fix(docs): file names and links for side inputs (#1037)

Signed-off-by: Derek Wang <[email protected]>

README.md

@@ -9,17 +9,17 @@
 
 ## Summary
 
-Numaflow is a Kubernetes-native tool for running massively parallel stream processing. A Numaflow Pipeline is implemented 
+Numaflow is a Kubernetes-native tool for running massively parallel stream processing. A Numaflow Pipeline is implemented
 as a Kubernetes custom resource and consists of one or more source, data processing, and sink vertices.
 
-Numaflow installs in a few minutes and is easier and cheaper to use for simple data processing applications than a 
+Numaflow installs in a few minutes and is easier and cheaper to use for simple data processing applications than a
 full-featured stream processing platforms.
 
 ## Use Cases
 
-- Real-time data analytics applications. 
-- Event driven applications such as anomaly detection, monitoring, and alerting. 
-- Streaming applications such as data instrumentation and data movement. 
+- Real-time data analytics applications.
+- Event driven applications such as anomaly detection, monitoring, and alerting.
+- Streaming applications such as data instrumentation and data movement.
 - Workflows running in a streaming manner.
 
 ## Key Features
@@ -37,7 +37,6 @@ full-featured stream processing platforms.
 
 ## Roadmap
 
-- JOIN Vertex and Side Inputs feature (v0.10)
 - User-defined Source (v0.11)
 
 ## Demo

docs/README.md

@@ -1,9 +1,9 @@
 # Numaflow
 
-Numaflow is a Kubernetes-native tool for running massively parallel stream processing. A Numaflow Pipeline is implemented 
+Numaflow is a Kubernetes-native tool for running massively parallel stream processing. A Numaflow Pipeline is implemented
 as a Kubernetes custom resource and consists of one or more source, data processing, and sink vertices.
 
-Numaflow installs in a few minutes and is easier and cheaper to use for simple data processing applications than a full-featured 
+Numaflow installs in a few minutes and is easier and cheaper to use for simple data processing applications than a full-featured
 stream processing platforms.
 
 ## Use Cases
@@ -29,7 +29,6 @@ stream processing platforms.
 
 ## Roadmap
 
-- JOIN Vertex and Side Inputs feature (v0.10)
 - User-defined Source (v0.11)
 
 ## Demo

docs/specifications/side-inputs.md

@@ -1,7 +1,5 @@
 # Side Inputs
 
-![Proposal](../assets/proposal.svg)
-
 Side Inputs allow the user defined functions (including UDF, UDSink, Transformer, etc.) to access slow updated data or configuration (such as database, file system, etc.) without needing to load it during each message processing. Side Inputs are read-only and can be used in both batch and streaming jobs.
 
 ## Requirements

mkdocs.yml

@@ -87,7 +87,7 @@ nav:
           - user-guide/reference/conditional-forwarding.md
           - user-guide/reference/join-vertex.md
           - user-guide/reference/multi-partition.md
-          - user-guide/reference/sideinputs.md
+          - user-guide/reference/side-inputs.md
           - Configuration:              
             - user-guide/reference/configuration/container-resources.md
             - user-guide/reference/configuration/volumes.md
@@ -119,7 +119,7 @@ nav:
           - specifications/controllers.md
           - specifications/autoscaling.md
           - Edges, Buffers and Buckets: "specifications/edges-buffers-buckets.md"
-          - Side Inputes: "specifications/side-inputs.md"
+          - Side Inputs: "specifications/side-inputs.md"
       - development/debugging.md
       - development/static-code-analysis.md
       - development/releasing.md