new patterns

Author: jayachristina

config.yaml

@@ -1,4 +1,4 @@
-baseURL: "https://jayachristina.github.io/solution-patterns"
+baseURL: "https://redhat-solution-patterns.github.io/solution-patterns"
 theme: "up-business-theme"
 languageCode: "en-us"
 
@@ -8,6 +8,8 @@ title: "Solution Patterns from Red Hat"
 
 summaryLength: 20
 
+paginate: 20
+
 params:
   title: "Solution Patterns"
   description: "Discover the art of the possible with Red Hat's rich portfolio with real world usecases."

content/patterns/solution-pattern-api-versioning.md

@@ -0,0 +1,28 @@
++++
+author = "Jaya Christina Baskaran (Red Hat)"
+title = "Navigate API evolution with versioning"
+date = "2019-04-02"
+description = "Navigate API evolution with versioning"
+tags = [
+    "kafka", "knative", "AI/ML"
+]
+categories = [
+    "themes",
+    "syntax",
+]
+series = ["Cloud Native Applications"]
+externalurl = "https://redhat-solution-patterns.github.io/solution-pattern-api-versioning"
+headerimage = "images/patterns/solution-pattern-api-versioning.png"
++++
+
+
+Navigating API evolution along with changing business needs and technology landscape with a practical example
+
+<!--more-->
+This solution pattern showcases an architecture which is scalable and efficient system capturing and responding to streaming data using Kafka as the streaming platform and AIML. With Event-Driven Architecture this system can connect to, and consume from a number of systems, services and data sources by responding to triggering events.
+
+This architecture demonstrates how an Event-Driven Architecture with Red Hat AMQ Streams and OpenShift Serverless can help build an intelligent system with OpenShift Data Science platform to drive business insights and drive an event-driven workflow.
+
+Contributors: Jaya Christina Baskaran (Red Hat)
+
+Explore the Solution Pattern: https://redhat-solution-patterns.github.io/solution-pattern-api-versioning

content/patterns/solution-pattern-camel-migration.md

@@ -1,7 +1,7 @@
 +++
 author = "Michael Thirion(Red Hat)"
 title = "Fuse to Apache Camel migration"
-date = "2019-03-05"
+date = "2019-04-01"
 description = "An accelerated path to migrating applications from Red Hat Fuse to Red Hat Build of Apache Camel based on templates."
 tags = [
     "3scale", "apis"
@@ -15,7 +15,6 @@ externalurl = "https://redhat-solution-patterns.github.io/solution-pattern-camel
 headerimage = "images/patterns/solution-pattern-camel-migration.png"
 +++
 
-
 An accelerated path to migrating applications from Red Hat Fuse to Red Hat Build of Apache Camel based on templates.
 
 <!--more-->

content/patterns/solution-pattern-edge-to-cloud-pipelines.md

@@ -0,0 +1,27 @@
++++
+author = "Bruno Meseguer (Red Hat), Huge Guerrero (Red Hat)"
+title = "Edge to Core Data Pipelines for AI/ML"
+date = "2019-04-05"
+description = "Edge to Core Data Pipelines for AI/ML"
+tags = [
+    "kafka", "knative", "AI/ML"
+]
+categories = [
+    "themes",
+    "syntax",
+]
+series = ["Cloud Native Applications"]
+externalurl = "https://redhat-solution-patterns.github.io/solution-pattern-edge-to-cloud-pipelines"
+headerimage = "images/patterns/solution-pattern-edge-to-cloud-pipelines.png"
++++
+
+End-to-end AI-enabled applications and data pipelines across the hybrid cloud
+
+<!--more-->
+This solution pattern showcases an architecture which is scalable and efficient system capturing and responding to streaming data using Kafka as the streaming platform and AIML. With Event-Driven Architecture this system can connect to, and consume from a number of systems, services and data sources by responding to triggering events.
+
+This architecture demonstrates how an Event-Driven Architecture with Red Hat AMQ Streams and OpenShift Serverless can help build an intelligent system with OpenShift Data Science platform to drive business insights and drive an event-driven workflow.
+
+Contributors: _Bruno Meseguer (Red Hat), Huge Guerrero (Red Hat)_
+
+Explore the Solution Pattern: https://redhat-solution-patterns.github.io/solution-pattern-edge-to-cloud-pipelines