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8 Ways to Optimize AWS Glue Jobs in a Nutshell

  Improving the performance of AWS Glue jobs involves several strategies that target different aspects of the ETL (Extract, Transform, Load) process. Here are some key practices. 1. Optimize Job Scripts Partitioning : Ensure your data is properly partitioned. Partitioning divides your data into manageable chunks, allowing parallel processing and reducing the amount of data scanned. Filtering : Apply pushdown predicates to filter data early in the ETL process, reducing the amount of data processed downstream. Compression : Use compressed file formats (e.g., Parquet, ORC) for your data sources and sinks. These formats not only reduce storage costs but also improve I/O performance. Optimize Transformations : Minimize the number of transformations and actions in your script. Combine transformations where possible and use DataFrame APIs which are optimized for performance. 2. Use Appropriate Data Formats Parquet and ORC : These columnar formats are efficient for storage and querying, signif

Load Balancers in AWS: Choosing the Right Option for Your Application

The load balancer's purpose is to balance the incoming traffic. It allocates the incoming traffic to the available healthy servers. Here are the top AWS load balancers.

AWS Load balancers

These are Application Load Balancer, Gateway Load Balancer, and Network Load Balancer.

  • Application Load Balancers
  • Gateway Load Balancers
  • Network Load Balancers

1. Application Load Balancers (ALB)

A Load balancer contains two parts - Listeners and Target groups. The listener then connects to a target group. The listener first checks the availability of connection according to the IP address and Port you did configure.

2. Gateway Load Balancers (GWLB)

A Gateway Load Balancer receives traffic from the source and sends the traffic to targets. It sends requests to multiple virtual appliances. It's the prime difference between ALB and GWLB.

3. Network Load Balancers (NLB)

A Network Load Balancer functions at the fourth layer of the Open Systems Interconnection (OSI) model. It can handle millions of requests per second. It takes routing decisions at the transport layer.



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