Showing posts with label Analytics. Show all posts
Showing posts with label Analytics. Show all posts
Wednesday, August 11, 2021
Wednesday, February 3, 2021
Wednesday, July 17, 2019
Elastic for Search & Analytics
Labels:
Analytics,
APM,
Cloud,
Elastic,
Metrics,
Open Source,
Search,
Security,
Steve Kearns
Wednesday, November 28, 2018
Revolutionizing Big Data Apps
Labels:
Analytics,
AWS,
Big Data,
DataDog,
ETL,
Rockset,
Schemaless Ingess,
Search,
Serverless,
SQL
Wednesday, November 14, 2018
Friday, February 24, 2017
Saturday, October 29, 2016
Friday, October 28, 2016
Monday, April 25, 2016
Friday, November 20, 2015
Wednesday, October 29, 2014
The Cloudcast #169 - DevOps Incident Management with BigPanda
Big Panda - http://bigpanda.io/
- Golden Age of Developers = Nightmare for Ops: http://blog.bigpanda.io/golden-age-of-developers-nightmare-for-ops
Topic 1 - Announced A Round and came out of stealth yesterday. Give us a quick overview of Big Panda and the problem you are trying to solve
Topic 1.5 - The service - Is it an aggregator, a single interface or a different way to create a contextual view of apps? “Command and Control?”
Topic 2 - Is this a service for Ops teams, or do you see developers wanting access to validate what Ops might be telling them? (Mention the Blog Post Above)
Topic 3 - What Big Data do you have in the background to drive faster incident closure?
Topic 4 - You integrate with ticketing systems like Service Now, Jira, BMC Remedy. What's a typical incident workflow when integrating with those tools?
Topic 5 - How do you keep the incident tagging consistent from all the different sources? How do you avoid conflicts as environments get larger, or the downstream services (generating events) change over time?
Topic 6 - Early use cases? Anything surprising emerging from the data?
Friday, October 24, 2014
Friday, October 4, 2013
Sunday, April 7, 2013
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