Comments (1)
Some high level differences between Kapacitor and using CQs in InfluxDB:
- Kapacitor can do more than just store data back into InfluxDB, so if you ever plan to trigger an event etc off the aggregations I would start with Kapacitor.
- Kapacitor provides more flexible scheduling. ie. cron schedules versus just fixed periods.
- Kapacitor provides isolation. Using Kapacitor you can keep the heavy workload of computing aggregations off the InfluxDB database. Depending on scale this could be very important.
- Kapacitor is another failure point. If you are only planning on running a few aggregations then running another process to do so may be overkill.
Those are some high level differences. If you plan to rely heavily on aggregations then I would recommend Kapacitor, because it will be a more robust solution. That said, Kapacitor is a new product and if reliability is a hard requirement stick with CQs for now until Kapacitor has a few more releases under its belt.
from kapacitor.
Related Issues (20)
- Add JWT meta API authentication
- Backport #2754 to a 1.6.6 branch
- Caching of meta user does not seem to work
- Google Hangouts Chat integration - HTTP/Post issue
- impossible to run kapacitor in windows service
- Running kapacitor without connecting to influxdb
- `-dbrp` argument behavior
- Please upgrade flux to 0.191.0 HOT 1
- about deadman rule
- Alerts suddenly start getting inhibited
- kapacitord ignores commands following the `-config` flag HOT 1
- disable a task that generates a lot of alerts takes a very long time HOT 3
- kapacitor memory usage
- Kapacitor 1.7 isn't available through Homebrew HOT 3
- Replace, remove or make configurable - printing non-log output to stdout/stderr
- Group by part of tag
- kapacitor tasks migration
- kapacitor listen 9093
- Alert Data Field Value Integer Type Error HOT 1
- how to configure the deadman function to trigger a warning alert instead of a critical alert in kapacitor
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 kapacitor.