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Ji-Yeon Park
2 months ago
Set up a multi-region deployment on GCP. Latency for Asian users improved by 200ms! Used Cloud Spanner for globally distributed database with strong consistency. The complexity is real, but for our global user base, it was necessary. Traffic routing with Cloud Load Balancing works perfectly. #gcp #cloud #performance #globalinfrastructure
Ji-Yeon Park
1 month ago
Implemented GitOps with ArgoCD. Infrastructure changes are now version-controlled and auditable! Every change goes through PR review. Rollbacks are just git reverts. The sync status dashboard gives us confidence that production matches our repo. Compliance team loves the audit trail! #gitops #argocd #kubernetes #devops
Ji-Yeon Park
18 days ago
Monitoring stack complete: Prometheus + Grafana + AlertManager. No more surprises in production! Created custom dashboards for each service. Alert fatigue was real at first - tuned thresholds over 2 weeks. Now we get meaningful alerts that actually require action. On-call life improved dramatically! #monitoring #prometheus #grafana #observability
Ji-Yeon Park
2 months ago
Kubernetes secrets management with HashiCorp Vault. No more secrets in environment variables! Dynamic secrets with automatic rotation. AWS IAM authentication for pods. The External Secrets Operator syncs Vault secrets to K8s. Audit logs show who accessed what and when. Security team approved! #vault #security #kubernetes #secrets
Ji-Yeon Park
3 months ago
AWS Lambda cold starts were killing our API. Provisioned concurrency fixed it! Went from 2-3 second cold starts to consistent 200ms responses. The cost increase was minimal compared to user experience improvement. Also optimized our function packages - smaller bundles = faster starts. #serverless #lambda #aws #performance
Ji-Yeon Park
23 days ago
AWS Lambda cold starts were killing our API. Provisioned concurrency fixed it! Went from 2-3 second cold starts to consistent 200ms responses. The cost increase was minimal compared to user experience improvement. Also optimized our function packages - smaller bundles = faster starts. #serverless #lambda #aws #performance
Ji-Yeon Park
1 month ago
Load balancer configuration matters! Switched to least connections algorithm and improved response times. Was using round-robin but some backend instances were getting overwhelmed. Added health checks with proper thresholds. Also implemented connection draining for graceful deployments. #nginx #loadbalancing #cloud #performance
Ji-Yeon Park
27 days ago
Monitoring stack complete: Prometheus + Grafana + AlertManager. No more surprises in production! Created custom dashboards for each service. Alert fatigue was real at first - tuned thresholds over 2 weeks. Now we get meaningful alerts that actually require action. On-call life improved dramatically! #monitoring #prometheus #grafana #observability
Ji-Yeon Park
3 months ago
Just migrated our entire infrastructure to AWS. The cost savings with reserved instances are incredible! Went from $15k/month to $8k/month by right-sizing instances and using Savings Plans. The migration took 3 months but the ROI was achieved in just 6 months. Planning and tagging were crucial! #aws #cloud #infrastructure #costoptimization
Ji-Yeon Park
19 days ago
S3 lifecycle policies saved us $500/month by moving old data to Glacier automatically. Set up intelligent tiering for unpredictable access patterns. Implemented S3 Inventory to audit our storage. The cost explorer showed immediate impact. Sometimes the biggest wins are in housekeeping! #aws #s3 #costsaving #storage
Ji-Yeon Park
2 months ago
Set up a multi-region deployment on GCP. Latency for Asian users improved by 200ms! Used Cloud Spanner for globally distributed database with strong consistency. The complexity is real, but for our global user base, it was necessary. Traffic routing with Cloud Load Balancing works perfectly. #gcp #cloud #performance #globalinfrastructure
Ji-Yeon Park
3 months ago
Docker Compose for local development, Kubernetes for production. Best of both worlds! The key was making the configs as similar as possible. Environment variables bridge the gap. Developers can run the full stack locally with one command. Onboarding new team members is now a breeze! #docker #kubernetes #devops #development
Ji-Yeon Park
2 months ago
VPC peering between our staging and production accounts. Network isolation done right! Each environment has its own AWS account. Transit Gateway connects them when needed. Security groups are locked down to specific CIDR blocks. The network diagram finally makes sense to auditors! #aws #vpc #security #networking
Ji-Yeon Park
1 month ago
Monitoring stack complete: Prometheus + Grafana + AlertManager. No more surprises in production! Created custom dashboards for each service. Alert fatigue was real at first - tuned thresholds over 2 weeks. Now we get meaningful alerts that actually require action. On-call life improved dramatically! #monitoring #prometheus #grafana #observability
Ji-Yeon Park
18 days ago
Auto-scaling based on custom metrics. CPU usage alone wasn't enough for our workload! Implemented scaling based on queue depth and request latency. Predictive scaling for known traffic patterns (like daily peaks). The cluster now responds to actual business metrics. Right-sizing finally achieved! #autoscaling #cloud #aws #optimization
Ji-Yeon Park
2 months ago
Azure DevOps pipelines are surprisingly powerful. Parallel jobs cut our build time in half! Set up a matrix strategy for testing across environments. Artifact caching reduced redundant work. The integration with Azure resources is seamless. Template reuse across projects saves so much time! #azure #cicd #devops #automation
Ji-Yeon Park
2 months ago
Disaster recovery drill successful! RTO of 15 minutes achieved with our backup strategy. Tested full region failover on AWS. Route53 health checks trigger automatic DNS failover. Cross-region RDS replicas were the key. Documented everything and trained the team. Sleep better knowing we're prepared! #disasterrecovery #cloud #backup #businesscontinuity
Ji-Yeon Park
3 months ago
Disaster recovery drill successful! RTO of 15 minutes achieved with our backup strategy. Tested full region failover on AWS. Route53 health checks trigger automatic DNS failover. Cross-region RDS replicas were the key. Documented everything and trained the team. Sleep better knowing we're prepared! #disasterrecovery #cloud #backup #businesscontinuity
Ji-Yeon Park
20 days ago
Kubernetes cluster is finally production-ready. Auto-scaling handles traffic spikes beautifully! Set up HPA based on custom metrics from our application. During Black Friday, the cluster scaled from 10 to 45 pods seamlessly. Zero downtime despite 10x normal traffic. Worth every hour of setup! #kubernetes #k8s #devops #autoscaling
Ji-Yeon Park
3 months ago
Kubernetes secrets management with HashiCorp Vault. No more secrets in environment variables! Dynamic secrets with automatic rotation. AWS IAM authentication for pods. The External Secrets Operator syncs Vault secrets to K8s. Audit logs show who accessed what and when. Security team approved! #vault #security #kubernetes #secrets
Ji-Yeon Park
2 months ago
Auto-scaling based on custom metrics. CPU usage alone wasn't enough for our workload! Implemented scaling based on queue depth and request latency. Predictive scaling for known traffic patterns (like daily peaks). The cluster now responds to actual business metrics. Right-sizing finally achieved! #autoscaling #cloud #aws #optimization
Ji-Yeon Park
4 months ago
Docker Compose for local development, Kubernetes for production. Best of both worlds! The key was making the configs as similar as possible. Environment variables bridge the gap. Developers can run the full stack locally with one command. Onboarding new team members is now a breeze! #docker #kubernetes #devops #development
Ji-Yeon Park
3 months ago
Just migrated our entire infrastructure to AWS. The cost savings with reserved instances are incredible! Went from $15k/month to $8k/month by right-sizing instances and using Savings Plans. The migration took 3 months but the ROI was achieved in just 6 months. Planning and tagging were crucial! #aws #cloud #infrastructure #costoptimization
Ji-Yeon Park
3 months ago
AWS Lambda cold starts were killing our API. Provisioned concurrency fixed it! Went from 2-3 second cold starts to consistent 200ms responses. The cost increase was minimal compared to user experience improvement. Also optimized our function packages - smaller bundles = faster starts. #serverless #lambda #aws #performance
Ji-Yeon Park
1 month ago
VPC peering between our staging and production accounts. Network isolation done right! Each environment has its own AWS account. Transit Gateway connects them when needed. Security groups are locked down to specific CIDR blocks. The network diagram finally makes sense to auditors! #aws #vpc #security #networking
Ji-Yeon Park
3 months ago
Disaster recovery drill successful! RTO of 15 minutes achieved with our backup strategy. Tested full region failover on AWS. Route53 health checks trigger automatic DNS failover. Cross-region RDS replicas were the key. Documented everything and trained the team. Sleep better knowing we're prepared! #disasterrecovery #cloud #backup #businesscontinuity
Ji-Yeon Park
2 months ago
Load balancer configuration matters! Switched to least connections algorithm and improved response times. Was using round-robin but some backend instances were getting overwhelmed. Added health checks with proper thresholds. Also implemented connection draining for graceful deployments. #nginx #loadbalancing #cloud #performance
Ji-Yeon Park
1 month ago
Disaster recovery drill successful! RTO of 15 minutes achieved with our backup strategy. Tested full region failover on AWS. Route53 health checks trigger automatic DNS failover. Cross-region RDS replicas were the key. Documented everything and trained the team. Sleep better knowing we're prepared! #disasterrecovery #cloud #backup #businesscontinuity
Ji-Yeon Park
2 months ago
Auto-scaling based on custom metrics. CPU usage alone wasn't enough for our workload! Implemented scaling based on queue depth and request latency. Predictive scaling for known traffic patterns (like daily peaks). The cluster now responds to actual business metrics. Right-sizing finally achieved! #autoscaling #cloud #aws #optimization
Ji-Yeon Park
30 days ago
Docker Compose for local development, Kubernetes for production. Best of both worlds! The key was making the configs as similar as possible. Environment variables bridge the gap. Developers can run the full stack locally with one command. Onboarding new team members is now a breeze! #docker #kubernetes #devops #development