18 days ago
Auto-scaling based on custom metrics. CPU usage alone wasn't enough for our workload! #autoscaling #cloud #aws
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
19 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
19 days ago
Standing desk, multiple monitors, Grafana dashboards everywhere. Watching the metrics during a traffic spike. Auto-scaling kicked in perfectly. The infrastructure held. Satisfying! #monitoring #autoscaling #office
20 days ago
Standing desk, multiple monitors, Grafana dashboards everywhere. Watching the metrics during a traffic spike. Auto-scaling kicked in perfectly. The infrastructure held. Satisfying! #monitoring #autoscaling #office
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
20 days ago
Standing desk, multiple monitors, Grafana dashboards everywhere. Watching the metrics during a traffic spike. Auto-scaling kicked in perfectly. The infrastructure held. Satisfying! #monitoring #autoscaling #office
21 days ago
Standing desk, multiple monitors, Grafana dashboards everywhere. Watching the metrics during a traffic spike. Auto-scaling kicked in perfectly. The infrastructure held. Satisfying! #monitoring #autoscaling #office
21 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
21 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
23 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
24 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
24 days ago
Standing desk, multiple monitors, Grafana dashboards everywhere. Watching the metrics during a traffic spike. Auto-scaling kicked in perfectly. The infrastructure held. Satisfying! #monitoring #autoscaling #office
24 days ago
Standing desk, multiple monitors, Grafana dashboards everywhere. Watching the metrics during a traffic spike. Auto-scaling kicked in perfectly. The infrastructure held. Satisfying! #monitoring #autoscaling #office
24 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
25 days ago
Auto-scaling based on custom metrics. CPU usage alone wasn't enough for our workload! #autoscaling #cloud #aws
27 days ago
Auto-scaling based on custom metrics. CPU usage alone wasn't enough for our workload! #autoscaling #cloud #aws
28 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
1 month ago
Standing desk, multiple monitors, Grafana dashboards everywhere. Watching the metrics during a traffic spike. Auto-scaling kicked in perfectly. The infrastructure held. Satisfying! #monitoring #autoscaling #office
1 month 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
1 month 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
1 month 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
1 month ago
Auto-scaling based on custom metrics. CPU usage alone wasn't enough for our workload! #autoscaling #cloud #aws
1 month 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
1 month 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
1 month 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
1 month 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
1 month 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
1 month ago
Standing desk, multiple monitors, Grafana dashboards everywhere. Watching the metrics during a traffic spike. Auto-scaling kicked in perfectly. The infrastructure held. Satisfying! #monitoring #autoscaling #office
1 month 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
