You can add more knowledge and correlate
machine data based on time, external data,
location, sub-searches or joins.
“Make machine data accessible, usable & valuable
to everyone.”
| BEFORE | AFTER |
|---|---|
| Every application has it’s own monitoring tools, and hard to integrate one to another | Collect and index any machine, and analyze the entire data from a single console |
| Require specialized skill sets and extensive integration effort to understand many system | Only need to understand one tool to monitor many systems, with a consolidated dashboard. |
| Some tools require software to be installed in the client side, and platform dependent | Dashboards are available on web and mobile applications, accessible anywhere |
| Existing BI and DWH tools not engineered for high volume, high velocity and highly variable machine data | Using map-reduce technology at massive scale, regardless of format or source |
| Businesses can only access information from database, thus they how much revenue lost in case of system error | Gain real-time insight from operational raw-data to make better-informed business decisions |
| Take much time for troubleshoot, since log files are located in many servers | Easy search for all log files in the entire data center using “google like” search |
benefits
- Faster problem identification
- Reduces escalations by 80%
- Avoiding Security and Fraud Incidents
Splunk closes the Gap between people and data, it makes machine data accessible, usable and valuable to everyone.
Big data analysis with Splunk is an easy task and we benefit from meaningful information within a few seconds and clicks and also extensive visualization features which we would no longer want to miss.
With Universal Monitoring Tools, any data will be indexed once, and will be re-used many time, thus it becomes efficient in storage, easier to build the skill set, and enables the enterprise to correlate any data to yield high value business insights.
The data source itself could come from very low level like Packet Data until Application level, such as:
Application Logs: Local log files, log4j, log4net, Weblogic, WebSphere, JBoss, .NET, PHP
Clickstream Data : Web server, routers, proxy servers, ad servers
Operating System Metrics : CPU and memory utilization and status information using command-line utilities like ps and iostat on Unix and Linux and performance monitor on Windows
Packet/Flow Data : tcpdump and tcpflow, which generate pcap or flow data and other useful packet-level and session-level information
SCADA Data : temperature, sound, pressure, power, water levels, and other modbus
Windows Events : Windows application, security and system event logs
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