Master DevOps Monitoring with Prometheus

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Brendon Palmer

9:59:31

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1 - Course Introduction and the Status of Prometheus

1 - Introduction.mp4

01:53

1 - docker-compose.yml.zip

2 - Why learn Prometheus.mp4

02:41

3 - Prometheus Origins.mp4

02:38

2 - Setting up our Test Workspace

4 - Setup Synopsis.mp4

03:17

5 - Setting up Virtual Box and Ubuntu.mp4

09:31

5 - vbox-windows.txt

6 - Setting up Visual Studio Code.mp4

05:51

7 - Installing the Docker Engine.mp4

03:20

3 - Principles in Monitoring and How Prometheus Works

8 - Section Overview.mp4

01:53

9 - The DevOps Lifecycle and Stages of Monitoring.mp4

04:19

10 - Anti Patterns updated.mp4

04:47

11 - Design Patterns.mp4

03:39

12 - The relation between Logs and Metrics.mp4

02:15

13 - Push vs Pull.mp4

03:57

14 - Breaking down the Data Shard Anatomy.mp4

02:13

15 - A closer look at the Prometheus Server Architecture.mp4

05:50

15 - prometheus-architec-ture.zip

4 - Installing and Setting up the Prometheus Server

16 - Section Overview.mp4

01:15

17 - Running Prometheus in the Terminal.mp4

11:18

18 - Overview of the Prometheus service package.mp4

06:42

19 - Running the Node Exporter.mp4

07:25

20 - The Prometheus Metrics Format.mp4

07:28

21 - Installing Prometheus as a Systemd Service.mp4

11:10

22 - Installing the Node Exporter as a Systemd Service.mp4

05:49

23 - Installing Prometheus as a Docker Service.mp4

21:31

5 - App Instrumentation and Metric Guidelines

24 - Section Overview.mp4

00:59

25 - Generating Metrics.mp4

11:40

26 - The Counter.mp4

04:15

27 - The 4 Metric Types.mp4

11:42

27 - The 4 Metric Types EV.mp4

11:42

28 - Approaching Instrumentation.mp4

03:22

29 - Metric Naming Structure.mp4

02:59

30 - Limitations to Monitoring Metrics.mp4

02:48

31 - Adding Instrumentation to a Docker WebApp.mp4

18:41

31 - curler.txt

6 - Infrastructure Monitoring

32 - Section Overview.mp4

01:34

33 - The Node Exporter in Detail I.mp4

09:08

34 - The Node Exporter in Detail II.mp4

07:08

35 - The WMI Exporter Monitoring Windows Systems.mp4

10:23

36 - Docker Engine Metrics.mp4

07:34

37 - cAdvisor Metrics.mp4

12:33

38 - The Blackbox Exporter I.mp4

17:35

39 - The Blackbox Exporter II.mp4

17:55

40 - The MySQL Exporter.mp4

10:06

41 - A Github Exporter.mp4

09:38

42 - The Jira Server Plugin.mp4

17:22

7 - Pushing Metrics to Prometheus

43 - Section Overview.mp4

00:56

44 - The Push Gateway.mp4

11:41

45 - The Textfile Collector.mp4

10:28

8 - Service Discovery Techniques

46 - Section Overview.mp4

00:55

47 - Defining and Categorizing Service Discovery.mp4

09:05

48 - Using File Service Discovery with Ansible.mp4

08:10

48 - lesson-48.zip

49 - AWS EC2.mp4

07:09

9 - Labelling

50 - Section Overview.mp4

01:27

51 - Targeting Source Labels.mp4

04:56

52 - Relabelling.mp4

07:44

53 - External Labels.mp4

01:50

54 - Revisiting Blackbox Exporter Label Configs.mp4

06:34

55 - Metrics Relabelling.mp4

03:50

56 - Bonus Adding Labels to our WebApp.mp4

04:50

10 - PromQL The Prometheus Query Language

57 - Section Overview.mp4

01:39

58 - Aggregation and Matchers.mp4

04:36

59 - The Prometheus API.mp4

05:34

60 - The Without and By Groupers.mp4

08:07

61 - Sum Count and Durations.mp4

04:07

62 - Min and Max.mp4

03:39

63 - Binary Operators.mp4

04:28

64 - The Ignoring and On Clauses.mp4

08:39

65 - OR UNLESS and AND.mp4

04:32

66 - PromQL Functions.mp4

03:05

67 - Rate Irate Avg and Avgovertime.mp4

09:35

68 - Deriv and Predictlinear.mp4

02:36

11 - Recording Rules

69 - Setting Recording Rules.mp4

06:41

70 - Overview of Recording Rules Usage.mp4

02:47

12 - Alerting and Alert Receivers

71 - Section Overview.mp4

01:11

72 - Setting Alerts.mp4

08:34

73 - Labelling Alerts.mp4

04:59

74 - Alert Annotations.mp4

05:08

75 - Installing the Prometheus AlertManager.mp4

04:40

76 - Building a Routing Tree.mp4

10:06

76 - lesson76.zip

77 - Alert Grouping Throttling and Repetition.mp4

03:30

78 - Alert Inhibitions and Silencing.mp4

06:44

13 - Alert Receivers

79 - Gmail.mp4

12:25

80 - Slack I.mp4

06:50

81 - Slack II.mp4

17:08

82 - PagerDuty.mp4

12:53

14 - Metrics Visualization with Grafana

83 - Section Overview.mp4

00:42

84 - Installing Grafana.mp4

06:10

85 - Adding a Dashboard Data Source.mp4

01:43

86 - Sourcing Community Dashboards and Provisioning.mp4

08:30

86 - lesson86.zip

87 - Scraping the Grafana Server.mp4

02:36

88 - Creating a Custom Dashboard.mp4

16:16

Description

Complete Prometheus Monitoring guide. Master monitoring theory, instrumentation, metrics exporters, alerting and more

What You'll Learn?

Gain insight on Theoretical Principles in Monitoring.
Learn how to install and configure a Prometheus Server.
Instrument web applications to expose Prometheus metrics.
Monitor a wide range of Hosts, Applications, and Services with Exporters
Push metrics to a pull-based monitoring solution
Learn to implement several Service Discovery solutions within your environment
Understand and construct complex queries with PromQL
Issue complex alerts to multiple end-points like Slack and PagerDuty.
Supplement your time-series metrics with fancy Dashboards.

Who is this for?

Anyone who wants to gain insight into system performances and trends.

DevOps Engineers who wish to stay ahead of the curb with a well-supported monitoring solution.

What You Need to Know?

A Linux Virtual Machine with at least 1 CPU core and 2GB of RAM.

A workstation to follow along with installations and configurations.

A basic understanding of Linux OS (SSH, navigating through a terminal, etc.).

An intermediate level understanding of Docker and Docker Compose.

A basic understanding of networking concepts (IPs, ports, etc.).

More details

Description
The Complete Guide to Mastering DevOps Monitoring with Prometheus.

Unfortunately, monitoring is often overlooked in the DevOps Lifecycle. Attaining thorough time-series data from your environment to source crucial system trend information and construct desirable analytics to further development is essential to each and every organization. You also need a solution that is built from the ground up to assess dynamic environments.

As the 2nd graduated project by the CNCF after Kubernetes, Prometheus is a simple open-source solution that your organization needs. Prometheus has been widely adopted by many large companies such as Uber, SoundCloud, Docker, and Digital Ocean for its unique ability to monitor dynamic and evolving environments.

This is THE course when it comes to learning monitoring with Prometheus on Udemy. Get started with a 10 hour hands-on project where you will gain the experience that you need to adopt Prometheus within your own environment. We will cover:
Theoretical monitoring principles
Installation methods
Alert and metrics dashboards
You will also learn:
App Instrumentation
Scraping metrics from numerous exporters
The Push Gateway
Service Discovery methods
Environment Labelling
Recording Rules
The unique PromQL

This course is constantly being revised with feedback from students like you. Engage the instructor with any concerns as you embark on your journey to becoming the next PromQL Guru!
Let's get started!
Who this course is for:
Anyone who wants to gain insight into system performances and trends.
DevOps Engineers who wish to stay ahead of the curb with a well-supported monitoring solution.

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Brendon Palmer is a Solutions Architect and DevOps Consultant with a particular interest in AWS resource management and automation. With his passion for DevOps rooted in continuous learning, he holds more than 17 industry-level certifications and also welcomes newcomers to the industry with mentorship and teaching.As the founder of OpsisLabs, he guides startups towards achieving compliance standards (SOC 2, HIPAA) and getting the most our of their AWS operations.

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