Smart Building Management Platform - Monitoring, Backup and Cost Optimization

Business Problem

Monitoring, backup, recovery, and cost controls needed clearer ownership and repeatable runbooks. Operational teams required better visibility into logs, alarms, restore steps, and recurring support activities.

Architecture

flowchart TB
  Apps[Application Workloads] --> Logs[CloudWatch Logs]
  Apps --> Metrics[CloudWatch Metrics]
  Logs --> Retention[Retention Policy]
  Metrics --> Alarms[Alarms and Notifications]
  Jenkins[Jenkins Server] --> EBS[EBS Snapshot Plan]
  PV[Kubernetes Persistent Volumes] --> PVBackup[PV Backup Notes]
  ES[Elasticsearch] --> ESBackup[Snapshot or Export Notes]
  Mongo[MongoDB] --> MongoBackup[Backup and Restore Runbook]
  Retention --> Cost[Cost Review]
  Alarms --> Incidents[Incident Runbooks]
  S3[S3 Lifecycle] --> Cost
  Restore[Restore Validation] --> Incidents

My Responsibilities

• Documented CloudWatch log review, metrics, alarms, and notification practices.
• Prepared backup and restore notes for Jenkins, persistent volumes, Elasticsearch, and MongoDB concepts.
• Defined retention and lifecycle guidance to reduce avoidable storage and log cost.
• Created support runbooks for recurring investigation and recovery scenarios.

Implementation

• Mapped critical services to observable logs and metrics.
• Defined backup checkpoints and restore validation steps.
• Added retention guidance for logs and object storage.
• Documented escalation and handover flow for support teams.

Challenges

• Different services had different backup and restore expectations.
• Log growth needed cost-aware retention without losing useful support data.
• Operational steps needed to be usable during production pressure.

Solution

The solution combined automation, clear infrastructure boundaries, operational validation, and documentation-first handover. The design focuses on traceable releases, least-privilege access, predictable runtime behavior, and observable production systems.

Code Snippet

Representative public-safe snippet showing the type of implementation pattern used.

#!/usr/bin/env bash
set -euo pipefail
backup_dir="/backup/$(date +%Y%m%d-%H%M%S)"
mkdir -p "$backup_dir"
echo "Collecting service health, logs, and backup evidence into $backup_dir"
kubectl get pods -A > "$backup_dir/pods.txt"
kubectl get events -A --sort-by=.lastTimestamp > "$backup_dir/events.txt"

Deployment Flow

1. 1

   Monitoring review

2. 2

   Backup inventory

3. 3

   Retention planning

4. 4

   Restore validation

5. 5

   Runbook handover

Validation

• Verified deployment health before routing user traffic.
• Reviewed logs, metrics, events, and runtime configuration.
• Documented rollback and post-deployment checks for support teams.

Monitoring and Security

• Monitoring focused on logs, runtime status, health checks, alarms, and deployment evidence.
• Security guidance covered IAM roles, security groups, secrets handling, and private network boundaries where applicable.
• Operational notes included backup, restore, rollback, and incident response expectations.

Outcome and Impact

• Improved recovery confidence through restore validation documentation.
• Improved support speed through structured CloudWatch and runbook guidance.
• Reduced operational ambiguity around backup ownership and retention.

Lessons Learned

• Reliable DevOps delivery depends on validation, not only deployment automation.
• Runbooks and handover notes reduce operational risk during production support.
• Health checks, logs, access boundaries, and rollback steps should be designed before go-live.

Related Incident Experience

• Kubernetes deployment issue
• Storage lifecycle recovery
• Service startup failure
• Pipeline rollback

Pipeline Screenshots Placeholder