Project: π‘ Optimizing ELK Stack Costs with S3 & Lifecycle Management π°
Hey #Cloud #DevOps folks! π Sharing a recent project where we tackled a common challenge: skyrocketing ELK stack costs! π
Our client was storing all kinds of logs (application, K8s, infrastructure, Jenkins β you name it!) in their ELK setup, including tons of historical data. This led to overload and a seriously hefty bill. πΈ
Our solution? β‘οΈ We implemented a strategy to offload Jenkins logs to an S3 bucket and applied lifecycle management policies. This meant:
π Moving Jenkins logs from the EC2 instance to S3.
β³ Automatically transitioning older logs to Glacier/Deep Archive for cost savings.
ποΈ Deleting aged logs based on the defined lifecycle, keeping only the recent data needed.
The results? π₯ A whopping 50% cost reduction! π
This approach not only slashed expenses but also improved the performance of their ELK stack by reducing the data volume. π
Key steps included:
π Installing the AWS CLI on the Jenkins EC2 instance. π»
π Creating a bash script to automate log transfer to S3 daily. βοΈ
π Configuring S3 lifecycle policies to manage log archiving and deletion.βοΈ