Category Archives: Conferences

[2018 oracle code one] CD/DevOps Live Cooking Show

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Continuous Delivery/DevOps Live Cooking Show
Speaker: Michael Huttermann (had trouble making the umlat)
@Huttermann
git.io/fxoch

For more blog posts, see The Oracle Code One table of contents

DevOps

  • Many definitions
  • Shared concepts, goals, tools

Early “DevOps” authors

  • Adam Smith
  • Edwards Demings
  • Eliyahu Moshe Goldratt

Concepts

  • Short cycle time from workspace to deploy/cloud. Helps to create own definition; doesn’t require a tool
  • Create pipeline – start with a value stream map
  • Need tools to accelerate cycle time
  • Pipeline is a donut, not a tube
  • Glue together existing tools
  • Use quality gates
  • Implement high degree of automation. Doesn’t need to be 100% automation

Pipelines

  • Make up the workflow
  • ex: continuous build, dev build, release candidate build, general availability build
  • Showed about 20 different steps for a pipeline
  • DevOps – contains a number of concerns so no need to say DevSecOps specifically [I have DevSecOps in two of my talk titles here to emphasize security]

Demo (selected stages)

  • Showed in Jenkins a number of jobs each. Many had a green box/description before it. Like a group? [how do you do that?]
  • Commit and push
  • Showed sonarlint giving feedback on code before push.
  • Blue Ocean view in Jenkins to show pipeline
  • Showed quality gate failing in SonarQube

My take: I like that the first half was lecture and the second half was a demo. It was the longest pipeline I’ve seen to date.

[2018 oracle code one] graph databases

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Let’s Make Graph Databases Fun agan with Java
Speaker: Otavo Santana & Elder Moraes
Tomitribe & Oracle

For more blog posts, see The Oracle Code One table of contents

Sematics

  • Web 3.0 – More interaction between machines
  • Search JCP. Get JC Penny vs Java Community Process
  • Search Ajax. Get cleaner, technology and soccer team

Relationships

  • Link pieces of data
  • Having metadata on relatioships is useful. (Ex: reason for travel, not just that does travel)

NoSQL (not only SQL)

  • Doesn’t use structure or transactions
  • Five diferent types – key/value, columns, document, graph, hybrid of multiple types
Term Key/value Columns Document Graph
Table Bucket Column Family Collection N/A
Row Key Value pair Column Document Vertex
Column N/a Key/value pair Key/value pair Vertex and edge property

 

  • CAP – consistencyy, availability, fault tolerance
  • Graph – neo4j, infogrpi, sones, hybergraphdb
  • Apache TinkerPop  like JDBC – try to standardize database interaction
    • Can add edge/verfix
    • has()  – like where cause
    • OutE() – edges
    • BothV() – reurn both ends of relationship
    • repeat/times – repeat action mltiple times to go through graph
    • repeat.until – repeat action until condition is true
  • JNoSQL – mapping/communication API. Like  a demo. Maps to Java object

My take: I learned a lot at this session! I really like the comparison of different database types and terms. I also liked the build up of queries and the Noe4J demo

[2018 oracle code one] Bulletproof Java Enterprise Applications

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Building Bulletproof Java Enterprise Applications
Speaker: Sebastian Daschner

For more blog posts, see The Oracle Code One table of contents

 

Being resilient

  • Don’t crash
  • Prevent faiures from casading
  • Don’t allow actions that are doomed to fail

Timeouts

  • Avoid deadlocks
  • Kill at some point so overall system and continue
  • Especially http and database timeouts.
  • Some libraries default to no timeouts

Retries

  • Immediately retry to avoid temporary failure – but be careful that not putting more load on a failing server
  • Avoid unnecessary error codes
  • Decide how often and how many times to retry

Java EE Extensions

My take: I like that there are actual code examples. I don’t like that the text based slides are in vi (or a screenshot of vi). Such a smal font and tons of wasted whitespace.