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Real Time
Mobile Reports
of Machine data
(e.g. IT logs)
What is Machine Data (MD) ?
Data generated by all the
systems running in data
centers, your computers
and the new world of
connected devices.
Why is MD important ?
Customer completes transaction
on the web
LOG Page, Product
Information, Time spent
LOG Database writes and errors
Insights Customer Demand & Activity
Insights Is the data store
influencing the Customer’s
web experience ?
Why does Business Care ?
Investigation
Proactive Monitoring
Operational Visibility
Insights from logs
Impacts Business
Processes
Improves Customer
Experience
Helps drive costs down
for infrastructure and
resources
Prevent problems in
advance and seize
opportunities
KPI
What we did focus on
Investigation
Proactive Monitoring
Operational Visibility
Insights from logs
Need access to
Operational Data
On the Go.
Anomaly
Detection.
PAIN
how we did it .
Web
Database
Cache
../access.log
logstash-shipper
../mysql.log
logstash-shipper
../memcached.log
logstash-shipper
redis
logindexer
elasticsearch
Queries & Filters
Log Aggregator
A flexible platform which can connect to your
Enterprise Data sources (Databases, Data
warehouses, Enterprise APIs, SaaS APIs) and
quickly provide Mobile reports and
Dashboards.
Key technologies used?
logstash is a tool for managing your logs.It helps
you take logs and other event data from your
systems and move it into a central place. logstash
is open source and completely free.
A flexible and powerful open source,
distributed real-time search engine for the
cloud
1 . Process Map to IT environment: Business changes impact IT. The
solution should be flexible enough to learn and adjust itself to your IT
environment quickly. It shouldn’t take you days or weeks to configure. Ideally
it should be smart to see changes and adapt itself.
2. Business Event vs IT Event Focus on the business event, not the IT event.
3. Focus on inefficiencies If the solution is implemented properly, you would
be able to find under utilizations and be able to allocate resources
accordingly.
4. Eliminate the Unimportant Data from logs is massive. The ability to filter
out noise is important.
Download from http://secondprism.com/yada and try the application for free.
For Connector information contact us at support@secondprism.com
4 considerations

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Mobile Reports and Dashboards of IT logs (and other machine data)

  • 1. Real Time Mobile Reports of Machine data (e.g. IT logs)
  • 2. What is Machine Data (MD) ? Data generated by all the systems running in data centers, your computers and the new world of connected devices.
  • 3. Why is MD important ? Customer completes transaction on the web LOG Page, Product Information, Time spent LOG Database writes and errors Insights Customer Demand & Activity Insights Is the data store influencing the Customer’s web experience ?
  • 4. Why does Business Care ? Investigation Proactive Monitoring Operational Visibility Insights from logs Impacts Business Processes Improves Customer Experience Helps drive costs down for infrastructure and resources Prevent problems in advance and seize opportunities KPI
  • 5. What we did focus on Investigation Proactive Monitoring Operational Visibility Insights from logs Need access to Operational Data On the Go. Anomaly Detection. PAIN
  • 6. how we did it . Web Database Cache ../access.log logstash-shipper ../mysql.log logstash-shipper ../memcached.log logstash-shipper redis logindexer elasticsearch Queries & Filters Log Aggregator
  • 7. A flexible platform which can connect to your Enterprise Data sources (Databases, Data warehouses, Enterprise APIs, SaaS APIs) and quickly provide Mobile reports and Dashboards. Key technologies used? logstash is a tool for managing your logs.It helps you take logs and other event data from your systems and move it into a central place. logstash is open source and completely free. A flexible and powerful open source, distributed real-time search engine for the cloud
  • 8. 1 . Process Map to IT environment: Business changes impact IT. The solution should be flexible enough to learn and adjust itself to your IT environment quickly. It shouldn’t take you days or weeks to configure. Ideally it should be smart to see changes and adapt itself. 2. Business Event vs IT Event Focus on the business event, not the IT event. 3. Focus on inefficiencies If the solution is implemented properly, you would be able to find under utilizations and be able to allocate resources accordingly. 4. Eliminate the Unimportant Data from logs is massive. The ability to filter out noise is important. Download from http://secondprism.com/yada and try the application for free. For Connector information contact us at support@secondprism.com 4 considerations