Infrastructure Monitoring

Gain Visibility into Server, Storage and Network Infrastructure

The growing complexity of today's physical, virtual and cloud-based datacenters, as well as WAN and mobile infrastructures, is making it increasingly difficult to deliver visibility and correlation across an entire infrastructure of technologies.

Organizations need to deliver operational analytics to gain end-to-end actionable insights across their entire infrastructure, including insight into faults, events, capacity, configurations and security of their storage, server and network elements. Splunk helps you to:

  • Resolve issues faster by correlating infrastructure problems with service availability and response time problems
  • Prevent business outages with proactive monitoring across your physical and virtual server, storage and network elements
  • Make informed business decisions with operational analytics such as capacity planning, usage and cost metering, configuration and security tracking



Virtualization and cloud computing are evolving the needs of IT operations professionals from monitoring physical and virtual servers to analytics around capacity, configuration, chargeback and security of servers. Large server farm admins need to monitor consoles for logs, configurations, power and cooling data, and hardware faults in the context of performance and business-critical services. Harnessing data across hundreds and thousands of physical and virtual servers requires a solution that scales to the largest datacenter environments.

Get in-depth visibility into your physical and virtual servers, and correlate that data with other technologies and services as well as for reporting and analytics around capacity, utilization, chargeback and security. With Splunk you can:

  • Proactively monitor your servers and gain insight into performance, configuration, access and faults
  • Correlate server performance, faults and events data with user, hypervisor and applications components to prevent and fix issues
  • Analyze and optimize costs through server capacity tracking, utilization chargeback and security reporting in real time
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Cloud, mobile and social growth are driving increased storage needs. This growth is forcing organizations to provide increased visibility into storage infrastructures across multiple vendors and technologies.

Splunk provides comprehensive visibility across relevant storage logs, events and metrics. This enables organizations to correlate storage data with data from the rest of your infrastructure and applications. With Splunk:

  • Correlate logs, performance metrics and events from your storage systems with server, networking and application data to solve problems and increase customer satisfaction
  • Use powerful analytics to troubleshoot issues in real time and trend and analyze the performance of your storage systems
  • Reduce development time and cut overhead costs with easy integration with leading storage vendors, including NetApp and EMC
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Networks are evolving to accommodate an enormous rise in mobile and social traffic. Traffic patterns are changing in datacenter and WAN environments as workloads are increasingly mobile. As software-defined networking (SDN) helps adapt networks to the new generation of increased mobility and large-scale cloud-based applications, network administrators are faced with the need for end-to-end visibility into network traffic, security and applications.

With Splunk you can:

  • Monitor and meet critical network SLAs by tracking network data from wireless devices, switches and routers, firewalls, and others, by using SNMP, flow protocols (Netflow, sFlow), syslog, PCAP and
    API-based transfers
  • Proactively identify network security issues and perform trending and forensic analysis. Correlate network data with applications, storage and server analytics to keep your network secure and operational at all times
  • Achieve maximum ROI by optimizing your network capacity, identifying latencies, managing bandwidth, and identifying top networking resource consumers and their usage patterns
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