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The Universal Open Source Enterprise Level Monitoring Solution
Monitoring All Elements of
Your Database Operations with
Zabbix
Who am I?
Alexei Vladishev
Founder of Zabbix
CEO, Architect and Product Manager
Twitter: @avladishev
Email: alex@zabbix.com
2
My plan
• Introduction to Zabbix
• Zabbix capabilities
• What’s possible?
3
History of Zabbix
It started with a simple
script
What’s wrong with the
script?
• Hard to maintain and extend
• It did not scale well
• Provided no advanced problem detection
• Any change required script modifications
• Etc etc etc
Then I redesigned everything and
eventually named it Zabbix…
Zabbix is a universal open
source enterprise level
monitoring solution
Zabbix team
45 members working full-time
Offices in Riga
(Headquarters), Tokyo and
New-York
9
All levels of infrastructure
10
All platforms and OS
All platforms
All vendors
Any metrics
11
Zabbix Architecture
13
Data collection
14
History
MySQL or PostgreSQL or Oracle or DB2
Analysis
Zabbix server
Data collection
15
History
Analysis
Data collection
Reaction:
Alerts
Automatic actions
Zabbix server
WEB UI:
Visualization
Management
How to install Zabbix
Official packages
Debian, Ubuntu
CentOS, RedHat, Oracle Linux
Database monitoring
17
Production environment
Load balancer based on HA Proxy
7 x MySQL nodes running on Linux
What do we need to monitor?
OS metrics
• CPU, memory and network utilization
• Disk IO time
• Available disk space
Database metrics
• Configuration related: max connections, buffer sizes, sync mode
• Performance: QPS, query performance, cache hit rate, slow queries, buffer pool usage
• Availability: DB is up, connections, log files
• Consistency: DB encoding, replication
• Security: SSL enabled, opened ports, log files
19
Linux (OS) metrics: Zabbix Agent
shell> apt-get install zabbix-agent
or
shell> rpm -Uvh zabbix-agent
* for AIX, Solaris, HP-UX, *BSD, Windows: download pre-compiled from
www.zabbix.com
20
Active vs Passive
Pull
• Service checks
• Passive agent
• SSH and Telnet
Push
• Active agent
• Zabbix Trapper and SNMP Traps
• Monitoring of log files
21
Passive
PULL
22
Zabbix Server
Zabbix
Agent
Zabbix
Agent
Active
PUSH
MySQL MySQL
Add a new host to Zabbix
23
Create a new host
24
25
26
Monitoring MySQL metrics
show global status …
select * from sys.*
select * from performance_schema
mysql log file
28
/etc/zabbix/agent/zabbix_mysql.conf:
/etc/zabbix/zabbix_agentd.conf:
29
30
31
Template App MySQL
32
Graphs
33
Maps
34
Any data
35
Aggregated metrics
Calculated metrics
Buffer pool disk read percentage: 100 * Innodb_buffer_pool_reads /
Innodb_buffer_pool_read_requests
Number of QPS per cluster: grpsum[“DB Cluster","mysql.status[Questions]",last]
Buffer pool utilization: 100 * (Innodb_buffer_pool_pages_total -
Innodb_buffer_pool_pages_free) /
Innodb_buffer_pool_pages_total
36
Also calculated
Aggregated metrics for a group of hosts
Custom dashboards
37
How to detect problems in
this data flow?
38
Triggers!
39
Trigger is
а problem definition
40
{server:mysql.status[Questions].last()} > 5000
41
MySQL server is overloaded
Tags Datacenter: AM2 Env: Production Service: DB Cluster
Triggers
Example
{server:mysql.status[Com_update].last()} / {server:mysql.status[Questions].last()} > 0.1
Operators
- + / * < > = <> <= >= or and not
Functions
min max avg last count date time diff regexp and much more!
42
{MySQL_001:mysql.status[Questions].last()} > 5000

and

{MySQL_002:mysql.status[Questions].last()} > 5000

and

{MySQL_003:mysql.status[Questions].last()} > 5000
43
Analyse everything:
any metric and any hosts
Cluster is overloaded
Problem view
44
45
46
47
Problems
48
Performance: MySQL is overloaded
{MySQL_001:mysql.status[Questions].last()} > 5000
Availability: MySQL is not available
{MySQL_001:mysql.ping.last()} = 0
Junior level
49
Flapping!
50
0
2500
5000
7500
10000
10:00 10:05 10:10 10:15 10:20 10:25 10:30 10:35 10:40 10:45 10:50
{MySQL_001:mysql.status[Questions].last()} > 5000
Too sensitive leads to
false positives
51
How to get rid of
false positives?
52
Properly define problem
conditions and think
carefully!
MySQL is overloaded
MySQL is not available
running out of disk space
53
What really means ?
Take advantage of history
MySQL is overloaded
{MySQL_001:mysql.status[Questions].min(10m)} > 5000
MySQL node is not available
{MySQL_001:mysql.ping.max(#3)} = 0
54
Problem disappeared
!=
problem is resolved
55
A few examples
Problem: Queries per second > 5000

Now: 4999 Resolved?
Problem: Disk space < 10%

Now: 9.95% Resolved?
Problem: MySQL is not available

Now: last check returned Up Resolved?
56
A few examples
Problem: Queries per second > 5000

Now: 4999 Resolved?
Problem: Disk space < 10%

Now: 10.05% Resolved?
Problem: MySQL is not available

Now: last check returned Up Resolved?
57
A few examples
Problem: Queries per second > 5000

Now: 4999 Resolved?
Problem: Disk space < 10%

Now: 10.05% Resolved?
Problem: MySQL is not available

Now: last check returned Up Resolved?
58
Different conditions for problem and
recovery
Before:
{MySQL_001:mysql.status[Questions].last()} > 5000
Better alternative:
Problem: {MySQL_001:mysql.status[Questions].last()} > 5000
Recovery: {MySQL_001:mysql.status[Questions].last()} < 3000
59
Several examples
System is overloaded
Problem: {MySQL_001:mysql.status[Questions].min(2m)} > 5000

Recovery: {MySQL_001:mysql.status[Questions].max(10m)} < 3000
MySQL server is not available



Problem: {MySQL_001:mysql.ping.max(#3)} = 0

Recovery: {MySQL_001:mysql.ping.min(#10)} = 1
60
No flapping. No false positives.
Suddenly we trust our monitoring!
61
Anomaly detection
Compare with a norm, where norm is system state in the past.
Average number of queries per second for the last hour is 2x less than number of
queries per second for the same period week ago
{HA Proxy:Questions.avg(1h)} < 2 * {HA Proxy:Questions.avg(1h,
7d)}
62
Problem forecasting
63
Problem Forecasting
64
0
12,5
25
37,5
50
7:00 8:00 9:00 10:00 11:00 12:00 13:00 14:00 15:00 16:00 17:00 18:00 19:00 20:00 21:00
y = -2,9455x + 48,309
Problem
10%
Trigger function timeleft()
??? hours
Trend Prediction
65
0
12,5
25
37,5
50
7:00 8:00 9:00 10:00 11:00 12:00 13:00 14:00 15:00 16:00 17:00 18:00 19:00 20:00 21:00
y = -2,9455x + 48,309
??? %
4 hours
Trigger function forecast()
How Zabbix reacts
on problems?
66
67
Possible reactions
• Automatic problem resolution
• Sending alerts to user and user group
• Opening tickets in Helpdesk systems
• Unlimited number of possible reactions
68
Escalate!
69
MySQL Cluster is
down Repeated Email
SMS and ticket in Helpdesk system
Restart HA Proxy
SMS to manager
5 min
10 min
15 min
20 min
0 min
Why Zabbix?
70
71
All-in-one solution
Trend prediction
Data collection
Problem
detection
Automatic
actions
Agent based
monitoring
Encryption
Anomaly
detection
Maintenance
Event
correlation
Scalability
Visualization
Auto discovery
Trigger
dependencies
Centralized
management
Service checks
IoT and
embedded
Distributed
monitoring
Zabbix API Alerting Escalations
User
permissions
Integration with
AD, OpenLDAP
LLD
Agent-less
monitoring
… and more
Focus on quality and ease of maintenance
72
All components are compatible within one major release
Virtually no third party dependencies
Zabbix Agents are backward compatible since Zabbix 1.0!
Benefits of Zabbix
Free and Open Source Software
Extremely flexible
Easy to adopt, use commercial services if needed
No License Fees
Extremely low TCO
No vendor lock in
73
share.zabbix.com
The Universal Open Source Enterprise Level Monitoring Solution
Thank you!
Twitter: @avladishev
Email: alex@zabbix.com
Learn more at Zabbix booth or www.zabbix.com

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