A detailed guide to running dbt Core in production in AWS on ECS is outlined, focusing on achieving cost-effective and reliable execution.
Running dbt in production is not highly compute-intensive, as it primarily serves as an orchestrator, making it more cost-efficient compared to running Python code that utilizes compute resources.
By setting up dbt Core on ECS in AWS and using Orchestra, you can achieve a scalable, cost-effective solution for self-hosting dbt Core with full visibility and control.
Data Engineers may have a love-hate relationship with AWS Lambdas due to their versatility but occasional limitations.
AWS Lambdas are under-utilized in Data Engineering but offer benefits like cheap solutions, ease of use, and driving better practices.
AWS Lambdas are handy for processing small datasets, running data quality checks, and executing quick logic while reducing architecture complexity and cost.
There are 4 main disaster recovery techniques: Backup & Restore, Pilot Light, Warm StandBy, and Multi-Site Active/Active.
The techniques aim to optimize for RPO (Recovery Point Objective) and RTO (Recovery Time Objective), which determine how much data loss and downtime are acceptable.
The choice of technique depends on factors like cost, recovery speed, and the criticality of the application, with each method having its own advantages and trade-offs.
Autoscaling allows you to adjust resources automatically based on traffic, ensuring your application stays performant and resilient.
Auto Scaling Groups in AWS help manage resources by defining minimum, desired, and maximum instances, allowing for easy scaling up and down.
AWS Auto Scaling Groups provide strategies like simple scaling, target scaling, and step scaling to optimize costs and react to traffic based on predefined metrics.
Amazon CloudWatch Logs Live Tail helps developers follow cloudwatch logs in real-time with features like dynamic filters and highlights.
Live Tail can stream logs in around 2 seconds from when they are ingested in CloudWatch, while using CLI can vary between 2 to 9 seconds.
Live Tail's pricing model is per-second and includes a free tier of 1,800 minutes per month, making it a useful addition to AWS console tool set for real-time log monitoring.
Transitioning to running your dev environment on the cloud, like Amazon EC2, can offer more versatility and improved performance.
Key components of setting up a development environment on Amazon EC2 include VPC, Autoscaling Group, and EC2 Instance with specific configurations.
Optimizations like adding tailscale, hibernating instances, using vscode for connection, and utilizing reserved instances can further enhance the cloud-based development setup.