Apache Mesos - large-scale cluster management
Advanced training focusing on the practical aspects of deploying and managing Apache Mesos clusters in a production environment. During the workshop, participants will learn about the system architecture and gain practical skills in container orchestration and large-scale resource management. The class is conducted in the form of an intensive workshop, where theory is immediately translated into practice through the implementation of real deployment scenarios.
Issues
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Apache Mesos architecture
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Cluster resource management
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Mesos Frameworks
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Marathon and container orchestration
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High availability
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Application scaling
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Resource allocation policies
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Isolation mechanisms
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Monitoring and diagnostics
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Performance optimization
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Automating deployments
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Disaster recovery strategies
Benefits
- The knowledge gained will enable you to independently design and implement Apache Mesos-based solutions in a production environment
- You will significantly increase efficiency in cluster resource management and container orchestration
- Practical experience will allow you to optimize the performance and reliability of your infrastructure
- After the training it will be possible to efficiently diagnose and troubleshoot problems in the cluster environment
- The training will develop skills in automating infrastructure management processes
- The knowledge gained will enable the implementation of advanced high availability strategies
Who is this training for?
Prerequisites
- Knowledge of Linux systems at an administrative level
- Basic knowledge of containerization
- Experience in infrastructure management
- Understand the concept of distributed systems
Training program
Components and operating principles
- Resource management model
- High availability and scalability
- Integration with external systems
- Deployment and configuration
- Installation and configuration of the cluster
Framework management
- Resource allocation policies
Isolation mechanisms
- Orchestration of containers
Marathon integration
- Container application management
Scaling and upgrades
- Handling failures and recovery
- Monitoring and optimization
- Cluster monitoring systems
Performance analysis
- Troubleshooting
- Optimize the use of resources
Delivery Methods
Online
- Convenience of participating from anywhere
- Interactive live sessions with trainer
- Materials available for 30 days
- No travel costs
On-site
- Direct contact with trainer and group
- Intensive hands-on workshops
- Networking with other participants
- Full focus on learning
Frequently asked questions
What are the prerequisites for this training?
For Apache Mesos - large-scale cluster management we recommend: Knowledge of Linux systems at an administrative level; Basic knowledge of containerization; Experience in infrastructure management.
What is the format and duration of this training?
The training lasts 2 days and is available in online and on-site format. Sessions run from 9:00 AM to 4:00 PM. We can also customize the schedule to fit your team's needs.
Who is this training designed for?
This training is designed for: System administrators dealing with production clusters; DevOps engineers responsible for infrastructure; Architects of cloud solutions.
What practical skills will I gain from this training?
You will gain practical skills to independently design and implement Apache Mesos-based solutions in production environments, manage cluster resources efficiently, orchestrate containers, and automate infrastructure management processes.
What is the difference between online and on-site formats?
Both formats cover the same content and are led by the same expert instructors. Online training offers flexibility and convenience, while on-site training provides direct interaction and hands-on lab access. Choose the format that best suits your team's needs.
How does Apache Mesos differ from Kubernetes for container orchestration?
The training addresses Apache Mesos as a general-purpose cluster resource manager that can run multiple frameworks simultaneously — not just containers. Participants learn Mesos architecture and its strengths in large-scale heterogeneous workload management, which complements knowledge of Kubernetes.
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Funding Options
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