Splunk for Application Management Services Packages

The Splunk for Application Management Design and Deployment service packages build on Splunk expertise in managing large scale, distributed applications to provide a comprehensive delivery of the full power of Splunk, customized for your specific environment.

Splunk for Application Management Design Service Package incorporates:

• Identification of groups of users, business owners and other stakeholders responsible for various aspects of building, managing and supporting multi-component applications. In typical Splunk deployments, this includes but is not limited to IT operations users and executives, Tier 1 application support users, application owners, developers and architects as well as business owners and executives.
• Mapping of operational processes that require Splunk support and data sources that feed this information to Splunk. One of Splunk’s most powerful functions is the ability to accept data from ANY source; be it logs, configurations or metrics from all application servers, web servers, databases, packaged applications, operating systems, virtualization layers even down to hardware devices such as switches, routers, servers and storage. The service package includes identification of relevant data from a range of possible data sources.
• Design of a Splunk information architecture that excels at delivering the right sets of information to the right sets of people to enable acceleration of operational processes as well as high level decision making.

Splunk for Application Management Deployment Service Package incorporates:

• Definition and implementation of a Splunk indexing and data collection infrastructure including hardware capacity planning for the Splunk deployment, documentation of data sources, scripts and configurations as well as field extractions and enrichment of data in Splunk.
• Specification and creation of views, dashboards, form searches, alerts and the role-based user access controls for these. This includes operational views such as transaction tracing searches and transaction performance monitoring views, alerts for common errors or performance threshold violations, as well as multi-source business level reports such as transaction volumes vs capacity; financial impact of failed transactions, outages, unmet SLAs and even analytics on customer behavior, preferences and optimal strategies for meeting customer demand.
• Data volume management and retention policy implementation
• Integration with existing systems/operational process such as ticketing systems, change control systems, escalation processes etc.
• Creation of best practices to manage and extend the deployment