Delivery
Operating a Multi-Tenant SaaS Platform on Elastic Capacity and Automated Protection
About BizCerebro.ai
BizCerebro.ai is an India-based PropTech SaaS provider delivering multi-tenant real estate analytics to developers and enterprise customers. As a growth-stage ISV with a rapid release cadence, the platform must absorb tenant growth without a proportional increase in operational effort.
The Challenge
Fixed capacity and manual protection scaling cost and effort with every new tenant
Capacity Held at Peak
Compute was sized for peak demand and held at that level, so cost reflected the busiest hour rather than actual usage across the day.
Backup Overrunning the Window
Backup jobs did not complete within the approved maintenance window, creating both an operational conflict and a protection gap.
Releases Without a Reversible Path
A frequent release cadence ran without validated deployment gates or a defined rollback mechanism, and unattached storage accrued charges unnoticed.
Solutions Provided
Elastic capacity, windowed protection, and reversible releases by construction
Elastic Capacity Matched to Demand
Implemented EC2 Auto Scaling with demand-based scaling on CloudWatch metrics, buffer-based target tracking for spike headroom, and time-based scheduled scaling for predictable periods, validated by simulated demand testing before production use.
Backup Within the Maintenance Window
Deployed backup orchestration through native AWS APIs managing database backups and routing data into Amazon S3 Intelligent-Tiering, with deduplication applied above a block threshold established during delivery so jobs complete inside the approved window.
Automatic Storage Tiering
Applied S3 Intelligent-Tiering moving objects between access tiers based on observed access pattern, with transition to Glacier Deep Archive for long-term retention.
Pipeline-Driven Reversible Release
Established HashiCorp Terraform with Bitbucket Pipelines using UAT and Production branch separation, plan review before apply, post-deployment verification, and rollback by commit revert.
Automated Waste Remediation
Configured Amazon EventBridge scheduled rules invoking AWS Lambda to identify volumes unattached beyond a retention window, take and verify a protective snapshot tagged with the source volume identifier, then delete the volume.
Result Outcome
Capacity follows demand and tenants grow without infrastructure growth
Capacity Follows Demand
Compute scales out and in against measured demand rather than being held at peak — cost now reflects actual usage across the day.
Protection Fits the Window
Backup completes within the approved window, removing the conflict between protection and availability.
Tenant Growth Without Infrastructure Growth
New tenants are onboarded within the existing platform rather than by provisioning per tenant.
Waste Removed Safely
Unattached storage is removed automatically, with data preserved by a verified snapshot before deletion.
Demand
Capacity Follows Usage
Compute scales out and in against measured demand, not held at peak
In-Window
Backup Completion
Protection and availability conflict removed via dedup threshold tuning
No New
Per-Tenant Infrastructure
New tenants onboarded within the existing platform footprint
Safe
Waste Removal
Unattached volumes deleted after a verified protective snapshot
Success Metrics
Measurable operational improvements across capacity, protection and release
Pipeline Security
↑
100%
Of deployments subjected to pipeline security gates before promotion
Security Gates
0
→
3 Active
Automated gates for secrets, dependencies, and infrastructure-as-code
API Protection
↑
100%
Rate limiting implemented across every API class at the edge
Certificate Lifecycle
Manual
→
100% Automated
Fully automated certificate renewal — no manual handling, no expiry risk
Threat Monitoring
↑
24/7
Continuous threat monitoring through Amazon GuardDuty
Storage Remediation
↑
100% Automated
Automated identification, snapshot protection, and removal of qualifying unattached volumes
Before
Compute provisioned for peak demand and held there regardless of usage
Backup jobs exceeding the approved maintenance window
Storage tier selection requiring manual review as access patterns changed
Frequent releases without validated gates or a defined rollback path
Unattached storage volumes accruing charges unnoticed
After
Capacity scales against measured demand with headroom maintained by target tracking
Backup completes within the window following deduplication threshold tuning
Objects move between access tiers automatically based on observed access pattern
Pipeline-driven releases with plan review, verification and commit-revert rollback
Unattached volumes identified and removed automatically after a verified snapshot
“
Capacity that follows demand, protection that runs to policy and releases that are reversible by construction mean the platform absorbs new tenants within its operating model rather than expanding it.
Technology Stack
AWS Services & Tools Deployed
EC2 Auto Scaling
Demand-Based Capacity
Amazon CloudWatch
Scaling Metrics
S3 Intelligent-Tiering
Automatic Tiering
Glacier Deep Archive
Long-Term Retention
Amazon EventBridge
Scheduled Remediation
AWS Lambda
Waste Cleanup Logic
HashiCorp Terraform
Infrastructure as Code
Bitbucket Pipelines
UAT/Prod Release Gates
AWS Backup APIs
Windowed Orchestration
Amazon S3
Backup Data Store
EBS Snapshots
Verified Before Delete
Target Tracking
Spike Headroom Buffer
Accepting New Enterprise Clients
Ready to Build an
Elastic, Self-Managing Platform?
Book a complimentary cloud operations review. Our AWS-certified engineers will assess your capacity, protection and release posture and deliver a tailored automation roadmap — no commitment required.
No commitment required
Response within 24hrs
AWS Advanced Partner