WEBINAR

Mission Archivable With Splunk & Atlassian

Your mission, should you choose to accept it, is to reduce your monitoring costs and complexity by archiving low tier and dropping unused data.

Data volumes can easily explode in today’s digital landscape. This can result in additional barriers and noise to unlocking key insights from your data, and it can mean unsustainable costs within your monitoring and observability platforms.

Not all data is equal, and Splunk has introduced new capabilities to help manage the different tiers of data within your environment. With Metrics Pipeline Management, and Metrics Usage Analytics, you can easily identify which data is infrequently or never accessed, and configure the right pipelines to route it to the right destination.

In this webinar Splunk Observability Strategist Koray Harman, joined by a very special guest Atlassian Principal Software Engineer, Matt Ponsford, will discuss how metric archival can be fully utilised by organisations to make an impact to monitoring costs and efficiencies, capabilities Splunk has introduced to make this simple, and some real world examples, learnings and best practices for you to get started today.

Data Tiers

• What kinds of tiers does data fall into within an organisation, and why?

Archival, Aggregation and Filtering

• What benefits do we see from minimise our data footprint, and the different ways to drive impact

Metrics Pipeline Management

• New functionality to define pipelines to support sending the right data, to the right tier

Metrics Usage Analysis

• New functionality to easily identify noise, infrequently, and unused data within your environment

Real World Implementation

• Atlassian has made great headway in implementing and orchestrating various data rules. They’ll share their journey so far, covering highs, lows, lessons learned, and future goals

Our Speakers