This is the second part of High scale web server with Kubernetes. We will go over Kubernetes Horizontal Pod Autoscale and how we are using it at Dynamic Yield. Overview While serving a huge amount of requests, we can easily observe that our traffic graph looks like a sine wave with a high rate at midday and …
Here at Dynamic Yield we are serving thousands of HTTP requests per second. Moving our serving services from EC2 to EKS required some tuning to ensure we could serve efficiently without losing any request. I summarized some tips and I hope it might help others with a smooth transition. Overview Kubernetes can decide to proactively replace pods …
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One of the goals that my colleagues and I emphasis when implementing DevOps best-practices is seamless CI-CD process. While some AWS services are bundled with deployment strategies out-of-the-box, sometimes, we want to be agnostic to a specific “wrapping” service (Elastic Beanstalk, CodeDeploy) and run our apps on “bare” EC2 instances, thus gain more control. So …
Blue/Green deployments with AWS Auto-Scaling Group and Terraform Read More »
Terraform has been a great tool for me to maintain infrastructure as a code (IaC). In fact, 90% of our current environment infrastructure is provisioned via Terraform. Lately, I’ve stumbled upon a challenging case: How to zip AWS Lambda function on the fly without using external script? Well, apparently there’s a little trick that doe’s this …
As the size of data in our world continues to grow, we will increasingly have to deal with data that that doesn’t fit into memory (a constraining factor for those using R/Python). While one solution is to buy more RAM (which is now easier than ever in cloud services like Amazon Web Services and Azure), …
The following is a soup to nuts walkthrough of how to set up and deploying a Django app to Amazon Web Services (AWS) all while remaining sane. Tools/technologies used: Python v2.7.8 Django v1.7 Amazon Elastic Beanstalk, EC2, S3, and RDS EB CLI 3.x PostgreSQL This article has been updated to cover deploying with Python 3 …
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