SlideShare uma empresa Scribd logo
1 de 9
Baixar para ler offline
CAP 
Detects suspicious events in log 
files 
service introduction, October 2014 
www.capdatasolu,ons.com
Customer problem 
Anything unusual or noteworthy in 
my server log files ? 
www.capdatasolu,ons.com
CAP picks up the weird events 
for you from the mass 
Only 
those 
few 
events 
that 
differ 
from 
the 
usual 
opera,ons
Why CAP? 
• Our customer wants 
– to find valuable information hidden in huge 
amounts of (typically under-utilized) data 
– to find indications of possible security threats 
– to use log file information in DevOps and 
other IT operations or in software 
development processes 
www.capdatasolu,ons.com
• CAP service is 
The CAP promise 
– a B2B cloud service for log file analytics to server admins, 
hosting companies and DevOps 
– Easily deployable cloud service that detects the valuable 
events in massive data volumes 
• Customer benefits 
– Focus the attention to few important events in data 
– CAP radically raises the business value of the data 
– CAP acts as cyber-security tool by detecting traces of 
suspicious user actions 
– No need to have previous knowledge of the events 
– CAP handles any text-based data files 
– CAP analyses secured traffic, as well 
– CAP runs on a private cloud 
www.capdatasolu,ons.com
How to get CAP? 
• Products 
– CAP API: use the CAP over the cloud 
– CAP Cpanel plug-in (more plug-ins to come) 
– On-premise software for larger or data 
sensitive customers 
– Licensing the CAP engine 
• Pricing 
– Free trial version online 
– Monthly fee based on the data volume 
– Custom-made solutions 
www.capdatasolu,ons.com
www.capdatasolu,ons.com
Hard science under the 
hood 
• Anomaly detection: ” Anomaly detection (also 
known as outlier detection) is the search for 
items or events which do not conform to an 
expected pattern. “ (wikipedia) 
• Mathematical algorithms to analyse and 
manipulate high-dimensional, heteregenous 
data 
• Diffusion geometries 
• Non-linear dimensionality reduction
Learn More 
www.capdatasolutions.com 
@CAPanaly,cs 
Markku 
Ranta: 
+358503246233 
markku.ranta@capdatasolu,ons.com 
www.capdatasolu,ons.com

Mais conteúdo relacionado

Mais procurados

Azure stream analytics by Nico Jacobs
Azure stream analytics by Nico JacobsAzure stream analytics by Nico Jacobs
Azure stream analytics by Nico JacobsITProceed
 
A taste of Snowplow Analytics data
A taste of Snowplow Analytics dataA taste of Snowplow Analytics data
A taste of Snowplow Analytics dataRobert Kingston
 
Mesh-ing around with Streams across the Enterprise | Phil Scanlon, Solace
Mesh-ing around with Streams across the Enterprise | Phil Scanlon, SolaceMesh-ing around with Streams across the Enterprise | Phil Scanlon, Solace
Mesh-ing around with Streams across the Enterprise | Phil Scanlon, SolaceHostedbyConfluent
 
Building a Streaming Pipeline on Kubernetes Using Kafka Connect, KSQLDB & Apa...
Building a Streaming Pipeline on Kubernetes Using Kafka Connect, KSQLDB & Apa...Building a Streaming Pipeline on Kubernetes Using Kafka Connect, KSQLDB & Apa...
Building a Streaming Pipeline on Kubernetes Using Kafka Connect, KSQLDB & Apa...HostedbyConfluent
 
From Legacy SQL Server to High Powered Confluent & Kafka Monitoring System at...
From Legacy SQL Server to High Powered Confluent & Kafka Monitoring System at...From Legacy SQL Server to High Powered Confluent & Kafka Monitoring System at...
From Legacy SQL Server to High Powered Confluent & Kafka Monitoring System at...HostedbyConfluent
 
Real-Time Analytics with MemSQL and Spark
Real-Time Analytics with MemSQL and SparkReal-Time Analytics with MemSQL and Spark
Real-Time Analytics with MemSQL and SparkSingleStore
 
Stream processing for the practitioner: Blueprints for common stream processi...
Stream processing for the practitioner: Blueprints for common stream processi...Stream processing for the practitioner: Blueprints for common stream processi...
Stream processing for the practitioner: Blueprints for common stream processi...Aljoscha Krettek
 
Successful AI/ML Projects with End-to-End Cloud Data Engineering
Successful AI/ML Projects with End-to-End Cloud Data EngineeringSuccessful AI/ML Projects with End-to-End Cloud Data Engineering
Successful AI/ML Projects with End-to-End Cloud Data EngineeringDatabricks
 
Analyser vos logs avec Ingensi
Analyser vos logs avec IngensiAnalyser vos logs avec Ingensi
Analyser vos logs avec IngensiCyrès
 
The Real-Time CDO and the Cloud-Forward Path to Predictive Analytics
The Real-Time CDO and the Cloud-Forward Path to Predictive AnalyticsThe Real-Time CDO and the Cloud-Forward Path to Predictive Analytics
The Real-Time CDO and the Cloud-Forward Path to Predictive AnalyticsSingleStore
 
Getting It Right Exactly Once: Principles for Streaming Architectures
Getting It Right Exactly Once: Principles for Streaming ArchitecturesGetting It Right Exactly Once: Principles for Streaming Architectures
Getting It Right Exactly Once: Principles for Streaming ArchitecturesSingleStore
 
Real-Time, Geospatial, Maps by Neil Dahlke
Real-Time, Geospatial, Maps by Neil DahlkeReal-Time, Geospatial, Maps by Neil Dahlke
Real-Time, Geospatial, Maps by Neil DahlkeSingleStore
 
Building Identity Graph at Scale for Programmatic Media Buying Using Apache S...
Building Identity Graph at Scale for Programmatic Media Buying Using Apache S...Building Identity Graph at Scale for Programmatic Media Buying Using Apache S...
Building Identity Graph at Scale for Programmatic Media Buying Using Apache S...Databricks
 
Streaming Data in the Cloud with Confluent and MongoDB Atlas | Robert Walters...
Streaming Data in the Cloud with Confluent and MongoDB Atlas | Robert Walters...Streaming Data in the Cloud with Confluent and MongoDB Atlas | Robert Walters...
Streaming Data in the Cloud with Confluent and MongoDB Atlas | Robert Walters...HostedbyConfluent
 
Netflix Big Data Paris 2017
Netflix Big Data Paris 2017Netflix Big Data Paris 2017
Netflix Big Data Paris 2017Jason Flittner
 
Enabling Real-Time Analytics for IoT
Enabling Real-Time Analytics for IoTEnabling Real-Time Analytics for IoT
Enabling Real-Time Analytics for IoTSingleStore
 
Winning the On-Demand Economy with Spark and Predictive Analytics
Winning the On-Demand Economy with Spark and Predictive AnalyticsWinning the On-Demand Economy with Spark and Predictive Analytics
Winning the On-Demand Economy with Spark and Predictive AnalyticsSingleStore
 
Spreadsheets To API
Spreadsheets To APISpreadsheets To API
Spreadsheets To APIChris Haddad
 

Mais procurados (19)

Azure stream analytics by Nico Jacobs
Azure stream analytics by Nico JacobsAzure stream analytics by Nico Jacobs
Azure stream analytics by Nico Jacobs
 
A taste of Snowplow Analytics data
A taste of Snowplow Analytics dataA taste of Snowplow Analytics data
A taste of Snowplow Analytics data
 
Mesh-ing around with Streams across the Enterprise | Phil Scanlon, Solace
Mesh-ing around with Streams across the Enterprise | Phil Scanlon, SolaceMesh-ing around with Streams across the Enterprise | Phil Scanlon, Solace
Mesh-ing around with Streams across the Enterprise | Phil Scanlon, Solace
 
Building a Streaming Pipeline on Kubernetes Using Kafka Connect, KSQLDB & Apa...
Building a Streaming Pipeline on Kubernetes Using Kafka Connect, KSQLDB & Apa...Building a Streaming Pipeline on Kubernetes Using Kafka Connect, KSQLDB & Apa...
Building a Streaming Pipeline on Kubernetes Using Kafka Connect, KSQLDB & Apa...
 
From Legacy SQL Server to High Powered Confluent & Kafka Monitoring System at...
From Legacy SQL Server to High Powered Confluent & Kafka Monitoring System at...From Legacy SQL Server to High Powered Confluent & Kafka Monitoring System at...
From Legacy SQL Server to High Powered Confluent & Kafka Monitoring System at...
 
Real-Time Analytics with MemSQL and Spark
Real-Time Analytics with MemSQL and SparkReal-Time Analytics with MemSQL and Spark
Real-Time Analytics with MemSQL and Spark
 
Stream processing for the practitioner: Blueprints for common stream processi...
Stream processing for the practitioner: Blueprints for common stream processi...Stream processing for the practitioner: Blueprints for common stream processi...
Stream processing for the practitioner: Blueprints for common stream processi...
 
Successful AI/ML Projects with End-to-End Cloud Data Engineering
Successful AI/ML Projects with End-to-End Cloud Data EngineeringSuccessful AI/ML Projects with End-to-End Cloud Data Engineering
Successful AI/ML Projects with End-to-End Cloud Data Engineering
 
Zero Downtime App Deployment using Hadoop
Zero Downtime App Deployment using HadoopZero Downtime App Deployment using Hadoop
Zero Downtime App Deployment using Hadoop
 
Analyser vos logs avec Ingensi
Analyser vos logs avec IngensiAnalyser vos logs avec Ingensi
Analyser vos logs avec Ingensi
 
The Real-Time CDO and the Cloud-Forward Path to Predictive Analytics
The Real-Time CDO and the Cloud-Forward Path to Predictive AnalyticsThe Real-Time CDO and the Cloud-Forward Path to Predictive Analytics
The Real-Time CDO and the Cloud-Forward Path to Predictive Analytics
 
Getting It Right Exactly Once: Principles for Streaming Architectures
Getting It Right Exactly Once: Principles for Streaming ArchitecturesGetting It Right Exactly Once: Principles for Streaming Architectures
Getting It Right Exactly Once: Principles for Streaming Architectures
 
Real-Time, Geospatial, Maps by Neil Dahlke
Real-Time, Geospatial, Maps by Neil DahlkeReal-Time, Geospatial, Maps by Neil Dahlke
Real-Time, Geospatial, Maps by Neil Dahlke
 
Building Identity Graph at Scale for Programmatic Media Buying Using Apache S...
Building Identity Graph at Scale for Programmatic Media Buying Using Apache S...Building Identity Graph at Scale for Programmatic Media Buying Using Apache S...
Building Identity Graph at Scale for Programmatic Media Buying Using Apache S...
 
Streaming Data in the Cloud with Confluent and MongoDB Atlas | Robert Walters...
Streaming Data in the Cloud with Confluent and MongoDB Atlas | Robert Walters...Streaming Data in the Cloud with Confluent and MongoDB Atlas | Robert Walters...
Streaming Data in the Cloud with Confluent and MongoDB Atlas | Robert Walters...
 
Netflix Big Data Paris 2017
Netflix Big Data Paris 2017Netflix Big Data Paris 2017
Netflix Big Data Paris 2017
 
Enabling Real-Time Analytics for IoT
Enabling Real-Time Analytics for IoTEnabling Real-Time Analytics for IoT
Enabling Real-Time Analytics for IoT
 
Winning the On-Demand Economy with Spark and Predictive Analytics
Winning the On-Demand Economy with Spark and Predictive AnalyticsWinning the On-Demand Economy with Spark and Predictive Analytics
Winning the On-Demand Economy with Spark and Predictive Analytics
 
Spreadsheets To API
Spreadsheets To APISpreadsheets To API
Spreadsheets To API
 

Semelhante a Cap server log file analytics

Tapping the cloud for real time data analytics
 Tapping the cloud for real time data analytics Tapping the cloud for real time data analytics
Tapping the cloud for real time data analyticsAmazon Web Services
 
Stream Processing as Game Changer for Big Data and Internet of Things by Kai ...
Stream Processing as Game Changer for Big Data and Internet of Things by Kai ...Stream Processing as Game Changer for Big Data and Internet of Things by Kai ...
Stream Processing as Game Changer for Big Data and Internet of Things by Kai ...Big Data Spain
 
Streaming Analytics Comparison of Open Source Frameworks, Products, Cloud Ser...
Streaming Analytics Comparison of Open Source Frameworks, Products, Cloud Ser...Streaming Analytics Comparison of Open Source Frameworks, Products, Cloud Ser...
Streaming Analytics Comparison of Open Source Frameworks, Products, Cloud Ser...Kai Wähner
 
Using real time big data analytics for competitive advantage
 Using real time big data analytics for competitive advantage Using real time big data analytics for competitive advantage
Using real time big data analytics for competitive advantageAmazon Web Services
 
How to scale your PaaS with OVH infrastructure?
How to scale your PaaS with OVH infrastructure?How to scale your PaaS with OVH infrastructure?
How to scale your PaaS with OVH infrastructure?OVHcloud
 
(ARC346) Scaling To 25 Billion Daily Requests Within 3 Months On AWS
(ARC346) Scaling To 25 Billion Daily Requests Within 3 Months On AWS(ARC346) Scaling To 25 Billion Daily Requests Within 3 Months On AWS
(ARC346) Scaling To 25 Billion Daily Requests Within 3 Months On AWSAmazon Web Services
 
Evolving Beyond the Data Lake: A Story of Wind and Rain
Evolving Beyond the Data Lake: A Story of Wind and RainEvolving Beyond the Data Lake: A Story of Wind and Rain
Evolving Beyond the Data Lake: A Story of Wind and RainMapR Technologies
 
Hadoop Application Architectures - Fraud Detection
Hadoop Application Architectures - Fraud  DetectionHadoop Application Architectures - Fraud  Detection
Hadoop Application Architectures - Fraud Detectionhadooparchbook
 
Apache Spark Streaming -Real time web server log analytics
Apache Spark Streaming -Real time web server log analyticsApache Spark Streaming -Real time web server log analytics
Apache Spark Streaming -Real time web server log analyticsANKIT GUPTA
 
Introduction to OVH Analytics Data Platform
Introduction to OVH Analytics Data PlatformIntroduction to OVH Analytics Data Platform
Introduction to OVH Analytics Data PlatformOVHcloud
 
The role of AWS in the Datalandscape of a fast growing Startup
The role of AWS in the Datalandscape of a fast growing StartupThe role of AWS in the Datalandscape of a fast growing Startup
The role of AWS in the Datalandscape of a fast growing StartupMaximilian Ehrlich
 
The Cloud - What's different
The Cloud - What's differentThe Cloud - What's different
The Cloud - What's differentChen-Tien Tsai
 
SplunkLive! London - Splunk App for Stream & MINT Breakout
SplunkLive! London - Splunk App for Stream & MINT BreakoutSplunkLive! London - Splunk App for Stream & MINT Breakout
SplunkLive! London - Splunk App for Stream & MINT BreakoutSplunk
 
Real World Use Cases and Success Stories for In-Memory Data Grids (TIBCO Acti...
Real World Use Cases and Success Stories for In-Memory Data Grids (TIBCO Acti...Real World Use Cases and Success Stories for In-Memory Data Grids (TIBCO Acti...
Real World Use Cases and Success Stories for In-Memory Data Grids (TIBCO Acti...Kai Wähner
 
When Streaming Becomes Strategic
When Streaming Becomes StrategicWhen Streaming Becomes Strategic
When Streaming Becomes StrategicMapR Technologies
 
Enterprise Use Case Webinar - PaaS Metering and Monitoring
Enterprise Use Case Webinar - PaaS Metering and Monitoring Enterprise Use Case Webinar - PaaS Metering and Monitoring
Enterprise Use Case Webinar - PaaS Metering and Monitoring WSO2
 

Semelhante a Cap server log file analytics (20)

Observability at Spotify
Observability at SpotifyObservability at Spotify
Observability at Spotify
 
Tapping the cloud for real time data analytics
 Tapping the cloud for real time data analytics Tapping the cloud for real time data analytics
Tapping the cloud for real time data analytics
 
Stream Processing as Game Changer for Big Data and Internet of Things by Kai ...
Stream Processing as Game Changer for Big Data and Internet of Things by Kai ...Stream Processing as Game Changer for Big Data and Internet of Things by Kai ...
Stream Processing as Game Changer for Big Data and Internet of Things by Kai ...
 
Streaming Analytics Comparison of Open Source Frameworks, Products, Cloud Ser...
Streaming Analytics Comparison of Open Source Frameworks, Products, Cloud Ser...Streaming Analytics Comparison of Open Source Frameworks, Products, Cloud Ser...
Streaming Analytics Comparison of Open Source Frameworks, Products, Cloud Ser...
 
Using real time big data analytics for competitive advantage
 Using real time big data analytics for competitive advantage Using real time big data analytics for competitive advantage
Using real time big data analytics for competitive advantage
 
Boot camp - Migration to AWS
Boot camp - Migration to AWSBoot camp - Migration to AWS
Boot camp - Migration to AWS
 
How to scale your PaaS with OVH infrastructure?
How to scale your PaaS with OVH infrastructure?How to scale your PaaS with OVH infrastructure?
How to scale your PaaS with OVH infrastructure?
 
(ARC346) Scaling To 25 Billion Daily Requests Within 3 Months On AWS
(ARC346) Scaling To 25 Billion Daily Requests Within 3 Months On AWS(ARC346) Scaling To 25 Billion Daily Requests Within 3 Months On AWS
(ARC346) Scaling To 25 Billion Daily Requests Within 3 Months On AWS
 
Evolving Beyond the Data Lake: A Story of Wind and Rain
Evolving Beyond the Data Lake: A Story of Wind and RainEvolving Beyond the Data Lake: A Story of Wind and Rain
Evolving Beyond the Data Lake: A Story of Wind and Rain
 
Hadoop Application Architectures - Fraud Detection
Hadoop Application Architectures - Fraud  DetectionHadoop Application Architectures - Fraud  Detection
Hadoop Application Architectures - Fraud Detection
 
Apache Spark Streaming -Real time web server log analytics
Apache Spark Streaming -Real time web server log analyticsApache Spark Streaming -Real time web server log analytics
Apache Spark Streaming -Real time web server log analytics
 
Introduction to OVH Analytics Data Platform
Introduction to OVH Analytics Data PlatformIntroduction to OVH Analytics Data Platform
Introduction to OVH Analytics Data Platform
 
The role of AWS in the Datalandscape of a fast growing Startup
The role of AWS in the Datalandscape of a fast growing StartupThe role of AWS in the Datalandscape of a fast growing Startup
The role of AWS in the Datalandscape of a fast growing Startup
 
Real-Time Streaming Data on AWS
Real-Time Streaming Data on AWSReal-Time Streaming Data on AWS
Real-Time Streaming Data on AWS
 
Analysing Data in Real-time
Analysing Data in Real-timeAnalysing Data in Real-time
Analysing Data in Real-time
 
The Cloud - What's different
The Cloud - What's differentThe Cloud - What's different
The Cloud - What's different
 
SplunkLive! London - Splunk App for Stream & MINT Breakout
SplunkLive! London - Splunk App for Stream & MINT BreakoutSplunkLive! London - Splunk App for Stream & MINT Breakout
SplunkLive! London - Splunk App for Stream & MINT Breakout
 
Real World Use Cases and Success Stories for In-Memory Data Grids (TIBCO Acti...
Real World Use Cases and Success Stories for In-Memory Data Grids (TIBCO Acti...Real World Use Cases and Success Stories for In-Memory Data Grids (TIBCO Acti...
Real World Use Cases and Success Stories for In-Memory Data Grids (TIBCO Acti...
 
When Streaming Becomes Strategic
When Streaming Becomes StrategicWhen Streaming Becomes Strategic
When Streaming Becomes Strategic
 
Enterprise Use Case Webinar - PaaS Metering and Monitoring
Enterprise Use Case Webinar - PaaS Metering and Monitoring Enterprise Use Case Webinar - PaaS Metering and Monitoring
Enterprise Use Case Webinar - PaaS Metering and Monitoring
 

Último

Scaling API-first – The story of a global engineering organization
Scaling API-first – The story of a global engineering organizationScaling API-first – The story of a global engineering organization
Scaling API-first – The story of a global engineering organizationRadu Cotescu
 
Exploring the Future Potential of AI-Enabled Smartphone Processors
Exploring the Future Potential of AI-Enabled Smartphone ProcessorsExploring the Future Potential of AI-Enabled Smartphone Processors
Exploring the Future Potential of AI-Enabled Smartphone Processorsdebabhi2
 
Axa Assurance Maroc - Insurer Innovation Award 2024
Axa Assurance Maroc - Insurer Innovation Award 2024Axa Assurance Maroc - Insurer Innovation Award 2024
Axa Assurance Maroc - Insurer Innovation Award 2024The Digital Insurer
 
TrustArc Webinar - Stay Ahead of US State Data Privacy Law Developments
TrustArc Webinar - Stay Ahead of US State Data Privacy Law DevelopmentsTrustArc Webinar - Stay Ahead of US State Data Privacy Law Developments
TrustArc Webinar - Stay Ahead of US State Data Privacy Law DevelopmentsTrustArc
 
The Role of Taxonomy and Ontology in Semantic Layers - Heather Hedden.pdf
The Role of Taxonomy and Ontology in Semantic Layers - Heather Hedden.pdfThe Role of Taxonomy and Ontology in Semantic Layers - Heather Hedden.pdf
The Role of Taxonomy and Ontology in Semantic Layers - Heather Hedden.pdfEnterprise Knowledge
 
Partners Life - Insurer Innovation Award 2024
Partners Life - Insurer Innovation Award 2024Partners Life - Insurer Innovation Award 2024
Partners Life - Insurer Innovation Award 2024The Digital Insurer
 
How to Troubleshoot Apps for the Modern Connected Worker
How to Troubleshoot Apps for the Modern Connected WorkerHow to Troubleshoot Apps for the Modern Connected Worker
How to Troubleshoot Apps for the Modern Connected WorkerThousandEyes
 
Evaluating the top large language models.pdf
Evaluating the top large language models.pdfEvaluating the top large language models.pdf
Evaluating the top large language models.pdfChristopherTHyatt
 
Artificial Intelligence: Facts and Myths
Artificial Intelligence: Facts and MythsArtificial Intelligence: Facts and Myths
Artificial Intelligence: Facts and MythsJoaquim Jorge
 
2024: Domino Containers - The Next Step. News from the Domino Container commu...
2024: Domino Containers - The Next Step. News from the Domino Container commu...2024: Domino Containers - The Next Step. News from the Domino Container commu...
2024: Domino Containers - The Next Step. News from the Domino Container commu...Martijn de Jong
 
Raspberry Pi 5: Challenges and Solutions in Bringing up an OpenGL/Vulkan Driv...
Raspberry Pi 5: Challenges and Solutions in Bringing up an OpenGL/Vulkan Driv...Raspberry Pi 5: Challenges and Solutions in Bringing up an OpenGL/Vulkan Driv...
Raspberry Pi 5: Challenges and Solutions in Bringing up an OpenGL/Vulkan Driv...Igalia
 
EIS-Webinar-Prompt-Knowledge-Eng-2024-04-08.pptx
EIS-Webinar-Prompt-Knowledge-Eng-2024-04-08.pptxEIS-Webinar-Prompt-Knowledge-Eng-2024-04-08.pptx
EIS-Webinar-Prompt-Knowledge-Eng-2024-04-08.pptxEarley Information Science
 
How to convert PDF to text with Nanonets
How to convert PDF to text with NanonetsHow to convert PDF to text with Nanonets
How to convert PDF to text with Nanonetsnaman860154
 
presentation ICT roal in 21st century education
presentation ICT roal in 21st century educationpresentation ICT roal in 21st century education
presentation ICT roal in 21st century educationjfdjdjcjdnsjd
 
CNv6 Instructor Chapter 6 Quality of Service
CNv6 Instructor Chapter 6 Quality of ServiceCNv6 Instructor Chapter 6 Quality of Service
CNv6 Instructor Chapter 6 Quality of Servicegiselly40
 
Finology Group – Insurtech Innovation Award 2024
Finology Group – Insurtech Innovation Award 2024Finology Group – Insurtech Innovation Award 2024
Finology Group – Insurtech Innovation Award 2024The Digital Insurer
 
08448380779 Call Girls In Civil Lines Women Seeking Men
08448380779 Call Girls In Civil Lines Women Seeking Men08448380779 Call Girls In Civil Lines Women Seeking Men
08448380779 Call Girls In Civil Lines Women Seeking MenDelhi Call girls
 
Automating Google Workspace (GWS) & more with Apps Script
Automating Google Workspace (GWS) & more with Apps ScriptAutomating Google Workspace (GWS) & more with Apps Script
Automating Google Workspace (GWS) & more with Apps Scriptwesley chun
 
Data Cloud, More than a CDP by Matt Robison
Data Cloud, More than a CDP by Matt RobisonData Cloud, More than a CDP by Matt Robison
Data Cloud, More than a CDP by Matt RobisonAnna Loughnan Colquhoun
 
A Domino Admins Adventures (Engage 2024)
A Domino Admins Adventures (Engage 2024)A Domino Admins Adventures (Engage 2024)
A Domino Admins Adventures (Engage 2024)Gabriella Davis
 

Último (20)

Scaling API-first – The story of a global engineering organization
Scaling API-first – The story of a global engineering organizationScaling API-first – The story of a global engineering organization
Scaling API-first – The story of a global engineering organization
 
Exploring the Future Potential of AI-Enabled Smartphone Processors
Exploring the Future Potential of AI-Enabled Smartphone ProcessorsExploring the Future Potential of AI-Enabled Smartphone Processors
Exploring the Future Potential of AI-Enabled Smartphone Processors
 
Axa Assurance Maroc - Insurer Innovation Award 2024
Axa Assurance Maroc - Insurer Innovation Award 2024Axa Assurance Maroc - Insurer Innovation Award 2024
Axa Assurance Maroc - Insurer Innovation Award 2024
 
TrustArc Webinar - Stay Ahead of US State Data Privacy Law Developments
TrustArc Webinar - Stay Ahead of US State Data Privacy Law DevelopmentsTrustArc Webinar - Stay Ahead of US State Data Privacy Law Developments
TrustArc Webinar - Stay Ahead of US State Data Privacy Law Developments
 
The Role of Taxonomy and Ontology in Semantic Layers - Heather Hedden.pdf
The Role of Taxonomy and Ontology in Semantic Layers - Heather Hedden.pdfThe Role of Taxonomy and Ontology in Semantic Layers - Heather Hedden.pdf
The Role of Taxonomy and Ontology in Semantic Layers - Heather Hedden.pdf
 
Partners Life - Insurer Innovation Award 2024
Partners Life - Insurer Innovation Award 2024Partners Life - Insurer Innovation Award 2024
Partners Life - Insurer Innovation Award 2024
 
How to Troubleshoot Apps for the Modern Connected Worker
How to Troubleshoot Apps for the Modern Connected WorkerHow to Troubleshoot Apps for the Modern Connected Worker
How to Troubleshoot Apps for the Modern Connected Worker
 
Evaluating the top large language models.pdf
Evaluating the top large language models.pdfEvaluating the top large language models.pdf
Evaluating the top large language models.pdf
 
Artificial Intelligence: Facts and Myths
Artificial Intelligence: Facts and MythsArtificial Intelligence: Facts and Myths
Artificial Intelligence: Facts and Myths
 
2024: Domino Containers - The Next Step. News from the Domino Container commu...
2024: Domino Containers - The Next Step. News from the Domino Container commu...2024: Domino Containers - The Next Step. News from the Domino Container commu...
2024: Domino Containers - The Next Step. News from the Domino Container commu...
 
Raspberry Pi 5: Challenges and Solutions in Bringing up an OpenGL/Vulkan Driv...
Raspberry Pi 5: Challenges and Solutions in Bringing up an OpenGL/Vulkan Driv...Raspberry Pi 5: Challenges and Solutions in Bringing up an OpenGL/Vulkan Driv...
Raspberry Pi 5: Challenges and Solutions in Bringing up an OpenGL/Vulkan Driv...
 
EIS-Webinar-Prompt-Knowledge-Eng-2024-04-08.pptx
EIS-Webinar-Prompt-Knowledge-Eng-2024-04-08.pptxEIS-Webinar-Prompt-Knowledge-Eng-2024-04-08.pptx
EIS-Webinar-Prompt-Knowledge-Eng-2024-04-08.pptx
 
How to convert PDF to text with Nanonets
How to convert PDF to text with NanonetsHow to convert PDF to text with Nanonets
How to convert PDF to text with Nanonets
 
presentation ICT roal in 21st century education
presentation ICT roal in 21st century educationpresentation ICT roal in 21st century education
presentation ICT roal in 21st century education
 
CNv6 Instructor Chapter 6 Quality of Service
CNv6 Instructor Chapter 6 Quality of ServiceCNv6 Instructor Chapter 6 Quality of Service
CNv6 Instructor Chapter 6 Quality of Service
 
Finology Group – Insurtech Innovation Award 2024
Finology Group – Insurtech Innovation Award 2024Finology Group – Insurtech Innovation Award 2024
Finology Group – Insurtech Innovation Award 2024
 
08448380779 Call Girls In Civil Lines Women Seeking Men
08448380779 Call Girls In Civil Lines Women Seeking Men08448380779 Call Girls In Civil Lines Women Seeking Men
08448380779 Call Girls In Civil Lines Women Seeking Men
 
Automating Google Workspace (GWS) & more with Apps Script
Automating Google Workspace (GWS) & more with Apps ScriptAutomating Google Workspace (GWS) & more with Apps Script
Automating Google Workspace (GWS) & more with Apps Script
 
Data Cloud, More than a CDP by Matt Robison
Data Cloud, More than a CDP by Matt RobisonData Cloud, More than a CDP by Matt Robison
Data Cloud, More than a CDP by Matt Robison
 
A Domino Admins Adventures (Engage 2024)
A Domino Admins Adventures (Engage 2024)A Domino Admins Adventures (Engage 2024)
A Domino Admins Adventures (Engage 2024)
 

Cap server log file analytics

  • 1. CAP Detects suspicious events in log files service introduction, October 2014 www.capdatasolu,ons.com
  • 2. Customer problem Anything unusual or noteworthy in my server log files ? www.capdatasolu,ons.com
  • 3. CAP picks up the weird events for you from the mass Only those few events that differ from the usual opera,ons
  • 4. Why CAP? • Our customer wants – to find valuable information hidden in huge amounts of (typically under-utilized) data – to find indications of possible security threats – to use log file information in DevOps and other IT operations or in software development processes www.capdatasolu,ons.com
  • 5. • CAP service is The CAP promise – a B2B cloud service for log file analytics to server admins, hosting companies and DevOps – Easily deployable cloud service that detects the valuable events in massive data volumes • Customer benefits – Focus the attention to few important events in data – CAP radically raises the business value of the data – CAP acts as cyber-security tool by detecting traces of suspicious user actions – No need to have previous knowledge of the events – CAP handles any text-based data files – CAP analyses secured traffic, as well – CAP runs on a private cloud www.capdatasolu,ons.com
  • 6. How to get CAP? • Products – CAP API: use the CAP over the cloud – CAP Cpanel plug-in (more plug-ins to come) – On-premise software for larger or data sensitive customers – Licensing the CAP engine • Pricing – Free trial version online – Monthly fee based on the data volume – Custom-made solutions www.capdatasolu,ons.com
  • 8. Hard science under the hood • Anomaly detection: ” Anomaly detection (also known as outlier detection) is the search for items or events which do not conform to an expected pattern. “ (wikipedia) • Mathematical algorithms to analyse and manipulate high-dimensional, heteregenous data • Diffusion geometries • Non-linear dimensionality reduction
  • 9. Learn More www.capdatasolutions.com @CAPanaly,cs Markku Ranta: +358503246233 markku.ranta@capdatasolu,ons.com www.capdatasolu,ons.com