Eğitim İçeriği
Module 1: Introduction to the architecture and configuration of the Confluent Apache Kafka cluster
- Kafka's role in modern data pipelines
- Differences between Apache Kafka and Confluent Kafka
- Core components: producers, consumers, brokers, topics, partitions
- Kafka cluster deployment models and scaling considerations
Module 2: Zookeeper Quorum Configuration
- What is Zookeeper?
- Zookeeper’s role in a Kafka cluster
- Zookeeper Quorum size
- Zookeeper configuration
- Implementing SSH on our servers
- Practical: Zookeeper configuration (as a team and as a service)
- Using the Zookeeper Command Line Interface (CLI)
- Practical: Zookeeper Quorum configuration
- Zookeeper internal file system
- Performance factors affecting Zookeeper
- Demonstration of management tools for Zookeeper and Zoonavigator
Module 3: Kafka Cluster Configuration
- Basic Kafka concepts
- Kafka configuration
- Practical: Kafka broker configuration
- Practical: Executing Kafka commands
- Practical: Kafka Multi-Broker Cluster configuration
- Practical: Kafka cluster testing
- Can I connect to my Kafka cluster?
- Advertised.listeners configuration: most important setting
- Topic configuration
- Configuration for downloading and ingesting messages in topics
- Practical: Demonstrating Kafka resilience
- Kafka performance: I/O
- Kafka performance: Network (RED)
- Kafka performance: RAM
- Kafka performance: CPU
- Kafka performance: Operating System (OS)
- Kafka performance: Others
- Practical: How to change Kafka broker configuration
Module 4: Advanced Kafka Configuration
- Landoop Kafka topic user interface, Confluent REST Proxy, Confluent Schema Registry configuration
- Sending and receiving messages (CLI, Java, and Spring framework)
- Monitoring metrics and tools (Confluent Control Center, Elasticsearch, etc.)
- Log files and offset management
- High availability and disaster recovery
- Ensuring high availability through replication
- Tuning producer and consumer performance
- Disaster recovery strategies
- Failover control and data recovery
- Connector configuration
- Kafka Connect implementation
- Kafka security features
Summary and Next Steps
Kurs İçin Gerekli Önbilgiler
- Familiarity with distributed systems and messaging concepts
- Experience with the Linux command line
- Basic understanding of networking and system administration
Audience
- System administrators
- DevOps engineers
- Platform and infrastructure teams
Danışanlarımızın Yorumları (5)
Yeterli uygulamaya imkan, eğitmen bilgili
Chris Tan
Eğitim - A Practical Introduction to Stream Processing
Yapay Zeka Çevirisi
Egzersizler sırasında James, kilitlendiğim her adımda daha detaylı açıklamalar yaptı. Ben NIFI'ye tamamen yeniydim. O, NIFI'nin gerçek amacını, açık kaynak gibi temel konuları bile anlattı. James, beni NIFI'nin kavramlarını Başlangıç Seviyesinden Geliştirici Seviyesine kadar kapsayacak şekilde yönlendirdi.
Firdous Hashim Ali - MOD A BLOCK
Eğitim - Apache NiFi for Administrators
Yapay Zeka Çevirisi
Translate this From: en To: tr İlk olarak bunun elimde olduğunu.
Peter Scales - CACI Ltd
Eğitim - Apache NiFi for Developers
Yapay Zeka Çevirisi
Tartışılan konuların ana noktalarını hatırlatma/inceleme.
Paolo Angelo Gaton - SMS Global Technologies Inc.
Eğitim - Building Stream Processing Applications with Kafka Streams
Yapay Zeka Çevirisi
Informative and had correct level of detail I believe.
Asif Akhtar
Eğitim - Distributed Messaging with Apache Kafka
Yapay Zeka Çevirisi