Client Side Caching in SDL DXA using Redis

What is Redis?

Redis (Remote Dictionary Server)  is an in-memory data structure store, used as a database, cache and message broker. It supports data structures such as strings, hashes, lists, sets, sorted sets with range queries, bitmaps, hyperloglogs and geospatial indexes with radius queries.

Redis is good for cache, but it's much more than just a cache. It's high speed fully in-memory database.

Not just a cache:-

• In memory key-value storage.
• Support multiple datatypes (strings, hashes, lists, sets, sorted sets, bitmaps, and hyperloglogs).
• It provides an ability to store cache data into physical storage (if needed).
• Support the pub-sub model.
• Redis cache provides replication for high availability (master/slave).

SDL DXA comes up with the pre-defined configuration of Redis for client-side caching to improve the performance of Web-application.

Pre-requisites:-

• SDL Web 8.5
• SDL DXA 
• Redis
• Redis Desktop Manager
• Redis Server and Redis CLI
• And If you want to run this on docker run docker pull redis command. Check out the official Redis repository on the docker 

Installing the Redis

• Download the Redis and extract the zip file in a directory at any location.e;g in c:\redis

  

  Redis

    Next is open the command prompt and run following command

• redis-server.exe to start the Redis server

  

  Redis server

• redis-cli.exe to start the command line interface. redis-cli is the Redis command line interface, a simple program that allows to send commands to Redis and read the replies sent by the server, directly from the terminal.

  

  Redis CLI

Next, is configure DXA to use Redis for client-side caching go to DXA web.config and navigate to <sdl.web.delivery>  node and there we already have Redis configuration setup we just need to update the cacheName. You set the policy of expiry as per the requirement.

Redis Configuration in DXA Web.config

Restart the IIS and spin the DXA Website, the site will trigger the page caching and it will add it to the Redis database.

To test the data is saved in Redis or not install Redis Desktop manager and refresh the page to load the data. In the below image you see data is cached in the Redis.

Redis Desktop Manager

Happy Coding and Keep Sharing!!!

Installing SDL Content Delivery Microservices in Docker

In the last couple of blogs, we learned how to use Docker with SDL DXA Html-Theming and SDL DXA. Today we are going to setup Microservices in Docker. The microservices, also called Content Interaction Services, are the server-side components of Content Delivery. The Microservices is based on Java Spring-boot which uses embedded Tomcat to run the Services.

To learn more about SDL DXA, DXA Html-theming and SDL WEB with docker, please follow below links.

1. SDL WEB, Docker and Cloud Containerization
2. Run DXA in Docker
3. DXA theming in Docker

After this, we can say that we managed to run SDL Content Delivery Environment in Docker.

I downloaded the latest CD HotFix from SDL FTP. In this blog, we are going to Install Content and Context Microservices in docker.

Steps:-

1. Download the latest CD HotFixes.
2. Create a new Folder and copy the Content standalone folder in it.
3. Configure cd_Storage_conf.xml file.
4. Copy License file in the config folder.
5. Update Logback.xml
6. Create Docker File in the root.

Docker File

1:  FROM java:8  
2:  COPY Contentstandalone /  
3:  RUN chmod +x /bin/start.sh  
4:  CMD bash -C '/bin/start.sh'  
5:  EXPOSE 8091  

Next, is we need to BUILD the Docker container.

 docker build -t content-service-staging .  

If everything goes well and it builds successfully next is RUN it.

 docker run -p 8091:8091 content-service-staging  

Below is the output of the above command.

Build Container 

Run the docker container 

Let's browse the Content service

Content Microservice running in Docker

SDL Content Microservice is up and running. Similarly, I followed the same steps in order to install the Context Microservice.

Context Microservice

Context Microservice is up and running in Docker

So, We've Dockerised SDL Content and Context Microservices, it was quick and simple most of the changes/configuration we did is the standard part of the installation of the SDL Microservices.

Happy Coding and Keep Sharing !!!!

Scaling SDL WEB 8.5 Installing CM and Publisher on Dedicated Machines

One of the biggest advantages of using SDL WEB (Tridion) is its scalability features. Last week, I was working on a task where I need to implement/Configure highly scalable SDL WEB 8.5 infrastructure.

Today, we are going to see one of them and that is "How to install CM and Publishers on Dedicated machines" to improve publishing efficiency.

Step I followed to configure CME and Publisher on a dedicated machine.

1. Install all the core components on your content manager server
2. Fill all the Database/ Website/ Topology related details.
3. Once your setup is completed and you are able to browse CME go to windows service and disable the following services from content manager server. 
1. Tridion Content Distributor Transport Service
2. Tridion Content Manager Publisher Service
3. This will stop the content manager server from doing the publishing

Set up Publisher servers

1. Run the installer again on Publisher servers.
2. Fill all the DB details and user accounts details.
3. Transfer the cd_transport_conf.xml file from Content Manager Server to the same location on the new Publisher Servers.
4. On Publisher servers we need to stop/disable the following services.
1. Tridion Content Manager Workflow Agent Service
2. Tridion Content Manager Service Host Service
3. Tridion Content Manager Search Indexer
4. Tridion Content Manager Batch Processor Service
5. Restart the following services 
1. Tridion Content Distributor Transport Service
2. Tridion Content Manager Publisher Service

Now, new publisher servers are ready to publish and transport the package to the deployers. We can scale this further depending upon the requirement. 

Happy Coding and Keep Sharing !!! 

SDL Web, Docker and Cloud Containerization

What are containers

•       Containers are a way to package software in a format that can run isolated on a shared operating system.

•       A container wraps an application in a complete package that contains everything to run the application – code, libraries, dependencies, runtimes.

•       A container image is a lightweight, stand-alone, executable package of a piece of software that includes everything needed to run it: code, runtime, system tools, system libraries, settings. Available for both Linux and Windows-based apps, the containerized software will always run the same, regardless of the environment

•       Containers isolate software from its surroundings, for example, differences between development and staging environments and help reduce conflicts between teams running different software on the same infrastructure.

What is Docker

•       Docker is a leading platform for Containerization of the application

•       Docker allows you to package all pieces of your application into a single container so that your application will run same everywhere without worrying about the environment dependency and complexities.

•       Docker is a tool that is designed to benefit both developers and system administrators, making it a part of many DevOps.

•       For developers, it means that they can focus on writing code without worrying about the system that it will ultimately be running on.

•       In a way, Docker is a bit like a virtual machine. But unlike a virtual machine, rather than creating a whole virtual operating system.

•       It is a tool designed to make it easier to create, deploy, and run applications by using containers. Containers allow a developer to package up an application with all of the parts it needs, such as libraries and other dependencies, and ship it all out as one package.

Containers Vs Virtual Machine

•       Containers are an abstraction at the app layer that packages code and dependencies together. 

•       Containers take up less space than VMs

•       Virtual machines (VMs) are an abstraction of physical hardware turning one server into many servers

•       Each VM includes a full copy of an operating system. VMs can also be slow to boot

Docker Advantages

•          Automation of repetitive and tedious deployment tasks.

•          Faster onboarding of new resource.

•          Faster shipment of new features and fixes without downtime.

•          Easy and real-time scaling of application.

•          Easy Distribution, Share, and Configuration of applications.

•          High security out of the box.

•          Improve efficiency of DevOps.

•          Modernize traditional apps faster and without investing huge without going through complete SDLC.

Docker Disadvantages

•          Better performance than Virtual Machines but slower than Bare-Metal.

•          Isolation and security are lesser as compared to the Virtual Machines.

•          Storing data such that it is available even after the container is shut down is quite complicated.

•       Not all applications benefit from containers – Cannot be blindly adopted for each and every application.

 Comparison between AWS, Google, and Azure Cloud Containerization

AWS Cloud – The AWS Cloud provides Amazon EC2 Container Services (Amazon ECS) which support container application and so let you run your Docker containers on a managed cluster of Amazon EC2 instances.

Google Cloud – Google offers Google Container Engine which lets you run Docker containers on Google Cloud.

MS Azure – Microsoft also offers Azure container service to allow deployment, management, and execution of Container applications.

Docker and SDL WEB 

With the release of SDL Web, the Dockerization becomes quite easy

SDL Web is quite Docker friendly because of the following:

·         Micro-service based architecture.

·         Parameterized config files.

             ·       License-free web application.

SDL WEB – Advantages of using Docker

•         Great time and effort saving for DevOps
•         Complexities of SDL CD Deployment is encapsulated and allows the non-Tridion experts to do the deployment.
•         Scaling of servers is quite easy.
•         The overall cost of resources will be optimized as compared to Virtual Machines.

Quick Links to learn more on SDL WEB with Docker.

http://hem-kant.blogspot.com/2017/08/how-to-customize-dxa-theme-step-2.html
http://hem-kant.blogspot.com/2017/11/storage-extension-using-elasticsearch-and-docker.html
http://hem-kant.blogspot.com/2018/03/run-sdl-dxa-inside-windows-docker.html

   Happy Coding and Keep Sharing !!!!

SDL WEB and TLS 1.2 or higher

Are you still using the SSL/early TLS protocols? 

Do you work with partners or customers who haven’t yet started the migration away from SSL/early TLS to a more secure encryption protocol? It's time to say goodbye to SSL/early TLS and reducing the risk of being breached.

On 30 June 2018?

30 June 2018 is the deadline for disabling SSL/early TLS and implementing a more secure encryption protocol – TLS 1.1 or higher (TLS v1.2 is strongly encouraged) in order to meet the PCI Data Security Standard (PCI DSS).

What is TLS?

TLS stands for Transport Layer Security and is the successor to SSL (Secure Sockets Layer). However, both these terms are commonly thrown around a lot online and you might see them both referred to as simply SSL.  TLS provides secure communication between web browsers and servers. The connection itself is secure because symmetric cryptography is used to encrypt the data transmitted. The keys are uniquely generated for each connection and are based on a shared secret negotiated at the beginning of the session, also known as a TLS handshake. Many IP-based protocols, such as HTTPS, SMTP, POP3, FTP support TLS to encrypt data.

In my last project, we faced this issue where client's security and infra team enabled TLS 1.3 on servers and while implementing SDL WEB 8.5 we start getting this issue.

Issue because of TLS 1.3

After investigating and consulting it with SDL we've found the solution for this, SDL WEB 8.5 supports till 1.2 and for that, we need to make some adjustment in the registry. Below are the registry entry details that fixed the algorithm and TLS issue for us.

TLS 1.0

TLS 1.0 Client

TLS 1.1 Client

TLS 1.2 client

[HKEY_LOCAL_MACHINE\SOFTWARE\Microsoft\.NETFramework\v4.0.30319]"SchUseStrongCrypto"=dword:00000001

New Entry Required  

[HKEY_LOCAL_MACHINE\SOFTWARE\Wow6432Node\Microsoft\.NETFramework\v4.0.30319]"SchUseStrongCrypto"=dword:00000001

New Entry Required

Happy Coding and Keep Sharing !!!

SDL Tridion with IBM Watson Tone Analyzer

The Tone Analyzer service analyzes the tone of input content.

One of the advancements of artificial intelligence and machine learning to content management systems is understanding the performance of content. Content creators can analyze how content has come across to readers, which tone resonates with which audience.

As a content creator and marketer, being able to perform tone analyzing is one of the best features powered by machine learning. IBM Watson Tone Analyzer service as it detects emotional, social, and language tones in written text. The Tone Analyzer provides insight on how the content is coming across to readers, and for each sub-tone, it provides a score between 0 and 1 if the score is 0.75 or higher is considered most accurate.

In this article, we are going to see how we can use this service with SDL Tridion to analyze the website content tone. I have created an ASP.NET MVC application and used it as a custom page in Tridion.

Custom Page

 In this application, we have three sections.

• Read data based on URL we enter and it will analyze the content tone. 
• Analyzed data based on the custom text "your own text".
• And last is "Endpoint is exposed it will take the text as input and returns JSON ".

Let's see how it works with the website URL, here we need to enter the URL of our website or any link that we want to analyze and the application will read all its HTML text attributes and its content. In the given example I have configured H1, H2, H3, H4 and P tags we can configure other tags as well. So any URL that we enter, the application will scan that webpage and extract the data of all the above attributes and send it to IBM Tone service to analyze. For the demo, I scanned the Analyzer web application itself to see how the content has come across to readers.

Analyzed Content by URL

Next, is custom text, Here you can enter the text manually and understand the tone before we actually published it or entering in any component.

Your Own Custom Text

The last one is an Endpoint that will take text input and returns JSON data. So if you want to use this service you can use this endpoint directly.

Endpoint

Finally, this is also available on Docker I pushed this on my Docker account you can download the docker image and explore the Tone Analyzer service. This has some limitation since I am using Dev account here, only limited service calls are allowed.

Docker Image

Happy Coding and Keep Sharing !!!!

SDL Tridion with IBM Watson Assistant

Well, in the past I've learned and worked on many CMS systems but got engaged with SDL Tridion and one thing I noticed that they all have all the common features available e;g. Targeting, Personalization, Experience manager (InLine Editing), Analytics, Content Management etc.

"It's time to make your CMS more intelligent."

 I would like to share my knowledge and findings on how we can use Artificial Intelligence and Machine Learning technique in SDL Tridion in the form of a ChatBot Assistant with the help of IBM Watson Assistant service. I've trained this BOT to help CMS user and answer most commonly and frequently asked questions.

Especially for non-technical users "Content Author" with their most frequently asked questions.  I trained this BOT to answer based on DXA implementation and on most common scenarios "it's still learning", but if you want you can educate it according to your CMS implementation.

• "Who can give me access on CMS or any specific Publication "
• "Where, I should create content as per the blueprint hierarchy"   
• "Where I should create Templates"
• "Where I should create schema"

To know more about IBM Watson Assistant please refer my blogs.

• How to Configure IBM Waston Assistant
• How to use Watson Rest API using C#
• Create sample Chat-App

Today we are going to integrate IBM Waston Assistant sample ChatBot in SDL Tridion and for that, I have created an Alchemy Plugin. It as pretty simple and StraightForward. You can always extend the functionality, not limited to ChatBot only you will come to know once you start exploring it.

If you are new to Alchemy please visit us at WebStore and Alchemy4Tridion

Install Alchemy Plugin

Conversation between user and Watson

Happy coding and keep sharing !!!