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How to Read a CSV File from Amazon S3 Using Python (With Headers and Rows Displayed)

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  Introduction If you’re working with cloud data, especially on AWS, chances are you’ll encounter data stored in CSV files inside an Amazon S3 bucket . Whether you're building a data pipeline or a quick analysis tool, reading data directly from S3 in Python is a fast, reliable, and scalable way to get started. In this blog post, we’ll walk through: Setting up access to S3 Reading a CSV file using Python and Boto3 Displaying headers and rows Tips to handle larger datasets Let’s jump in! What You’ll Need An AWS account An S3 bucket with a CSV file uploaded AWS credentials (access key and secret key) Python 3.x installed boto3 and pandas libraries installed (you can install them via pip) pip install boto3 pandas Step-by-Step: Read CSV from S3 Let’s say your S3 bucket is named my-data-bucket , and your CSV file is sample-data/employees.csv . ✅ Step 1: Import Required Libraries import boto3 import pandas as pd from io import StringIO boto3 is...
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How to Monitor Kafka-stream's Performance

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Kafka Streams API is a part of Kafka, it goes without saying that monitoring your application will require some monitoring of Kafka as well.

Performance


The consumer and producer performance is one of the fundamental performance concerns for a producer and consumer.
 

Stream performance


The Kafka data flow diagram



Kafka data flow diagram


What is lag


For producers, we care mostly about how fast the producer is sending messages to the broker. Obviously, the higher the throughput, the better.

For consumers, we’re also concerned with performance, or how fast we can read messages from a broker.

we care about how much and how fast our producers can publish to a broker, and we simultaneously care about how quickly our consumers can read those messages from the broker. The difference between how fast the producers place records on the broker and when consumers read those messages is called consumer lag


How to check consumer lag


To check for consumer lag, Kafka provides a convenient command-line tool, kafka-consumer-groups.sh, found in the <kafka-install-dir>/bin directory. The script has a few options, but here we’ll focus on the list and describe options. These two options will give you the information you need about consumer group performance.

List command

<kafka-install-dir>/bin/kafka-consumer-groups.sh \ --bootstrap-server localhost:9092 \ --list


Describe command

<kafka-install-dir>/bin/kafka-consumer-groups.sh \ --bootstrap-server localhost:9092 \ --group <GROUP-NAME> \ --describe


How to trace problem

  • A small lag or one that stays constant is OK, but a lag that continues to grow over time is an indication you’ll need to give your consumer more resources. 
  • For example, you might need to increase the partition count and hence increase the number of threads consuming from the topic. Or maybe your processing after reading the message is too heavyweight. After consuming a message, you could hand it off to an async queue, where another thread can pick up the message and do the processing.

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