{"id":75249,"date":"2026-04-28T04:21:13","date_gmt":"2026-04-28T04:21:13","guid":{"rendered":"https:\/\/www.devopsschool.com\/blog\/?p=75249"},"modified":"2026-04-28T04:21:13","modified_gmt":"2026-04-28T04:21:13","slug":"create-graphite-dashboards-and-alerts-in-grafana-13-using-telegraf-linux-metrics","status":"publish","type":"post","link":"https:\/\/www.devopsschool.com\/blog\/create-graphite-dashboards-and-alerts-in-grafana-13-using-telegraf-linux-metrics\/","title":{"rendered":"Create Graphite Dashboards and Alerts in Grafana 13 using Telegraf Linux Metrics"},"content":{"rendered":"\n

Lab Goal<\/h2>\n\n\n\n

In this lab, students will learn how to use Grafana 13<\/strong> with Graphite<\/strong> as a data source and create a Linux monitoring dashboard using metrics collected by Telegraf<\/strong>.<\/p>\n\n\n\n

This lab is based only on the real metrics already stored in your Graphite server. Your uploaded output confirms that the valid metric prefix is:<\/p>\n\n\n

telegraf<\/span>.linux-demo<\/span>.*\n<\/code><\/span>Code language:<\/span> CSS<\/span> (<\/span>css<\/span>)<\/span><\/small><\/pre>\n\n\n
It also confirms that servers.*<\/code> returns empty, so this lab will not<\/strong> use servers.*<\/code>.<\/p>\n\n\n\n
Grafana includes built-in support for Graphite, and the Graphite query editor helps users browse metric paths and build Graphite queries inside Grafana. (Grafana Labs<\/a>)<\/p>\n\n\n\n
\n\n\n\n
Part 1: Lab Environment<\/h1>\n\n\n\n
Existing Setup<\/h2>\n\n\n\n
You already have:<\/p>\n\n\n
Grafana UI:\nhttp:\/\/32.192.207.253:3000<\/span>\n\nGraphite Web UI:\nhttp:\/\/<server-ip>:8080<\/span>\n\nDocker containers:\ngraphite\ntelegraf\n<\/code><\/span>Code language:<\/span> JavaScript<\/span> (<\/span>javascript<\/span>)<\/span><\/small><\/pre>\n\n\n
Your Docker output shows:<\/p>\n\n\n
graphiteapp\/graphite-statsd:latest\ntelegraf:latest\n<\/code><\/span><\/pre>\n\n\n
Graphite is exposed as:<\/p>\n\n\n
Host port 8080 -> Graphite Web UI\nHost port 2003 -> Carbon plaintext metric receiver\nHost port 2004 -> Carbon pickle receiver\n<\/code><\/span><\/pre>\n\n\n
\n\n\n\n
Part 2: Important Rule for This Lab<\/h1>\n\n\n\n
Students must understand one important thing:<\/p>\n\n\n
Graphite<\/span> stores<\/span> metrics<\/span> as<\/span> .wsp<\/span> files<\/span> on<\/span> disk<\/span>,\nbut<\/span> Grafana<\/span> queries<\/span> should<\/span> not<\/span> include<\/span> .wsp<\/span>.\n<\/code><\/span>Code language:<\/span> CSS<\/span> (<\/span>css<\/span>)<\/span><\/small><\/pre>\n\n\n
For example, the file exists as:<\/p>\n\n\n
\/opt\/graphite\/storage\/whisper\/telegraf\/linux-demo\/cpu\/usage_active.wsp\n<\/code><\/span><\/pre>\n\n\n
But in Grafana, the query should be:<\/p>\n\n\n
telegraf<\/span>.linux-demo<\/span>.cpu<\/span>.usage_active<\/span>\n<\/code><\/span>Code language:<\/span> CSS<\/span> (<\/span>css<\/span>)<\/span><\/small><\/pre>\n\n\n
Not:<\/p>\n\n\n
telegraf<\/span>.linux-demo<\/span>.cpu<\/span>.usage_active<\/span>.wsp<\/span>\n<\/code><\/span>Code language:<\/span> CSS<\/span> (<\/span>css<\/span>)<\/span><\/small><\/pre>\n\n\n
\n\n\n\n
Part 3: Verify Graphite and Telegraf Containers<\/h1>\n\n\n\n
Ask students to log in to the Linux server and run:<\/p>\n\n\n
docker ps\n<\/code><\/span><\/pre>\n\n\n
Expected result should show containers similar to:<\/p>\n\n\n
graphite\ntelegraf\n<\/code><\/span><\/pre>\n\n\n
Example:<\/p>\n\n\n
graphiteapp\/graphite-statsd:latest\ntelegraf:latest\n<\/code><\/span><\/pre>\n\n\n
Explain to students:<\/p>\n\n\n
Graphite is storing and serving metrics.\nTelegraf is collecting Linux system metrics and sending them to Graphite.\nGrafana will read metrics from<\/span> Graphite and display dashboards.\n<\/code><\/span>Code language:<\/span> JavaScript<\/span> (<\/span>javascript<\/span>)<\/span><\/small><\/pre>\n\n\n
\n\n\n\n
Part 4: Verify Metrics Stored in Graphite<\/h1>\n\n\n\n
Run this command:<\/p>\n\n\n
curl \"http:\/\/localhost:8080\/metrics\/find?query=*\"<\/span>\n<\/code><\/span>Code language:<\/span> JavaScript<\/span> (<\/span>javascript<\/span>)<\/span><\/small><\/pre>\n\n\n
Expected output should include:<\/p>\n\n\n
carbon\ndummy\nstats\nstats_counts\nstatsd\ntelegraf\n<\/code><\/span><\/pre>\n\n\n
Now check the Telegraf metric tree:<\/p>\n\n\n
curl \"http:\/\/localhost:8080\/metrics\/find?query=telegraf.*\"<\/span>\n<\/code><\/span>Code language:<\/span> JavaScript<\/span> (<\/span>javascript<\/span>)<\/span><\/small><\/pre>\n\n\n
Expected output should include:<\/p>\n\n\n
linux-demo\n<\/code><\/span><\/pre>\n\n\n
Now check the metric groups under linux-demo<\/code>:<\/p>\n\n\n
curl \"http:\/\/localhost:8080\/metrics\/find?query=telegraf.linux-demo.*\"<\/span>\n<\/code><\/span>Code language:<\/span> JavaScript<\/span> (<\/span>javascript<\/span>)<\/span><\/small><\/pre>\n\n\n
Expected metric groups:<\/p>\n\n\n
cpu\nmem\ndisk\ndiskio\nkernel\nnet\nprocesses\nswap\nsystem\n<\/code><\/span><\/pre>\n\n\n
\n\n\n\n
Part 5: Correct Command to List Real Graphite Metrics<\/h1>\n\n\n\n
Use this command to list all stored Telegraf metrics from Whisper storage:<\/p>\n\n\n
docker exec graphite find \/opt\/graphite\/storage\/whisper\/telegraf -type f\n<\/code><\/span><\/pre>\n\n\n
To convert file paths into Graphite query names, use:<\/p>\n\n\n
docker exec graphite find \/opt\/graphite\/storage\/whisper\/telegraf -type f \\\n| sed 's#\/opt\/graphite\/storage\/whisper\/##; s#\/#.#g; s#\\.wsp$##'<\/span> \\\n| sort\n<\/code><\/span>Code language:<\/span> JavaScript<\/span> (<\/span>javascript<\/span>)<\/span><\/small><\/pre>\n\n\n
If students still see .wsp<\/code> at the end, use this safer command:<\/p>\n\n\n
docker exec graphite find \/opt\/graphite\/storage\/whisper\/telegraf -type f \\\n| tr -d '\\r'<\/span> \\\n| sed 's#\/opt\/graphite\/storage\/whisper\/##; s#\/#.#g; s#\\.wsp$##'<\/span> \\\n| sort\n<\/code><\/span>Code language:<\/span> JavaScript<\/span> (<\/span>javascript<\/span>)<\/span><\/small><\/pre>\n\n\n
Explain:<\/p>\n\n\n
The<\/span> .wsp<\/span> file<\/span> is<\/span> the<\/span> physical<\/span> Whisper<\/span> database<\/span> file<\/span>.\nGrafana<\/span> query<\/span> uses<\/span> the<\/span> logical<\/span> metric<\/span> path<\/span> without<\/span> .wsp<\/span>.\n<\/code><\/span>Code language:<\/span> CSS<\/span> (<\/span>css<\/span>)<\/span><\/small><\/pre>\n\n\n
\n\n\n\n
Part 6: Add Graphite Data Source in Grafana 13<\/h1>\n\n\n\n
Step 1: Open Grafana<\/h2>\n\n\n\n
Open:<\/p>\n\n\n
http:\/\/32.192.207.253:3000<\/span>\n<\/code><\/span>Code language:<\/span> JavaScript<\/span> (<\/span>javascript<\/span>)<\/span><\/small><\/pre>\n\n\n
Login to Grafana.<\/p>\n\n\n\n
\n\n\n\n
Step 2: Go to Data Sources<\/h2>\n\n\n\n
From the left menu:<\/p>\n\n\n
Connections \u2192 Data sources\n<\/code><\/span><\/pre>\n\n\n
Or:<\/p>\n\n\n
Connections \u2192 Add new<\/span> connection\n<\/code><\/span>Code language:<\/span> JavaScript<\/span> (<\/span>javascript<\/span>)<\/span><\/small><\/pre>\n\n\n
Grafana documentation also describes adding Graphite from the left-side Connections<\/strong> menu. (Grafana Labs<\/a>)<\/p>\n\n\n\n
\n\n\n\n
Step 3: Select Graphite<\/h2>\n\n\n\n
Search for:<\/p>\n\n\n
Graphite\n<\/code><\/span><\/pre>\n\n\n
Click:<\/p>\n\n\n
Add new<\/span> data source\n<\/code><\/span>Code language:<\/span> JavaScript<\/span> (<\/span>javascript<\/span>)<\/span><\/small><\/pre>\n\n\n
\n\n\n\n
Step 4: Configure Graphite URL<\/h2>\n\n\n\n
Use this if Grafana is running on the same Linux VM where Docker Graphite is exposed:<\/p>\n\n\n
http:\/\/localhost:8080<\/span>\n<\/code><\/span>Code language:<\/span> JavaScript<\/span> (<\/span>javascript<\/span>)<\/span><\/small><\/pre>\n\n\n
If that does not work, use the server IP:<\/p>\n\n\n
http:\/\/<server-public-ip<\/span>><\/span>:8080\n<\/code><\/span>Code language:<\/span> HTML, XML<\/span> (<\/span>xml<\/span>)<\/span><\/small><\/pre>\n\n\n
Example:<\/p>\n\n\n
http:\/\/32.192.207.253:8080<\/span>\n<\/code><\/span>Code language:<\/span> JavaScript<\/span> (<\/span>javascript<\/span>)<\/span><\/small><\/pre>\n\n\n
Use:<\/p>\n\n\n
Access: Server \/ Proxy<\/span>\n<\/code><\/span>Code language:<\/span> JavaScript<\/span> (<\/span>javascript<\/span>)<\/span><\/small><\/pre>\n\n\n
\n\n\n\n
Step 5: Save and Test<\/h2>\n\n\n\n
Click:<\/p>\n\n\n
Save & test\n<\/code><\/span><\/pre>\n\n\n
Expected result:<\/p>\n\n\n
Data source is working\n<\/code><\/span><\/pre>\n\n\n
If it fails, check:<\/p>\n\n\n
docker ps\n<\/code><\/span><\/pre>\n\n\n
Then confirm Graphite is reachable:<\/p>\n\n\n
curl \"http:\/\/localhost:8080\/metrics\/find?query=telegraf.*\"<\/span>\n<\/code><\/span>Code language:<\/span> JavaScript<\/span> (<\/span>javascript<\/span>)<\/span><\/small><\/pre>\n\n\n
\n\n\n\n
Part 7: Explore Metrics in Grafana<\/h1>\n\n\n\n
Before creating dashboards, students should explore metrics.<\/p>\n\n\n\n
From the left menu:<\/p>\n\n\n
Explore\n<\/code><\/span><\/pre>\n\n\n
Select the Graphite data source.<\/p>\n\n\n\n
Try this query:<\/p>\n\n\n
telegraf<\/span>.linux-demo<\/span>.cpu<\/span>.usage_active<\/span>\n<\/code><\/span>Code language:<\/span> CSS<\/span> (<\/span>css<\/span>)<\/span><\/small><\/pre>\n\n\n
Click:<\/p>\n\n\n
Run query\n<\/code><\/span><\/pre>\n\n\n
Students should see a CPU usage graph.<\/p>\n\n\n\n
Now try:<\/p>\n\n\n
telegraf<\/span>.linux-demo<\/span>.mem<\/span>.used_percent<\/span>\n<\/code><\/span>Code language:<\/span> CSS<\/span> (<\/span>css<\/span>)<\/span><\/small><\/pre>\n\n\n
Then:<\/p>\n\n\n
telegraf<\/span>.linux-demo<\/span>.disk<\/span>.used_percent<\/span>\n<\/code><\/span>Code language:<\/span> CSS<\/span> (<\/span>css<\/span>)<\/span><\/small><\/pre>\n\n\n
Explain:<\/p>\n\n\n
Explore is used for testing queries before adding them to dashboards.\nDashboard panels are created after we know the query is working.\n<\/code><\/span><\/pre>\n\n\n
\n\n\n\n
Part 8: Create Dashboard<\/h1>\n\n\n\n
From the left menu:<\/p>\n\n\n
Dashboards\n<\/code><\/span><\/pre>\n\n\n
Click:<\/p>\n\n\n
New<\/span>\n<\/code><\/span>Code language:<\/span> PHP<\/span> (<\/span>php<\/span>)<\/span><\/small><\/pre>\n\n\n
Then:<\/p>\n\n\n
New<\/span> dashboard\n<\/code><\/span>Code language:<\/span> PHP<\/span> (<\/span>php<\/span>)<\/span><\/small><\/pre>\n\n\n
Click:<\/p>\n\n\n
Add visualization\n<\/code><\/span><\/pre>\n\n\n
Select:<\/p>\n\n\n
Graphite\n<\/code><\/span><\/pre>\n\n\n
Dashboard name:<\/p>\n\n\n
Linux Server Monitoring - Graphite Telegraf\n<\/code><\/span><\/pre>\n\n\n
\n\n\n\n
Part 9: Dashboard Layout<\/h1>\n\n\n\n
Create these dashboard rows:<\/p>\n\n\n
1. System Overview\n2. CPU Monitoring\n3. Memory Monitoring\n4. Disk Monitoring\n5. Disk I\/O Monitoring\n6. Network Monitoring\n7. Swap Monitoring\n8. Process Monitoring\n9. Kernel Monitoring\n<\/code><\/span><\/pre>\n\n\n
\n\n\n\n
Part 10: System Overview Panels<\/h1>\n\n\n\n
Panel 1: CPU Active Usage<\/h2>\n\n\n\n
Panel title:<\/p>\n\n\n
CPU Active Usage %\n<\/code><\/span><\/pre>\n\n\n
Query:<\/p>\n\n\n
telegraf<\/span>.linux-demo<\/span>.cpu<\/span>.usage_active<\/span>\n<\/code><\/span>Code language:<\/span> CSS<\/span> (<\/span>css<\/span>)<\/span><\/small><\/pre>\n\n\n
Visualization:<\/p>\n\n\n
Stat\n<\/code><\/span><\/pre>\n\n\n
Unit:<\/p>\n\n\n
Percent (0-100)\n<\/code><\/span><\/pre>\n\n\n
Thresholds:<\/p>\n\n\n
Green<\/span>: 0\nYellow<\/span>: 70\nRed<\/span>: 90\n<\/code><\/span>Code language:<\/span> HTTP<\/span> (<\/span>http<\/span>)<\/span><\/small><\/pre>\n\n\n
Explanation for students:<\/p>\n\n\n
This shows how much CPU is actively being used.\n<\/code><\/span><\/pre>\n\n\n
\n\n\n\n
Panel 2: Memory Used %<\/h2>\n\n\n\n
Panel title:<\/p>\n\n\n
Memory Used %\n<\/code><\/span><\/pre>\n\n\n
Query:<\/p>\n\n\n
telegraf<\/span>.linux-demo<\/span>.mem<\/span>.used_percent<\/span>\n<\/code><\/span>Code language:<\/span> CSS<\/span> (<\/span>css<\/span>)<\/span><\/small><\/pre>\n\n\n
Visualization:<\/p>\n\n\n
Stat\n<\/code><\/span><\/pre>\n\n\n
Unit:<\/p>\n\n\n
Percent (0-100)\n<\/code><\/span><\/pre>\n\n\n
Thresholds:<\/p>\n\n\n
Green<\/span>: 0\nYellow<\/span>: 70\nRed<\/span>: 90\n<\/code><\/span>Code language:<\/span> HTTP<\/span> (<\/span>http<\/span>)<\/span><\/small><\/pre>\n\n\n
\n\n\n\n
Panel 3: Disk Used %<\/h2>\n\n\n\n
Panel title:<\/p>\n\n\n
Disk Used %\n<\/code><\/span><\/pre>\n\n\n
Query:<\/p>\n\n\n
telegraf<\/span>.linux-demo<\/span>.disk<\/span>.used_percent<\/span>\n<\/code><\/span>Code language:<\/span> CSS<\/span> (<\/span>css<\/span>)<\/span><\/small><\/pre>\n\n\n
Visualization:<\/p>\n\n\n
Stat\n<\/code><\/span><\/pre>\n\n\n
Unit:<\/p>\n\n\n
Percent (0-100)\n<\/code><\/span><\/pre>\n\n\n
Thresholds:<\/p>\n\n\n
Green<\/span>: 0\nYellow<\/span>: 75\nRed<\/span>: 90\n<\/code><\/span>Code language:<\/span> HTTP<\/span> (<\/span>http<\/span>)<\/span><\/small><\/pre>\n\n\n
\n\n\n\n
Panel 4: System Load 1 Minute<\/h2>\n\n\n\n
Panel title:<\/p>\n\n\n
System Load 1 Minute\n<\/code><\/span><\/pre>\n\n\n
Query:<\/p>\n\n\n
telegraf<\/span>.linux-demo<\/span>.system<\/span>.load1<\/span>\n<\/code><\/span>Code language:<\/span> CSS<\/span> (<\/span>css<\/span>)<\/span><\/small><\/pre>\n\n\n
Visualization:<\/p>\n\n\n
Stat\n<\/code><\/span><\/pre>\n\n\n
Unit:<\/p>\n\n\n
None\n<\/code><\/span><\/pre>\n\n\n
Explanation:<\/p>\n\n\n
Load average shows how busy the system is.\nA load close to or higher than the number of CPUs may indicate pressure.\n<\/code><\/span><\/pre>\n\n\n
\n\n\n\n
Panel 5: System Uptime<\/h2>\n\n\n\n
Panel title:<\/p>\n\n\n
System Uptime\n<\/code><\/span><\/pre>\n\n\n
Query:<\/p>\n\n\n
telegraf<\/span>.linux-demo<\/span>.system<\/span>.uptime<\/span>\n<\/code><\/span>Code language:<\/span> CSS<\/span> (<\/span>css<\/span>)<\/span><\/small><\/pre>\n\n\n
Visualization:<\/p>\n\n\n
Stat\n<\/code><\/span><\/pre>\n\n\n
Unit:<\/p>\n\n\n
Seconds\n<\/code><\/span><\/pre>\n\n\n
Explanation:<\/p>\n\n\n
Uptime shows how long the Linux system has been running.\n<\/code><\/span><\/pre>\n\n\n
\n\n\n\n
Part 11: CPU Monitoring Row<\/h1>\n\n\n\n
Panel: CPU Usage Breakdown<\/h2>\n\n\n\n
Panel title:<\/p>\n\n\n
CPU Usage Breakdown\n<\/code><\/span><\/pre>\n\n\n
Visualization:<\/p>\n\n\n
Time series\n<\/code><\/span><\/pre>\n\n\n
Queries:<\/p>\n\n\n
alias(telegraf.linux-demo.cpu.usage_user, 'User CPU %'<\/span>)\nalias(telegraf.linux-demo.cpu.usage_system, 'System CPU %'<\/span>)\nalias(telegraf.linux-demo.cpu.usage_iowait, 'IO Wait CPU %'<\/span>)\nalias(telegraf.linux-demo.cpu.usage_idle, 'Idle CPU %'<\/span>)\n<\/code><\/span>Code language:<\/span> JavaScript<\/span> (<\/span>javascript<\/span>)<\/span><\/small><\/pre>\n\n\n
Unit:<\/p>\n\n\n
Percent (0-100)\n<\/code><\/span><\/pre>\n\n\n
Explanation:<\/p>\n\n\n
User CPU means application workload.\nSystem CPU means kernel workload.\nIO wait means CPU is waiting for disk or I\/O.\nIdle means CPU is free.\n<\/code><\/span><\/pre>\n\n\n
\n\n\n\n
Panel: CPU Active Usage Trend<\/h2>\n\n\n\n
Panel title:<\/p>\n\n\n
CPU Active Usage Trend\n<\/code><\/span><\/pre>\n\n\n
Query:<\/p>\n\n\n
telegraf<\/span>.linux-demo<\/span>.cpu<\/span>.usage_active<\/span>\n<\/code><\/span>Code language:<\/span> CSS<\/span> (<\/span>css<\/span>)<\/span><\/small><\/pre>\n\n\n
Visualization:<\/p>\n\n\n
Time series\n<\/code><\/span><\/pre>\n\n\n
Unit:<\/p>\n\n\n
Percent (0-100)\n<\/code><\/span><\/pre>\n\n\n
\n\n\n\n
Part 12: Memory Monitoring Row<\/h1>\n\n\n\n
Panel: Memory Used and Available %<\/h2>\n\n\n\n
Panel title:<\/p>\n\n\n
Memory Usage %\n<\/code><\/span><\/pre>\n\n\n
Queries:<\/p>\n\n\n
alias(telegraf.linux-demo.mem.used_percent, 'Used Memory %'<\/span>)\nalias(telegraf.linux-demo.mem.available_percent, 'Available Memory %'<\/span>)\n<\/code><\/span>Code language:<\/span> JavaScript<\/span> (<\/span>javascript<\/span>)<\/span><\/small><\/pre>\n\n\n
Visualization:<\/p>\n\n\n
Time series\n<\/code><\/span><\/pre>\n\n\n
Unit:<\/p>\n\n\n
Percent (0-100)\n<\/code><\/span><\/pre>\n\n\n
\n\n\n\n
Panel: Memory Used and Free<\/h2>\n\n\n\n
Panel title:<\/p>\n\n\n
Memory Used and Free\n<\/code><\/span><\/pre>\n\n\n
Queries:<\/p>\n\n\n
alias(telegraf.linux-demo.mem.used, 'Used Memory'<\/span>)\nalias(telegraf.linux-demo.mem.free, 'Free Memory'<\/span>)\nalias(telegraf.linux-demo.mem.available, 'Available Memory'<\/span>)\n<\/code><\/span>Code language:<\/span> JavaScript<\/span> (<\/span>javascript<\/span>)<\/span><\/small><\/pre>\n\n\n
Visualization:<\/p>\n\n\n
Time series\n<\/code><\/span><\/pre>\n\n\n
Unit:<\/p>\n\n\n
Bytes\n<\/code><\/span><\/pre>\n\n\n
\n\n\n\n
Panel: Memory Cache and Buffer<\/h2>\n\n\n\n
Panel title:<\/p>\n\n\n
Memory Cache and Buffer\n<\/code><\/span><\/pre>\n\n\n
Queries:<\/p>\n\n\n
alias(telegraf.linux-demo.mem.cached, 'Cached Memory'<\/span>)\nalias(telegraf.linux-demo.mem.buffered, 'Buffered Memory'<\/span>)\n<\/code><\/span>Code language:<\/span> JavaScript<\/span> (<\/span>javascript<\/span>)<\/span><\/small><\/pre>\n\n\n
Visualization:<\/p>\n\n\n
Time series\n<\/code><\/span><\/pre>\n\n\n
Unit:<\/p>\n\n\n
Bytes\n<\/code><\/span><\/pre>\n\n\n
\n\n\n\n
Part 13: Disk Monitoring Row<\/h1>\n\n\n\n
Panel: Disk Used %<\/h2>\n\n\n\n
Panel title:<\/p>\n\n\n
Disk Used %\n<\/code><\/span><\/pre>\n\n\n
Query:<\/p>\n\n\n
telegraf<\/span>.linux-demo<\/span>.disk<\/span>.used_percent<\/span>\n<\/code><\/span>Code language:<\/span> CSS<\/span> (<\/span>css<\/span>)<\/span><\/small><\/pre>\n\n\n
Visualization:<\/p>\n\n\n
Gauge\n<\/code><\/span><\/pre>\n\n\n
Unit:<\/p>\n\n\n
Percent (0-100)\n<\/code><\/span><\/pre>\n\n\n
Thresholds:<\/p>\n\n\n
Green<\/span>: 0\nYellow<\/span>: 75\nRed<\/span>: 90\n<\/code><\/span>Code language:<\/span> HTTP<\/span> (<\/span>http<\/span>)<\/span><\/small><\/pre>\n\n\n
\n\n\n\n
Panel: Disk Used and Free<\/h2>\n\n\n\n
Panel title:<\/p>\n\n\n
Disk Used and Free\n<\/code><\/span><\/pre>\n\n\n
Queries:<\/p>\n\n\n
alias(telegraf.linux-demo.disk.used, 'Disk Used'<\/span>)\nalias(telegraf.linux-demo.disk.free, 'Disk Free'<\/span>)\nalias(telegraf.linux-demo.disk.total, 'Disk Total'<\/span>)\n<\/code><\/span>Code language:<\/span> JavaScript<\/span> (<\/span>javascript<\/span>)<\/span><\/small><\/pre>\n\n\n
Visualization:<\/p>\n\n\n
Time series\n<\/code><\/span><\/pre>\n\n\n
Unit:<\/p>\n\n\n
Bytes\n<\/code><\/span><\/pre>\n\n\n
\n\n\n\n
Panel: Disk Inode Usage<\/h2>\n\n\n\n
Panel title:<\/p>\n\n\n
Disk Inode Usage %\n<\/code><\/span><\/pre>\n\n\n
Query:<\/p>\n\n\n
telegraf<\/span>.linux-demo<\/span>.disk<\/span>.inodes_used_percent<\/span>\n<\/code><\/span>Code language:<\/span> CSS<\/span> (<\/span>css<\/span>)<\/span><\/small><\/pre>\n\n\n
Visualization:<\/p>\n\n\n
Gauge\n<\/code><\/span><\/pre>\n\n\n
Unit:<\/p>\n\n\n
Percent (0-100)\n<\/code><\/span><\/pre>\n\n\n
Explanation:<\/p>\n\n\n
Inodes are file metadata records.\nA disk can fail to create new<\/span> files if<\/span> inodes are full, even when disk space is available.\n<\/code><\/span>Code language:<\/span> JavaScript<\/span> (<\/span>javascript<\/span>)<\/span><\/small><\/pre>\n\n\n
\n\n\n\n
Part 14: Disk I\/O Monitoring Row<\/h1>\n\n\n\n
Panel: Disk I\/O Utilization<\/h2>\n\n\n\n
Panel title:<\/p>\n\n\n
Disk I\/O Utilization\n<\/code><\/span><\/pre>\n\n\n
Query:<\/p>\n\n\n
telegraf<\/span>.linux-demo<\/span>.diskio<\/span>.io_util<\/span>\n<\/code><\/span>Code language:<\/span> CSS<\/span> (<\/span>css<\/span>)<\/span><\/small><\/pre>\n\n\n
Visualization:<\/p>\n\n\n
Time series\n<\/code><\/span><\/pre>\n\n\n
Unit:<\/p>\n\n\n
Percent (0-100)\n<\/code><\/span><\/pre>\n\n\n
\n\n\n\n
Panel: Disk Read and Write Bytes per Second<\/h2>\n\n\n\n
Panel title:<\/p>\n\n\n
Disk Read\/Write Bytes per Second\n<\/code><\/span><\/pre>\n\n\n
Queries:<\/p>\n\n\n
alias(perSecond(telegraf.linux-demo.diskio.read_bytes), 'Read Bytes\/sec'<\/span>)\nalias(perSecond(telegraf.linux-demo.diskio.write_bytes), 'Write Bytes\/sec'<\/span>)\n<\/code><\/span>Code language:<\/span> JavaScript<\/span> (<\/span>javascript<\/span>)<\/span><\/small><\/pre>\n\n\n
Visualization:<\/p>\n\n\n
Time series\n<\/code><\/span><\/pre>\n\n\n
Unit:<\/p>\n\n\n
Bytes\/sec\n<\/code><\/span><\/pre>\n\n\n
Explanation:<\/p>\n\n\n
read_bytes and write_bytes are counters.\nperSecond() converts them into a rate, which is easier to understand.\n<\/code><\/span><\/pre>\n\n\n
\n\n\n\n
Panel: Disk Reads and Writes per Second<\/h2>\n\n\n\n
Panel title:<\/p>\n\n\n
Disk Reads\/Writes per Second\n<\/code><\/span><\/pre>\n\n\n
Queries:<\/p>\n\n\n
alias(perSecond(telegraf.linux-demo.diskio.reads), 'Reads\/sec'<\/span>)\nalias(perSecond(telegraf.linux-demo.diskio.writes), 'Writes\/sec'<\/span>)\n<\/code><\/span>Code language:<\/span> JavaScript<\/span> (<\/span>javascript<\/span>)<\/span><\/small><\/pre>\n\n\n
Visualization:<\/p>\n\n\n
Time series\n<\/code><\/span><\/pre>\n\n\n
Unit:<\/p>\n\n\n
Operations\/sec\n<\/code><\/span><\/pre>\n\n\n
\n\n\n\n
Panel: Disk I\/O Await<\/h2>\n\n\n\n
Panel title:<\/p>\n\n\n
Disk I\/O Await\n<\/code><\/span><\/pre>\n\n\n
Query:<\/p>\n\n\n
telegraf<\/span>.linux-demo<\/span>.diskio<\/span>.io_await<\/span>\n<\/code><\/span>Code language:<\/span> CSS<\/span> (<\/span>css<\/span>)<\/span><\/small><\/pre>\n\n\n
Visualization:<\/p>\n\n\n
Time series\n<\/code><\/span><\/pre>\n\n\n
Unit:<\/p>\n\n\n
Milliseconds\n<\/code><\/span><\/pre>\n\n\n
Explanation:<\/p>\n\n\n
IO await<\/span> shows how long disk operations are waiting.\nHigh values may indicate slow disk or heavy I\/O.\n<\/code><\/span>Code language:<\/span> JavaScript<\/span> (<\/span>javascript<\/span>)<\/span><\/small><\/pre>\n\n\n
\n\n\n\n
Part 15: Network Monitoring Row<\/h1>\n\n\n\n
Panel: Network Traffic Bytes per Second<\/h2>\n\n\n\n
Panel title:<\/p>\n\n\n
Network Traffic\n<\/code><\/span><\/pre>\n\n\n
Queries:<\/p>\n\n\n
alias(perSecond(telegraf.linux-demo.net.bytes_recv), 'Bytes Received\/sec'<\/span>)\nalias(perSecond(telegraf.linux-demo.net.bytes_sent), 'Bytes Sent\/sec'<\/span>)\n<\/code><\/span>Code language:<\/span> JavaScript<\/span> (<\/span>javascript<\/span>)<\/span><\/small><\/pre>\n\n\n
Visualization:<\/p>\n\n\n
Time series\n<\/code><\/span><\/pre>\n\n\n
Unit:<\/p>\n\n\n
Bytes\/sec\n<\/code><\/span><\/pre>\n\n\n
\n\n\n\n
Panel: Network Packets per Second<\/h2>\n\n\n\n
Panel title:<\/p>\n\n\n
Network Packets\n<\/code><\/span><\/pre>\n\n\n
Queries:<\/p>\n\n\n
alias(perSecond(telegraf.linux-demo.net.packets_recv), 'Packets Received\/sec'<\/span>)\nalias(perSecond(telegraf.linux-demo.net.packets_sent), 'Packets Sent\/sec'<\/span>)\n<\/code><\/span>Code language:<\/span> JavaScript<\/span> (<\/span>javascript<\/span>)<\/span><\/small><\/pre>\n\n\n
Visualization:<\/p>\n\n\n
Time series\n<\/code><\/span><\/pre>\n\n\n
Unit:<\/p>\n\n\n
Packets\/sec\n<\/code><\/span><\/pre>\n\n\n
\n\n\n\n
Panel: Network Errors<\/h2>\n\n\n\n
Panel title:<\/p>\n\n\n
Network Errors\n<\/code><\/span><\/pre>\n\n\n
Queries:<\/p>\n\n\n
alias(telegraf.linux-demo.net.err_in, 'Input Errors'<\/span>)\nalias(telegraf.linux-demo.net.err_out, 'Output Errors'<\/span>)\n<\/code><\/span>Code language:<\/span> JavaScript<\/span> (<\/span>javascript<\/span>)<\/span><\/small><\/pre>\n\n\n
Visualization:<\/p>\n\n\n
Time series\n<\/code><\/span><\/pre>\n\n\n
Unit:<\/p>\n\n\n
None\n<\/code><\/span><\/pre>\n\n\n
Explanation:<\/p>\n\n\n
Network errors should normally remain zero.\nIf<\/span> errors increase, there may be a network, driver, or<\/span> interface<\/span> issue<\/span>.\n<\/span><\/code><\/span>Code language:<\/span> PHP<\/span> (<\/span>php<\/span>)<\/span><\/small><\/pre>\n\n\n
\n\n\n\n
Panel: Network Drops<\/h2>\n\n\n\n
Panel title:<\/p>\n\n\n
Network Drops\n<\/code><\/span><\/pre>\n\n\n
Queries:<\/p>\n\n\n
alias(telegraf.linux-demo.net.drop_in, 'Input Drops'<\/span>)\nalias(telegraf.linux-demo.net.drop_out, 'Output Drops'<\/span>)\n<\/code><\/span>Code language:<\/span> JavaScript<\/span> (<\/span>javascript<\/span>)<\/span><\/small><\/pre>\n\n\n
Visualization:<\/p>\n\n\n
Time series\n<\/code><\/span><\/pre>\n\n\n
Unit:<\/p>\n\n\n
None\n<\/code><\/span><\/pre>\n\n\n
\n\n\n\n
Part 16: Swap Monitoring Row<\/h1>\n\n\n\n
Panel: Swap Used %<\/h2>\n\n\n\n
Panel title:<\/p>\n\n\n
Swap Used %\n<\/code><\/span><\/pre>\n\n\n
Query:<\/p>\n\n\n
telegraf<\/span>.linux-demo<\/span>.swap<\/span>.used_percent<\/span>\n<\/code><\/span>Code language:<\/span> CSS<\/span> (<\/span>css<\/span>)<\/span><\/small><\/pre>\n\n\n
Visualization:<\/p>\n\n\n
Gauge\n<\/code><\/span><\/pre>\n\n\n
Unit:<\/p>\n\n\n
Percent (0-100)\n<\/code><\/span><\/pre>\n\n\n
Thresholds:<\/p>\n\n\n
Green<\/span>: 0\nYellow<\/span>: 20\nRed<\/span>: 50\n<\/code><\/span>Code language:<\/span> HTTP<\/span> (<\/span>http<\/span>)<\/span><\/small><\/pre>\n\n\n
\n\n\n\n
Panel: Swap Used and Free<\/h2>\n\n\n\n
Panel title:<\/p>\n\n\n
Swap Used and Free\n<\/code><\/span><\/pre>\n\n\n
Queries:<\/p>\n\n\n
alias(telegraf.linux-demo.swap.used, 'Swap Used'<\/span>)\nalias(telegraf.linux-demo.swap.free, 'Swap Free'<\/span>)\nalias(telegraf.linux-demo.swap.total, 'Swap Total'<\/span>)\n<\/code><\/span>Code language:<\/span> JavaScript<\/span> (<\/span>javascript<\/span>)<\/span><\/small><\/pre>\n\n\n
Visualization:<\/p>\n\n\n
Time series\n<\/code><\/span><\/pre>\n\n\n
Unit:<\/p>\n\n\n
Bytes\n<\/code><\/span><\/pre>\n\n\n
\n\n\n\n
Panel: Swap In and Out<\/h2>\n\n\n\n
Panel title:<\/p>\n\n\n
Swap In\/Out\n<\/code><\/span><\/pre>\n\n\n
Queries:<\/p>\n\n\n
alias(telegraf.linux-demo.swap.in, 'Swap In'<\/span>)\nalias(telegraf.linux-demo.swap.out, 'Swap Out'<\/span>)\n<\/code><\/span>Code language:<\/span> JavaScript<\/span> (<\/span>javascript<\/span>)<\/span><\/small><\/pre>\n\n\n
Visualization:<\/p>\n\n\n
Time series\n<\/code><\/span><\/pre>\n\n\n
Unit:<\/p>\n\n\n
Bytes\n<\/code><\/span><\/pre>\n\n\n
\n\n\n\n
Part 17: Process Monitoring Row<\/h1>\n\n\n\n
Panel: Process States<\/h2>\n\n\n\n
Panel title:<\/p>\n\n\n
Process States\n<\/code><\/span><\/pre>\n\n\n
Queries:<\/p>\n\n\n
alias(telegraf.linux-demo.processes.running, 'Running'<\/span>)\nalias(telegraf.linux-demo.processes.sleeping, 'Sleeping'<\/span>)\nalias(telegraf.linux-demo.processes.blocked, 'Blocked'<\/span>)\nalias(telegraf.linux-demo.processes.zombies, 'Zombies'<\/span>)\n<\/code><\/span>Code language:<\/span> JavaScript<\/span> (<\/span>javascript<\/span>)<\/span><\/small><\/pre>\n\n\n
Visualization:<\/p>\n\n\n
Time series\n<\/code><\/span><\/pre>\n\n\n
Unit:<\/p>\n\n\n
Processes\n<\/code><\/span><\/pre>\n\n\n
\n\n\n\n
Panel: Total Processes and Threads<\/h2>\n\n\n\n
Panel title:<\/p>\n\n\n
Total Processes and Threads\n<\/code><\/span><\/pre>\n\n\n
Queries:<\/p>\n\n\n
alias(telegraf.linux-demo.processes.total, 'Total Processes'<\/span>)\nalias(telegraf.linux-demo.processes.total_threads, 'Total Threads'<\/span>)\n<\/code><\/span>Code language:<\/span> JavaScript<\/span> (<\/span>javascript<\/span>)<\/span><\/small><\/pre>\n\n\n
Visualization:<\/p>\n\n\n
Time series\n<\/code><\/span><\/pre>\n\n\n
Unit:<\/p>\n\n\n
None\n<\/code><\/span><\/pre>\n\n\n
\n\n\n\n
Part 18: Kernel Monitoring Row<\/h1>\n\n\n\n
Panel: Kernel Activity<\/h2>\n\n\n\n
Panel title:<\/p>\n\n\n
Kernel Activity\n<\/code><\/span><\/pre>\n\n\n
Queries:<\/p>\n\n\n
alias(perSecond(telegraf.linux-demo.kernel.context_switches), 'Context Switches\/sec'<\/span>)\nalias(perSecond(telegraf.linux-demo.kernel.interrupts), 'Interrupts\/sec'<\/span>)\nalias(perSecond(telegraf.linux-demo.kernel.processes_forked), 'Processes Forked\/sec'<\/span>)\n<\/code><\/span>Code language:<\/span> JavaScript<\/span> (<\/span>javascript<\/span>)<\/span><\/small><\/pre>\n\n\n
Visualization:<\/p>\n\n\n
Time series\n<\/code><\/span><\/pre>\n\n\n
Unit:<\/p>\n\n\n
Ops\/sec\n<\/code><\/span><\/pre>\n\n\n
\n\n\n\n
Panel: Entropy Available<\/h2>\n\n\n\n
Panel title:<\/p>\n\n\n
Kernel Entropy Available\n<\/code><\/span><\/pre>\n\n\n
Query:<\/p>\n\n\n
telegraf<\/span>.linux-demo<\/span>.kernel<\/span>.entropy_avail<\/span>\n<\/code><\/span>Code language:<\/span> CSS<\/span> (<\/span>css<\/span>)<\/span><\/small><\/pre>\n\n\n
Visualization:<\/p>\n\n\n
Time series\n<\/code><\/span><\/pre>\n\n\n
Unit:<\/p>\n\n\n
None\n<\/code><\/span><\/pre>\n\n\n
Explanation:<\/p>\n\n\n
Entropy is used by Linux for randomness.\nVery low entropy can affect cryptographic operations.\n<\/code><\/span><\/pre>\n\n\n
\n\n\n\n
Part 19: Save Dashboard<\/h1>\n\n\n\n
Click:<\/p>\n\n\n
Save dashboard\n<\/code><\/span><\/pre>\n\n\n
Dashboard name:<\/p>\n\n\n
Linux Server Monitoring - Graphite Telegraf\n<\/code><\/span><\/pre>\n\n\n
Add description:<\/p>\n\n\n
Student lab dashboard using Graphite metrics collected by Telegraf.\n<\/code><\/span><\/pre>\n\n\n
Click:<\/p>\n\n\n
Save\n<\/code><\/span><\/pre>\n\n\n
\n\n\n\n
Part 20: Create Grafana Alert Rules<\/h1>\n\n\n\n
Grafana-managed alert rules can query data sources, reduce or transform query results, and compare values against thresholds. (Grafana Labs<\/a>)<\/p>\n\n\n\n
From the left menu:<\/p>\n\n\n
Alerting \u2192 Alert rules\n<\/code><\/span><\/pre>\n\n\n
Click:<\/p>\n\n\n
New<\/span> alert rule\n<\/code><\/span>Code language:<\/span> PHP<\/span> (<\/span>php<\/span>)<\/span><\/small><\/pre>\n\n\n
Use the same pattern for each alert:<\/p>\n\n\n
Query A  \u2192 Graphite metric\nReduce B \u2192 Last or Mean\nCondition C \u2192 Threshold\n<\/code><\/span><\/pre>\n\n\n
\n\n\n\n
Alert 1: High CPU Usage<\/h1>\n\n\n\n
Alert name:<\/p>\n\n\n
High CPU Usage\n<\/code><\/span><\/pre>\n\n\n
Query A:<\/p>\n\n\n
telegraf<\/span>.linux-demo<\/span>.cpu<\/span>.usage_active<\/span>\n<\/code><\/span>Code language:<\/span> CSS<\/span> (<\/span>css<\/span>)<\/span><\/small><\/pre>\n\n\n
Reduce:<\/p>\n\n\n
Last\n<\/code><\/span><\/pre>\n\n\n
Condition:<\/p>\n\n\n
IS ABOVE 90\n<\/code><\/span><\/pre>\n\n\n
Evaluation:<\/p>\n\n\n
Every 1 minute\nFor 5 minutes\n<\/code><\/span><\/pre>\n\n\n
Meaning:<\/p>\n\n\n
Alert if CPU active usage stays above 90% for 5 minutes.\n<\/code><\/span><\/pre>\n\n\n
\n\n\n\n
Alert 2: High Memory Usage<\/h1>\n\n\n\n
Alert name:<\/p>\n\n\n
High Memory Usage\n<\/code><\/span><\/pre>\n\n\n
Query A:<\/p>\n\n\n
telegraf<\/span>.linux-demo<\/span>.mem<\/span>.used_percent<\/span>\n<\/code><\/span>Code language:<\/span> CSS<\/span> (<\/span>css<\/span>)<\/span><\/small><\/pre>\n\n\n
Reduce:<\/p>\n\n\n
Last\n<\/code><\/span><\/pre>\n\n\n
Condition:<\/p>\n\n\n
IS ABOVE 90\n<\/code><\/span><\/pre>\n\n\n
Evaluation:<\/p>\n\n\n
Every 1 minute\nFor 5 minutes\n<\/code><\/span><\/pre>\n\n\n
\n\n\n\n
Alert 3: High Disk Usage<\/h1>\n\n\n\n
Alert name:<\/p>\n\n\n
High Disk Usage\n<\/code><\/span><\/pre>\n\n\n
Query A:<\/p>\n\n\n
telegraf<\/span>.linux-demo<\/span>.disk<\/span>.used_percent<\/span>\n<\/code><\/span>Code language:<\/span> CSS<\/span> (<\/span>css<\/span>)<\/span><\/small><\/pre>\n\n\n
Reduce:<\/p>\n\n\n
Last\n<\/code><\/span><\/pre>\n\n\n
Condition:<\/p>\n\n\n
IS ABOVE 90\n<\/code><\/span><\/pre>\n\n\n
Evaluation:<\/p>\n\n\n
Every 1 minute\nFor 5 minutes\n<\/code><\/span><\/pre>\n\n\n
\n\n\n\n
Alert 4: High Disk Inode Usage<\/h1>\n\n\n\n
Alert name:<\/p>\n\n\n
High Disk Inode Usage\n<\/code><\/span><\/pre>\n\n\n
Query A:<\/p>\n\n\n
telegraf<\/span>.linux-demo<\/span>.disk<\/span>.inodes_used_percent<\/span>\n<\/code><\/span>Code language:<\/span> CSS<\/span> (<\/span>css<\/span>)<\/span><\/small><\/pre>\n\n\n
Reduce:<\/p>\n\n\n
Last\n<\/code><\/span><\/pre>\n\n\n
Condition:<\/p>\n\n\n
IS ABOVE 90\n<\/code><\/span><\/pre>\n\n\n
Evaluation:<\/p>\n\n\n
Every 1 minute\nFor 5 minutes\n<\/code><\/span><\/pre>\n\n\n
\n\n\n\n
Alert 5: High Swap Usage<\/h1>\n\n\n\n
Alert name:<\/p>\n\n\n
High Swap Usage\n<\/code><\/span><\/pre>\n\n\n
Query A:<\/p>\n\n\n
telegraf<\/span>.linux-demo<\/span>.swap<\/span>.used_percent<\/span>\n<\/code><\/span>Code language:<\/span> CSS<\/span> (<\/span>css<\/span>)<\/span><\/small><\/pre>\n\n\n
Reduce:<\/p>\n\n\n
Last\n<\/code><\/span><\/pre>\n\n\n
Condition:<\/p>\n\n\n
IS ABOVE 50\n<\/code><\/span><\/pre>\n\n\n
Evaluation:<\/p>\n\n\n
Every 1 minute\nFor 5 minutes\n<\/code><\/span><\/pre>\n\n\n
Explanation:<\/p>\n\n\n
Swap usage should normally be low.\nHigh swap usage may indicate memory pressure.\n<\/code><\/span><\/pre>\n\n\n
\n\n\n\n
Alert 6: High System Load<\/h1>\n\n\n\n
Alert name:<\/p>\n\n\n
High System Load\n<\/code><\/span><\/pre>\n\n\n
Query A:<\/p>\n\n\n
telegraf<\/span>.linux-demo<\/span>.system<\/span>.load1<\/span>\n<\/code><\/span>Code language:<\/span> CSS<\/span> (<\/span>css<\/span>)<\/span><\/small><\/pre>\n\n\n
Reduce:<\/p>\n\n\n
Last\n<\/code><\/span><\/pre>\n\n\n
Condition:<\/p>\n\n\n
IS ABOVE 2\n<\/code><\/span><\/pre>\n\n\n
Evaluation:<\/p>\n\n\n
Every 1 minute\nFor 5 minutes\n<\/code><\/span><\/pre>\n\n\n
Note for students:<\/p>\n\n\n
For a small lab VM, load above 2<\/span> can be considered high.\nIn production, compare load with<\/span> number of<\/span> CPU cores.\n<\/code><\/span>Code language:<\/span> JavaScript<\/span> (<\/span>javascript<\/span>)<\/span><\/small><\/pre>\n\n\n
\n\n\n\n
Alert 7: Zombie Processes Detected<\/h1>\n\n\n\n
Alert name:<\/p>\n\n\n
Zombie Processes Detected\n<\/code><\/span><\/pre>\n\n\n
Query A:<\/p>\n\n\n
telegraf<\/span>.linux-demo<\/span>.processes<\/span>.zombies<\/span>\n<\/code><\/span>Code language:<\/span> CSS<\/span> (<\/span>css<\/span>)<\/span><\/small><\/pre>\n\n\n
Reduce:<\/p>\n\n\n
Last\n<\/code><\/span><\/pre>\n\n\n
Condition:<\/p>\n\n\n
IS ABOVE 0\n<\/code><\/span><\/pre>\n\n\n
Evaluation:<\/p>\n\n\n
Every 1 minute\nFor 2 minutes\n<\/code><\/span><\/pre>\n\n\n
Explanation:<\/p>\n\n\n
Zombie processes are processes that have finished but still remain in the process table.\n<\/code><\/span><\/pre>\n\n\n
\n\n\n\n
Alert 8: Blocked Processes Detected<\/h1>\n\n\n\n
Alert name:<\/p>\n\n\n
Blocked Processes Detected\n<\/code><\/span><\/pre>\n\n\n
Query A:<\/p>\n\n\n
telegraf<\/span>.linux-demo<\/span>.processes<\/span>.blocked<\/span>\n<\/code><\/span>Code language:<\/span> CSS<\/span> (<\/span>css<\/span>)<\/span><\/small><\/pre>\n\n\n
Reduce:<\/p>\n\n\n
Last\n<\/code><\/span><\/pre>\n\n\n
Condition:<\/p>\n\n\n
IS ABOVE 0\n<\/code><\/span><\/pre>\n\n\n
Evaluation:<\/p>\n\n\n
Every 1 minute\nFor 2 minutes\n<\/code><\/span><\/pre>\n\n\n
\n\n\n\n
Alert 9: Network Input Errors<\/h1>\n\n\n\n
Alert name:<\/p>\n\n\n
Network Input Errors\n<\/code><\/span><\/pre>\n\n\n
Query A:<\/p>\n\n\n
telegraf<\/span>.linux-demo<\/span>.net<\/span>.err_in<\/span>\n<\/code><\/span>Code language:<\/span> CSS<\/span> (<\/span>css<\/span>)<\/span><\/small><\/pre>\n\n\n
Reduce:<\/p>\n\n\n
Last\n<\/code><\/span><\/pre>\n\n\n
Condition:<\/p>\n\n\n
IS ABOVE 0\n<\/code><\/span><\/pre>\n\n\n
Evaluation:<\/p>\n\n\n
Every 1 minute\nFor 2 minutes\n<\/code><\/span><\/pre>\n\n\n
\n\n\n\n
Alert 10: Network Output Errors<\/h1>\n\n\n\n
Alert name:<\/p>\n\n\n
Network Output Errors\n<\/code><\/span><\/pre>\n\n\n
Query A:<\/p>\n\n\n
telegraf<\/span>.linux-demo<\/span>.net<\/span>.err_out<\/span>\n<\/code><\/span>Code language:<\/span> CSS<\/span> (<\/span>css<\/span>)<\/span><\/small><\/pre>\n\n\n
Reduce:<\/p>\n\n\n
Last\n<\/code><\/span><\/pre>\n\n\n
Condition:<\/p>\n\n\n
IS ABOVE 0\n<\/code><\/span><\/pre>\n\n\n
Evaluation:<\/p>\n\n\n
Every 1 minute\nFor 2 minutes\n<\/code><\/span><\/pre>\n\n\n
\n\n\n\n
Alert 11: Disk I\/O Utilization High<\/h1>\n\n\n\n
Alert name:<\/p>\n\n\n
Disk I\/O Utilization High\n<\/code><\/span><\/pre>\n\n\n
Query A:<\/p>\n\n\n
telegraf<\/span>.linux-demo<\/span>.diskio<\/span>.io_util<\/span>\n<\/code><\/span>Code language:<\/span> CSS<\/span> (<\/span>css<\/span>)<\/span><\/small><\/pre>\n\n\n
Reduce:<\/p>\n\n\n
Last\n<\/code><\/span><\/pre>\n\n\n
Condition:<\/p>\n\n\n
IS ABOVE 80\n<\/code><\/span><\/pre>\n\n\n
Evaluation:<\/p>\n\n\n
Every 1 minute\nFor 5 minutes\n<\/code><\/span><\/pre>\n\n\n
\n\n\n\n
Part 21: Recommended Alert Settings for Lab<\/h1>\n\n\n\n
For each alert rule, use:<\/p>\n\n\n
Folder:\nLinux Monitoring Lab\n\nEvaluation group:\nlinux-telegraf-alerts\n\nEvaluate every:\n1m\n\nPending period:\n5m for resource alerts\n2m for error\/process alerts\n<\/code><\/span><\/pre>\n\n\n
No data behavior:<\/p>\n\n\n
No Data \u2192 No Data\nError<\/span> \u2192 Error<\/span>\n<\/code><\/span>Code language:<\/span> JavaScript<\/span> (<\/span>javascript<\/span>)<\/span><\/small><\/pre>\n\n\n
For beginner labs, explain:<\/p>\n\n\n
No Data means Grafana did not receive data for the query.\nError means the query or data source failed.\n<\/code><\/span><\/pre>\n\n\n
\n\n\n\n
Part 22: Testing Alerts Safely<\/h1>\n\n\n\n
For a classroom lab, students may not naturally reach 90% CPU or memory.<\/p>\n\n\n\n
So for testing only, temporarily change thresholds.<\/p>\n\n\n\n
Example:<\/p>\n\n\n
CPU alert production threshold:\nCPU > 90\n\nCPU alert test threshold:\nCPU > 1\n<\/code><\/span><\/pre>\n\n\n
Then wait for the alert to fire.<\/p>\n\n\n\n
After testing, change it back to:<\/p>\n\n\n
CPU > 90\n<\/code><\/span><\/pre>\n\n\n
For disk and memory alerts, do not ask beginners to fill disk or memory. Instead, test by temporarily lowering the threshold.<\/p>\n\n\n\n
\n\n\n\n
Part 23: Troubleshooting<\/h1>\n\n\n\n
Problem 1: Graphite Data Source Test Fails<\/h2>\n\n\n\n
Check Graphite container:<\/p>\n\n\n
docker ps\n<\/code><\/span><\/pre>\n\n\n
Check Graphite API:<\/p>\n\n\n
curl \"http:\/\/localhost:8080\/metrics\/find?query=telegraf.*\"<\/span>\n<\/code><\/span>Code language:<\/span> JavaScript<\/span> (<\/span>javascript<\/span>)<\/span><\/small><\/pre>\n\n\n
If Grafana cannot connect using:<\/p>\n\n\n
http:\/\/localhost:8080<\/span>\n<\/code><\/span>Code language:<\/span> JavaScript<\/span> (<\/span>javascript<\/span>)<\/span><\/small><\/pre>\n\n\n
Try:<\/p>\n\n\n
http:\/\/<server-public-ip<\/span>><\/span>:8080\n<\/code><\/span>Code language:<\/span> HTML, XML<\/span> (<\/span>xml<\/span>)<\/span><\/small><\/pre>\n\n\n
\n\n\n\n
Problem 2: Query Shows No Data<\/h2>\n\n\n\n
Check whether metric exists:<\/p>\n\n\n
curl \"http:\/\/localhost:8080\/metrics\/find?query=telegraf.linux-demo.cpu.*\"<\/span>\n<\/code><\/span>Code language:<\/span> JavaScript<\/span> (<\/span>javascript<\/span>)<\/span><\/small><\/pre>\n\n\n
Try this known working metric:<\/p>\n\n\n
telegraf<\/span>.linux-demo<\/span>.cpu<\/span>.usage_active<\/span>\n<\/code><\/span>Code language:<\/span> CSS<\/span> (<\/span>css<\/span>)<\/span><\/small><\/pre>\n\n\n
Also check time range in Grafana:<\/p>\n\n\n
Last 5 minutes\nLast 15 minutes\nLast 1 hour\n<\/code><\/span><\/pre>\n\n\n
\n\n\n\n
Problem 3: Student Used .wsp<\/code> in Grafana Query<\/h2>\n\n\n\n
Wrong:<\/p>\n\n\n
telegraf<\/span>.linux-demo<\/span>.cpu<\/span>.usage_active<\/span>.wsp<\/span>\n<\/code><\/span>Code language:<\/span> CSS<\/span> (<\/span>css<\/span>)<\/span><\/small><\/pre>\n\n\n
Correct:<\/p>\n\n\n
telegraf<\/span>.linux-demo<\/span>.cpu<\/span>.usage_active<\/span>\n<\/code><\/span>Code language:<\/span> CSS<\/span> (<\/span>css<\/span>)<\/span><\/small><\/pre>\n\n\n
Explain:<\/p>\n\n\n
.wsp<\/span> is<\/span> the<\/span> storage<\/span> file<\/span> extension<\/span>.\nGrafana<\/span> queries<\/span> the<\/span> metric<\/span> name<\/span>, not<\/span> the<\/span> file<\/span> name<\/span>.\n<\/code><\/span>Code language:<\/span> CSS<\/span> (<\/span>css<\/span>)<\/span><\/small><\/pre>\n\n\n
\n\n\n\n
Problem 4: Student Uses servers.*<\/code><\/h2>\n\n\n\n
Wrong:<\/p>\n\n\n
servers.*\n<\/code><\/span><\/pre>\n\n\n
Correct:<\/p>\n\n\n
telegraf<\/span>.linux-demo<\/span>.*\n<\/code><\/span>Code language:<\/span> CSS<\/span> (<\/span>css<\/span>)<\/span><\/small><\/pre>\n\n\n
Reason:<\/p>\n\n\n
Your<\/span> Graphite<\/span> server<\/span> has<\/span> no<\/span> metrics<\/span> under<\/span> servers<\/span>.*.\nThe<\/span> actual<\/span> metrics<\/span> are<\/span> stored<\/span> under<\/span> telegraf<\/span>.linux-demo<\/span>.*.\n<\/code><\/span>Code language:<\/span> CSS<\/span> (<\/span>css<\/span>)<\/span><\/small><\/pre>\n\n\n
\n\n\n\n
Part 24: Student Exercise<\/h1>\n\n\n\n
Ask students to complete these tasks:<\/p>\n\n\n\n
Exercise 1: Explore Metrics<\/h2>\n\n\n\n
Use Grafana Explore and run:<\/p>\n\n\n
telegraf<\/span>.linux-demo<\/span>.cpu<\/span>.usage_active<\/span>\ntelegraf<\/span>.linux-demo<\/span>.mem<\/span>.used_percent<\/span>\ntelegraf<\/span>.linux-demo<\/span>.disk<\/span>.used_percent<\/span>\n<\/code><\/span>Code language:<\/span> CSS<\/span> (<\/span>css<\/span>)<\/span><\/small><\/pre>\n\n\n
Question:<\/p>\n\n\n
Which metric shows CPU usage?\nWhich metric shows memory usage?\nWhich metric shows disk usage?\n<\/code><\/span><\/pre>\n\n\n
\n\n\n\n
Exercise 2: Create Three Stat Panels<\/h2>\n\n\n\n
Create stat panels for:<\/p>\n\n\n
CPU Active %\nMemory Used %\nDisk Used %\n<\/code><\/span><\/pre>\n\n\n
\n\n\n\n
Exercise 3: Create One Time Series Panel<\/h2>\n\n\n\n
Create a CPU breakdown panel using:<\/p>\n\n\n
telegraf<\/span>.linux-demo<\/span>.cpu<\/span>.usage_user<\/span>\ntelegraf<\/span>.linux-demo<\/span>.cpu<\/span>.usage_system<\/span>\ntelegraf<\/span>.linux-demo<\/span>.cpu<\/span>.usage_iowait<\/span>\ntelegraf<\/span>.linux-demo<\/span>.cpu<\/span>.usage_idle<\/span>\n<\/code><\/span>Code language:<\/span> CSS<\/span> (<\/span>css<\/span>)<\/span><\/small><\/pre>\n\n\n
\n\n\n\n
Exercise 4: Create One Alert<\/h2>\n\n\n\n
Create alert:<\/p>\n\n\n
High Memory Usage\n<\/code><\/span><\/pre>\n\n\n
Metric:<\/p>\n\n\n
telegraf<\/span>.linux-demo<\/span>.mem<\/span>.used_percent<\/span>\n<\/code><\/span>Code language:<\/span> CSS<\/span> (<\/span>css<\/span>)<\/span><\/small><\/pre>\n\n\n
Condition:<\/p>\n\n\n
Above 90\n<\/code><\/span><\/pre>\n\n\n
For testing, temporarily change:<\/p>\n\n\n
Above 1\n<\/code><\/span><\/pre>\n\n\n
Then restore:<\/p>\n\n\n
Above 90\n<\/code><\/span><\/pre>\n\n\n
\n\n\n\n
Part 25: Complete Captured Metric Inventory<\/h1>\n\n\n\n
These are the actual metric groups to use in this lab.<\/p>\n\n\n\n
CPU Metrics<\/h2>\n\n\n
telegraf<\/span>.linux-demo<\/span>.cpu<\/span>.usage_active<\/span>\ntelegraf<\/span>.linux-demo<\/span>.cpu<\/span>.usage_guest<\/span>\ntelegraf<\/span>.linux-demo<\/span>.cpu<\/span>.usage_guest_nice<\/span>\ntelegraf<\/span>.linux-demo<\/span>.cpu<\/span>.usage_idle<\/span>\ntelegraf<\/span>.linux-demo<\/span>.cpu<\/span>.usage_iowait<\/span>\ntelegraf<\/span>.linux-demo<\/span>.cpu<\/span>.usage_irq<\/span>\ntelegraf<\/span>.linux-demo<\/span>.cpu<\/span>.usage_nice<\/span>\ntelegraf<\/span>.linux-demo<\/span>.cpu<\/span>.usage_softirq<\/span>\ntelegraf<\/span>.linux-demo<\/span>.cpu<\/span>.usage_steal<\/span>\ntelegraf<\/span>.linux-demo<\/span>.cpu<\/span>.usage_system<\/span>\ntelegraf<\/span>.linux-demo<\/span>.cpu<\/span>.usage_user<\/span>\n<\/code><\/span>Code language:<\/span> CSS<\/span> (<\/span>css<\/span>)<\/span><\/small><\/pre>\n\n\n
Memory Metrics<\/h2>\n\n\n
telegraf<\/span>.linux-demo<\/span>.mem<\/span>.active<\/span>\ntelegraf<\/span>.linux-demo<\/span>.mem<\/span>.available<\/span>\ntelegraf<\/span>.linux-demo<\/span>.mem<\/span>.available_percent<\/span>\ntelegraf<\/span>.linux-demo<\/span>.mem<\/span>.buffered<\/span>\ntelegraf<\/span>.linux-demo<\/span>.mem<\/span>.cached<\/span>\ntelegraf<\/span>.linux-demo<\/span>.mem<\/span>.commit_limit<\/span>\ntelegraf<\/span>.linux-demo<\/span>.mem<\/span>.committed_as<\/span>\ntelegraf<\/span>.linux-demo<\/span>.mem<\/span>.dirty<\/span>\ntelegraf<\/span>.linux-demo<\/span>.mem<\/span>.free<\/span>\ntelegraf<\/span>.linux-demo<\/span>.mem<\/span>.high_free<\/span>\ntelegraf<\/span>.linux-demo<\/span>.mem<\/span>.high_total<\/span>\ntelegraf<\/span>.linux-demo<\/span>.mem<\/span>.huge_page_size<\/span>\ntelegraf<\/span>.linux-demo<\/span>.mem<\/span>.huge_pages_free<\/span>\ntelegraf<\/span>.linux-demo<\/span>.mem<\/span>.huge_pages_total<\/span>\ntelegraf<\/span>.linux-demo<\/span>.mem<\/span>.inactive<\/span>\ntelegraf<\/span>.linux-demo<\/span>.mem<\/span>.low_free<\/span>\ntelegraf<\/span>.linux-demo<\/span>.mem<\/span>.low_total<\/span>\ntelegraf<\/span>.linux-demo<\/span>.mem<\/span>.mapped<\/span>\ntelegraf<\/span>.linux-demo<\/span>.mem<\/span>.page_tables<\/span>\ntelegraf<\/span>.linux-demo<\/span>.mem<\/span>.shared<\/span>\ntelegraf<\/span>.linux-demo<\/span>.mem<\/span>.slab<\/span>\ntelegraf<\/span>.linux-demo<\/span>.mem<\/span>.sreclaimable<\/span>\ntelegraf<\/span>.linux-demo<\/span>.mem<\/span>.sunreclaim<\/span>\ntelegraf<\/span>.linux-demo<\/span>.mem<\/span>.swap_cached<\/span>\ntelegraf<\/span>.linux-demo<\/span>.mem<\/span>.swap_free<\/span>\ntelegraf<\/span>.linux-demo<\/span>.mem<\/span>.swap_total<\/span>\ntelegraf<\/span>.linux-demo<\/span>.mem<\/span>.total<\/span>\ntelegraf<\/span>.linux-demo<\/span>.mem<\/span>.used<\/span>\ntelegraf<\/span>.linux-demo<\/span>.mem<\/span>.used_percent<\/span>\ntelegraf<\/span>.linux-demo<\/span>.mem<\/span>.vmalloc_chunk<\/span>\ntelegraf<\/span>.linux-demo<\/span>.mem<\/span>.vmalloc_total<\/span>\ntelegraf<\/span>.linux-demo<\/span>.mem<\/span>.vmalloc_used<\/span>\ntelegraf<\/span>.linux-demo<\/span>.mem<\/span>.write_back<\/span>\ntelegraf<\/span>.linux-demo<\/span>.mem<\/span>.write_back_tmp<\/span>\n<\/code><\/span>Code language:<\/span> CSS<\/span> (<\/span>css<\/span>)<\/span><\/small><\/pre>\n\n\n
Disk Metrics<\/h2>\n\n\n
telegraf<\/span>.linux-demo<\/span>.disk<\/span>.free<\/span>\ntelegraf<\/span>.linux-demo<\/span>.disk<\/span>.inodes_free<\/span>\ntelegraf<\/span>.linux-demo<\/span>.disk<\/span>.inodes_total<\/span>\ntelegraf<\/span>.linux-demo<\/span>.disk<\/span>.inodes_used<\/span>\ntelegraf<\/span>.linux-demo<\/span>.disk<\/span>.inodes_used_percent<\/span>\ntelegraf<\/span>.linux-demo<\/span>.disk<\/span>.total<\/span>\ntelegraf<\/span>.linux-demo<\/span>.disk<\/span>.used<\/span>\ntelegraf<\/span>.linux-demo<\/span>.disk<\/span>.used_percent<\/span>\n<\/code><\/span>Code language:<\/span> CSS<\/span> (<\/span>css<\/span>)<\/span><\/small><\/pre>\n\n\n
Disk I\/O Metrics<\/h2>\n\n\n
telegraf<\/span>.linux-demo<\/span>.diskio<\/span>.io_await<\/span>\ntelegraf<\/span>.linux-demo<\/span>.diskio<\/span>.io_svctm<\/span>\ntelegraf<\/span>.linux-demo<\/span>.diskio<\/span>.io_time<\/span>\ntelegraf<\/span>.linux-demo<\/span>.diskio<\/span>.io_util<\/span>\ntelegraf<\/span>.linux-demo<\/span>.diskio<\/span>.iops_in_progress<\/span>\ntelegraf<\/span>.linux-demo<\/span>.diskio<\/span>.merged_reads<\/span>\ntelegraf<\/span>.linux-demo<\/span>.diskio<\/span>.merged_writes<\/span>\ntelegraf<\/span>.linux-demo<\/span>.diskio<\/span>.read_bytes<\/span>\ntelegraf<\/span>.linux-demo<\/span>.diskio<\/span>.read_time<\/span>\ntelegraf<\/span>.linux-demo<\/span>.diskio<\/span>.reads<\/span>\ntelegraf<\/span>.linux-demo<\/span>.diskio<\/span>.weighted_io_time<\/span>\ntelegraf<\/span>.linux-demo<\/span>.diskio<\/span>.write_bytes<\/span>\ntelegraf<\/span>.linux-demo<\/span>.diskio<\/span>.write_time<\/span>\ntelegraf<\/span>.linux-demo<\/span>.diskio<\/span>.writes<\/span>\n<\/code><\/span>Code language:<\/span> CSS<\/span> (<\/span>css<\/span>)<\/span><\/small><\/pre>\n\n\n
Network Metrics<\/h2>\n\n\n
telegraf<\/span>.linux-demo<\/span>.net<\/span>.bytes_recv<\/span>\ntelegraf<\/span>.linux-demo<\/span>.net<\/span>.bytes_sent<\/span>\ntelegraf<\/span>.linux-demo<\/span>.net<\/span>.drop_in<\/span>\ntelegraf<\/span>.linux-demo<\/span>.net<\/span>.drop_out<\/span>\ntelegraf<\/span>.linux-demo<\/span>.net<\/span>.err_in<\/span>\ntelegraf<\/span>.linux-demo<\/span>.net<\/span>.err_out<\/span>\ntelegraf<\/span>.linux-demo<\/span>.net<\/span>.packets_recv<\/span>\ntelegraf<\/span>.linux-demo<\/span>.net<\/span>.packets_sent<\/span>\ntelegraf<\/span>.linux-demo<\/span>.net<\/span>.speed<\/span>\n<\/code><\/span>Code language:<\/span> CSS<\/span> (<\/span>css<\/span>)<\/span><\/small><\/pre>\n\n\n
Process Metrics<\/h2>\n\n\n
telegraf<\/span>.linux-demo<\/span>.processes<\/span>.blocked<\/span>\ntelegraf<\/span>.linux-demo<\/span>.processes<\/span>.dead<\/span>\ntelegraf<\/span>.linux-demo<\/span>.processes<\/span>.idle<\/span>\ntelegraf<\/span>.linux-demo<\/span>.processes<\/span>.paging<\/span>\ntelegraf<\/span>.linux-demo<\/span>.processes<\/span>.running<\/span>\ntelegraf<\/span>.linux-demo<\/span>.processes<\/span>.sleeping<\/span>\ntelegraf<\/span>.linux-demo<\/span>.processes<\/span>.stopped<\/span>\ntelegraf<\/span>.linux-demo<\/span>.processes<\/span>.total<\/span>\ntelegraf<\/span>.linux-demo<\/span>.processes<\/span>.total_threads<\/span>\ntelegraf<\/span>.linux-demo<\/span>.processes<\/span>.unknown<\/span>\ntelegraf<\/span>.linux-demo<\/span>.processes<\/span>.zombies<\/span>\n<\/code><\/span>Code language:<\/span> CSS<\/span> (<\/span>css<\/span>)<\/span><\/small><\/pre>\n\n\n
Swap Metrics<\/h2>\n\n\n
telegraf<\/span>.linux-demo<\/span>.swap<\/span>.free<\/span>\ntelegraf<\/span>.linux-demo<\/span>.swap<\/span>.in<\/span>\ntelegraf<\/span>.linux-demo<\/span>.swap<\/span>.out<\/span>\ntelegraf<\/span>.linux-demo<\/span>.swap<\/span>.total<\/span>\ntelegraf<\/span>.linux-demo<\/span>.swap<\/span>.used<\/span>\ntelegraf<\/span>.linux-demo<\/span>.swap<\/span>.used_percent<\/span>\n<\/code><\/span>Code language:<\/span> CSS<\/span> (<\/span>css<\/span>)<\/span><\/small><\/pre>\n\n\n
System Metrics<\/h2>\n\n\n
telegraf<\/span>.linux-demo<\/span>.system<\/span>.load1<\/span>\ntelegraf<\/span>.linux-demo<\/span>.system<\/span>.load15<\/span>\ntelegraf<\/span>.linux-demo<\/span>.system<\/span>.load5<\/span>\ntelegraf<\/span>.linux-demo<\/span>.system<\/span>.n_cpus<\/span>\ntelegraf<\/span>.linux-demo<\/span>.system<\/span>.n_physical_cpus<\/span>\ntelegraf<\/span>.linux-demo<\/span>.system<\/span>.uptime<\/span>\n<\/code><\/span>Code language:<\/span> CSS<\/span> (<\/span>css<\/span>)<\/span><\/small><\/pre>\n\n\n
Kernel Metrics<\/h2>\n\n\n
telegraf<\/span>.linux-demo<\/span>.kernel<\/span>.boot_time<\/span>\ntelegraf<\/span>.linux-demo<\/span>.kernel<\/span>.context_switches<\/span>\ntelegraf<\/span>.linux-demo<\/span>.kernel<\/span>.entropy_avail<\/span>\ntelegraf<\/span>.linux-demo<\/span>.kernel<\/span>.interrupts<\/span>\ntelegraf<\/span>.linux-demo<\/span>.kernel<\/span>.processes_forked<\/span>\n<\/code><\/span>Code language:<\/span> CSS<\/span> (<\/span>css<\/span>)<\/span><\/small><\/pre>\n\n\n
\n\n\n\n
Final Student Summary<\/h1>\n\n\n\n
By completing this lab, students learned how to:<\/p>\n\n\n
1.<\/span> Verify Graphite and Telegraf containers\n2.<\/span> Check stored Graphite metrics\n3.<\/span> Understand .wsp files versus Grafana metric queries\n4.<\/span> Add Graphite as<\/span> a Grafana 13<\/span> data source\n5.<\/span> Explore Graphite metrics in<\/span> Grafana\n6.<\/span> Build a Linux monitoring dashboard\n7.<\/span> Create CPU, memory, disk, disk I\/O, network, swap, process, system, and kernel panels\n8.<\/span> Create beginner-friendly Grafana alert rules\n9.<\/span> Troubleshoot common Graphite and Grafana query issues\n<\/code><\/span>Code language:<\/span> JavaScript<\/span> (<\/span>javascript<\/span>)<\/span><\/small><\/pre>\n\n\n
<\/p>\n","protected":false},"excerpt":{"rendered":"
Lab Goal In this lab, students will learn how to use Grafana 13 with Graphite as a data source and create a Linux monitoring dashboard using metrics collected by Telegraf…. <\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"","sticky":false,"template":"","format":"standard","meta":{"_joinchat":[],"footnotes":""},"categories":[11138],"tags":[],"class_list":["post-75249","post","type-post","status-publish","format-standard","hentry","category-best-tools"],"_links":{"self":[{"href":"https:\/\/www.devopsschool.com\/blog\/wp-json\/wp\/v2\/posts\/75249","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.devopsschool.com\/blog\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.devopsschool.com\/blog\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.devopsschool.com\/blog\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/www.devopsschool.com\/blog\/wp-json\/wp\/v2\/comments?post=75249"}],"version-history":[{"count":1,"href":"https:\/\/www.devopsschool.com\/blog\/wp-json\/wp\/v2\/posts\/75249\/revisions"}],"predecessor-version":[{"id":75250,"href":"https:\/\/www.devopsschool.com\/blog\/wp-json\/wp\/v2\/posts\/75249\/revisions\/75250"}],"wp:attachment":[{"href":"https:\/\/www.devopsschool.com\/blog\/wp-json\/wp\/v2\/media?parent=75249"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.devopsschool.com\/blog\/wp-json\/wp\/v2\/categories?post=75249"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.devopsschool.com\/blog\/wp-json\/wp\/v2\/tags?post=75249"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}