secrets to seeing it all; enterpise application performance management

SECRETS TO SEEING EVERYTHING

Lanir Shacham CEO & Founder

2013© correlsense

A NEED FOR ENTERPRISE APM

No bugs in the code

Database is fineWeb server

is up

Now what?

“Errors”

“It’s slow!”

Customers OperationsData Center

It’s not the network

Business

What is going on ?

2015®Correlsense

2013© correlsense

ENTERPRISE APM

3

Measure

32

54

Track Isolate

ReportServe

1

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1Measure real user experience

at every endpoint

42015®Correlsense

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at every endpoint

5

APM

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at every endpoint

62015®Correlsense

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at every endpoint

7

Enterprise

APM

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at every endpoint

8

Enterprise

APM

APM

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Track individual transactions

and maintain the

business/user context across

all hops

9

2

John

Purchase

Order

Ed

Account

Balance

Ken

Credit

Account

2015®Correlsense

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and maintain the


all hops

10

2

John

Purchase Order

ש

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and maintain the


all hops

11

2

John

Purchase Order

ש

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and maintain the


all hops

12

2

John

Purchase Order

ש

Ed

Account Balance

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and maintain the


all hops

13

2

John

Purchase Order

ש

Ed

Account Balance

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and maintain the


all hops

14

2

John

Purchase Order

ש

Ed

Account Balance

Ken

Credit Account

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and maintain the


all hops

15

2

John

Purchase Order

ש

Ed

Account Balance

Ken

Credit Account

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and maintain the


all hops

16

2

John

Purchase Order

ש

Ed

Account Balance

Ken

Credit Account

APM

APM

APMAPM

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and maintain the


all hops

17

2

John

Purchase Order

Ed

Account Balance

Ken

Credit Account

Enterpris

e

APM

Enterpris

e

APM

Enterpris

e

APM

Enterpris

e

APM

Enterpris

e

APM

Enterpris

e

APM

Enterpris

e

APM

Enterpris

e

APM

Enterpris

e

APM

Enterpris

e

APM

Enterpris

e

APM

Enterpris

e

APM

Enterpris

e

APM

Enterpris

e

APM

Enterpris

e

APM

Enterpris

e

APM

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Isolate sporadic problems

18

3

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19

3

Geographical areas

that get poor

service compared to

others

Specific times

of day that the

application is

failing

Function calls

within the code

that fail

or slow

And More…

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20

3

Geographical areas

that get poor

service compared to

others

Specific times

of day that the

application is

failing

Function calls

within the code

that fail

or slow

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Serve multiple teams within

the organization

21

4

Infrastructu

re

App Support

Capacity

Network

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The Company

23

Company HQ: Aba Even 8, Hertzlia Pituach, 46733 Israel Tel: 972 (0)9 956 9456

Regional: 100 Park Avenue, Suite 1600 New York, NY 10017 Tel: +1 866 682 9813 Fax: +1 212 214 0606

Tower 42 25 Old Broad Street London NW1 3BT United Kingdom Fax: +44 (0) 207 877 0708

2015®Correlsense

2013© correlsense

Operating System

Transactio

n

Tran

sact

ion

ExecutableProcess

Code

The Only Multi-Layered Metric

Collection, In User Context

Network

*Agent patent allowed 9/16/14

Apparatus and Method for Tracking

Requests in a Multi Threaded Multi

Tier Computerized Environment

2015®Correlsense

2013© correlsense

WEB SVR(.Net)

MQ/ESB(Native)

SERVER

APP SVR(Java)

PROXY SVR(C++)

LDAP

WebServices

SharePath Analytics

SharePathCollector

Observed Tier

DesktopInstrumentation

How Does it Work? System Function

Interception!

OS

Collector

Process

Transactio

n

Tran

sact

ion

Code

*Agent patent allowed 9/16/14

Apparatus and Method for Tracking

Requests in a Multi Threaded Multi

Tier Computerized Environment

2015®Correlsense

2013© correlsense

The “Secret Sauce”Patented Technology

1. Correlate an incoming request (into a executable) with an outgoing request

Monitored Executable

(e.g httpd.exe, java.exe)

2. Correlate an outgoing request from the executable with an incoming request to the next executable



1+2=3. Tracing a single transaction instance across multiple tiers

2015®Correlsense

Apparatus and Method for Tracking Requests in a Multi Threaded Multi Tier Computerized EnvironmentUS Patent Application No. 12/934,657

2013© correlsense

Technology Coverage

28

Time

TIBCO

2015201420132012201120102009

WMB/IIBJava and .NET Deep Dive

Oracle Forms/

EBusiness

Java/.NET

Core

Citrix

TCL

Tuxedo

C/C++

BHO

Documentum

PageTracker Ajax

OCI

Informix

DCOM

Rich Clients

PHP Deep Dive

MQ

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Server Scalability

29

Events20,000/sec.

10,000/sec.

5,000/sec.

1,000/sec.

Time

Release

3.6

Scale up

Scale out

(clusters)

3.5

3.0

Big Data

Architecture

4.0

Q1/2015

2015201420132012201120102009

2.6

Events2B/day

1B/day

500M/day

100M/day

2015®Correlsense