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LearnKartS

Welcome to the Monitoring, Streams, and Connectors course!

The course is designed to equip participants with advanced skills and knowledge in the critical areas of monitoring, data streams, and connectors within modern IT environments. Monitoring and managing data flows, streams, and connectors are essential for maintaining system health, optimizing performance, and ensuring seamless data integration across platforms.

This course requires a solid understanding of the architecture and components of Kafka and Java/Scala programming.

By the end of the course, you will be able to:

Read more

Welcome to the Monitoring, Streams, and Connectors course!

The course is designed to equip participants with advanced skills and knowledge in the critical areas of monitoring, data streams, and connectors within modern IT environments. Monitoring and managing data flows, streams, and connectors are essential for maintaining system health, optimizing performance, and ensuring seamless data integration across platforms.

This course requires a solid understanding of the architecture and components of Kafka and Java/Scala programming.

By the end of the course, you will be able to:

- Monitor Kafka broker, producer, and consumer metrics.

- Manage quotas and monitor consumer lag.

- Understand Kafka Streams' tasks, threading models, and local state stores.

- Perform K-Stream and K-Table operations.

- Utilize the HTTP REST Interface for Kafka Connect management.

This course contains engaging videos, demos, readings, and assessments to ensure a comprehensive understanding of Apache Kafka.

Enroll now

What's inside

Syllabus

Kafka Monitoring and Schema Registry
This module covers the fundamentals of Kafka monitoring and Kafka schema registry. At the end of this, learners will be able to set up monitoring solutions for Kafka clusters and track component health efficiently.
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Traffic lights

Read about what's good
what should give you pause
and possible dealbreakers
Explores the Apache Kafka ecosystem, essential for modern enterprise environments
Taught by LearnKartS, recognized leaders in data management and processing
Provides skills and knowledge highly relevant across a wide range of data engineering roles
Course requires familiarity with Java/Scala and Kafka architecture and components, which may limit accessibility for some learners

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Reviews summary

Kafka monitoring, streams, and connectors mastery

According to learners, this course is a highly comprehensive and practical guide to Kafka monitoring, Streams, and Connectors. Students particularly praise the fantastic demos, practical labs, and hands-on exercises, which are instrumental in solidifying understanding. The instructor's explanations are clear and engaging, making complex topics accessible. However, it's crucial to note that the course demands a solid understanding of Kafka, Java, and Scala programming, with a fast pace that can be challenging for those without sufficient prior experience. While some wish for more advanced examples in certain areas, it's widely considered highly relevant to industry practices, making it ideal for experienced professionals looking to fill knowledge gaps.
Instructor provides clear, concise, and engaging explanations.
"The instructor's explanations are clear and concise."
"The instructor is knowledgeable and engaging."
"High quality videos and supporting materials."
"The videos are well-produced."
Provides in-depth, relevant coverage of Kafka monitoring, Streams, and Connectors.
"This course is incredibly comprehensive, covering Kafka monitoring, Streams, and Connectors in depth."
"As a data engineer, this course filled several gaps in my Kafka knowledge, especially around monitoring tools and best practices."
"The course material is up-to-date and highly relevant to current industry practices."
"The course depth on Kafka Streams threading models and local state stores was exceptional. It really clarifies complex concepts."
Offers valuable practical demos, labs, and hands-on exercises.
"The demos are fantastic and the labs are practical, really helping to solidify understanding."
"I especially appreciated the hands-on exercises for Kafka Connectors."
"The practical labs and real-world scenarios presented for Kafka Connectors and Streams were invaluable."
"The demos helped a lot."
Some wish for more advanced examples or exhaustive coverage in specific areas.
"I wish there were more advanced examples in the Kafka Streams part."
"Sometimes I felt like the explanations were a bit high-level, and I had to look up external resources for deeper understanding..."
"I thought the section on Kafka Connect HTTP REST interface could have included more hands-on examples..."
Demands solid prior Kafka and Java/Scala knowledge, best for advanced learners.
"The course requires a solid understanding of the architecture and components of Kafka and Java/Scala programming."
"The course has good information, but the pace is very fast if you're not already an expert."
"This course was too advanced for me, despite having some Kafka experience. The prerequisites mentioned were truly a minimum..."
"I found this course extremely difficult and poorly explained for someone without advanced prior knowledge."

Activities

Be better prepared before your course. Deepen your understanding during and after it. Supplement your coursework and achieve mastery of the topics covered in Monitoring, Streams, and Connectors with these activities:
Connect with Kafka Experts
Seek guidance from experienced professionals by reaching out to Kafka experts, who can provide invaluable advice and support throughout your learning journey.
Show steps
  • Identify potential mentors
  • Reach out and introduce yourself
  • Set up regular meetings or calls
Study Group for Kafka Monitoring
Enhance your comprehension by joining a study group focused on Kafka monitoring, where you can share knowledge, ask questions, and learn from peers.
Show steps
  • Find a group of fellow learners
  • Set up regular meeting times
  • Discuss monitoring strategies
  • Troubleshoot issues together
Attend Kafka Summit
Immerse yourself in the Kafka ecosystem by attending Kafka Summit, where you can engage with experts and learn about the latest advancements.
Show steps
  • Register for the conference
  • Attend talks and workshops
  • Network with other attendees
Four other activities
Expand to see all activities and additional details
Show all seven activities
Kafka Broker Monitoring Exercises
Strengthen your monitoring skills by actively practicing the monitoring of Kafka brokers, ensuring system health.
Show steps
  • Set up a Kafka cluster locally
  • Configure monitoring tools
  • Analyze broker metrics and identify anomalies
  • Develop scripts for automated monitoring
Kafka Streams Deep Dive
Enhance your understanding of Kafka Streams by following guided tutorials that delve into its architecture, operations, and use cases.
Show steps
  • Explore Confluent University's Kafka Streams tutorials
  • Work through examples from the Kafka documentation
  • Build a simple data pipeline using Kafka Streams
  • Participate in online forums and discussions
Participate in Kafka Hackathon
Challenge yourself by participating in a Kafka hackathon, where you can apply your skills to solve real-world problems and showcase your expertise.
Show steps
  • Form a team or join an existing one
  • Brainstorm and develop a project idea
  • Build and implement your solution
  • Present your project to a panel of judges
Kafka Connector Configuration Guide
Solidify your knowledge of Kafka Connectors by creating a comprehensive guide that covers their configuration, deployment, and usage.
Show steps
  • Research different Kafka Connectors
  • Document their configuration options
  • Provide examples of their use cases
  • Publish your guide online

Career center

Learners who complete Monitoring, Streams, and Connectors will develop knowledge and skills that may be useful to these careers:

Reading list

We've selected 28 books that we think will supplement your learning. Use these to develop background knowledge, enrich your coursework, and gain a deeper understanding of the topics covered in Monitoring, Streams, and Connectors.
Provides a deep dive into the internals of Apache Kafka, including its architecture, data structures, and algorithms. It's a great resource for anyone who wants to understand how Kafka works under the hood.
Is considered a foundational text in Site Reliability Engineering (SRE), a discipline heavily intertwined with modern monitoring practices. It provides a comprehensive overview of how Google approaches reliability, including their philosophies on monitoring, alerting, and incident response. It is highly valuable for establishing a strong understanding of the principles behind effective monitoring in large-scale systems and is commonly used as a reference by industry professionals.
Focuses on the modern concept of observability in software engineering, which goes beyond traditional monitoring. It provides a practical guide to building and managing highly observable systems, covering logging, metrics, and tracing. This key book for understanding contemporary topics in monitoring and is highly relevant for those working with complex distributed systems.
Provides a comprehensive overview of Apache Kafka, covering everything from its architecture and data model to its APIs and internals. It's a must-read for anyone who wants to understand Kafka in depth.
As a companion to 'Site Reliability Engineering,' this workbook offers practical examples and case studies from Google and other companies on implementing SRE principles. It provides hands-on guidance for applying the concepts discussed in the first book, including practical approaches to monitoring and incident management. is excellent for deepening the understanding gained from the foundational SRE text and useful reference for implementing SRE practices.
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Is considered a foundational text in understanding the principles of large-scale data processing, particularly focusing on streaming data. It provides a conceptual and platform-agnostic view, making it excellent for gaining a broad understanding. It delves into core concepts like watermarks and exactly-once processing, essential for anyone working with real-time data streams. This book is highly valuable as a primary reference for both students and professionals.
Focuses on Service Level Objectives (SLOs), a key concept in SRE and a crucial aspect of effective monitoring. It provides guidance on defining and implementing SLOs to improve system reliability. This book is essential for anyone serious about using monitoring to drive reliability improvements.
Offers a pragmatic and tool-agnostic approach to monitoring. It covers essential topics such as monitoring antipatterns, principles of monitoring design, and getting metrics and logs from applications. It is highly relevant for gaining a broad understanding of effective monitoring strategies and valuable resource for anyone looking to improve their monitoring practices regardless of the specific tools they use.
This book, an excerpt from the 'Site Reliability Engineering' book, focuses specifically on monitoring distributed systems. It explains basic principles and best practices for building successful monitoring and alerting systems in complex environments. It is highly relevant for those working with distributed systems and provides implementation-agnostic guidance.
Provides a deep dive into modern monitoring practices, covering a wide range of tools and techniques. It is an opinionated book that offers valuable insights into implementing effective monitoring solutions. While it discusses specific tools, it also contains plenty of theory that is essential for a solid understanding of the topic.
Focuses on OpenTelemetry, an open-source framework for instrumenting applications for observability. It covers setting up and operating a modern observability system using OpenTelemetry. This key book for understanding contemporary approaches to collecting telemetry data.
While not solely focused on data streams, this book provides an essential foundation in the principles of distributed systems and data processing, which are critical for understanding data streams in a broader context. It covers various data systems, including messaging systems and batch processing, offering valuable background knowledge. is widely regarded as a must-read for anyone in data engineering and is often used as a reference.
Given the mention of Kafka in the course names, this book is highly relevant for gaining a deep understanding of a key technology in the data streaming ecosystem. It covers the architecture, design, and implementation of Kafka, providing practical knowledge for building real-time data pipelines. valuable reference for those working with or planning to use Kafka for data stream processing.
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This collection of essays offers diverse perspectives on implementing SRE principles in various settings. It explores how SRE relates to DevOps and discusses cutting-edge specialties in the field, including aspects of monitoring and reliability. is valuable for gaining a broader understanding of how SRE and monitoring are practiced in different organizations.
For those specifically interested in building applications with Kafka's Streams API, this book provides a practical, hands-on approach. It guides readers through building real-time applications and microservices using Kafka Streams. It's a valuable resource for developers looking to implement stream processing solutions with Kafka.
Apache Flink is another prominent stream processing framework. offers a comprehensive guide to understanding and using Flink for building streaming applications. It covers fundamental concepts and practical implementation details, making it suitable for deepening one's understanding of stream processing technologies beyond Kafka. It serves as a useful reference for those interested in or using Apache Flink.
Focuses on the practical aspects of monitoring and alerting for web operations. It delves into the technical details of configuring and maintaining monitors and alerts. It useful resource for those looking to deepen their understanding of implementing effective alerting strategies.
Applies SRE principles to database systems, including specific guidance on monitoring database performance and reliability. It specialized book that provides in-depth knowledge for those focused on database monitoring. It useful resource for deepening understanding in a critical area of infrastructure.
Provides a practical approach to network observability using popular open-source tools. It covers gathering, normalizing, and visualizing network data for data-driven operations. This book is highly relevant for network professionals and those interested in the network aspects of monitoring and observability.
Data sketches are essential data structures for summarizing massive data streams with limited memory. provides a comprehensive overview of sketching algorithms, their analysis, and applications in various domains. It is highly relevant for understanding contemporary techniques for processing and analyzing large-scale data streams efficiently.
Practical guide to using Grafana for creating dashboards and visualizing data. Grafana popular tool for visualizing metrics collected by monitoring systems like Prometheus. This book is useful for understanding how to effectively present monitoring data.
Delves into the algorithmic foundations of data stream processing. It explores various algorithms and techniques for processing data under limited resources, which core challenge in data streaming. It valuable resource for those looking to understand the theoretical underpinnings of streaming algorithms. This book is more theoretical and suitable for those with a strong computer science background.
While not solely focused on monitoring, this influential book on DevOps covers the importance of feedback loops and the role of monitoring in achieving reliability and agility. It provides a broader context for understanding where monitoring fits within a successful technology organization. It valuable resource for understanding the cultural and organizational aspects that support effective monitoring.
Focuses on the analytical aspects of data streams, covering techniques for analyzing and visualizing data in real-time. It provides insights into building real-time analytics platforms and includes case studies, making it practical for those interested in deriving value from streaming data. While published in 2014, the core techniques discussed still hold relevance for understanding real-time data analysis.
Provides foundational algorithms and techniques for dealing with large datasets, including concepts relevant to data streams such as sampling and sketching. While not exclusively about streaming, it offers essential algorithmic background for processing massive amounts of data efficiently. The book is often used as a textbook in data science and computer science programs.
While focused on Spark, this book includes patterns for performing large-scale data analysis that can be applied to streaming data scenarios, particularly with Spark Streaming or Structured Streaming. It demonstrates how to apply analytical techniques to big data, offering valuable insights for processing and analyzing data streams at scale. is more advanced and requires some familiarity with Spark.
Introduces the Lambda Architecture, a data processing architecture that handles both batch and streaming data. While the Lambda Architecture has evolved, understanding its principles provides valuable context for modern data processing systems, including those dealing with data streams. It's a foundational book for understanding scalable data systems.

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