Merge branch 'master' into releases

.github/workflows/release.yml

@@ -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

engine-docs/src/main/resources/docs-for-nb/08_showcase/index.md

@@ -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.