Docker Mastery: The Complete Toolset From a Docker Captan - Highlights and Discussion Section 1 of 8

I am taking the Docker Master: The Complete Toolset From a Docker Captain(Udemy course) in hopes I will be able to build a fully functional Jasper Reports CE Edition POC in a highly available configuration. I will be posting reviews of each section of the class to see if it helping with my POC build out.  For this blog post I will focus on the layout of the class and the first section out of 8 for the class.

Class structure:

The class is broken up in the following sections:

1. Course Intro and Docker Set Up
2. Creating and Using Containers like a Boss
3. Container Images, Where To Find Them and How To Build Them
4. Container Lifetime & Persistent Data: Volumes, Volumes, Volumes
5. Making It Easier with Docker Compose: The Multi-Container Tool
6. Docker Services and The Power of Swarm: Built-In Orchestration
7. Container Registries: Image Storage and Distribution
8. Bonus Section

Each of the sections have videos narrated by the author https://www.udemy.com/user/bretfisher/Bret Fisher and there are downloads of cheat sheets, slide decks and links off to other sites. 

Highlights of Section One

In section one Bret provides an introduction into the course, who he is, docker and then provides different modules to on what to install and how to install it for each operating system.  Bret does a nice job of pointing out the Docker Toolbox is still available for Windows 7 and Mac, but it is not easy to spot. 

The install videos do provide a nice step by step guide, but I already had a working CentOS Vagrant image that I was already using for my docker exploration and plan to continue to use that.

The last area that Bret touches on is the version format change for 2017 which now is YY.MM so example: 17.03 would be March 2017.  The Docker CE will have monthly releases and stable releases quarterly.  Docker EE will have the same quarterly release with each version supported for 1 year (That's right there is a built in upgrade cycle that should be kept up or fall out of support if your an EE customer)


So far I am happy with the course as it did fill in a few holes I had and looking forward to getting into the meet of the course in the days to come.

Mulesoft Milestone Demo: Mule 4 and Studio 7 - Highlights & Discussion (Part 2 of 3)

In this post I will discuss the highlights of the Mulesoft's webinar -  Mule 4 / Studio 7 Beta Walkthrough. This webinar is the second part of a three part series that Mulesoft is providing to introduce and drive beta testing of the new Mule 4 platform that includes improvements to the Anypoint Platform, release of Studio 7 and release of Mulesoft engine 4.

FAQ Review

• Mulesoft is looking for feedback to what they have changed in mule 4.  I will be downloading and trying out some of the new features and look for additional posting as I dive using 
• Some  users are having issues with new Studio with no connectors and this is caused by not having the JDK in the system path before any jre installations.  Studio 7 requires the additional tools from the JDK to run all the components.  I hope this is called out in the documentation or a check is added to the start up of Studio 7 letting the users know.  Here is a screen shot of the error from the webinar:

• Mulesoft now has a page tracking the changes for Mule 4 - https://mule4-docs.mulesoft.com/mule-user-guide/v/4.0/mule-4-changes
• The next Mule 4 Beta release will focus on - Mule SDK, CE distribution with DataWeave(This could be an interesting development and might allow for a hybrid license/open source deployment models), APIkit DataSense support, Scripting components, API Gateway, DataWeave support for COBOL copy book/flat files and new connectors

DataWeave Expression Language

• Why DataWeave?
• memory handled by the egnin
• random access
• concurrent access
• cache payloads if larger than memory
• reduce steps in flow - don't have to learn MEL and Java to get access to data
• When to use DataWeave?
• Mulesoft's opinion is that integration logic should be broken apart for separation of concerns, testability, maintainability and using the best tool for the job.  I agree with the  

• Flows - should only handle sequencing of data and the operations of data.  I do agree that this makes sense that flows are well suited to control the flow of the data and operations against the data.  This really shines in the studio with the ability to create a visual shell of how data and operations to data would work without writing a line of code.
• Expressions (DataWeave) - Mulesoft has optimized DataWeave for data and with built in streaming it makes it easy to have random access to the data throughout the flow,  the code will be less verbose and easier to maintain
• Code (Java Classes or Groovy, JavaScript (Rhino), Python, Ruby, or Beanshell) - Mulesoft recommends externalizing the code outside of mulesoft and allowing mulesoft to make calls to it.  This really seems no different than the API Led Connectivity and if your calling code it really should be built as a micro service that could be fronted by a Mulesoft API or not.
• Calling Java code from DataWeave 
• The webinar does a review of how to call Java code from DataWeave, however I would avoid doing this so the DataWeave expressions focus on data and not business logic which can be built in.
• Simplified Precedence Rules
• All operators and traits are functions in Mule 4 will make it easier to understand DataWeave

• The style for name types seems cleaner to me, but I think this is really just a personal preference on this change 

• The additional parentheses will drive developers up a way, but I think in the end we will actually appreciate the auto complete when building complex DataWeave operations

• Typing for Variables/Function Parameters

• Multi Line comments is now supported!!!!

Streaming

• Payload is read into memory as it is consumed
• Concurrent & random access is enabled
• Streaming defaults can be customized on a stream strategy 
• File Store (This approach is actually faster than in memory)
• half MB stored in memory and rest is stored to disk and read in in half MB chunks
• In Memory
• half MB stored in memory and is incremented
• Example how to configure the stream:"

• Streaming can be disabled
• Streams can work for object as object streams

Execution Engine

• Processing strategies and exchanges no longer needed
• Flows are non blocking
• Flows are synch by default (Same as Mule 3)
• Use async instead of one way exchange pattern
• Global thread pools for all flows
• These pools can be configured 
• Thread pools are now built around I/O, Light CPU and Heavy CPU and the number of threads is optimized for you
• Controlling Concurrency - Coming soon in a release candidate and will be controlled at the flow level and it is not controlled at the thread pool level
• This removes processing only one message at time for that use case

Additional information:

• Download Mule 4 Beta
• Mule 4 Documentation 
• Mule 4 FAQ
• Mule 4 Datasheet

Mulesoft Milestone Demo: Mule 4 and Studio 7 - Highlights & Discussion (Part 1 of 3)

In this post I will discuss the highlights of the Mulesoft's webinar -  Milestone Demo: Mule 4 & Studio 7.  This webinar is the first part of a three part series that Mulesoft is providing to introduce and drive beta testing of the new Mule 4 platform that includes improvements to the Anypoint Platform, release of Studio 7 and release of Mulesoft engine 4.

Simplified Development and Studio 7 Improvements 

Data Access and Transport Streaming

• Dataweave can be used directly in connectors.  
• This should help developers have a common data access model

• Auto Caching of payloads larger than memory space 
• Developers will have to be cognizant that the cache would most likely be not encrypted on disk and care will have to be taken when dealing with  PHI or PCI data)
• Mule now allows access to payloads without the need to transform to java objects
• This will reduce clutter in flows and allow for developers to focus on the work and not transforming data.

Simplified Connectors (File, JMS, FTP and VM)

• Now operation based such as read file, write file, read jms, etc...  
• Studio 7 will actually have new connectors for each operation which will make it a lot easier to use these types of connectors 
• Retry logic will be built in
• Really looking forward to more information about retries as this is a pretty basic use case in data integration 
• Mulesoft provided a simple flow with a filewatcher, File Create Directory and File Write connections to highlight how it will work

Try Catch Scope Improvements

• Try block introduced to allow try catches at any point in the flow
• Errors that can be caught are now displayed in Studio to allow for easier 
• The catch block can propagate errors to calling flows
• Improved exception information and still able to get low level exception trace
• Example from the slide deck that highlights wrapping components and how the error types are called out:

1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16

<try transactionalAction=”ALWAYS_BEGIN” transactionType=”XA”> <http:request .. /> <email:send .. /> <error-handler> <on-error type=”500_STATUS_CODE”> <notify-admin-of-possible-bug/> </on-error> <on-error type=”CONNECTIVITY”> <notify-admin-critical-error/> <on-error> <on-error type=”WRONG_ADDRES”> <send-email/> </on-error> </error-handler>

Runtime Changes

Connectors distributor outside the runtime

• The runtime now isolates the connectors from the runtime which allows the connectors to be upgrade independently of the runtime.  This will be be helpful if you need a new feature of a core connector, but don't have the time to wait for a full upgrade
• It appears that the Anypoint Exchange will be how the connectors will be managed and it also appears from the webinar that you will be able to extend your APIs as connectors in exchange and then pull them into Studio 7.  If this works as it looks it will drive reuse and make it really use to use other teams APIs

Self Tuning Runtime

• Mule engine is now non blocking
• This will help with high load APIs and interested in any metrics Mulesoft will have around this
• Tunes based on the workload such as high IO processes will be handled differently than high CPU loads
• Global thread pool with reduced memory footprint

Mule API and SDK

Single Extensibility Layer

• Mulesoft will now have a single extensibility layer for Java components, Mulesoft flows and API specs (RAML or Swagger)
• Consistent UX for all connectors
• Enhanced metadata that will allow the Exchange to track dependencies of APIs, measure impacts and measure reuse

Mule 4 Migration 

• 3.X will continued to be supported till 2021 
• 3.9 is already planned
• Migration tools are being developed 

My thoughts are Mule 4 is going to be an exciting update to the platform and I can't wait for the remaining parts of the webinar.  I hope mulesoft provides additional in depth details around the items in the presentation.

If anyone would like the slide I have found them available at -  https://www.slideshare.net/eaiesb/mule-4-and-anypoint-studio-demo

If you would like to have access to the Webinar or sign up for part 3 - https://www.mulesoft.com/demo/beta/mule-4