Checkmk

Master the art of IT infrastructure monitoring with our specialized Checkmk training program. Guided by industry experts, this course equips you with essential skills in deploying robust monitoring solutions tailored to your needs. Gain hands-on experience in setting up environments, customizing agents, integrating with various systems while exploring advanced configurations for optimal performance. Enroll now to elevate your expertise in Checkmk's dynamic ecosystem.

Online Jul 7-11, 2025 9:00 AM - 5:00 PM Mohammad Mehdi Lotfinejad
advanced
Checkmk
We price match

Public Pricing

MYR 10000

Corporate Pricing

Pax:

Training Fees: MYR 6500
Total Fees: MYR 6500 ++

Training Provider Pricing

Pax:

Training Fees: MYR 16000
Material Fees: MYR 800
Total Fees: MYR 16800

Features

5 days
35 modules
5 intakes
Full life-time access
English

Classification

Focus Area Course
  • Addresses skill gaps across industries
  • Emphasizes emerging technologies and practices
  • Enhances workforce capabilities
  • Verified by industry experts
  • Broadly applicable across sectors

Subsidies

HRDC Claimable logo

What you'll learn

  • Learn how to set up and manage a comprehensive monitoring environment.
  • Explore integration techniques with external tools like CMDBs.
  • Gain proficiency in monitoring hosts, services, network devices using SNMP.
  • Configure active checks and utilize datasource programs effectively.
  • Develop skills in creating interactive dashboards and views.
  • Understand the core components and architecture of Checkmk.
  • Customize agents with plugins/extensions for enhanced functionality.
  • Implement rule-based configurations for efficient system management.

Why should you attend?

This course offers a comprehensive exploration of Checkmk, a powerful IT monitoring solution designed to provide deep insights into your infrastructure's performance and health. Participants will begin with an introduction to Checkmk, covering its features, editions, and licensing options. This foundational knowledge sets the stage for practical sessions on downloading, installing, and navigating the Checkmk GUI. As the course progresses, learners will delve into the architecture of Checkmk, gaining an understanding of its core components and data flow processes. Setting up a monitoring environment is crucial; thus, participants will learn to create and manage monitoring instances while being introduced to OMD (Open Monitoring Distribution). The course also covers essential topics like adding hosts to the system, service discovery, and managing both Linux and Windows servers through agent installation and configuration. Further modules focus on network device monitoring using SNMP, customizing agents with plugins and extensions, and configuring active checks alongside datasource programs. Learners will also explore advanced features such as creating views and dashboards, rule-based configurations, user management with LDAP/Active Directory integration, notifications setup, distributed monitoring setups, business intelligence mapping, event console handling, reporting capabilities, inventory management, custom checks development, automation via APIs, performance tuning strategies for scaling Checkmk environments efficiently. The course concludes with modules on security best practices in communication channels and user authentication/authorization processes. Backup routines are covered along with upgrade planning/execution strategies ensuring compatibility across versions. Real-world scenarios provide troubleshooting insights while integration techniques connect Checkmk with other tools like ticketing systems or CMDBs (Configuration Management Databases). Finally future developments are discussed alongside case studies offering practical applications.

Course Syllabus

Overview of Checkmk and its features
Editions and licensing
Short Break
15 mins
Short Break
15 mins
Recap and Q&A
15 mins
Lunch
1 hour
Short Break
15 mins
Short Break
15 mins
Short Break
15 mins
Recap and Q&A
15 mins
End of Day 1
Short Break
15 mins
Short Break
15 mins
Recap and Q&A
15 mins
Lunch
1 hour
Short Break
15 mins
Short Break
15 mins
Short Break
15 mins
Recap and Q&A
15 mins
End of Day 2
Short Break
15 mins
Short Break
15 mins
Recap and Q&A
15 mins
Lunch
1 hour
Short Break
15 mins
Short Break
15 mins
Short Break
15 mins
Recap and Q&A
15 mins
End of Day 3
Short Break
15 mins
Short Break
15 mins
Recap and Q&A
15 mins
Lunch
1 hour
Short Break
15 mins
Short Break
15 mins
Short Break
15 mins
Recap and Q&A
15 mins
End of Day 4
Short Break
15 mins
Short Break
15 mins
Recap and Q&A
15 mins
Lunch
1 hour
Short Break
15 mins
Short Break
15 mins
Short Break
15 mins
Recap and Q&A
15 mins
End of Day 5

Instructor

Loading...
Mohammad Mehdi Lotfinejad Certified Data Science Trainer and Data Engineer Teaching

Mohammad Mehdi Lotfinejad is an accomplished Chief Data Officer with a profound expertise in data science and engineering, amassing over ten years of experience in developing data processing pipelines for enterprise insights. He is a proven leader with exceptional communication, presentation, and leadership skills, certified as an HRDF trainer with more than 15 years of experience as a computer science instructor both in academia and as a professional data science/engineering trainer in the industry. His academic credentials include a PhD in Computer Science from Universiti Malaya, Malaysia, and he holds certifications from Harvard Business School in Business Analytics. Mohammad specializes in cutting-edge technologies such as Apache Spark, MySQL, PostgreSQL, MongoDB, Snowflake, Redshift, Apache Airflow, API and Microservices, and Amazon Web Services. Currently serving as the Chief Data and Knowledge Officer at Magna.ai since February 2024, Mohammad leads the development of graph databases and data warehouses to support AI-driven law case analysis services. He architects robust API and microservice solutions to enhance system interoperability and scalability while ensuring data security and compliance with legal standards. Prior to this role, he has been contributing his expertise as a Senior Data Engineer at AXIATA Digital Advertising (ADA) since March 2020. Here, he collaborates on designing automated data pipelines using AWS RedShift and Snowflake for storing telco data and implements BI dashboards leveraging Google BigQuery. From June 2018 to February 2020, Mohammad was the Lead Senior Data Scientist Professional Trainer at The Center of Applied Data Science in Kuala Lumpur. He led teams of data scientists and engineers to design professional training programs for prominent clients like CIMB, PETRONAS, SHELL, and TNB. His earlier roles include leading big data engineering teams at RAHA in Iran where he developed large-scale analytics pipelines using Hadoop Ecosystem tools like Hive and Spark. In academia, Mohammad served as a faculty member at Payame Noor University from September 2014 to June 2018 where he supervised graduate research projects and contributed significantly to curriculum development. His tenure also includes leadership positions at Islamic Azad University where he managed departments to achieve high academic standards. With technical proficiencies spanning RDBMS like MySQL and PostgreSQL to programming languages such as Python and C++, Mohammad is adept at web design using HTML/CSS/Bootstrap alongside project management skills including Scrum Master certification. His published works include books on Object-Oriented Programming and Project Management Fundamentals along with numerous journal articles on topics ranging from solar radiation prediction models to machine learning algorithms for intrusion detection systems.

5 Students
60 Courses

Minimum Qualification

undergraduate

Target Audience

entry level
engineers

Methodologies

lecture
slides
case studies
labs
q&A

Instructor Reviews

Mohammad Mehdi Lotfinejad Certified Data Science Trainer and Data Engineer
MO
Michael Ogheneme
1 year ago
1 year ago

Mehdi and I worked on several projects with company such as Petronas , Shell and CIMB Regional ETC. I must say Mehdi's training was highly appreciated by our clients as he was able to exhibit in full display his vast knowledge as a Data professional. I would highly recommend him to anyone looking for a top tier training expert.

AJ
Amin Jula
1 year ago
1 year ago

Not only knowledgeable but also having hands dirty on what he knows Friendly and building networks quickly.

KO
Kennedy Okonkwo
1 year ago
1 year ago

I had the pleasure of working with Mehdi together on some high-level initiatives such as the Petronas data scientist program and Shell's project to become a data-driven organization. During these projects, Mehdi received numerous accolades for his ability to share his knowledge and mentor up-and-coming data scientists. Based on our shared experiences, I have no hesitation in recommending Mehdi for any project or position he may be considered for.

Why should you attend?

This course offers a comprehensive exploration of Checkmk, a powerful IT monitoring solution designed to provide deep insights into your infrastructure's performance and health. Participants will begin with an introduction to Checkmk, covering its features, editions, and licensing options. This foundational knowledge sets the stage for practical sessions on downloading, installing, and navigating the Checkmk GUI. As the course progresses, learners will delve into the architecture of Checkmk, gaining an understanding of its core components and data flow processes. Setting up a monitoring environment is crucial; thus, participants will learn to create and manage monitoring instances while being introduced to OMD (Open Monitoring Distribution). The course also covers essential topics like adding hosts to the system, service discovery, and managing both Linux and Windows servers through agent installation and configuration. Further modules focus on network device monitoring using SNMP, customizing agents with plugins and extensions, and configuring active checks alongside datasource programs. Learners will also explore advanced features such as creating views and dashboards, rule-based configurations, user management with LDAP/Active Directory integration, notifications setup, distributed monitoring setups, business intelligence mapping, event console handling, reporting capabilities, inventory management, custom checks development, automation via APIs, performance tuning strategies for scaling Checkmk environments efficiently. The course concludes with modules on security best practices in communication channels and user authentication/authorization processes. Backup routines are covered along with upgrade planning/execution strategies ensuring compatibility across versions. Real-world scenarios provide troubleshooting insights while integration techniques connect Checkmk with other tools like ticketing systems or CMDBs (Configuration Management Databases). Finally future developments are discussed alongside case studies offering practical applications.

What you'll learn

  • Learn how to set up and manage a comprehensive monitoring environment.
  • Explore integration techniques with external tools like CMDBs.
  • Gain proficiency in monitoring hosts, services, network devices using SNMP.
  • Configure active checks and utilize datasource programs effectively.
  • Develop skills in creating interactive dashboards and views.
  • Understand the core components and architecture of Checkmk.
  • Customize agents with plugins/extensions for enhanced functionality.
  • Implement rule-based configurations for efficient system management.

Course Syllabus

Overview of Checkmk and its features
Editions and licensing
Short Break
15 mins
Short Break
15 mins
Recap and Q&A
15 mins
Lunch
1 hour
Short Break
15 mins
Short Break
15 mins
Short Break
15 mins
Recap and Q&A
15 mins
End of Day 1
Short Break
15 mins
Short Break
15 mins
Recap and Q&A
15 mins
Lunch
1 hour
Short Break
15 mins
Short Break
15 mins
Short Break
15 mins
Recap and Q&A
15 mins
End of Day 2
Short Break
15 mins
Short Break
15 mins
Recap and Q&A
15 mins
Lunch
1 hour
Short Break
15 mins
Short Break
15 mins
Short Break
15 mins
Recap and Q&A
15 mins
End of Day 3
Short Break
15 mins
Short Break
15 mins
Recap and Q&A
15 mins
Lunch
1 hour
Short Break
15 mins
Short Break
15 mins
Short Break
15 mins
Recap and Q&A
15 mins
End of Day 4
Short Break
15 mins
Short Break
15 mins
Recap and Q&A
15 mins
Lunch
1 hour
Short Break
15 mins
Short Break
15 mins
Short Break
15 mins
Recap and Q&A
15 mins
End of Day 5

Instructor Reviews

Mohammad Mehdi Lotfinejad Certified Data Science Trainer and Data Engineer
MO
Michael Ogheneme
1 year ago
1 year ago

Mehdi and I worked on several projects with company such as Petronas , Shell and CIMB Regional ETC. I must say Mehdi's training was highly appreciated by our clients as he was able to exhibit in full display his vast knowledge as a Data professional. I would highly recommend him to anyone looking for a top tier training expert.

AJ
Amin Jula
1 year ago
1 year ago

Not only knowledgeable but also having hands dirty on what he knows Friendly and building networks quickly.

KO
Kennedy Okonkwo
1 year ago
1 year ago

I had the pleasure of working with Mehdi together on some high-level initiatives such as the Petronas data scientist program and Shell's project to become a data-driven organization. During these projects, Mehdi received numerous accolades for his ability to share his knowledge and mentor up-and-coming data scientists. Based on our shared experiences, I have no hesitation in recommending Mehdi for any project or position he may be considered for.

We price match

Public Pricing

MYR 10000

Corporate Pricing

Pax:

Training Fees: MYR 6500
Total Fees: MYR 6500 ++

Training Provider Pricing

Pax:

Training Fees: MYR 16000
Material Fees: MYR 800
Total Fees: MYR 16800

Features

5 days
35 modules
5 intakes
Full life-time access
English

Classification

Focus Area Course
  • Addresses skill gaps across industries
  • Emphasizes emerging technologies and practices
  • Enhances workforce capabilities
  • Verified by industry experts
  • Broadly applicable across sectors

Subsidies

HRDC Claimable logo

Instructor

Loading...
Mohammad Mehdi Lotfinejad Certified Data Science Trainer and Data Engineer Teaching

Mohammad Mehdi Lotfinejad is an accomplished Chief Data Officer with a profound expertise in data science and engineering, amassing over ten years of experience in developing data processing pipelines for enterprise insights. He is a proven leader with exceptional communication, presentation, and leadership skills, certified as an HRDF trainer with more than 15 years of experience as a computer science instructor both in academia and as a professional data science/engineering trainer in the industry. His academic credentials include a PhD in Computer Science from Universiti Malaya, Malaysia, and he holds certifications from Harvard Business School in Business Analytics. Mohammad specializes in cutting-edge technologies such as Apache Spark, MySQL, PostgreSQL, MongoDB, Snowflake, Redshift, Apache Airflow, API and Microservices, and Amazon Web Services. Currently serving as the Chief Data and Knowledge Officer at Magna.ai since February 2024, Mohammad leads the development of graph databases and data warehouses to support AI-driven law case analysis services. He architects robust API and microservice solutions to enhance system interoperability and scalability while ensuring data security and compliance with legal standards. Prior to this role, he has been contributing his expertise as a Senior Data Engineer at AXIATA Digital Advertising (ADA) since March 2020. Here, he collaborates on designing automated data pipelines using AWS RedShift and Snowflake for storing telco data and implements BI dashboards leveraging Google BigQuery. From June 2018 to February 2020, Mohammad was the Lead Senior Data Scientist Professional Trainer at The Center of Applied Data Science in Kuala Lumpur. He led teams of data scientists and engineers to design professional training programs for prominent clients like CIMB, PETRONAS, SHELL, and TNB. His earlier roles include leading big data engineering teams at RAHA in Iran where he developed large-scale analytics pipelines using Hadoop Ecosystem tools like Hive and Spark. In academia, Mohammad served as a faculty member at Payame Noor University from September 2014 to June 2018 where he supervised graduate research projects and contributed significantly to curriculum development. His tenure also includes leadership positions at Islamic Azad University where he managed departments to achieve high academic standards. With technical proficiencies spanning RDBMS like MySQL and PostgreSQL to programming languages such as Python and C++, Mohammad is adept at web design using HTML/CSS/Bootstrap alongside project management skills including Scrum Master certification. His published works include books on Object-Oriented Programming and Project Management Fundamentals along with numerous journal articles on topics ranging from solar radiation prediction models to machine learning algorithms for intrusion detection systems.

5 Students
60 Courses

Minimum Qualification

undergraduate

Target Audience

entry level
engineers

Methodologies

lecture
slides
case studies
labs
q&A
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