Debugging Hadoop

SRE Interview preparation guide/ Starting point  Sections as below  SRE Interview Questions SRE Scenario Base Questions References for self-learning SRE Interview Questions Question 1: What is Site Reliability Engineering (SRE)?   Answer: Site Reliability Engineering (SRE) is a discipline that combines software engineering and systems administration to build and operate large-scale, reliable, and scalable software systems. SREs focus on creating automated solutions to monitor, manage, and maintain these systems, ensuring their availability, performance, and reliability. Question 2: Can you explain the concept of "Error Budget" in SRE? Answer: Error Budget is a critical concept in SRE. It represents the acceptable amount of downtime or errors that a service can experience within a specific time frame (usually a month). This concept helps balance the trade-off between system reliability and innovation. If the error rate or downtime exceeds the defined budget, develop...

Kafka Admin Task Advance - Part II Part I can be found here Introduction Apache Kafka has revolutionized the way enterprises handle real-time data streaming, making it a cornerstone of modern data architecture. As Kafka's popularity soars, administrators play a pivotal role in optimizing its performance and ensuring seamless data operations. In this blog, we'll dive into four essential Kafka admin tasks that every administrator should master: changing topic replication, migrating topics, increasing partitions, and managing topic replication.     Admin Task 1: Changing Replication of a Topic Replication is at the heart of Kafka's durability and fault tolerance. Adjusting the replication factor of a topic might be necessary to align with changing business needs. Let's explore how to change the replication factor using the Kafka command-line tool.   # Syntax to change replication factor  #bin/kafka-topics.sh --alter --zookeeper localhost:2181 --topic your_topic_name --p...

  Introduction Apache Solr is a powerful and widely used open-source search platform that allows organizations to build highly scalable and fault-tolerant search applications. However, like any complex software, Solr may encounter issues that can impact its performance and functionality. In this comprehensive blog, we will delve into common Apache Solr issues and their fixes, explore how to set up HBase to Solr indexing, and include examples for monitoring Solr using the Solr Admin interface and integrating with Cloudera Hadoop.   I. Common Apache Solr Issues and Fixes: Out-of-memory Errors: Issue: Solr may encounter out-of-memory errors when handling large datasets or complex queries, causing the service to become unresponsive or crash. Fix: Increase Java heap space by modifying the  solr.in.sh  or  solr.in.cmd  file. You can also optimize your queries, use filters instead of queries where possible, and consider distributed search to reduce memory usage. ...