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.

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Checkmk
We price match

Public Pricing

MYR 15000

Corporate Pricing

Pax:

Training Fees: MYR 6500/day
Total Fees: MYR 32500 ++

Training Provider Pricing

Pax:

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

Features

5 days
35 modules
2 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

Day 1 - Checkmk Fundamentals Setup
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
Day 2 - Host Service Monitoring
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
Day 3 - Advanced Monitoring Configuration
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
Day 4 - Enterprise Features Integration
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
Day 5 - Optimization Best Practices
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 and certified HRDF trainer with over 15 years of experience in computer science instruction and professional data science/engineering training. He combines extensive academic credentials with deep industry expertise, holding a PhD in Computer Science from Universiti Malaya and Harvard Business School certification in Business Analytics. His comprehensive technical background spans Apache Spark, MySQL, PostgreSQL, MongoDB, Snowflake, Redshift, Apache Airflow, API development, microservices, and Amazon Web Services. Currently serving as Chief Data and Knowledge Officer at Magna.ai, a Florida-based lawtech company, Lotfinejad leads the development of AI-driven legal case analysis systems, architecting graph databases, data warehouses, and workflow engines while ensuring compliance with legal standards. His concurrent role as Senior Data Engineer at AXIATA Digital Advertising (ADA) in Malaysia demonstrates his ability to manage complex, multi-regional data operations across Southeast Asian markets, designing automated pipelines using AWS RedShift, Snowflake, and Google BigQuery. His training expertise was honed during his tenure as Lead Senior Data Scientist Professional Trainer at The Center of Applied Data Science, where he designed and delivered comprehensive training programs for major corporations including CIMB, PETRONAS, SHELL, and TNB. He successfully led teams of data scientists and engineers in developing cutting-edge curriculum and migrating legacy systems to modern data management solutions. His academic foundation includes faculty positions at multiple universities where he taught computer architecture, programming languages, software engineering, and data structures while publishing numerous high-impact research papers and books. Lotfinejad's unique combination of technical leadership, educational expertise, and industry experience makes him exceptionally qualified to deliver sophisticated software training programs. His proven track record of leading cross-functional teams, developing enterprise-level solutions, and translating complex technical concepts into accessible learning materials positions him as an ideal trainer for organizations seeking to advance their technical capabilities in data science, engineering, and modern software development practices.'

8 Students
75 Courses
18 Years

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
review avatar
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.

review avatar
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.

review avatar
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.

FAQs

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

Day 1 - Checkmk Fundamentals Setup
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
Day 2 - Host Service Monitoring
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
Day 3 - Advanced Monitoring Configuration
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
Day 4 - Enterprise Features Integration
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
Day 5 - Optimization Best Practices
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
review avatar
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.

review avatar
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.

review avatar
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 15000

Corporate Pricing

Pax:

Training Fees: MYR 6500/day
Total Fees: MYR 32500 ++

Training Provider Pricing

Pax:

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

Features

5 days
35 modules
2 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 and certified HRDF trainer with over 15 years of experience in computer science instruction and professional data science/engineering training. He combines extensive academic credentials with deep industry expertise, holding a PhD in Computer Science from Universiti Malaya and Harvard Business School certification in Business Analytics. His comprehensive technical background spans Apache Spark, MySQL, PostgreSQL, MongoDB, Snowflake, Redshift, Apache Airflow, API development, microservices, and Amazon Web Services. Currently serving as Chief Data and Knowledge Officer at Magna.ai, a Florida-based lawtech company, Lotfinejad leads the development of AI-driven legal case analysis systems, architecting graph databases, data warehouses, and workflow engines while ensuring compliance with legal standards. His concurrent role as Senior Data Engineer at AXIATA Digital Advertising (ADA) in Malaysia demonstrates his ability to manage complex, multi-regional data operations across Southeast Asian markets, designing automated pipelines using AWS RedShift, Snowflake, and Google BigQuery. His training expertise was honed during his tenure as Lead Senior Data Scientist Professional Trainer at The Center of Applied Data Science, where he designed and delivered comprehensive training programs for major corporations including CIMB, PETRONAS, SHELL, and TNB. He successfully led teams of data scientists and engineers in developing cutting-edge curriculum and migrating legacy systems to modern data management solutions. His academic foundation includes faculty positions at multiple universities where he taught computer architecture, programming languages, software engineering, and data structures while publishing numerous high-impact research papers and books. Lotfinejad's unique combination of technical leadership, educational expertise, and industry experience makes him exceptionally qualified to deliver sophisticated software training programs. His proven track record of leading cross-functional teams, developing enterprise-level solutions, and translating complex technical concepts into accessible learning materials positions him as an ideal trainer for organizations seeking to advance their technical capabilities in data science, engineering, and modern software development practices.'

8 Students
75 Courses
18 Years

Minimum Qualification

undergraduate

Target Audience

entry level
engineers

Methodologies

lecture
slides
case studies
labs
q&A

FAQs

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