mirror of
https://github.com/nosqlbench/nosqlbench.git
synced 2024-12-23 15:40:44 -06:00
docs and actions update
This commit is contained in:
parent
90dae2fdfb
commit
7ae66dca2b
4
.github/workflows/release.yml
vendored
4
.github/workflows/release.yml
vendored
@ -128,7 +128,7 @@ jobs:
|
||||
asset_path: nb/target/nb.jar
|
||||
asset_name: nb.jar
|
||||
asset_content_type: application/octet-stream
|
||||
upload_url: https://uploads.github.com/repos/nosqlbench/nosqlbench/releases/${LATEST_GH_RELEASE_ID}/assets?name=nb.jar
|
||||
upload_url: https://uploads.github.com/repos/nosqlbench/nosqlbench/releases/${{ env.LATEST_GH_RELEASE_ID }}/assets?name=nb.jar
|
||||
- name: upload binary
|
||||
uses: actions/upload-release-asset@v1
|
||||
env:
|
||||
@ -137,7 +137,7 @@ jobs:
|
||||
asset_path: nb/target/nb
|
||||
asset_name: nb
|
||||
asset_content_type: application/octet-stream
|
||||
upload_url: https://uploads.github.com/repos/nosqlbench/nosqlbench/releases/${LATEST_GH_RELEASE_ID}/assets?name=nb
|
||||
upload_url: https://uploads.github.com/repos/nosqlbench/nosqlbench/releases/${{ env.LATEST_GH_RELEASE_ID }}/assets?name=nb
|
||||
|
||||
docs:
|
||||
needs: release
|
||||
|
@ -0,0 +1,44 @@
|
||||
---
|
||||
title: NoSQLBench Showcase
|
||||
weight: 80
|
||||
---
|
||||
|
||||
Since NoSQLBench is new on the scene in its current form, you may be wondering
|
||||
why you would want to use it over any other tool. That is what this section is all
|
||||
about.
|
||||
|
||||
First, a brief overview, vis-a-vis some tools you may have already used.
|
||||
|
||||
NoSQLBench can do everything that other testing tools can do, and more. It
|
||||
achieves this by focusing on a scalable user experience in combination with a
|
||||
modular internal architecture.
|
||||
|
||||
NoSQLBench is a workload construction and simulation tool for scalable systems
|
||||
testing. That is an entirely different scope of endeavor than most other tools.
|
||||
|
||||
Here are some of the serious capabilities that are unique to NoSQLBench:
|
||||
|
||||
- Metrics are built-in
|
||||
- Scenario Scripting
|
||||
- Command Line Scripting
|
||||
- Scripting Extensions
|
||||
- Multi-Protocol Support
|
||||
- Analysis Methods
|
||||
- Deterministic Workloads
|
||||
- Advanced Variate Sampling
|
||||
- Attention to Performance
|
||||
- Coordinated Omission is not special
|
||||
- Synchronous and Asynchronous
|
||||
- Flexible Sequencing
|
||||
- Advanced Rate Limiting
|
||||
- Blazing fast Procedural Data Generation
|
||||
- Virtual Data Set Recipes with Lambdas
|
||||
- Experimentation Friendly
|
||||
- Industrial Strength
|
||||
- Built-In Seed Data
|
||||
- Not limited by a "DSL"
|
||||
|
||||
1. You can control your test data, down to the operation.
|
||||
2. All operations are deterministic according to the cycle.
|
||||
3. The core concepts are battle tested and refined
|
||||
4. We serve quick workflows as well as advanced testing scenarios.
|
Loading…
Reference in New Issue
Block a user