SlideShare a Scribd company logo
1 of 17
HELLO, WE ARE LOGMATIC!
February 2015
HELLO, THIS IS MR SMITH, A BRILLIANT IT
OPERATIONS MANAGER
find
improve
Everyday, he has to
ERROR /
FRAUD
PERF
understand
his system…
THE ONE THING HE’S GOT FOR THAT ARE
HIS LOGS
Search logs to find problems
Then search again
But that does not give him the
big picture
AND WITH A COMPLEX SYSTEM IT GETS
COMPLETELY OUT OF HAND
?
HIS PROBLEM : TOO MANY LOGS &
UNHAPPY PEOPLE
Fri	
  Apr	
  4	
  13:30:39.706	
  [conn3019]	
  
getmore	
  local.oplog.rs	
  query:	
  {	
  ts:	
  
{	
  $gte:	
  Timestamp	
  1396412669000|
2	
  }	
  }	
  cursorid:82400615847109211	
  
ntoreturn:0	
  keyUpdates:0	
  
numYields:	
  1	
  locks(micros)	
  r:526	
  
nreturned:2	
  reslen:680942	
  1408ms	
  	
  
Not Happy
????
HOW WOULD WE HELP MR SMITH?
Centralize & store all logs & machine events
Easy deployment & maintenance
Low resource consumption
Secure transmission & storage
Powerful answers adapted to him
Anomaly detection & action triggering
&
INTRODUCING LOGMATIC
Effortless: SaaS	
  &	
  data	
  parsing	
  online
Powerful: Business	
  Intelligence	
  Analy6cs
Elegant: outstanding	
  naviga6on	
  	
  
	
   	
   	
   	
   	
   	
  &	
  dataviz	
  	
  
WE PROVIDE
And search
in everything!
Dashboards Alerts Reports
.pdf
OUR CUSTOMERS BENEFITS
•  Great time reduction in troubleshooting
–  Root cause identification drops from hours to minutes
•  Roadmap for product improvement
–  Rank less efficient components of your applications (ex: java
classes with most errors)
•  Correlate & isolate system inefficiencies
–  Ex: Why my database is slow? Is it code or infrastructure issue?
•  Fraud detection
•  Improved collaboration between developers &
administrators
–  Share same data for analysis
–  Access logs in realtime without accessing machines
SENDING SOME DATA IS A PIECE OF CAKE
Customer’s servers Our cloud based
infrastructure
CTO, devops,
developers
Tomorrow, we’ll even
have business people.
We’ll tell you more…
alerts,
reports	
  
queries	
  
•  Centralises & parses all
data (text or JSON).
•  Fully hosted (SaaS)
•  Advanced analytics
•  Real-Time
•  Beautiful dataviz
•  Rapidfire answers
•  Simply send raw data
•  No capex or resources
needed
•  Secured connection
secured
connection	
  
SENDING SOME DATA FROM ANY APPS / OS
Customer’s applications Our cloud based
infrastructure
CTO, devops,
developers
Tomorrow, we’ll even
have business people.
We’ll tell you more…
alerts,
reports	
  
queries	
  
•  Centralises & parses all
data (text or JSON).
•  Fully hosted (SaaS)
•  Advanced analytics
•  Real-Time
•  Beautiful dataviz
•  Rapidfire answers
secured
connection	
  
UDP	
  
TCP	
  (SSL)	
  
HTTP(S)	
  
ALL YOUR SERVERS’ LOGS AT ONE PLACE
FILTER & SEARCH EFFICIENTLY
FULLY CUSTOMISABLE DASHBOARDS
SO WHY LOGMATIC.IO?
Get the best with minimum effort
Use already installed agents to send data to our SaaS platform
Outstanding user interface specialized for logs
Investigation and troubleshooting cannot be faster
Fast and easy to use
Alerts & dashboards defined in minutes
Parsing & structuration of the data made online:
Just send the raw data we take care of the rest
All your APPs and server monitoring in one place
We can extract and display metrics from text or JSON data
30 DAYS OF FREE TRIAL TO BE
CONVINCED
Go on http://logmatic.io/signup
logmatic.io
@logmatic_
hello@logmatic.io
We’d love to hear from you and answer the
questions you might have

More Related Content

What's hot

"Lost Stars" - Why Operators Switch Off IPv6
"Lost Stars" - Why Operators Switch Off IPv6"Lost Stars" - Why Operators Switch Off IPv6
"Lost Stars" - Why Operators Switch Off IPv6RIPE NCC
 
Splunk in Staples: IT Operations
Splunk in Staples: IT OperationsSplunk in Staples: IT Operations
Splunk in Staples: IT OperationsTimur Bagirov
 
Overview of Blue Medora - New Relic Plugin for HP Blade Servers
Overview of Blue Medora - New Relic Plugin for HP Blade ServersOverview of Blue Medora - New Relic Plugin for HP Blade Servers
Overview of Blue Medora - New Relic Plugin for HP Blade ServersBlue Medora
 
Liberate your Application Logging
Liberate your Application LoggingLiberate your Application Logging
Liberate your Application LoggingGlenn Block
 
Best of Conf21 - Apietsch
Best of Conf21 - ApietschBest of Conf21 - Apietsch
Best of Conf21 - ApietschSplunk
 
.conf21 Recommended Sessions
.conf21 Recommended Sessions.conf21 Recommended Sessions
.conf21 Recommended SessionsSplunk
 
Retrofitting HVAC system - how it works
Retrofitting HVAC system - how it worksRetrofitting HVAC system - how it works
Retrofitting HVAC system - how it worksClevAir
 
What's New in Puppet Enterprise 2016.1
What's New in Puppet Enterprise 2016.1 What's New in Puppet Enterprise 2016.1
What's New in Puppet Enterprise 2016.1 Hallie Exall
 
Monitoring at Facebook - Ran Leibman, Facebook - DevOpsDays Tel Aviv 2015
Monitoring at Facebook - Ran Leibman, Facebook - DevOpsDays Tel Aviv 2015Monitoring at Facebook - Ran Leibman, Facebook - DevOpsDays Tel Aviv 2015
Monitoring at Facebook - Ran Leibman, Facebook - DevOpsDays Tel Aviv 2015DevOpsDays Tel Aviv
 
Splunk Ninjas: New Features, Pivot, and Search Dojo
Splunk Ninjas: New Features, Pivot, and Search DojoSplunk Ninjas: New Features, Pivot, and Search Dojo
Splunk Ninjas: New Features, Pivot, and Search DojoSplunk
 
Customer Presentation - KCP&L
Customer Presentation - KCP&LCustomer Presentation - KCP&L
Customer Presentation - KCP&LSplunk
 
SplunkLive! Customer Presentation - Penn State Hershey Medical Center
SplunkLive! Customer Presentation - Penn State Hershey Medical CenterSplunkLive! Customer Presentation - Penn State Hershey Medical Center
SplunkLive! Customer Presentation - Penn State Hershey Medical CenterSplunk
 
Incident Management with Workflows
Incident Management with WorkflowsIncident Management with Workflows
Incident Management with WorkflowsPatrick Hoolboom
 
Nagios Conference 2012 - Nicolas Brousse - Optimizing your Monitoring and Tre...
Nagios Conference 2012 - Nicolas Brousse - Optimizing your Monitoring and Tre...Nagios Conference 2012 - Nicolas Brousse - Optimizing your Monitoring and Tre...
Nagios Conference 2012 - Nicolas Brousse - Optimizing your Monitoring and Tre...Nagios
 
Top-Down Approach to Monitoring
Top-Down Approach to MonitoringTop-Down Approach to Monitoring
Top-Down Approach to MonitoringBigPanda
 
Best of .conf21 Session Recommendations
Best of .conf21 Session RecommendationsBest of .conf21 Session Recommendations
Best of .conf21 Session RecommendationsSplunk
 
Taking Splunk to the Next Level - Architecture Breakout Session
Taking Splunk to the Next Level - Architecture Breakout SessionTaking Splunk to the Next Level - Architecture Breakout Session
Taking Splunk to the Next Level - Architecture Breakout SessionSplunk
 
Building an event system on top MongoDB
Building an event system on top MongoDBBuilding an event system on top MongoDB
Building an event system on top MongoDBBigPanda
 

What's hot (18)

"Lost Stars" - Why Operators Switch Off IPv6
"Lost Stars" - Why Operators Switch Off IPv6"Lost Stars" - Why Operators Switch Off IPv6
"Lost Stars" - Why Operators Switch Off IPv6
 
Splunk in Staples: IT Operations
Splunk in Staples: IT OperationsSplunk in Staples: IT Operations
Splunk in Staples: IT Operations
 
Overview of Blue Medora - New Relic Plugin for HP Blade Servers
Overview of Blue Medora - New Relic Plugin for HP Blade ServersOverview of Blue Medora - New Relic Plugin for HP Blade Servers
Overview of Blue Medora - New Relic Plugin for HP Blade Servers
 
Liberate your Application Logging
Liberate your Application LoggingLiberate your Application Logging
Liberate your Application Logging
 
Best of Conf21 - Apietsch
Best of Conf21 - ApietschBest of Conf21 - Apietsch
Best of Conf21 - Apietsch
 
.conf21 Recommended Sessions
.conf21 Recommended Sessions.conf21 Recommended Sessions
.conf21 Recommended Sessions
 
Retrofitting HVAC system - how it works
Retrofitting HVAC system - how it worksRetrofitting HVAC system - how it works
Retrofitting HVAC system - how it works
 
What's New in Puppet Enterprise 2016.1
What's New in Puppet Enterprise 2016.1 What's New in Puppet Enterprise 2016.1
What's New in Puppet Enterprise 2016.1
 
Monitoring at Facebook - Ran Leibman, Facebook - DevOpsDays Tel Aviv 2015
Monitoring at Facebook - Ran Leibman, Facebook - DevOpsDays Tel Aviv 2015Monitoring at Facebook - Ran Leibman, Facebook - DevOpsDays Tel Aviv 2015
Monitoring at Facebook - Ran Leibman, Facebook - DevOpsDays Tel Aviv 2015
 
Splunk Ninjas: New Features, Pivot, and Search Dojo
Splunk Ninjas: New Features, Pivot, and Search DojoSplunk Ninjas: New Features, Pivot, and Search Dojo
Splunk Ninjas: New Features, Pivot, and Search Dojo
 
Customer Presentation - KCP&L
Customer Presentation - KCP&LCustomer Presentation - KCP&L
Customer Presentation - KCP&L
 
SplunkLive! Customer Presentation - Penn State Hershey Medical Center
SplunkLive! Customer Presentation - Penn State Hershey Medical CenterSplunkLive! Customer Presentation - Penn State Hershey Medical Center
SplunkLive! Customer Presentation - Penn State Hershey Medical Center
 
Incident Management with Workflows
Incident Management with WorkflowsIncident Management with Workflows
Incident Management with Workflows
 
Nagios Conference 2012 - Nicolas Brousse - Optimizing your Monitoring and Tre...
Nagios Conference 2012 - Nicolas Brousse - Optimizing your Monitoring and Tre...Nagios Conference 2012 - Nicolas Brousse - Optimizing your Monitoring and Tre...
Nagios Conference 2012 - Nicolas Brousse - Optimizing your Monitoring and Tre...
 
Top-Down Approach to Monitoring
Top-Down Approach to MonitoringTop-Down Approach to Monitoring
Top-Down Approach to Monitoring
 
Best of .conf21 Session Recommendations
Best of .conf21 Session RecommendationsBest of .conf21 Session Recommendations
Best of .conf21 Session Recommendations
 
Taking Splunk to the Next Level - Architecture Breakout Session
Taking Splunk to the Next Level - Architecture Breakout SessionTaking Splunk to the Next Level - Architecture Breakout Session
Taking Splunk to the Next Level - Architecture Breakout Session
 
Building an event system on top MongoDB
Building an event system on top MongoDBBuilding an event system on top MongoDB
Building an event system on top MongoDB
 

Similar to Log Management Simplified with Logmatic

Moneytree - Data Aggregation with SWF
Moneytree - Data Aggregation with SWFMoneytree - Data Aggregation with SWF
Moneytree - Data Aggregation with SWFRoss Sharrott
 
AWS re:Invent 2016: Automating Workflows for Analytics Pipelines (DEV401)
AWS re:Invent 2016: Automating Workflows for Analytics Pipelines (DEV401)AWS re:Invent 2016: Automating Workflows for Analytics Pipelines (DEV401)
AWS re:Invent 2016: Automating Workflows for Analytics Pipelines (DEV401)Amazon Web Services
 
Information Security: Advanced SIEM Techniques
Information Security: Advanced SIEM TechniquesInformation Security: Advanced SIEM Techniques
Information Security: Advanced SIEM TechniquesReliaQuest
 
Application Performance Troubleshooting 1x1 - Part 2 - Noch mehr Schweine und...
Application Performance Troubleshooting 1x1 - Part 2 - Noch mehr Schweine und...Application Performance Troubleshooting 1x1 - Part 2 - Noch mehr Schweine und...
Application Performance Troubleshooting 1x1 - Part 2 - Noch mehr Schweine und...rschuppe
 
The Incremental Path to Observability
The Incremental Path to ObservabilityThe Incremental Path to Observability
The Incremental Path to ObservabilityEmily Nakashima
 
A Data Culture with Embedded Analytics in Action
A Data Culture with Embedded Analytics in ActionA Data Culture with Embedded Analytics in Action
A Data Culture with Embedded Analytics in ActionAmazon Web Services
 
Business Intelligence with SQL Server
Business Intelligence with SQL ServerBusiness Intelligence with SQL Server
Business Intelligence with SQL ServerPeter Gfader
 
Powering Real-Time Decisions with Continuous Data Streams
Powering Real-Time Decisions with Continuous Data StreamsPowering Real-Time Decisions with Continuous Data Streams
Powering Real-Time Decisions with Continuous Data StreamsSafe Software
 
Ingesting Click Data for Analytics
Ingesting Click Data for AnalyticsIngesting Click Data for Analytics
Ingesting Click Data for AnalyticsClickMeter
 
From nothing to Prometheus : one year after
From nothing to Prometheus : one year afterFrom nothing to Prometheus : one year after
From nothing to Prometheus : one year afterAntoine Leroyer
 
WSO2Con ASIA 2016: Patterns for Deploying Analytics in the Real World
WSO2Con ASIA 2016: Patterns for Deploying Analytics in the Real WorldWSO2Con ASIA 2016: Patterns for Deploying Analytics in the Real World
WSO2Con ASIA 2016: Patterns for Deploying Analytics in the Real WorldWSO2
 
Building a scalable analytics environment to support diverse workloads
Building a scalable analytics environment to support diverse workloadsBuilding a scalable analytics environment to support diverse workloads
Building a scalable analytics environment to support diverse workloadsAlluxio, Inc.
 
DATABASE AUTOMATION with Thousands of database, monitoring and backup
DATABASE AUTOMATION with Thousands of database, monitoring and backupDATABASE AUTOMATION with Thousands of database, monitoring and backup
DATABASE AUTOMATION with Thousands of database, monitoring and backupSaewoong Lee
 
Introduction to Streaming Analytics
Introduction to Streaming AnalyticsIntroduction to Streaming Analytics
Introduction to Streaming AnalyticsGuido Schmutz
 
DataSeers - An HPCC Systems platform for Financial Analysis
DataSeers - An HPCC Systems platform for Financial AnalysisDataSeers - An HPCC Systems platform for Financial Analysis
DataSeers - An HPCC Systems platform for Financial AnalysisHPCC Systems
 
AMB110: IT Asset Management – How to Start When You Don’t Know Where to Start
AMB110: IT Asset Management – How to Start When You Don’t Know Where to StartAMB110: IT Asset Management – How to Start When You Don’t Know Where to Start
AMB110: IT Asset Management – How to Start When You Don’t Know Where to StartIvanti
 
FSI201 FINRA’s Managed Data Lake – Next Gen Analytics in the Cloud
FSI201 FINRA’s Managed Data Lake – Next Gen Analytics in the CloudFSI201 FINRA’s Managed Data Lake – Next Gen Analytics in the Cloud
FSI201 FINRA’s Managed Data Lake – Next Gen Analytics in the CloudAmazon Web Services
 

Similar to Log Management Simplified with Logmatic (20)

Moneytree - Data Aggregation with SWF
Moneytree - Data Aggregation with SWFMoneytree - Data Aggregation with SWF
Moneytree - Data Aggregation with SWF
 
AWS re:Invent 2016: Automating Workflows for Analytics Pipelines (DEV401)
AWS re:Invent 2016: Automating Workflows for Analytics Pipelines (DEV401)AWS re:Invent 2016: Automating Workflows for Analytics Pipelines (DEV401)
AWS re:Invent 2016: Automating Workflows for Analytics Pipelines (DEV401)
 
Information Security: Advanced SIEM Techniques
Information Security: Advanced SIEM TechniquesInformation Security: Advanced SIEM Techniques
Information Security: Advanced SIEM Techniques
 
Application Performance Troubleshooting 1x1 - Part 2 - Noch mehr Schweine und...
Application Performance Troubleshooting 1x1 - Part 2 - Noch mehr Schweine und...Application Performance Troubleshooting 1x1 - Part 2 - Noch mehr Schweine und...
Application Performance Troubleshooting 1x1 - Part 2 - Noch mehr Schweine und...
 
The Incremental Path to Observability
The Incremental Path to ObservabilityThe Incremental Path to Observability
The Incremental Path to Observability
 
A Data Culture with Embedded Analytics in Action
A Data Culture with Embedded Analytics in ActionA Data Culture with Embedded Analytics in Action
A Data Culture with Embedded Analytics in Action
 
Ingesting click events for analytics
Ingesting click events for analyticsIngesting click events for analytics
Ingesting click events for analytics
 
Business Intelligence with SQL Server
Business Intelligence with SQL ServerBusiness Intelligence with SQL Server
Business Intelligence with SQL Server
 
SAST Managed Services for SAP [Webinar]
SAST Managed Services for SAP [Webinar]SAST Managed Services for SAP [Webinar]
SAST Managed Services for SAP [Webinar]
 
Powering Real-Time Decisions with Continuous Data Streams
Powering Real-Time Decisions with Continuous Data StreamsPowering Real-Time Decisions with Continuous Data Streams
Powering Real-Time Decisions with Continuous Data Streams
 
Ingesting Click Data for Analytics
Ingesting Click Data for AnalyticsIngesting Click Data for Analytics
Ingesting Click Data for Analytics
 
From nothing to Prometheus : one year after
From nothing to Prometheus : one year afterFrom nothing to Prometheus : one year after
From nothing to Prometheus : one year after
 
WSO2Con ASIA 2016: Patterns for Deploying Analytics in the Real World
WSO2Con ASIA 2016: Patterns for Deploying Analytics in the Real WorldWSO2Con ASIA 2016: Patterns for Deploying Analytics in the Real World
WSO2Con ASIA 2016: Patterns for Deploying Analytics in the Real World
 
Building a scalable analytics environment to support diverse workloads
Building a scalable analytics environment to support diverse workloadsBuilding a scalable analytics environment to support diverse workloads
Building a scalable analytics environment to support diverse workloads
 
DATABASE AUTOMATION with Thousands of database, monitoring and backup
DATABASE AUTOMATION with Thousands of database, monitoring and backupDATABASE AUTOMATION with Thousands of database, monitoring and backup
DATABASE AUTOMATION with Thousands of database, monitoring and backup
 
Introduction to Streaming Analytics
Introduction to Streaming AnalyticsIntroduction to Streaming Analytics
Introduction to Streaming Analytics
 
DataSeers - An HPCC Systems platform for Financial Analysis
DataSeers - An HPCC Systems platform for Financial AnalysisDataSeers - An HPCC Systems platform for Financial Analysis
DataSeers - An HPCC Systems platform for Financial Analysis
 
AMB110: IT Asset Management – How to Start When You Don’t Know Where to Start
AMB110: IT Asset Management – How to Start When You Don’t Know Where to StartAMB110: IT Asset Management – How to Start When You Don’t Know Where to Start
AMB110: IT Asset Management – How to Start When You Don’t Know Where to Start
 
FSI201 FINRA’s Managed Data Lake – Next Gen Analytics in the Cloud
FSI201 FINRA’s Managed Data Lake – Next Gen Analytics in the CloudFSI201 FINRA’s Managed Data Lake – Next Gen Analytics in the Cloud
FSI201 FINRA’s Managed Data Lake – Next Gen Analytics in the Cloud
 
Big Data and Fast Data combined – is it possible?
Big Data and Fast Data combined – is it possible?Big Data and Fast Data combined – is it possible?
Big Data and Fast Data combined – is it possible?
 

Recently uploaded

Russian Call Girls in Karol Bagh Aasnvi ➡️ 8264348440 💋📞 Independent Escort S...
Russian Call Girls in Karol Bagh Aasnvi ➡️ 8264348440 💋📞 Independent Escort S...Russian Call Girls in Karol Bagh Aasnvi ➡️ 8264348440 💋📞 Independent Escort S...
Russian Call Girls in Karol Bagh Aasnvi ➡️ 8264348440 💋📞 Independent Escort S...soniya singh
 
Project Based Learning (A.I).pptx detail explanation
Project Based Learning (A.I).pptx detail explanationProject Based Learning (A.I).pptx detail explanation
Project Based Learning (A.I).pptx detail explanationkaushalgiri8080
 
Asset Management Software - Infographic
Asset Management Software - InfographicAsset Management Software - Infographic
Asset Management Software - InfographicHr365.us smith
 
Adobe Marketo Engage Deep Dives: Using Webhooks to Transfer Data
Adobe Marketo Engage Deep Dives: Using Webhooks to Transfer DataAdobe Marketo Engage Deep Dives: Using Webhooks to Transfer Data
Adobe Marketo Engage Deep Dives: Using Webhooks to Transfer DataBradBedford3
 
Hand gesture recognition PROJECT PPT.pptx
Hand gesture recognition PROJECT PPT.pptxHand gesture recognition PROJECT PPT.pptx
Hand gesture recognition PROJECT PPT.pptxbodapatigopi8531
 
Learn the Fundamentals of XCUITest Framework_ A Beginner's Guide.pdf
Learn the Fundamentals of XCUITest Framework_ A Beginner's Guide.pdfLearn the Fundamentals of XCUITest Framework_ A Beginner's Guide.pdf
Learn the Fundamentals of XCUITest Framework_ A Beginner's Guide.pdfkalichargn70th171
 
Cloud Management Software Platforms: OpenStack
Cloud Management Software Platforms: OpenStackCloud Management Software Platforms: OpenStack
Cloud Management Software Platforms: OpenStackVICTOR MAESTRE RAMIREZ
 
The Evolution of Karaoke From Analog to App.pdf
The Evolution of Karaoke From Analog to App.pdfThe Evolution of Karaoke From Analog to App.pdf
The Evolution of Karaoke From Analog to App.pdfPower Karaoke
 
Optimizing AI for immediate response in Smart CCTV
Optimizing AI for immediate response in Smart CCTVOptimizing AI for immediate response in Smart CCTV
Optimizing AI for immediate response in Smart CCTVshikhaohhpro
 
Steps To Getting Up And Running Quickly With MyTimeClock Employee Scheduling ...
Steps To Getting Up And Running Quickly With MyTimeClock Employee Scheduling ...Steps To Getting Up And Running Quickly With MyTimeClock Employee Scheduling ...
Steps To Getting Up And Running Quickly With MyTimeClock Employee Scheduling ...MyIntelliSource, Inc.
 
DNT_Corporate presentation know about us
DNT_Corporate presentation know about usDNT_Corporate presentation know about us
DNT_Corporate presentation know about usDynamic Netsoft
 
The Real-World Challenges of Medical Device Cybersecurity- Mitigating Vulnera...
The Real-World Challenges of Medical Device Cybersecurity- Mitigating Vulnera...The Real-World Challenges of Medical Device Cybersecurity- Mitigating Vulnera...
The Real-World Challenges of Medical Device Cybersecurity- Mitigating Vulnera...ICS
 
Professional Resume Template for Software Developers
Professional Resume Template for Software DevelopersProfessional Resume Template for Software Developers
Professional Resume Template for Software DevelopersVinodh Ram
 
cybersecurity notes for mca students for learning
cybersecurity notes for mca students for learningcybersecurity notes for mca students for learning
cybersecurity notes for mca students for learningVitsRangannavar
 
Salesforce Certified Field Service Consultant
Salesforce Certified Field Service ConsultantSalesforce Certified Field Service Consultant
Salesforce Certified Field Service ConsultantAxelRicardoTrocheRiq
 
What is Fashion PLM and Why Do You Need It
What is Fashion PLM and Why Do You Need ItWhat is Fashion PLM and Why Do You Need It
What is Fashion PLM and Why Do You Need ItWave PLM
 
KnowAPIs-UnknownPerf-jaxMainz-2024 (1).pptx
KnowAPIs-UnknownPerf-jaxMainz-2024 (1).pptxKnowAPIs-UnknownPerf-jaxMainz-2024 (1).pptx
KnowAPIs-UnknownPerf-jaxMainz-2024 (1).pptxTier1 app
 
ODSC - Batch to Stream workshop - integration of Apache Spark, Cassandra, Pos...
ODSC - Batch to Stream workshop - integration of Apache Spark, Cassandra, Pos...ODSC - Batch to Stream workshop - integration of Apache Spark, Cassandra, Pos...
ODSC - Batch to Stream workshop - integration of Apache Spark, Cassandra, Pos...Christina Lin
 
Der Spagat zwischen BIAS und FAIRNESS (2024)
Der Spagat zwischen BIAS und FAIRNESS (2024)Der Spagat zwischen BIAS und FAIRNESS (2024)
Der Spagat zwischen BIAS und FAIRNESS (2024)OPEN KNOWLEDGE GmbH
 

Recently uploaded (20)

Russian Call Girls in Karol Bagh Aasnvi ➡️ 8264348440 💋📞 Independent Escort S...
Russian Call Girls in Karol Bagh Aasnvi ➡️ 8264348440 💋📞 Independent Escort S...Russian Call Girls in Karol Bagh Aasnvi ➡️ 8264348440 💋📞 Independent Escort S...
Russian Call Girls in Karol Bagh Aasnvi ➡️ 8264348440 💋📞 Independent Escort S...
 
Project Based Learning (A.I).pptx detail explanation
Project Based Learning (A.I).pptx detail explanationProject Based Learning (A.I).pptx detail explanation
Project Based Learning (A.I).pptx detail explanation
 
Asset Management Software - Infographic
Asset Management Software - InfographicAsset Management Software - Infographic
Asset Management Software - Infographic
 
Adobe Marketo Engage Deep Dives: Using Webhooks to Transfer Data
Adobe Marketo Engage Deep Dives: Using Webhooks to Transfer DataAdobe Marketo Engage Deep Dives: Using Webhooks to Transfer Data
Adobe Marketo Engage Deep Dives: Using Webhooks to Transfer Data
 
Hand gesture recognition PROJECT PPT.pptx
Hand gesture recognition PROJECT PPT.pptxHand gesture recognition PROJECT PPT.pptx
Hand gesture recognition PROJECT PPT.pptx
 
Learn the Fundamentals of XCUITest Framework_ A Beginner's Guide.pdf
Learn the Fundamentals of XCUITest Framework_ A Beginner's Guide.pdfLearn the Fundamentals of XCUITest Framework_ A Beginner's Guide.pdf
Learn the Fundamentals of XCUITest Framework_ A Beginner's Guide.pdf
 
Cloud Management Software Platforms: OpenStack
Cloud Management Software Platforms: OpenStackCloud Management Software Platforms: OpenStack
Cloud Management Software Platforms: OpenStack
 
The Evolution of Karaoke From Analog to App.pdf
The Evolution of Karaoke From Analog to App.pdfThe Evolution of Karaoke From Analog to App.pdf
The Evolution of Karaoke From Analog to App.pdf
 
Optimizing AI for immediate response in Smart CCTV
Optimizing AI for immediate response in Smart CCTVOptimizing AI for immediate response in Smart CCTV
Optimizing AI for immediate response in Smart CCTV
 
Call Girls In Mukherjee Nagar 📱 9999965857 🤩 Delhi 🫦 HOT AND SEXY VVIP 🍎 SE...
Call Girls In Mukherjee Nagar 📱  9999965857  🤩 Delhi 🫦 HOT AND SEXY VVIP 🍎 SE...Call Girls In Mukherjee Nagar 📱  9999965857  🤩 Delhi 🫦 HOT AND SEXY VVIP 🍎 SE...
Call Girls In Mukherjee Nagar 📱 9999965857 🤩 Delhi 🫦 HOT AND SEXY VVIP 🍎 SE...
 
Steps To Getting Up And Running Quickly With MyTimeClock Employee Scheduling ...
Steps To Getting Up And Running Quickly With MyTimeClock Employee Scheduling ...Steps To Getting Up And Running Quickly With MyTimeClock Employee Scheduling ...
Steps To Getting Up And Running Quickly With MyTimeClock Employee Scheduling ...
 
DNT_Corporate presentation know about us
DNT_Corporate presentation know about usDNT_Corporate presentation know about us
DNT_Corporate presentation know about us
 
The Real-World Challenges of Medical Device Cybersecurity- Mitigating Vulnera...
The Real-World Challenges of Medical Device Cybersecurity- Mitigating Vulnera...The Real-World Challenges of Medical Device Cybersecurity- Mitigating Vulnera...
The Real-World Challenges of Medical Device Cybersecurity- Mitigating Vulnera...
 
Professional Resume Template for Software Developers
Professional Resume Template for Software DevelopersProfessional Resume Template for Software Developers
Professional Resume Template for Software Developers
 
cybersecurity notes for mca students for learning
cybersecurity notes for mca students for learningcybersecurity notes for mca students for learning
cybersecurity notes for mca students for learning
 
Salesforce Certified Field Service Consultant
Salesforce Certified Field Service ConsultantSalesforce Certified Field Service Consultant
Salesforce Certified Field Service Consultant
 
What is Fashion PLM and Why Do You Need It
What is Fashion PLM and Why Do You Need ItWhat is Fashion PLM and Why Do You Need It
What is Fashion PLM and Why Do You Need It
 
KnowAPIs-UnknownPerf-jaxMainz-2024 (1).pptx
KnowAPIs-UnknownPerf-jaxMainz-2024 (1).pptxKnowAPIs-UnknownPerf-jaxMainz-2024 (1).pptx
KnowAPIs-UnknownPerf-jaxMainz-2024 (1).pptx
 
ODSC - Batch to Stream workshop - integration of Apache Spark, Cassandra, Pos...
ODSC - Batch to Stream workshop - integration of Apache Spark, Cassandra, Pos...ODSC - Batch to Stream workshop - integration of Apache Spark, Cassandra, Pos...
ODSC - Batch to Stream workshop - integration of Apache Spark, Cassandra, Pos...
 
Der Spagat zwischen BIAS und FAIRNESS (2024)
Der Spagat zwischen BIAS und FAIRNESS (2024)Der Spagat zwischen BIAS und FAIRNESS (2024)
Der Spagat zwischen BIAS und FAIRNESS (2024)
 

Log Management Simplified with Logmatic

  • 1. HELLO, WE ARE LOGMATIC! February 2015
  • 2. HELLO, THIS IS MR SMITH, A BRILLIANT IT OPERATIONS MANAGER find improve Everyday, he has to ERROR / FRAUD PERF understand his system…
  • 3. THE ONE THING HE’S GOT FOR THAT ARE HIS LOGS Search logs to find problems Then search again But that does not give him the big picture
  • 4. AND WITH A COMPLEX SYSTEM IT GETS COMPLETELY OUT OF HAND ?
  • 5. HIS PROBLEM : TOO MANY LOGS & UNHAPPY PEOPLE Fri  Apr  4  13:30:39.706  [conn3019]   getmore  local.oplog.rs  query:  {  ts:   {  $gte:  Timestamp  1396412669000| 2  }  }  cursorid:82400615847109211   ntoreturn:0  keyUpdates:0   numYields:  1  locks(micros)  r:526   nreturned:2  reslen:680942  1408ms     Not Happy ????
  • 6. HOW WOULD WE HELP MR SMITH? Centralize & store all logs & machine events Easy deployment & maintenance Low resource consumption Secure transmission & storage Powerful answers adapted to him Anomaly detection & action triggering &
  • 7. INTRODUCING LOGMATIC Effortless: SaaS  &  data  parsing  online Powerful: Business  Intelligence  Analy6cs Elegant: outstanding  naviga6on                &  dataviz    
  • 8. WE PROVIDE And search in everything! Dashboards Alerts Reports .pdf
  • 9. OUR CUSTOMERS BENEFITS •  Great time reduction in troubleshooting –  Root cause identification drops from hours to minutes •  Roadmap for product improvement –  Rank less efficient components of your applications (ex: java classes with most errors) •  Correlate & isolate system inefficiencies –  Ex: Why my database is slow? Is it code or infrastructure issue? •  Fraud detection •  Improved collaboration between developers & administrators –  Share same data for analysis –  Access logs in realtime without accessing machines
  • 10. SENDING SOME DATA IS A PIECE OF CAKE Customer’s servers Our cloud based infrastructure CTO, devops, developers Tomorrow, we’ll even have business people. We’ll tell you more… alerts, reports   queries   •  Centralises & parses all data (text or JSON). •  Fully hosted (SaaS) •  Advanced analytics •  Real-Time •  Beautiful dataviz •  Rapidfire answers •  Simply send raw data •  No capex or resources needed •  Secured connection secured connection  
  • 11. SENDING SOME DATA FROM ANY APPS / OS Customer’s applications Our cloud based infrastructure CTO, devops, developers Tomorrow, we’ll even have business people. We’ll tell you more… alerts, reports   queries   •  Centralises & parses all data (text or JSON). •  Fully hosted (SaaS) •  Advanced analytics •  Real-Time •  Beautiful dataviz •  Rapidfire answers secured connection   UDP   TCP  (SSL)   HTTP(S)  
  • 12. ALL YOUR SERVERS’ LOGS AT ONE PLACE
  • 13. FILTER & SEARCH EFFICIENTLY
  • 15. SO WHY LOGMATIC.IO? Get the best with minimum effort Use already installed agents to send data to our SaaS platform Outstanding user interface specialized for logs Investigation and troubleshooting cannot be faster Fast and easy to use Alerts & dashboards defined in minutes Parsing & structuration of the data made online: Just send the raw data we take care of the rest All your APPs and server monitoring in one place We can extract and display metrics from text or JSON data
  • 16. 30 DAYS OF FREE TRIAL TO BE CONVINCED Go on http://logmatic.io/signup
  • 17. logmatic.io @logmatic_ hello@logmatic.io We’d love to hear from you and answer the questions you might have