Overview of Course

The Prometheus Certified Associate (PCA) course is designed to provide learners with the knowledge and skills needed to effectively use the Prometheus monitoring and alerting system. It is an ideal certification for DevOps engineers, software developers, and IT professionals looking to gain expertise in Prometheus and advance their careers.

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Course Highlights

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Comprehensive training on Prometheus monitoring and alerting system

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Hands-on experience in installing, configuring, and using Prometheus

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Real-world scenarios and use cases for monitoring and alerting




Key Differentiators

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    Real-world Projects

    We work with experts to curate real business scenarios as training projects

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Skills You’ll Learn

#1

Installing and configuring Prometheus

#2

Collecting and storing metric data

#3

Querying metric data with PromQL

#4

Visualizing data with Grafana

#5

Setting up alerts and notifications

#6

Troubleshooting common issues with Prometheus

Training Options

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Training Vector
Offer Vector

1-on-1 Training

USD 1900 / INR 150000
  • Option Item Access to live online classes
  • Option Item Flexible schedule including weekends
  • Option Item Hands-on exercises with virtual labs
  • Option Item Session recordings and learning courseware included
  • Option Item 24X7 learner support and assistance
  • Option Item Book a free demo before you commit!
Offer Vector

Corporate Training

On Request
  • Option Item Everything in 1-on-1 Training plus
  • Option Item Custom Curriculum
  • Option Item Extended access to virtual labs
  • Option Item Detailed reporting of every candidate
  • Option Item Projects and assessments
  • Option Item Consulting Support
  • Option Item Training aligned to business outcomes
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Course Reviews

Curriculum

  • Metrics
  • Understand logs and events
  • Tracing and Spans
  • Push vs Pull
  • Service Discovery
  • Basics of SLOs, SLAs, and SLIs

  • System Architecture
  • Configuration and Scraping
  • Understanding Prometheus Limitations
  • Data Model and Labels
  • Exposition Format

  • Selecting Data
  • Rates and Derivatives
  • Aggregating over time
  • Aggregating over dimensions
  • Binary operators
  • Histograms
  • Timestamp Metrics

  • Client Libraries
  • Instrumentation
  • Exporters
  • Structuring and naming metrics

  • Dashboarding basics
  • Configuring Alerting rules
  • Understand and Use Alertmanager
  • Alerting basics (when, what, and why)
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