Identify the limits of each component and a cluster as a whole
- Dominant language
- C++
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Description
We want to answer the following questions better:
- [ ] How many instances each role can have?
- [ ] How much performance can we get from each component?
- [ ] To get x% more performance from a component (say proxy), how many new instances and how much more resources do we need to add? Is there a mathematical model that calculates a component's performance based on the component's allocated resources?
- [ ] What are the maximum shard counts, data size a cluster can hold?
[This idea was proposed and discussed in FDB Offset 2019.]
Contributor guide
Research direction
No files, tests, or entry points are identified. Start by reviewing the FDB Offset 2019 discussion referenced in the issue, then define how each checklist question would be measured for components and a cluster. Done would require documented limits, performance/resource models, and maximum shard and data-size findings.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- cpp
- Domain
- databases, distributed-systems, performance
- Issue type
- Feature
- Difficulty
- 5/5
- Estimated time
- Over a week
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 25/100