Maintenance, monitoring and problem solving course

Educational Institution
Mode On-line
Duration 200 hours
Languages Spanish
260
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Curriculum

Summary

In the current cloud technology environment, Kubernetes has become the standard for container management, but its correct administration and monitoring are still a challenge. The maintenance, monitoring and problem solving course of kubernetes is designed to provide you with the necessary tools to optimize, monitor and ensure your production clusters. Through practical training, you will specialize in problem solving, scalability management, and disaster recovery. At the end, you will have the ability to master kubernettes efficiently and professionally, guaranteeing optimal performance and reinforced security in your systems.

Goals

- Understand the key maintenance concepts in kubernettes clusters. - Learn to diagnose and solve failures in pods and networks. - Implement advanced monitoring and logging tools such as Prometheus and Grafana. - Design recovery and backup strategies for production clusters. - Configure robust security policies with RBAC and certificates. - Optimize the performance and scalability of Kubernetes in high concurrence environments. - Apply advanced orchestration techniques through operators and Jobs.

Professional opportunities

When completing the maintenance, monitoring and problem solving course of kubernetes, you can perform in Kubernetes administration, cloud architecture or specialist in distributed systems. The acquired skills will allow you to efficiently manage kubernetic environments in technology and growing startup companies.

To prepare you

The maintenance, monitoring and problem solving course of kubernetes prepares you to manage clusters of confidence, implementing effective solutions for the monitoring, problem solving, backup and security. You will learn to configure tools such as Prometheus, Grafana and Fluentd, improve the efficiency of deployments, and optimize resources, guaranteeing continuous operation in production environments.

Who is it addressed to?

The maintenance, monitoring and problem solving course of Kubernetes is aimed at professionals of the cloud systems and architecture to improve its ability to manage, monitor and solve problems in Kubernettes clusters. It is also ideal if you seek to deepen the safety, scalability and recovery of clusters in production.

Methodology

Our methodology combines technology, pedagogy and empathy for learning tailored to you.

You set the pace, decide the path and artificial intelligence accompanies you so that you learn better, with meaning and purpose.

Truly personalized learning

Your style, interests and level define the route. You are the starting point.

Constructivism in action

Explore, experiment and apply. Learning means understanding, not memorizing.

AI that accompanies you, not directs you

PHIA, our artificial intelligence assistant guides you without limiting your autonomy.

Evaluation without pressure

Continuous and adaptive feedback. Because learning is a process, not a number.

Certification

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Degree issued by Educa Open, specialized center in training in various technological areas

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Scholarships

EducaHub Scholarships

Make your training more accessible: finance at 0% interest and obtain personalized scholarships.

At EducaHub we believe that education should be available to everyone. For this reason, we offer a Scholarship Plan that facilitates your access to practical, current and quality training, eliminating economic barriers.

-25%

Alumni Scholarship: for former EducaHub students.

-20%

Unemployment Scholarship: if you prove that you are unemployed.

-20%

Large Family Scholarship: for families with 3 or more children.

-20%

Disability Scholarship: for people with disabilities ≥33%.

-15%

Emprende Scholarship: for self-employed workers who can prove their activity.

-15%

Recommended Scholarship: if you come recommended by a former student.

-15%

Group Scholarship: for joint registrations of 3 or more people.

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Available 24/7 on mobile, tablet or PC. You decide when and how to train.

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