Certified Enterprise Observability Engineer
Master enterprise-grade open source observability solutions with industry-leading expertise. Enroll in our comprehensive training program designed specifically for IT professionals seeking to implement scalable monitoring and observability systems using Prometheus, Loki, and Grafana technologies.
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Corporate Pricing
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Training Provider Pricing
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Features
Subsidies
What you'll learn
- Configure Loki for centralized log aggregation and LogQL query processing
- Design enterprise alerting systems with Prometheus Alertmanager integration
- Establish comprehensive Kubernetes and container observability strategies
- Optimize observability stack for scalability and cost-effective operations
- Master PromQL query language for advanced metrics analysis and alerting
- Build production-ready Grafana dashboards with advanced visualization techniques
- Deploy Grafana Alloy for unified telemetry collection across environments
- Implement Prometheus architecture and configure metrics collection pipelines
Why should you attend?
This comprehensive training program provides enterprise professionals with the essential skills to implement and manage open source observability solutions at scale. Participants will master the complete Grafana observability stack, including Prometheus for metrics collection, Loki for log aggregation, and Grafana for visualization and dashboards. The course begins with foundational concepts, exploring the paradigm shift from traditional monitoring to modern observability practices. Students will gain deep understanding of the three pillars of observability and learn to navigate enterprise-specific requirements and challenges. Through extensive hands-on laboratories, participants will configure Prometheus architecture, master PromQL query language, and implement Grafana Alloy for unified telemetry collection. Advanced modules cover container and Kubernetes observability, database monitoring strategies, and application performance monitoring using the RED method. Students will implement comprehensive alerting systems with Prometheus Alertmanager and develop sophisticated dashboard patterns for production environments. The program culminates with enterprise implementation strategies, covering scalability, high availability, multi-tenancy, and cost optimization approaches for large-scale deployments.
Course Syllabus
Day 1 - Foundations and Metrics Collection
Short Break
15 minsShort Break
15 minsRecap and Q&A
15 minsLunch
1 hourShort Break
15 minsShort Break
15 minsShort Break
15 minsRecap and Q&A
15 minsEnd of Day 1
Day 2 - Logs and Integration
Short Break
15 minsShort Break
15 minsRecap and Q&A
15 minsLunch
1 hourShort Break
15 minsShort Break
15 minsShort Break
15 minsRecap and Q&A
15 minsEnd of Day 2
Day 3 - Production and Enterprise
Short Break
15 minsShort Break
15 minsRecap and Q&A
15 minsLunch
1 hourShort Break
15 minsShort Break
15 minsShort Break
15 minsRecap and Q&A
15 minsEnd of Day 3
Ratings and Reviews
Instructor
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.'
Instructor Reviews
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.
Not only knowledgeable but also having hands dirty on what he knows Friendly and building networks quickly.
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
Courses you may like
Why should you attend?
This comprehensive training program provides enterprise professionals with the essential skills to implement and manage open source observability solutions at scale. Participants will master the complete Grafana observability stack, including Prometheus for metrics collection, Loki for log aggregation, and Grafana for visualization and dashboards. The course begins with foundational concepts, exploring the paradigm shift from traditional monitoring to modern observability practices. Students will gain deep understanding of the three pillars of observability and learn to navigate enterprise-specific requirements and challenges. Through extensive hands-on laboratories, participants will configure Prometheus architecture, master PromQL query language, and implement Grafana Alloy for unified telemetry collection. Advanced modules cover container and Kubernetes observability, database monitoring strategies, and application performance monitoring using the RED method. Students will implement comprehensive alerting systems with Prometheus Alertmanager and develop sophisticated dashboard patterns for production environments. The program culminates with enterprise implementation strategies, covering scalability, high availability, multi-tenancy, and cost optimization approaches for large-scale deployments.
What you'll learn
- Configure Loki for centralized log aggregation and LogQL query processing
- Design enterprise alerting systems with Prometheus Alertmanager integration
- Establish comprehensive Kubernetes and container observability strategies
- Optimize observability stack for scalability and cost-effective operations
- Master PromQL query language for advanced metrics analysis and alerting
- Build production-ready Grafana dashboards with advanced visualization techniques
- Deploy Grafana Alloy for unified telemetry collection across environments
- Implement Prometheus architecture and configure metrics collection pipelines
Course Syllabus
Day 1 - Foundations and Metrics Collection
Short Break
15 minsShort Break
15 minsRecap and Q&A
15 minsLunch
1 hourShort Break
15 minsShort Break
15 minsShort Break
15 minsRecap and Q&A
15 minsEnd of Day 1
Day 2 - Logs and Integration
Short Break
15 minsShort Break
15 minsRecap and Q&A
15 minsLunch
1 hourShort Break
15 minsShort Break
15 minsShort Break
15 minsRecap and Q&A
15 minsEnd of Day 2
Day 3 - Production and Enterprise
Short Break
15 minsShort Break
15 minsRecap and Q&A
15 minsLunch
1 hourShort Break
15 minsShort Break
15 minsShort Break
15 minsRecap and Q&A
15 minsEnd of Day 3
Instructor Reviews
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.
Not only knowledgeable but also having hands dirty on what he knows Friendly and building networks quickly.
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.
Public Pricing
Corporate Pricing
Pax:
Training Provider Pricing
Pax:
Certification
Features
Subsidies
Ratings and Reviews
Instructor
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.'
FAQs
Courses you may like
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