Prometheus Training Courses in Kazakhstan

Prometheus Training Courses

Online or onsite, instructor-led live Prometheus training courses demonstrate through interactive hands-on practice how to use Prometheus for event monitoring and alerting.

Prometheus training is available as "online live training" or "onsite live training". Online live training (aka "remote live training") is carried out by way of an interactive, remote desktop. Onsite live Prometheus trainings in Kazakhstan can be carried out locally on customer premises or in NobleProg corporate training centers.

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Prometheus Course Outlines in Kazakhstan

Course Name
Duration
Overview
Course Name
Duration
Overview
7 hours
This instructor-led, live training in Kazakhstan (online or onsite) is aimed at system administrators and developers who wish to use Prometheus to monitor Kubernetes clusters. By the end of this training, participants will be able to:
  • Install and configure Prometheus.
  • Monitor dynamic cloud environments.
  • Gain better insight into their Kubernetes clusters.
  • Set up alerts that are precise and insightful.
14 hours
This instructor-led, live training in Kazakhstan (online or onsite) is aimed at system administrators and DevOps engineers who wish to use Prometheus to monitor systems and applications natively or through highly dynamic microservices running in a cloud environment. By the end of this training, participants will be able to:
  • Install and configure Prometheus.
  • Understand the features, architecture, and core concepts of Prometheus.
  • Learn how to query data using PromQL.
  • Build visualizations and dashboards with Grafana.
  • Configure systems monitoring and alerting rules.
  • Analyze and optimize systems and application performance.
  • Enable secure integration to remote endpoints and existing systems.

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is growing fast!

We are looking for a good mixture of IT and soft skills in Kazakhstan!

As a NobleProg Trainer you will be responsible for:

  • delivering training and consultancy Worldwide
  • preparing training materials
  • creating new courses outlines
  • delivering consultancy
  • quality management

At the moment we are focusing on the following areas:

  • Statistic, Forecasting, Big Data Analysis, Data Mining, Evolution Alogrithm, Natural Language Processing, Machine Learning (recommender system, neural networks .etc...)
  • SOA, BPM, BPMN
  • Hibernate/Spring, Scala, Spark, jBPM, Drools
  • R, Python
  • Mobile Development (iOS, Android)
  • LAMP, Drupal, Mediawiki, Symfony, MEAN, jQuery
  • You need to have patience and ability to explain to non-technical people

To apply, please create your trainer-profile by going to the link below:

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