Application Modernization with Microsoft Azure
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Discover the best way to modernize your organization’s applications with Microsoft Azure
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Application Modernization with Microsoft Azure
- 1. The Ideal Approach to Application Modernization Which way to the cloud? Welcome We will start at 11:00 CET 1 Azure MVP SamVanhoutte
- 2. 2 Webinar Series 24/04 Future of Integration 29/04 Application Modernization 8/5 Securing APIs End-to-End 15/5 Exploring IoT Edge 20/5 Blockchain in Practice Read more and register
- 3. The Ideal Approach to Application Modernization Which way to the cloud? Hi, I am Sam, CTO of Codit 3 Azure MVP SamVanhoutte
- 4. 4 Every company becomes a software company Business models are (re)invented
- 5. 5 Connectivity and Integration are key to build modern apps Information is created when data gets centralized and combined
- 6. The success of digital transformation is achieved through data intelligence Data should become information 6
- 7. 7 Triggers for application modernization Deliver applications and features faster Urgent capacity needs Software or hardware refresh Address security threats Compliance Enable new business opportunities Software end of support Datacenter contracts expiring
- 8. Application challenges 8 Code Future proof: Better scale and more resiliency Agility to add and update features and functionality Infrastructure Managing heterogeneous workloads Hybrid deployments Continuous monitoring Cost management Data Data growth and data silos Performance constraints Complexity of solutions Rising data maintenance costs (GDPR) More storage of unstructured data Application Delivery Release faster Improve software quality Faster response to bugs or incidents Continuously improve and evolve applications by learning from real usage
- 9. The road ahead 9 Application silos, built in isolation Limited set of platforms and form factors Overabundance of data Servers and infrastructure to manage Upfront capacity planning, fixed scale Multi-channel applications, covering all touchpoints Many platforms, devices and form factors Data-driven intelligence in applications Focus on application functionality, not infrastructure Elastic, unlimited scale Today Future IaaS / VM PaaS Serverless SaaS
- 11. Cloud maturity in App Modernization 11 Existing apps on-prem Lift & Shift Cloud optimized App modernized Minimal code-changes Modernize / refactor
- 12. Cloud maturity in App Modernization 12 Existing apps on-prem Lift & Shift Cloud optimized App modernized Legacy applications Fase out Potential intermediate step Hardware EOL Scalability enhancements Increase security Strategic applications New functionalities
- 13. The value of PaaS 13 On Premises Youscale,makeresilientandmanage Infrastructure (as a Service) Managedbyvendor Youscale,make resilient&manage Platform (as a Service) Scale,resilienceand managementbyvendor Youmanage Software (as a Service) Applications Scale,resilienceand managementbyvendor
- 14. The value of PaaS 14 | Mix & match components to build a scalable solution | Auto-scale possible | Embedded security | Open for full customization & integration | Hybrid is crucial | Build on an evolving platform | Features get added | Monitoring by design | Deployment automated | Easy to add new features (example: data analytics) | Focus on creating value, less on building infrastructure
- 15. 15 5 Patterns for app modernization
- 16. Move to the cloud 16 “What your application works with” Data “What your application does” Code “What your application runs on” Infrastructure Unified Management • Security • Governance • Tools • DevOps Containers • Microservices • Data lake • Serverless
- 17. Modernizing with container technology 17 | Build once, run everywhere | Cross platform: on the edge, in the cloud, in the data center | Small effort, biggest gains in deployment DeploymentModernizationExisting application VM Container Azure Container Registry Convert Publish Azure Kubernetes Registry
- 18. Carve out with micro services 18 | A journey from monolith to micro services | Carve out functionality | Phased out approach to reduce complexity & risk | Ship services as independent containers | Services are owned and adapted by teams | PaaS, unless… | API management as routing facade to hide migration & implementation logic Monolith App Large, all-inclusive app Micro services App App Small, independent services Codit Webinar by Tom Kerkhove: https://www.codit.eu/en/events/webinars/manage-your-microservices-with-azure- api-management/
- 19. New applications Scenario specific services Data strategy 19 | Get data from silos | Analytics & insights can result in new applications or features Existing applications Functionality & Interaction Data integration & pipelines Scheduling & pipelines Publish Raw Data Curated Data Data Stream Async Batch Analytics Predictions
- 20. Extend functionality through Serverless 20 Existing web application ASP.NET Website WCF Service Updates detected in application On business event, run Logic App Based on address, use text translator Check-In Check-Out Event trigger New cloud-native capabilities Customer email sent | Existing code is left as-is and can be hosted in managed cloud service | When scale needed, innovative capabilities are needed, these can be moved to serverless functions, triggered through Event Grid.
- 21. Deliver faster and add reliability through DevOps 21 Faster delivery to production • More business value OperateCollaborate DeliverDevelopPlan Boards (Azure DevOps) Visual Studio Visual Studio Code Pipelines + Test Plans + Artifacts (Azure DevOps) Monitor (Azure Monitor) GitHub
- 22. Cloud native PaaS for Green field solutions 22 Pick your data storage solution Data Lake • Azure SQL DB • CosmosDb • Azure Synapse Analytics Data Pick your integration strategy API Management • Event Grid • Service Bus • Data Factory Messaging Pick your hosting option Kubernetes • Microservices • Web Apps • Serverless functions Infrastructure Unified Management • Security • Governance • Tools • DevOps Containers • Microservices • Data lake • Serverless
- 24. Reference case 24 Itsme® app moves business to the next level | Belgian Mobile ID | Challenge: Extend functionalities and scale | Solution: Rebuilt application infrastructure and architecture | Result: Future-proof; ability to adapt offering to address new needs and seize business opportunities
- 26. Reference case 26 Swiss Re Revolutionized the Insurance Industry | Leading global reinsurer | Challenge: Diversify offering | Solution: Multi-tenant claim app based on real flight data | Result: Access to new risk pools
- 27. Reference case 27 Get Started with an Assessment What we will do | System review | Application(s) review | Project & methodology review | Operations review What you will get | Solution Architecture | Migration strategy | Scope & estimation
- 28. Picking the right strategy to modernize existing applications can yield cloud-native advantages Takeaways 28 | Application modernization should drive these benefits: | Add flexibility and agility | Scale with growth | Focus on functionality, not on infrastructure | Isolate responsibilities and functionality | Run logic on the compute of your choice | Reduce TCO of the full solution
- 29. Download Your Guide 29 | Getting Started | Avoiding Roadblocks | Choosing Your Path | 5 Patterns to Move into the Cloud
- 30. Thank You 30
Notas del editor
- Intro Why modernization Strategies for modernization 5 Services & patterns to help customers in modernizing
- Companies are suddenly selling & shipping software, with their products Examples Buhler with chocolate machines Energy companies delivering subscriptions Transport & logistics with new business models
- Data is often locked up in silo’s and integration can help Mix & match data Open up for data consumption & platforms Extend & automate Codit has been doing this for years and can build the basis for any modern application *
- When transforming the business, it’s all about data Insights and retrospective information Enriching data with new unstructured data Also predict and prevent
- Two motivations to modernize: Breathe new life in existing applications Extend legacy applications with new functionality (per every animated step): Cycles of maintenance happen in the traditional datacenter and make customer rethink Adding features and functionality Business success requires more scale Compliance & security There are two approaches: Migration: focusing on rehosting on different infrastructure Modernization: leverage more cloud native functionality
- Some apps might be outdated and cannot follow the business needs. Customers want to use IT budgets for business benefits, and not just for maintenance * Code: build scalable applications, that are flexible * Infrastructure: hybrid - cross platform - ready for monitoring * Data: lock data out of silos - add intelligence, respecting legislation Focus on application delivery * Faster time to fix & responsd * Learn and improve constantly
- Applications are changing Multiple front ends: bots, apps, API’s and web Multiple views & different roles Data & A.I. Deliver and ship more frequently Scale and tune for what is needed
- Existing: customers don’t want to move the entire portfolio at once Lift & shift: focus on infrastructure, less cloud native benefits Optimize: better scale, enhance parts of the application Modernize: strategic move, refactor code & redesign architecture
- Lift & shift : delay often means cancellation Optimize: more security, unlock data, leverage containers Modernize:refactor & add new functionality
- Customers want to focus on Applications & Data – and consider the underlying parts as commodity The choice between PaaS & SaaS, is pretty much a build vs buy It takes time to get to PaaS, focus on the strategic apps first
- Customers own and evolve the solution : Systems become products Scale & security CI / CD Infrastructure becomes part of the deployment
- You can move parts separately (hybrid) Containers, micro services, data lake & serverless should ben mentioned
- A popular choice for quick, no-code application modernization is container technology. Apps are abstracted from the environment in which they run. Deploy easily and consistently, where you want: private data center, the public cloud, or even a developer’s personal laptop. Iterate & version control
- Microservices architecture means breaking large software projects into smaller, independent, and loosely coupled modules. When using microservices, each service is independent, and each service is a new project that can be developed on its own schedule, using any language or stack that best fits current requirements. Scaling up is easier than with traditional VMs or even Containers – it just requires deploying additional services as needed. Microservices make application maintenance easier - developers work on individual services, so the code base a developer needs to handle is smaller, easier to manage and easier to understand. Microservices-based applications are also more resilient and stable - if one or more services should fail, the application will continue to work. Individual service instances can easily be upgraded, changed or taken down without impacting the entire application negatively.
- Data integration & unlocking data – streaming or ETL’ing into a data lake Perform analytics or Machine Learning Expose data & functionality through API management Build new scenarios or add new features, leveraging these new insights
- With Azure, you can build applications without provisioning and managing infrastructure using a fully managed platform where scaling, availability, and performance are handled for you. The keyword here is serverless, a cloud-computing execution model in which the cloud provider dynamically manages the allocation of machine resources. This approach allows developers to focus on code without distractions – if they do not have to think about infrastructure, they will be more productive. Serverless functions are optimized for any scenario where logic needs to be run in response to an event – and this definition encompasses a lot of application scenarios. For legacy applications, serverless also offers an attractive way to extend the functionality of an existing application without touching the actual source code which might be undocumented or outdated. Instead of implementing new functionality in the main application, it’s much easier and faster to surround it with pockets of new functionality using technologies like serverless functions that can be triggered via APIs and events. This also enables you to use advanced cloud-only capabilities like machine learning or AI with existing legacy applications that were built before such technologies were widely available.
- DevOps is the union of people, process, and tools to enable continuous delivery of value to end users. The contraction of Dev and Ops refers to replacing silo’ed Development and Operations disciplines with multidisciplinary teams that work together with shared and efficient practices and tools. A converged DevOps cycle provides the ability to execute on ideas quickly and iterate on feedback rapidly while at the same time maintaining highest levels of quality. For Microsoft, DevOps encompasses the whole application lifecycle, from idea to application running in production. DevOps is built into the foundation of Azure, not bolted-on like with other cloud vendors. Azure DevOps lets you plan smarter, collaborate better, and ship faster with a set of modern developer services. You can use all the Azure DevOps services or choose just what you need to complement your existing workflows and toolchains.
- Green field solutions start with a blanc sheet There are reference architectures & best practices we can help with Pick the right components and leverage cloud native benefits
- Having built thousands of integration processes, since 2000, Codit has built a big experience in integration and system connectivity. Because of our dedicated focus, we can say that we have built an extensive set of best practices and tooling around Azure Solutions and integration (AIS, APIManagement) in general. Therefore, we often provide quality assurance or review on projects of customers; worldwide. The quality review contains 3 different parts: System review. This part focused on the actual system setup and configuration. Here we are focusing on the aspects around the setup of the Azure subscriptions and organization of Azure artifacts, including performance, security and cost management. Application review. In this part of the review, we do a review of the actual development artifacts and the different application settings. We look to see if everything is ready for change and flexible enough for your organization. Project & Methodology review. We review methodology and procedures used for Azure projects. Source control, testing strategy, build and deployment procedures will be evaluated. Operations review. We review processes and approach used for Monitoring and Operating the Azure environment and implementations deployed on the Azure portal.