Comments (3)
The main thing blocking this is choosing a reliable storage location. One interesting point is, if we're ready to consider S3 as a possible redundancy location, we automatically get an access controlled, directory-like interface to the data stored there. In other words, we could go ahead and start pointing some people to this for pulling datasets.
from beehive-server.
After thinking this over last night, I don't think this is right thing to have for the real deployment. It was more of a emergency reaction to how beehive1 is currently deployed. Cassandra is setup using a single node, so you don't get any of Cassandra's resilience guarantees during failure...
Cassandra is designed specifically to use replication and eventual consistency between a cluster nodes. In production, you'd have a number of nodes running in a cluster so you can drop a certain number of nodes at anytime and still continue running without data loss. Building on top of that reliability feature is the right way to go, if we're using Cassandra.
from beehive-server.
Turns out clustering works beautifully in the example I tried... It only took 10 minutes to setup a 3 node cluster on my own machine and load it with some test data. Using a keyspace with a replication factor of 2, things worked as expected - any single node could be taken completely offline and I still had access to the entire dataset. Just something to think about for production deployment...
from beehive-server.
Related Issues (20)
- Better error message and status codes from beehive-flask HOT 1
- Understand and prototype running core service in clustered mode
- Design and prototype provisioning of core piece of infrastructure HOT 4
- Ensure all important RabbitMQ exchanges and queues are defined as durable HOT 1
- Prototype static version of beehive dataset interface HOT 3
- Ensure SSL/TLS processes have correct configuration and are clear to use HOT 4
- Backup plan for RabbitMQ definitions HOT 1
- Document and review list of metrics + monitoring data in use
- Review ETL processes for sanitization, robustness and correctness HOT 1
- Schedule static dataset index regeneration HOT 1
- Survey "collaborator" beehive deployments
- Clean up Dockerfile and their locations HOT 1
- Start laying out critical Ansible playbooks for provisioning and managing servers
- Layout good places to start "virtual deployment seams" HOT 3
- Review reverse ssh tunnel process HOT 1
- Simplify container runtime management HOT 2
- Unify data model HOT 1
- Ensure update-node-users is enabled during install
- Ensure messages exchange is created during install
- 405 Method Not Allowed on beehive-registration server HOT 1
Recommend Projects
-
React
A declarative, efficient, and flexible JavaScript library for building user interfaces.
-
Vue.js
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
-
Typescript
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
-
TensorFlow
An Open Source Machine Learning Framework for Everyone
-
Django
The Web framework for perfectionists with deadlines.
-
Laravel
A PHP framework for web artisans
-
D3
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
-
Recommend Topics
-
javascript
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
-
web
Some thing interesting about web. New door for the world.
-
server
A server is a program made to process requests and deliver data to clients.
-
Machine learning
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
-
Visualization
Some thing interesting about visualization, use data art
-
Game
Some thing interesting about game, make everyone happy.
Recommend Org
-
Facebook
We are working to build community through open source technology. NB: members must have two-factor auth.
-
Microsoft
Open source projects and samples from Microsoft.
-
Google
Google ❤️ Open Source for everyone.
-
Alibaba
Alibaba Open Source for everyone
-
D3
Data-Driven Documents codes.
-
Tencent
China tencent open source team.
from beehive-server.