Rootconf 2019

Rootconf 2019

On infrastructure security, DevOps and distributed systems.

DD

Denis Dsouza

@denisdsouza

Log Analytics with ELK stack (Architecture for aggressive cost optimization and infinite data scale)

Submitted Jan 13, 2019

Should you build your own log analytics platform or buy one of the many many services out there? Well, we evaluated, compared and decided to build a self managed ELK stack because none of them fit our requirements.
In this session, we will walk through various design choices we made to have a high performing log analytics cluster, aggressively optimized for cost and support for infinite data scale without exponentially increasing cost.
If you are planning on setting up or re-looking at your log analytics, this could be interesting to you.

Outline

Business Requirements/Use Cases
- Log analysis platform (Application, Web-Server, Database logs)
- Data Ingestion rate: ~300GB/day
- Frequently accessed data: last 8 days
- Infrequently accessed data: 82 days (90 - 8 days)
- Uptime: 99.90
- Hot Retention period: 90 days
- Cold Retention period: 90 days (with potential to increase)
- Cost effective solution

Areas of optimization
- Application
- Infrastructure

Cost Optimization
- Replica counts and its impacts
- How to run ELK on Spot instances correctly.
- EBS Costs can be high, how to set up Hot / Cold data storage
- Auto Scaling
- On-demand ELK Cluster

Infinite Data Retention
- How to setup S3 as a hot backup
- Recover on Demand

Numbers/Tradeoffs
- Cost/GB data ingested
- Trade-offs made
- DR mechanisms

Conclusion
- Building a log analytics is not rocket science. But it can be painfully iterative if you are not aware of the options. Be aware of the trade-offs you are OK making and you can roll out a solution specifically optimized for that.

Requirements

Have a need for setting up a log-analytics system at scale or has already done the same.

Speaker bio

I am a DevOps Engineer at Moonfrog Labs.
I have over 6 years of experience and have worked with a variety of technologies in both service-based and product-based organisations.
Now exploring technology in gaming at its best in Moonfrog Labs for the past 1.5 year.

How do I spend my free time ?
Learning new technologies and playing PC games

Slides

https://docs.google.com/presentation/d/1PiLsy-UwkB1IYhorTq6KWYTCmcuVg2OOK-8D92tlFQs/edit?usp=sharing

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