Surat MuleSoft Meetup#2 - Anypoint Runtime Fabric

1. : Sept 26th
2020 :
MuleSoft Runtime Fabric and Azure Devops With
MuleSoft
[Surat – India]
Virtual Meetup #2

2. All contents © MuleSoft Inc.
Organizers
2
Jitendra Pravin Bafna
Managing Solution Architect
Capgemini

3. All contents © MuleSoft Inc.
Speakers
3
Jitendra Pravin Bafna
Managing Solution Architect
Capgemini
Sadik Ali
Architect
Kelton Tech. Solutions

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Agenda
4
3 What is Anypoint Runtime Fabric?1
Anypoint Runtime Fabric Architecture and Components2
Runtime Fabric Manual Installation Demonstration3
RTF on AWS and Terraform4
RTF Logging, Monitoring, Scaling, Security5
Mule Maven Plugin and Azure DevOps With MuleSoft6

5. Introduction to MuleSoft

6. All contents © MuleSoft Inc.
Bit of History
6
The "mule" in the name comes from the drudgery, or "donkey work," of data
integration that our platform was created to escape. Also, like a mule, it
deliver the strength of a donkey to haul the heavy workload, and the speed
of a racehorse to get it done quickly.
The company originally provided middleware and messaging, and later
expanded to provide an integration platform as a service (iPaaS) approach
for companies through its main product, Anypoint Platform. MuleSoft's
Anypoint Platform includes various components such as Anypoint Design
Center, which allows API developers to design and build APIs; Anypoint
Exchange, a library for API providers to share APIs, templa-
tes, and assets; and Anypoint Management Center, a centralized web interface to analyze, manage, and monitor APIs and
integrations. MuleSoft also offers the Mule runtime engine, a runtime solution for connecting enterprise applications
on-premises and to the cloud, designed to eliminate the need for custom point-to-point integration code. On May 2, 2018,
Salesforce acquired Mulesoft.

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❖ A container service that automates and orchestrates the deployment of Mule applications
❖ to private cloud infrastructure and on-premises data centers
❖ Runs on customer-hosted infrastructure on AWS, Azure, virtual machines (VMs) or bare-metal servers
❖ Requires the use of the control plane hosted by MuleSoft
What is Runtime Fabric?

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❖ Isolation between applications by running a separate Mule Runtime per application.
❖ Ability to run multiple versions of Mule runtime on the same set of resources.
❖ Scaling applications across multiple replicas.
❖ Automation application failover.
❖ Automated runtime update.
❖ Application management with Anypoint Runtime Manager.
What is Runtime Fabric ? …… continue

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Different from other deployments
RTF StandAlone Mule Cloud Hub (CH)
Hosted No (on-premise/private cloud) No (on-premise/private cloud) Yes
Infra. owned/managed by Customer Customer Mulesoft
Management plane US and EU control plane (GovCloud
is currently not supported)
CH/PCE CH
Mule Runtime Containerized (Kubernetes/Docker) Standalone Mule server Managed by MS (currently
standalone on EC2, will be
moving to RTF cloud)
Setup No Mule server setup required Mule server(s) setup/configuration
required
N/A
***Elasticity/Isolation High (apps don’t share resources) Low (apps share resources on the
same JVM)
High (apps don’t share resources)

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Why should recommend and its benefits ?
❖ Wants to deploy runtimes on their own premises (Data center, private IaaS).
❖ Can afford at least 6 servers for Anypoint Runtime Fabric.
❖ Wants on alternative to deploying on AWS.

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Why should recommend and its benefits ?.. Continue
❖ Increased reliability through isolation between applications Horizontal scaling
❖ Registration of Mule applications and APIs with MuleSoft managed control plane out of the box
❖ Zero downtime application re- deployments
❖ Supported deployments on Azure, AWS, VM and physical servers
❖ No resources required to support or maintain orchestration / automation.

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Why should recommend and its benefits ?

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RTF Architecture

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RTF Architecture .. continue…

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RTF Architecture .. continue…

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RTF Configuration - Development
At least 1 controller VM to operate Runtime
Fabric (max 5)
– 2 cores each minimum
– 8 Gb memory minimum
– 80 Gb dedicated disk for the operating system
– 60 Gb dedicated disk with 3000 provisioned for Etcd
– 100 Gb dedicated disk with 1000 provisioned IOPS
for Docker
• At least 2 worker VMs to run Mule applications
(max 16)
– 2 cores each minimum
– 15 Gb memory minimum
– 80 Gb dedicated disk for the operating system
– 100 Gb dedicated disk with 1000 provisioned IOPS
for Dockerelopment configuration

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RTF Configuration - Production
At least 3 controller VMs to operate Runtime
Fabric (max 5)
– 2 cores each minimum
– 8 Gb memory minimum
– 80 Gb dedicated disk for the operating system
– 60 Gb dedicated disk with 3000 provisioned
IOPS for Etcd
– 250 Gb dedicated disk with 1000 provisioned
IOPS for Docker
At least 2 worker VMs to run Mule applications
(max 16)
– 2 cores each minimum
– 15 Gb memory minimum
– 80 Gb dedicated disk for the operating system
– 250 Gb dedicated disk with 1000 provisioned
IOPS for Docker

18. DEMO

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Terraform and AWS
MuleSoft provides a Terraform script that you run to provision the required AWS resources. You can modify the
provisioning script as needed for your installation: for example, you can enable disk encryption or encryption of
EBS volumes.
❖ fabric.tf: Terraform script that provisions the infrastructure on your AWS account.
❖ network_ingress.tf: Terraform script containing the Security Group rules used for network ingress.
❖ network_egress.tf: Terraform script containing the Security Group rules used for network egress.
❖ installer_env.sh: shell script of environment variables added to the controller VM acting as a leader during
the installation.
❖ controller_env.sh: shell script of environment variables added to the other controller VM(s).
❖ worker_env.sh: shell script of environment variables added to the worker VM(s).
❖ README.md: markdown file containing installation instructions.

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POD
Operating System
JVM
MuleSoft Runtime
MuleSoft Application
Containers
POD
A node is a worker machine in Kubernetes and may be either a virtual or a physical machine, depending on the cluster.
A pod is a Kubernetes abstraction that represents a group of one (1) or more application containers such as Docker, and
some shared resources for those containers

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Shared Responsibility for On-Premises Runtime Fabric

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Scaling
Vertical scaling
❖ Assign more resources (vCores) to a Runtime Fabric node
❖ Assign more resources (memory) to a stand-alone Mule runtime (or JVM)
❖ Assign more resources (vCores) to a CloudHub worker
Horizontal scaling
❖ Add more Runtime Fabric nodes
❖ Add more Runtime Fabric pod replicas
❖ Add more Mule runtimes
❖ Either clustered or with a load balancer in round robin configuration – Add more CloudHub workers

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CPU Bursting
Log Forwarder RTF Services
Worker (2 Cores)
POD POD
MuleSoft Application 1 MuleSoft Application 2
POD POD
0.5 vCores
CPU Limit = 1.7
vCores
0.5 vCores
CPU Limit = 1.7
vCores
Total vCores allocated =
0.5 vCores App1 + 0.5
vCpress App2 + 0.3
vCores RTF Services =
1.3 vCores allocated
0.7 vCores remaining for
CPU Bursting
To avoid CU Bursting
Reserved CPU = CPU limit

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Monitoring and Logging

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Logging
25
In Runtime Fabric, log can be forwarded to AnyPoint Monitoring or to any external logging system.
❖ Enable and configure Runtime fabric using Runtime Manager to send logs to Splunk, ELK, Azure etc.
❖ Enable to send logs to Anypoint Monitoring using Runtime Fabric control plane.
❖ Install agent on RTF controller to send logs to Splunk, ELK etc
❖ Runtime Fabric features a built-in log forwarder that can send data to an rsyslogd server via TCP or UDP

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RSYSLOGD
26
kind: logforwarder
version: v2
metadata:
name: log-forwarder
spec:
address: 18.222.119.7:514
protocol: udp
sudo gravity resource create log-forwarder.yaml
sudo gravity resource rm logforwarder log-forwarder
sudo gravity resource create log-forwarder.yaml

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Alerts
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kind: smtp
version: v2
metadata:
name: smtp
spec:
host: smtp.gmail.com
port: 465
username:
mulesoft.training.01@gmail.com
password: Mulesoft2018
sudo gravity resource create -f alert-smtp.yaml

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Application to Application Request Within Same Environment
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Ingress POD
Controller
hello-world-dev hello-world-dev test-app-dev
test-app-dev:8081
POD
POD POD

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Application to Application Request Within different Environment
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Ingress POD
Controller
hello-world-dev hello-world-dev
test-app-dev
POD
POD POD
test-app-qa
hello-world-qa
test-app-qa.2abc2ce6
-cce6-463b-afaa-a19
79e3xxxxx.svc.cluste
r.local

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Application Startup Times Benchmark

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Application Performance Benchmark

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Edge Security

33. Mule Maven Plugin and Azure
DevOps With MuleSoft

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Mule Maven Plugin
Mule Maven Plugin allows you to deploy and undeploy a MuleSoft application. It is compatible with the Enterprise
Mule Runtime engine and Community Mule Kernel.
Mule Maven Plugin is capable of deploying applications automatically to on-premise, CloudHub, and Anypoint
Runtime Fabric Manager.
Mule Maven plugin supports three goals:
● Package: Generates jar or executable files for your Mule application.
○ mvn package
● Deploy: It automatically uploads, deploys and starts the application on the target system (on-premise,
CloudHub, Anypoint Runtime Fabric).
○ mvn deploy -DmuleDeploy
● Undeploy: It automatically removes the application from the target system (on-premise, CloudHub, Anypoint
Runtime Fabric).
○ mvn mule:undeploy

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Mule Maven Plugin
Parameter Description
uri Your Anypoint Platform URI.
muleVersion The Mule runtime engine version that will run in your CloudHub instance.
applicationName The name of your application in CloudHub.
username Your Cloudhub username.
password Your Cloudhub password.
server Maven server with Anypoint Platform credentials.
workers The number of workers.
workerType Size of each worker.
environment The CloudHub environment to which you want to deploy.
properties if you need to set properties for the Mule application you are deploying, you can use the <properties> top-level element:
<properties>
<key>value</key>
</properties>
region Region of workers cloud.

36. Networking time
Introduce yourself to your neighbors!

37. See you next time
Please send topic suggestions to the organizer

39. THANK YOU