Improving query performance in ElasticSearch at scale
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Improving query performance in ElasticSearch at scale
optimization and saving time has always been a passion of mine.
Nick Sonnenberg • Come Up for Air: How Teams Can Leverage Systems and Tools to Stop Drowning in Work
What’s more, since data flows that are implemented with pure functions are relatively easy to manage, they largely avoid the need for more complex architecture to manage them. This is the ultimate spirit of Post-Architecture: To use simple, straight-forward tools to solve our problems so that we can not only postpone potentially risky architectural... See more
Arend van Beelen jr. • Post-Architecture: Premature Abstraction Is the Root of All Evil
Another option is to bifurcate your system. That means splitting it into subsystems, where the output of one is the input of the next.
John Seiffer • Output Thinking: Scale Faster, Manage Better, Transform Your Company
The quickest way to deliver the best outcomes for users is by driving in the straightest possible lines of incremental improvement. Select from the best service-level architecture and deployment options based on full knowledge of need and purpose.
Vaughn Vernon • Strategic Monoliths and Microservices: Driving Innovation Using Purposeful Architecture (Addison-Wesley Signature Series (Vernon))
In fact, the choice is really between consistency and availability when partition happens. If no partition occurs, no trade-off has to be made.
Alex • System Design Interview - An insider's guide
There are various reasons why you might want to distribute a database across multiple machines: Scalability If your data volume, read load, or write load grows bigger than a single machine can handle, you can potentially spread the load across multiple machines. Fault tolerance/high availability If your application needs to continue working even if
... See more