Arijit Mukherji, Splunk | Leading with Observability

Arijit Mukherji, Distinguished Architect, Splunk sits down with John Furrier for a special CUBE Conversation on Leading with Observability. In this segment of the series, Arijit goes under the hood with Splunk Observability.

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https://siliconangle.com/2021/02/22/splunk-clears-complexity-fog-bring-observability-cloud-device-cubeconversations-observability/

Splunk clears the ‘complexity fog’ to bring observability from cloud to device
BY BETSY AMY-VOGT

Under the hood: Splunk Observability
Today, companies need observability to be able to monitor and manage application performance, infrastructure, logging, real user activity, and digital experience. But tomorrow will bring new challenges.

“Technologies and infrastructures will keep on changing; that’s sort of the rule of nature right now. The question is, how do we best address it in a more future-proofed system?” Mukherji asked.

Speaking with Furrier, Mukherji described how Splunk’s architects approached the technical challenge of creating a comprehensive and integrated observability solution. The main thing companies need to do is establish what they require from an observability solution, according to Mukherji. Observability is not “just a set of parts,” he said, “but it brings direct product benefits, like faster mean time to resolution, understanding what’s going on in your environment,” having fewer outages at the same time and understanding root causes.

Full-fidelity — understanding every single transaction — is a “fascinating superpower” according to Mukherji, because that’s where you can avoid “the gaps, and if you are able to go back and track any bad transaction, any time, that is hugely liberating,” he said.

The Splunk Observability Suite has what the company’s dubbed NoSample full-fidelity trace ingestion as “a core foundational principle,” Mukherji stated. “For us, it’s not just isolated to application performance management where a user gets your API and you’re able to track what happened. We are taking this upstream up to the user, where the user is taking actions on the browser,” he furthered, as understanding the whole user transaction end-to-end, without any gaps, without any sampling, is extremely powerful.

Another huge issue Splunk addresses are the inefficiencies of tool sprawl.

“If you find yourself using three or four different tools which are all part of some critical workload together … something could be optimized,” Mukherji said.

Integrating tools into one user interface that gives cross-tool data on incident management, infrastructure monitoring and incident management, for example, allows engineers to make quicker, faster decisions and avert or control crises.

Видео Arijit Mukherji, Splunk | Leading with Observability канала SiliconANGLE theCUBE