onTune SPI

Distinctions from The Others

Contents

onTune distinctions

Case Study3

Comparison data with other solutions2

1

Collecting & providing system performance data with real-time

Providing data chart with realtime Collecting & providing event data with realtime Notifying alert to users with realtime

1 Realtime performance monitoring

Collecting the performance data of all the system re-sources

All the system data collected without customizing Extra data collected through customizing

2 Collecting various performance data

Lookup for past data in single screens Available to apply same data to every chart Keeping past performance data by second

3 Lookup for past data

By providing quick & accurate data, the causes of issues are revealed

Storing all the data, users can get data needed in anytime & anywhere

4 Handling issues

Every chart and data on the screen can be documented Reporting tool provided Easy to use with promptness

5 Reporting tool

VIO, Micro Partition monitoring 6 IBM virtualization supporting

No solution available for realtime monitoring

The others need customizing according to policy

It is impossible for 5min, 10min data to pro-vide distinctive data

No solution available to monitor IBM virtual-ization

Not available for the others to save past data by second unit

It takes huge time and effort for the others to make performance data

1. Realtime Monitoring

The strongest feature OnTune has is realtime monitoring by second, which the other solutions are not able to support. With the feature, OnTune provides more accurate and prompt data than any other solutions provide.

In addition to performance analysis, when issues happen, OnTune provides proper data so that users can analyze accurate causes of issues.

Even event occurrence is notified to users with realtime so that OnTune can inform issues to the users sooner than the other so-lutions

Shows system information by seconds

1 minute

10 minutes

What make a difference!

2 seconds

* The difference between second-unit monitoring and minute-unit monitoring

2. Collecting various performance data

OnTune collects currently all the system performance data without any customizing. So, it supports analysis unexpected bottle-neck or performance issues.

Because all the data of resources can be compared and analyzed even at the time issues happen, OnTune can provide the most accurate data to know the causes of issues.

Without extra customizing,

performance data of system

resources being composed &

collected automatically.

3. Lookup for past data

It is easy for OnTune to analyze past data because it stores the data of last time by senconds.

Above all, it contribute a convenient feature which past data and current data are compared on a single screen so that users can analyze easily.

Choose a certain time of

past

The realtime graph is

being continually

marked

The past graph emerges

4. Handling issues

When a issue happens, operators need data as much as possible to figure out the causes. OnTune is the best alternative. It stores every log occurring in system resources, and the data is stored by seconds so that even very short time issue can be de-livered to operators.

Ontune sends alerts about event with realtime, so it notifies operators events occurring in system more promptly and accurately than any other solutions

OnTune also stores long-term data , so users can confirm the subtle changes for a long period. This is a crucial role for analyzing issues and finding the causes of issues.

With long-term data, the

suspicious time for is-

sues can be checked

Check the detailed time

Various items can be com-

pared in a single screen

5. Reporting Tool

onTune reporting tool helps operators to save time and efforts for making performance data , so it is available to invest the time and effort to the other valuable things

All the data and graphs shown on the screen can be stored as xls or ppt file through OnTune. The strong and intuitive reporting tool makes operators save time a lot, and help them to watch performance data and to make reports easily with simple control in case of emergency.

Actually, system operators spend lots of time for making reports. However, OnTune reduces the time for reports dramatically so that operators can focus on the valuable business.

Function OnTune Patrol HP OpenView IBM Tivoli

Real time monitoring by the second O

Log collecting interval getting longer if objects are

numerous

Log collecting interval getting longer if objects

are numerous

Log collecting cycles getting longer if

objects are numerous

OS parameter monitoring2) O X X X

Configuration of monitoring interval individually by system groups3) O O O O

Creating performance statistic data without limit time interval(second ~

year)O X X X

Performance reports available4) O

Customizing needed

(High cost)

Customizing needed

(High cost)

Customizing needed (High cost)

Less resources consumption for Agents5)

(CPU: less1 than 1%, Memory: Less than 20Mbyte)

OX

Depends on the objects’ number

X

Depends on the objects’ number

X

Depends on the objects’ number

Infra expense for installation LowHigh

Customizing needed in most cases

High

Customizing needed in most cases

High

Customizing needed in most cases

onTune vs. BMC Patrol / HP OpenView / IBM Tivoli (I)

1) Available to monitor objects in the second- Generally other solutions take 30sec~ few minuet for monitoring, and the interval get longer as objects increase in num-ber2) Easy to confirm the factors affecting performance of servers by managing OS configuration value (OS parameter)3) Available to make groups with business service or productions/developers/tests in terms of servers, and set monitoring interval for the each group individually4) Available to make performance or issues reports for days, weeks, and months through excel and PPT with simple clicks.5) Despite of performing real time monitoring in the second, Ontune shows that agents use only small part of CPUs.

Functions OnTune Patrol HP OpenView IBM Tivoli

Monitoring CPU/Memory/IO of PID6) O X X X

Monitoring CPU/Memory/IO of a process by Command7) O X X X

Monitoring CPU/Memory/IO of a process by Users8) O X X X

Monitoring Memory Leak of a process9) O

PSMD Monitoring10) O X X X

Monitoring for usage of individual Adapters (Network, FC Adapter)

O X X X

Monitoring usage of individual physical disks O X X X

Monitoring for Volume Groups and Assigned disks O X X X

Monitoring Veritas Volume Manager O X X X

Easy monitoring and analysis, so training is not needed

O

Intuitive interface, ease to use

X

Special training needed for complex

UI

X

Special training needed for complex UI

X

Special training needed for complex UI

IBM virtualization monitoring11) O X X X

onTune vs. BMC Patrol / HP OpenView / IBM Tivoli (II)

6) Once agents are installed , Ontune performs monitoring for performance resources usage (CPU / Memory / IO) of all processes without extra setting. 7) Once agents are installed , Ontune performs monitoring for performance resources usage (CPU / Memory / IO) according to users’ command groups ( i.e. All the java processes of webwas users) without extra setting. 8) Once agents are installed , Ontune performs monitoring for performance resources usage (CPU / Memory / IO) according to users (i.e. accounts of -was, root, or oracle) without extra setting. 9) As a function explained in 6), when memory leakage is suspicious in a certain server, it is possible to diagnose which process makes trouble and when it is started

through history analysis about memory usage of each process. 10) Available to monitor Promotion/Demotion of IBM AIX’s Multi Page Memory Pool (4K/64K)11) Available to monitor CPU/Memory Pool , VIO’s performance for IBM virtualized servers

OnTune Case Study

Migrating servers from HP to IBM, CPU usage increased abnormally.

Case study as a breakthrough for performance issue 1

OnTune discovered the CPU reached the peak every 20 seconds showing letter ‘M’, and we notified that to the develop-

ers so that they can realize hinit and fix the logic.

Large scale business like migration desperately needs monitoring on systems and performance.

Without OnTune monitoring by second, the pattern explained above cannot be recognized. If possible, it takes many

hours or days to collect log files, convert and analyze data.

This case is a proper example proving that OnTune provides realtime data to diagnose issues immediately.

Short term performance degradation emerged on a DB server

Monitoring critical system and confirming issues2

OnTune figured out the system call and interrupt decreased rapidly in 2~3 seconds and the symptom repeated every min-

uet. Based on the data OnTune provided, the company fixed the bug between Hypervisor and OS on communication.

The other solutions are not able to collect the data such as system call or interrupt, so those solutions have trouble with

confirm the cause of performance degradation.

Moreover, this kind of log files occurring instantly cannot be caught by other solutions which are impossible to monitor with

realtime.

OnTune Case Study

Finding out the memory leakage of ERP system

Memory leakage for long term3

Memory of a system increased 30% consistently for 3 months. The operators figured out the certain process causing

memory increase through OnTune’s long-term data.

OnTune helps users to analyze long-term progress, keeping data of each process.

The case explained above is a good example as prevention keeping every detailed data for long-term.

OnTune Case Study

Primary system crash occurred and then secondary system crash in Oracle DB composed with H/A system.

Confirming the issues of High Availability System4

By comparing system data of both side, OnTune confirmed the memory usage of demon monitoring dual system had

been increasing right before the issue emerged, and the pattern of the issue occurring in specific time ( when the process

memory reaches 1.2GB). Based on the data, users could check the bug and fixed it.

The data can be checked easily after issues happen because OnTune collects all the data about all the resources of sys-

tem.

The case indicates that OnTune checked memory data of PID until right before the issue happened so that it can analyze

the cause of issues.

OnTune Case Study

Oracle server showed sudden time-out and process delay

Case of Time-out occurred in DB server5

Users compared and analyzed the usage and throughput of individual disks via OnTune, and then discovered the disk

busy increased despite of little I/O amount. In addition, they confirmed the composition of external disk and realized the

issue was caused by I/O occurring in LUN of physical disk

This case proves that OnTune analyzes each disk’s IO/Busy in a single chart containing many servers.

OnTune Case Study

CPU performance issue in composition of Micro-Partition

A CPU performance issue in IBM’s Micro-Partition6

A certain partition of MP showed CPU performance degradation. With onTune monitoring CPU pool, users confirmed that

the certain partition interrupted other partitions not to be assigned resources. Based on the data, resource distribution

was adjusted by the users.

OnTune is the only solution available to monitor IBM’s Micro-Partition , so the other solutions are not able to solve the is-

sue explained above, even monitoring VIOS is impossible for them.

Through the function, OnTune can check efficient CPU resource and usage.

OnTune Case Study

After replacing old system, confirming tuning point of system configuration

System configuration issue after replacing legacy system.7

After migration, OS parameter was initialized, so users needed the optimal configuration value for the OS parameter.

Because OnTune keeps system parameter regularly, users can decide the proper OS parameter for the new system by

comparing previous one and other system.

OnTune provides lots of convenient functions to operators. Amid it keeps system parameter, users can check if the set

point changes or not.

Moreover, in case of adding similar systems, users can define standard configuration by confirming other system configu-

ration.

OnTune Case Study

Case of sudden DB process down in Sybase DB

DB Process went down in huge data DB8

With OnTune confirming the data of the issue time, users realized a log analysis process suddenly occupied Memory to

use, and system closed unstably with the amount of Memory lost by a DB process.

After notifying the Owner of analysis process and time to the operator, the process was moved to other system.

As a case of OnTune finding the issue by comparing each resource’s usage, the exact time and resources’ move can be

compared at the same time, and also even the Owner of each process and execution option can be checked. Therefore,

system operators are able to solve issues in short time.

In addition, migration considering resources of systems is possible because users can know the amount of resources

which processes need.

OnTune Case Study

System monitoring available for the large-sized HP system (94core, MEM 500GB, Disk 20000EA) by OnTune

Monitoring a large-sized system for new launching9

System resources getting more multiple and larger, the existing dash-boards or SMS can’t provide monitoring. However, it

is possible for OnTune to monitor the systems intensively by installing Agents only without any configuration or customiz-

ing.

In the case of opening the large-sized system, the existing monitoring system can’t monitor all the resources with defined

items by system. In the other hands, OnTune doesn’t need to do extra customizing , and it can monitor every single re-

source of system with simple agent installation. Therefore, the launching new system has been done successfully with

OnTune monitoring critical data and performance indicators.

OnTune Case Study