Virtual meetup - Exploring the Runtime Fabric deployment model
- 1. All contents © MuleSoft, LLC Sandeep Deshmukh (Technical Architect) -New York Amit Jha (Senior Solutions Architect) - New York Mandy Wong (API & Integration Specialist) - Calgary Jimmy Attia (Senior Strategic Advisor) - Edmonton Exploring the Runtime Fabric Deployment Model Online Meetup
- 2. All contents © MuleSoft, LLC Safe harbor statement The information in this presentation is confidential and proprietary to MuleSoft and may not be disclosed without the permission of MuleSoft. This presentation is not subject to your license agreement or any other service or subscription agreement with MuleSoft. MuleSoft has no obligation to pursue any course of business outlined in this document or any related presentation, or to develop or release any functionality mentioned therein. This document, or any related presentation and MuleSoft's strategy and possible future developments, products and or platforms directions and functionality are all subject to change and may be changed by MuleSoft at any time for any reason without notice. The information on this document is not a commitment, promise or legal obligation to deliver any material, code or functionality. This document is provided without a warranty of any kind, either express or implied, including but not limited to, the implied warranties of merchantability, fitness for a particular purpose, or non-infringement. This document is for informational purposes and may not be incorporated into a contract. MuleSoft assumes no responsibility for errors or omissions in this document, except if such damages were caused by MuleSoft intentionally or grossly negligent. All forward-looking statements are subject to various risks and uncertainties that could cause actual results to differ materially from expectations. Readers are cautioned not to place undue reliance on these forward-looking statements, which speak only as of their dates, and they should not be relied upon in making purchasing decisions. 3
- 3. All contents © MuleSoft, LLC Speakers 4 Sandeep Deshmukh Customer Success Technical Architect 5 years IT experience. MuleSoft Architect certified. Provides API governance for organization and develops API’s for projects. Advocate of accelerating digital transformation through API’s. 8+ years IT experience. MuleSoft Architect/Developer certified with expertise in CloudHub and Runtime Fabric deployment topologies. Strong advocate of process and technical efficiencies. Mandy Wong API & Integration Specialist Amit Jha Senior Solutions Architect 5+ years of experience in various MuleSoft deployment topology models like CloudHub, Runtime Fabric and Standalone. Sound knowledge of Service Oriented Architecture, object-oriented concepts, analysis and design of applications architecture. Jimmy Attia Senior Strategic Advisor As a Senior Strategic Advisor with Mulesoft's Customer Success Strategy and Architecture team, I provide leadership and strategic advisory services to Mulesoft customers across a variety of topics and activities like integration architecture and organization enablement
- 4. All contents © MuleSoft, LLC Agenda 1. Meetup Logistics 2. Customer Perspective 3. Different Deployment models 4. Introduction to Runtime Fabric 5. Runtime Fabric Appliance vs Runtime Fabric on Self-Managed Kubernetes 6. Trivia 7. Demo / Q & A a. Migrating Applications from CloudHub to Runtime Fabric b. Preventing Common Pitfalls when configuring Runtime Fabric 8. Trivia Winners 5
- 5. All contents © MuleSoft, LLC Meeting Logistics ● The session is recorded and a copy will be sent to the registrants following the event ● Attendees are placed on mute upon entry ● Feel free to post your questions in the chat and we will answer them at the end ● We will have 3 trivia questions between segments and the winners will be announced at the end ● Instructions will be provided before the trivia questions for valid participation ● Prize: each winner will get a voucher for a free MuleSoft course 6
- 6. All contents © MuleSoft, LLC Customer perspective
- 7. All contents © MuleSoft, LLC RTF implementation Challenges 8 ● Benefits of going to RTF versus fully cloud - why do all this work rather than just allowing MuleSoft to manage our API’s? ● Differences between going with RTF on VM/Bare Metal versus a Self-managed Kubernetes EKS/AKS cluster -> Things to consider? ● When migrating API projects from on-prem to RTF, it is known that several or most connectors will behave differently. What are key things to keep in mind and prevent projects from “breaking” when moving to RTF? ● How will CI/CD tools change moving from on-prem to RTF, such as GitHub and Jenkins pipelines?
- 8. All contents © MuleSoft, LLC RTF implementation Challenges 9 ● How can we best set-up our infrastructure on self-managed Kubernetes to support RTF? ● What are the best practices for achieving API security in RTF? ● When decommissioning API’s, how do we go about it in RTF? In general, how do we manage the API lifecycle in RTF?
- 9. All contents © MuleSoft, LLC Deployment Models
- 10. All contents © MuleSoft, LLC Anypoint Platform 11 On-premises & private cloud Hybrid Hosted by MuleSoft Cloud service providers OPERATE DESIGN DEPLOY BUILD ENGAGE
- 11. All contents © MuleSoft, LLC Anypoint Platform 12 On-premises & private cloud Hybrid Hosted by MuleSoft Cloud service providers OPERATE DESIGN DEPLOY BUILD ENGAGE Management/Control Plane
- 12. All contents © MuleSoft, LLC Anypoint Platform 13 On-premises & private cloud Hybrid Hosted by MuleSoft Cloud service providers OPERATE DESIGN DEPLOY BUILD ENGAGE Runtime Plane
- 13. All contents © MuleSoft, LLC Deployment Models 14 Anypoint Platform Management Mule Runtime Key Fully Managed Cloud (CloudHub) Hybrid Deployment Deployed: Cloud Deployed: On-prem / Private IaaS Managed by Managed by MuleSoft MuleSoft Customer MuleSoft On-Premise Runtimes Fully On-Premise (PCE) Customer Customer Runtime Fabric (RTF) Appliance/ RTF services: MuleSoft Infrastructure: Customer MuleSoft
- 14. All contents © MuleSoft, LLC Deciding on a Deployment Topology • Built in HA through RTF services • Tokenization, Edge Security, Secrets Manager • Runtime Manager Monitoring: – Built-in Anypoint Monitoring Dashboard – Or Classic Application Monitoring • Configurable HA and clustering • Runtime Manager Monitoring: – Classic Application Monitoring – Server/Groups/Cluster Monitoring dashboard • Anypoint Monitoring can be configured using an AM agent or external monitoring configured (refer to documentation) • Built in HA through multiple worker clouds • AnypointMQ, Secrets Manager • Runtime Manager Monitoring: – Built-in Anypoint Monitoring Dashboard – Or Classic Application Monitoring Deployments Feature Comparison
- 15. All contents © MuleSoft, LLC • Deploy consistently across any cloud (Azure & AWS) or data center • Run multiple runtime versions in the same Runtime Fabric • Isolate apps, scale horizontally, redeploy w/ zero-downtime • Connect to the control plane hosted by MuleSoft • Deployment flexibility across any cloud (Azure & AWS) or data center • Integrations can run in same data center as customer applications • Satisfies potential data sovereignty issues • Connect to the control plane hosted by MuleSoft • Runtime managed by MuleSoft in CloudHub - can be separate regions to control plane • No configuration needed - just worker size and number • Built-in re-start, HA across availability zones • Additional services available e.g. Anypoint MQ, Secrets Manager, ObjectStore Deciding on a Deployment Topology Deployments Benefits Comparison
- 16. All contents © MuleSoft, LLC Introduction to Runtime Fabric
- 17. All contents © MuleSoft, LLC 18 Existing cloud infrastructure Customer has an AWS or Azure instance, and can leverage RTF on their infrastructure, in some cases with hybrid cloud. Ongoing Kubernetes initiatives RTF is built on kubernetes, and is attractive to customers that have kubernetes initiatives within their org. Highly restricted industries Customers in industries such as finance or government want managed cloud benefits but can only deploy on-premises. Need for automation and isolation Current on-premises deployments are requiring dedicated teams to monitor and orchestrate deployments. Anypoint Platform: Runtime Fabric Where does it fit?
- 18. All contents © MuleSoft, LLC Anypoint Runtime Fabric Deploy and manage runtimes across any cloud Centrally manage all applications Manage applications in your private cloud (AWS, Azure) and CloudHub within Anypoint Platform Run Mule apps on Kubernetes Get containerization benefits such as isolation, horizontal scaling, and auto redeploy by default Move deployments in a few clicks Pivot your deployments between CloudHub, your private cloud, or a data center with no impact
- 19. All contents © MuleSoft, LLC Runtime Fabric (RTF) is delivered to customers as a software appliance to run on their premises. Customers bring their own hardware and networking, and install RTF on top of it. Customers maintain the infrastructure, and MuleSoft maintains the Kubernetes stack, RTF services and Mule deployments. Note: Appliance refers to the MuleSoft provided kubernetes stack which includes Docker, Kubernetes, Flannel, Ops Center. Runtime Fabric Appliance - RTF on VM/Bare Metal VM Mule App VM Mule App Mule App Runtime Fabric components Runtime Fabric appliance Mule App network Runtime Fabric on VM/Bare Metal Mule App Mule App VM Customer Managed MuleSoft Managed
- 20. All contents © MuleSoft, LLC Shared Responsibility Model 21
- 21. All contents © MuleSoft, LLC Server Server Server Server Server Runtime Fabric services Server Docker & Kubernetes (workers) Docker & Kubernetes (masters) Runtime Fabric services Controller VMs Worker VMs Anypoint Platform: Runtime Fabric ● Ingress Controller (Edge) ● Upgrades ● Docker Reg ● Ops Center ● Runtime ● Init ● Log fwd Mule Mule Mule Mule Mule Mule Mule Mule Mule Mule Mule Mule 22 What’s inside a Production ‘Fabric’
- 22. All contents © MuleSoft, LLC Runtime Fabric is delivered to customers as a package of components/services that run on top of an existing EKS or AKS environment. Customers bring their own Kubernetes, ingress controller, and external log forwarding and install RTF within it. Customers maintain the health of Kubernetes, and MuleSoft maintains the RTF services and Mule deployments. Note: RTF Services examples: RTF agent, Anypoint Monitoring agent etc. *New* Runtime Fabric on EKS / AKS Node Mule App Node Mule App Mule App Runtime Fabric services EKS or AKS Mule App network Runtime Fabric on EKS / AKS Mule App Mule App Node Customer Managed (K8s specialist) Managed within Anypoint Platform
- 23. All contents © MuleSoft, LLC Extend control plane benefits to runtimes on your AKS or EKS ● Customer gets the latest management and monitoring features of Anypoint Platform Decouple Mule runtime services from your own infrastructure ● Give your ops teams the power to use their infrastructure how they want 24 CUSTOMER’S NETWORK Mule App Mule App Mule App Runtime Fabric services Mule App Mule App Mule App Mule App Mule App Mule App Runtime Plane CONTROL PLANE Kubernetes-as-a-Service Deploy and manage runtimes on your own AKS or EKS RTF on AKS/EKS
- 24. All contents © MuleSoft, LLC RTF on VM/Bare Metal (Production Configuration) Runtime Fabric – VM/Bare Metal vs AKS/EKS RTF on AKS/EKS (Default Configuration) Option 1 Option 2
- 25. All contents © MuleSoft, LLC ● EKS / AKS are highly available and managed by cloud provider thereby freeing up developer time to focus on integration/API development. ● Managed worker nodes simplify node scaling and upgrades. ● More customizable to your organization’s environment. ● Choose your own ingress controller and log forwarding agents. Lower Cost Benefits of RTF on AKS/EKS More Flexible ● AKS / EKS replaces the controller nodes. ● Lower infrastructure costs with Azure/AWS. Less Overhead
- 26. All contents © MuleSoft, LLC Key Feature Changes Summary RTF on EKS/AKS RTF on VM/ Bare Metal Support for deploying Mules and API Gateways Supported. Supported. Kubernetes and Docker Not included; customers bring their own via provisioning EKS or AKS clusters. Included. Support for installing on any Linux distribution Supported. RHEL and CentOS only. Support for node auto-scaling Supported using Azure or AWS settings. Not supported. Support for external log forwarding Customers bring their own external log forwarder. Included. Support for internal load balancer Customers bring their own internal load balancer (called “Ingress Controller”) Included. Support for Anypoint Security Edge Not supported. Supported. Ops Center Not included (Anypoint Monitoring still supported). Customers can enable similar monitoring and alerting from AWS or Azure console. Included.
- 27. All contents © MuleSoft, LLC What’s behind an application deployment 28
- 28. All contents © MuleSoft, LLC Application deployment process 29 Key points Two major steps ● Upload the application package to the Exchange ● Deploy from Exchange Key component to check in deployment issues ● The communication between agent and the control plane ● The registry-creds job ● The init container
- 29. All contents © MuleSoft, LLC Performance Tools RTF Demo
- 30. All contents © MuleSoft, LLC RTF implementation Challenges
- 31. All contents © MuleSoft, LLC RTF implementation Challenges 38 ● Benefits of going to RTF versus fully cloud - why do all this work rather than just allowing MuleSoft to manage our API’s? ● Differences between going with RTF on VM/Bare Metal versus a Self-managed Kubernetes EKS/AKS cluster -> Things to consider? ● When migrating API projects from on-prem to RTF, it is known that several or most connectors will behave differently. What are key things to keep in mind and prevent projects from “breaking” when moving to RTF? ● How will CI/CD tools change moving from on-prem to RTF, such as GitHub and Jenkins pipelines?
- 32. All contents © MuleSoft, LLC RTF implementation Challenges 39 ● How can we best set-up our infrastructure on self-managed Kubernetes to support RTF? ● What are the best practices for achieving API security in RTF? ● When decommissioning API’s, how do we go about it in RTF? In general, how do we manage the API lifecycle in RTF?
- 33. All contents © MuleSoft, LLC 1) Blog for on-prem to RTF migration: http://mule.is/bUzsHC 2)Runtime Fabric: https://docs.mulesoft.com/runtime-fabric/latest/ 2) MuleSoft Documentation: https://docs.mulesoft.com/general/ 3) Catalyst KnowledgeHub: http://catalyst.mulesoft.com/ Appendix Some useful Links: