1. What topics will be discussed?
- Experiences running systems at scale in production
- Fire stories
2. Who should attend this meetup
People interested in learning about distributed systems and who enjoy post-mortem/RCA’s.
3. Who should speak at this meetup?
- Have you been the primary respondent to a fire in production? We’d love to hear your story.
- Are you running systems at scale? We will be thrilled to hear experience reports of what went well.
5. Format of the meetup
Two talks, 40 minutes each.
Date (tentative): 30th May, 4-6 PM.
How to join the meetup: This event is free to attend. Zoom Link will be shared closer to the meetup date.
Contact details: write to Nishant Modak on modak.nishant+dsmeetup@gmail.com or team@dsconf.in or call +91-9823088236 Follow the meetup group on Twitter - twitter.com/dist_sys
Accepting submissions till 28 May 2020, 09:30 PM
Not accepting submissions
The Distributed Systems meetup has room for two talks, each of 40 mins duration.
If you:
- Have experience reports of running distributed systems?
- Or, you have run systems at scale that handle petabytes of data and 99.99 uptime.
- Were you a first repondent to a recent fire in production? Got a battle story?
then you should submit a presentation.
Make a submission
Accepting submissions till 28 May 2020, 09:30 PM
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GV
Goutham Veeramachaneni Consistent Hashing: Using something simple to scale infinitely and horizontallyWe build and run https://cortexmetrics.io, a scalable time-series database that scales to billions of datapoints per day and 100s of Millions of active time-series. The architecture is modelled around Consistent Hashing, a (imo) simple but powerful algorithm to distribute data that lets you scale horizontally. We will first start with motivation (what are we trying to achieve), and introduce cons… more
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IM
Ishaan Malhi Folding@Home on Kubernetes in the CloudFolding@Home is a distributed computing project that uses idle compute time to run protein simulations. Recently, they have concentrated their efforts to prioritize Covid-19 research (https://foldingathome.org/covid19/). In this talk, I go through how to deploy Folding@Home client workers on your Kubernetes clusters to donate idle compute time across your cluster. more
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