new neo4j resources

mattmakai · mattmakai · commit f1f57fd717d2 · 2019-02-11T07:16:47.000-05:00
diff --git a/content/pages/02-development-environments/07-shells.markdown b/content/pages/02-development-environments/07-shells.markdown
@@ -40,3 +40,9 @@ environment named `fullstackpython` within the macOS Terminal application.
   is a post by the creator of [Oil shell](http://www.oilshell.org/) that
   goes into the rationale for building a new shell even though so many others
   such as Bash, zsh, PowerShell and KornShell already exist.
+
+* [explainshell](https://explainshell.com/) 
+  ([source code](https://github.com/idank/explainshell)) is a wonderful
+  little tool that shows how input and arguments in the shell break
+  down and are interpreted by commands. The data is pulled from the 
+  [Ubuntu](/ubuntu.html) `man` pages.
diff --git a/content/pages/03-data/14-neo4j.markdown b/content/pages/03-data/14-neo4j.markdown
@@ -36,6 +36,11 @@ of the database.
   Transform and Load (ETL) tool to move your data from one database such as
   [MySQL](/mysql.html) into Neo4j.
 
+* [Migrating from MySQL to Neo4j](https://engineering.logicgate.com/migrating-from-mysql-to-neo4j-2f6cb63a73c8)
+  gives specific advice about how your data can change during a migration from
+  a relational database to a graph database which the author did not know 
+  before undertaking their own migration.
+
 
 ### Neo4j resources
 * [Building a Recommendation Engine with Neo4j and Python](https://www.youtube.com/watch?v=ILjTikVhT9k)
@@ -69,3 +74,7 @@ of the database.
 * [How to Import the Bitcoin Blockchain into Neo4j](https://neo4j.com/blog/import-bitcoin-blockchain-neo4j/)
   shows how to use an existing cryptocurrency data set within Neo4j to 
   perform analysis on the graph structure.
+
+* [Getting Started with Data Analysis using Neo4j](https://neo4j.com/blog/getting-started-data-analysis-neo4j/) 
+  is a programming language agnostic tutorial that explains how to 
+  do analysis directly in the Neo4j Cypher Query Language.
diff --git a/content/pages/05-deployment/38-serverless.markdown b/content/pages/05-deployment/38-serverless.markdown
@@ -186,6 +186,11 @@ have "beta" support with unclear production-worthiness. The following
 resources are some comparison articles to help you in your decision-making
 process for which platform to learn.
 
+* [Serverless at scale](https://blog.binaris.com/serverless-at-scale/)
+  compares the "Big 3" AWS, Azure and Google Cloud in serverless performance.
+  The author provides some nice data around average response times and 
+  outliers.
+
 * [Serverless hosting comparison](https://headmelted.com/serverless-showdown-4a771ca561d2)
   is a broad overview of documentation, community, pricing and other
   notes for the major platforms as well as IBM OpenWhisk and 
diff --git a/content/pages/06-devops/01-monitoring.markdown b/content/pages/06-devops/01-monitoring.markdown
@@ -167,9 +167,11 @@ Incident Management
 * The Collector Highlight Series has an article on [StatsD](http://blog.librato.com/posts/statsd)
   that explains how to install it and how it works.
 
-* This [survey on monitoring tools](http://kartar.net/2014/11/monitoring-survey---tools/)
-  has some nice data and graphs on what developers and operations folks use
-  in their environments.
+* OpenCensuss, OpenTracing and OpenMetrics are three projects that are trying
+  to create standards for application monitoring metrics.
+  [This article on the 3 projects](https://www.datadoghq.com/blog/instrument-opencensus-opentracing-and-openmetrics/)
+  is a helpful overview to understand what each one is trying to do and how
+  they compare to each other.
 
 
 ## Monitoring learning checklist
