What tools are used in this course?

This course uses open-source and Ubuntu-friendly tools such as Kubernetes, Argo CD, Prometheus, Grafana, Pyrra, GoAlert, Ansible, kubectl, Helm, Docker, and Markdown-based templates. These tools support monitoring, alerting, automation, incident response, GitOps recovery, and SLO tracking.

Do I need prior SRE experience?

No prior SRE experience is required. However, learners should have a basic understanding of Linux commands, YAML, Kubernetes fundamentals, Git, and DevOps concepts to follow the practical demonstrations comfortably.

Do I need access to a Kubernetes environment?

Yes. Since the course includes Kubernetes-based demonstrations using tools such as Argo CD, Prometheus, Grafana, Helm, and kubectl, access to an Ubuntu-based Kubernetes environment is recommended.

What incident management skills will I learn?

You will learn how incidents are detected, triaged, escalated, communicated, mitigated, resolved, and reviewed. The course also covers on-call responsibilities, escalation workflows, handoffs, runbooks, burnout reduction, and writing blameless incident postmortems.

How does this course cover automation?

The course covers automation through toil reduction, runbook standardization, and Ansible playbooks. You will learn how routine operational tasks such as service checks, restarts, configuration validation, and system health collection can be automated.

What skills will I gain from this course?

You will gain practical skills in defining reliability targets, monitoring service health, building dashboards, configuring alerts, managing incidents, reducing toil, automating SRE tasks, tracking SLOs and error budgets, and performing GitOps-based rollback.

What will I get if I purchase the Certificate?

When you purchase a Certificate you get access to all course materials, including graded assignments. Upon completing the course, your electronic Certificate will be added to your Accomplishments page - from there, you can print your Certificate or add it to your LinkedIn profile.

Is financial aid available?

Yes. In select learning programs, you can apply for financial aid or a scholarship if you can’t afford the enrollment fee. If fin aid or scholarship is available for your learning program selection, you’ll find a link to apply on the description page.

Site Reliability Engineering (SRE) Principles

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Site Reliability Engineering (SRE) Principles

Dozent: Edureka

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4 Module

Verschaffen Sie sich einen Einblick in ein Thema und lernen Sie die Grundlagen.

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Empfohlene Erfahrung

9 Stunden zu vervollständigen

Flexibler Zeitplan

In Ihrem eigenen Lerntempo lernen

4 Module

Verschaffen Sie sich einen Einblick in ein Thema und lernen Sie die Grundlagen.

Stufe Anfänger

Empfohlene Erfahrung

9 Stunden zu vervollständigen

Flexibler Zeitplan

In Ihrem eigenen Lerntempo lernen

Was Sie lernen werden

Define and apply SLIs, SLOs, and error budgets to measure service reliability.
Build monitoring dashboards and SLO-based alerts using Prometheus and Grafana.
Manage incident response using on-call workflows, escalation practices, and blameless postmortems.
Automate routine SRE tasks and perform GitOps-based rollback for reliable recovery.

Kompetenzen, die Sie erwerben

Kategorie: System Monitoring
Kategorie: Automation
Kategorie: AI literacy
Kategorie: DevOps
Kategorie: Release Management
Kategorie: Incident Response
Kategorie: Service Level
Kategorie: Infrastructure as Code (IaC)
Kategorie: Dashboard Creation
Kategorie: IT Automation
Kategorie: Cloud-Native Computing
Kategorie: Anomaly Detection
Kategorie: Continuous Monitoring

Werkzeuge, die Sie lernen werden

Kategorie: Ansible
Kategorie: Kubernetes
Kategorie: Git (Version Control System)
Kategorie: Prometheus (Software)

Wichtige Details

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Juni 2026

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In diesem Kurs gibt es 4 Module

This course equips you with practical Site Reliability Engineering (SRE) skills for modern cloud-native and DevOps environments. You will begin with SRE fundamentals, including reliability principles, the relationship between SRE and DevOps, and key reliability metrics such as SLIs, SLOs, and error budgets.

You will then explore observability and operations using Prometheus, Grafana, and Argo CD for monitoring, alerting, dashboards, GitOps deployments, incident management, on-call practices, and blameless postmortems. The course concludes with SRE automation and recovery, covering runbooks, Ansible playbooks, Pyrra, burn-rate alerts, GitOps-based rollbacks, and anomaly detection. By the end of the course, you will be able to define and implement reliability objectives, build monitoring and SLO dashboards, configure effective alerts, manage incidents and postmortems, automate operational tasks, track error budgets, and apply recovery strategies using GitOps workflows. Designed for DevOps engineers, SREs, platform engineers, cloud engineers, Kubernetes administrators, and operations teams, this course requires a basic understanding of Linux, Git, YAML, and Kubernetes fundamentals. Enroll today and take the next step toward becoming a skilled Site Reliability Engineer capable of building resilient, observable, and highly automated cloud-native systems that scale with confidence.

This module introduces the core concepts of SRE, reliability thinking, SLIs, SLOs, and error budgets. Learners will understand how reliability is defined, measured, and managed in modern systems.

Das ist alles enthalten

10 Videos4 Lektüren3 Aufgaben

10 VideosInsgesamt 54 Minuten

Course Introduction5 Minuten
What is Site Reliability Engineering?7 Minuten
SRE vs DevOps: Operational Alignment for Reliable Delivery5 Minuten
Reliability, Availability, and Resilience in Modern Systems7 Minuten
Service Level Indicators and Service Level Objectives6 Minuten
Error Budgets and Budget Policies4 Minuten
Hands-On: Defining SLIs and SLOs for a Sample Application - Sample Application Setup and Initial SLI Measurement6 Minuten
Hands-On: Defining SLIs and SLOs for a Sample Application - Defining SLOs and Improving Reliability Performance4 Minuten
Hands-On: Calculating an Error Budget from an SLO - Error Budget Calculation7 Minuten
Hands-On: Calculating an Error Budget from an SLO - Budget Usage and Release Decision5 Minuten

4 LektürenInsgesamt 40 Minuten

Course Syllabus10 Minuten
Developing a Reliability Mindset in SRE10 Minuten
Designing Service Health Metrics and Reliability Targets10 Minuten
Module Summary: Foundations of Site Reliability Engineering 10 Minuten

3 AufgabenInsgesamt 27 Minuten

Knowledge Check: Introduction to SRE and Reliability Thinking6 Minuten
Knowledge Check: Service Health Metrics and Reliability Targets 6 Minuten
Knowledge Check: Foundations of Site Reliability Engineering15 Minuten

This module focuses on monitoring service health, building dashboards, configuring meaningful alerts, managing on-call workflows, and responding to incidents through structured processes.

Das ist alles enthalten

12 Videos4 Lektüren4 Aufgaben

12 VideosInsgesamt 72 Minuten

Observability Fundamentals for Reliable Systems6 Minuten
Metrics, Logs, and Traces in SRE5 Minuten
Hands-On: Setting Up the SRE Lab Environment8 Minuten
Building Effective SRE Dashboards6 Minuten
Alerting Principles and Reducing Alert Fatigue6 Minuten
Hands-On: Installing Prometheus and Grafana - Monitoring Stack Installation5 Minuten
Hands-On: Installing Prometheus and Grafana - Prometheus and Grafana Verification4 Minuten
Hands-On: Building an SLO Dashboard in Grafana7 Minuten
Managing Incidents for Reliable Services7 Minuten
On-Call Best Practices and Escalations Workflows 7 Minuten
Hands-On: Managing On - Call Escalations with GoAlert6 Minuten
Hands-On: Writing a Blameless Incident Postmortem5 Minuten

4 LektürenInsgesamt 40 Minuten

Connecting Observability with GitOps-Based Deployment10 Minuten
Turning Monitoring Data into Reliability10 Minuten
Building Incident Readiness and Response Culture10 Minuten
Module Summary: Monitoring, Alerting, and Incident Operations10 Minuten

4 AufgabenInsgesamt 33 Minuten

Knowledge Check: Observability and GitOps Based Application Deployment6 Minuten
Knowledge Check: Dashboards, Alerts, and SLO Monitoring6 Minuten
Knowledge Check: Incident Management and On Call Practices 6 Minuten
Knowledge Check: Monitoring, Alerting, and Incident Operations 15 Minuten

This module focuses on reducing operational toil, automating SRE tasks, tracking SLOs, managing error budgets, performing GitOps-based rollback, and briefly exploring AI-assisted reliability practices.

Das ist alles enthalten

10 Videos4 Lektüren4 Aufgaben

10 VideosInsgesamt 61 Minuten

Toil Reduction Strategies and Runbook Standardization7 Minuten
Hands-On: Creating a Basic SRE Runbook4 Minuten
Hands-On: Automating SRE Tasks with Ansible Playbooks6 Minuten
Reliability Reviews and Release Decisions6 Minuten
Hands-On: Tracking SLOs and Error Budgets with Pyrra7 Minuten
Hands-On: Configuring Burn Rate Alerts7 Minuten
GitOps for Reliable Operations7 Minuten
AI for SRE: Anomaly Detection and Intelligent Response5 Minuten
Hands-On: Performing GitOps-Based Rollback with Argo CD6 Minuten
Hands-On: Detecting Metric Anomalies with Prometheus and Grafana7 Minuten

4 LektürenInsgesamt 40 Minuten

Reducing Operational Toil Through Safe Automation10 Minuten
Using SLO Data to Guide Reliability Decisions10 Minuten
Strengthening Recovery with GitOps and AI-Assisted Reliability10 Minuten
Module Summary: Automation, SLO Tracking, GitOps Recovery, and AI for SRE10 Minuten

4 AufgabenInsgesamt 33 Minuten

Knowledge Check: Toil Reduction and SRE Automation6 Minuten
Knowledge Check: SLO Tracking and Reliability Decisions6 Minuten
Knowledge Check: GitOps Recovery and AI-Enhanced SRE6 Minuten
Knowledge Check: Automation, SLO Tracking, GitOps Recovery, and AI for SRE 15 Minuten

Build practical skills in Site Reliability Engineering through reliability-focused concepts, hands-on demos, and operational workflows. Apply SLIs, SLOs, error budgets, observability, monitoring dashboards, alerting, incident response, on-call practices, toil reduction, automation, GitOps-based recovery, and AI-assisted SRE practices. Develop reliable workflows for managing service health, reducing operational effort, and improving production system resilience.

Das ist alles enthalten

1 Video1 Lektüre2 Aufgaben

Dozent

Edureka

207 Kurse188.965 Lernende

von

Edureka

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Lernender seit 2020

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Lernender seit 2021

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Häufig gestellte Fragen

Site Reliability Engineering, or SRE, is an engineering approach to operating reliable systems at scale. It combines software engineering, automation, monitoring, incident response, and reliability measurement to keep services stable and resilient.

DevOps focuses on collaboration, automation, and faster software delivery, while SRE applies engineering practices to reliability, operations, incident response, and service health. In this course, SRE and DevOps are presented as complementary practices that support reliable software delivery.

SLIs are metrics that measure service reliability, such as latency, availability, error rate, and request success rate. SLOs define the reliability targets a service should meet. Error budgets show how much unreliability is acceptable before teams need to slow releases or focus on reliability improvements.

Yes. The course includes hands-on demonstrations on defining SLIs and SLOs, calculating error budgets, setting up an SRE lab environment, deploying applications with Argo CD, installing Prometheus and Grafana, building SLO dashboards, managing on-call escalations, writing postmortems, creating runbooks, automating tasks with Ansible, tracking SLOs with Pyrra, configuring burn rate alerts, and performing GitOps-based rollback.

To access the course materials, assignments and to earn a Certificate, you will need to purchase the Certificate experience when you enroll in a course. You can try a Free Trial instead, or apply for Financial Aid. The course may offer 'Full Course, No Certificate' instead. This option lets you see all course materials, submit required assessments, and get a final grade. This also means that you will not be able to purchase a Certificate experience.

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¹ Einige Aufgaben in diesem Kurs werden mit AI bewertet. Für diese Aufgaben werden Ihre Daten in Übereinstimmung mit Datenschutzhinweis von Courseraverwendet.