Building a mature foundation for life in the cloud
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While enterprises are increasingly adopting a cloud strategy, a successful cloud journey requires a mature foundation built through a well-architected, phased, and incremental approach. This webinar will help you plan for a mature foundation for all the phases of a cloud adoption journey. The content of this session is drawn from multiple cloud adoption projects at large enterprises to detail the following: Opportunities and challenges of cloud adoption Best practices to ensure a seamless transition to the cloud including exploration, migration, basic patterns, application transformation and maintenance Automation and self-service enablement in the cloud. View the webinar here - https://bit.ly/2TcSkMv
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Building a mature foundation for life in the cloud
- 1. Copyright © 2020 Impetus Technologies, Inc. You are prohibited from making a copy or modification of, or from redistributing, rebroadcasting, or re-encoding of this content without the prior written consent of Impetus. This presentation may include images from other products and services. These images are used for illustrative purposes only. Unless explicitly stated there is no implied endorsement or sponsorship of these products by Impetus. All copyrights and trademarks are property of their respective owners.
- 2. Building a Mature Foundation for Life in the Cloud IMP
- 3. Our mission Enabling a unified, clear, and present view of your business
- 4. Agenda Phases to efficient enterprise cloud onboarding Recap Q&A
- 5. Poll
- 6. Speakers Sumit Sharma Senior Technical Architect Amit Assudani Senior Technical Architect
- 7. Onboard your enterprise to the cloud with a 5-phased approach 1. Exploration 2. Foundation 3. Migration 4. Application transformation 5. Maintenance and evolution
- 9. Exploration Training and certifications Assess organization goals Legal and regulatory compliance Forecast capacity and cost Roll-out plan for application and user
- 12. Foundational Patterns Automation and self- service as a first class citizen
- 13. Foundational Patterns Automation and self- service as a first class citizen Infrastructure as a code
- 14. Foundational Patterns Automation and self- service as a first class citizen Infrastructure as a code Continuous integration, continuous delivery
- 15. Foundational Patterns Automation and self- service as a first class citizen Infrastructure as a code Continuous integration, continuous delivery Storage lifecycle management
- 16. Foundational Patterns Automation and self- service as a first class citizen Infrastructure as a code Continuous integration, continuous delivery Storage lifecycle management Separate computation from storage
- 18. Platforms and Frameworks Data lake
- 19. Platforms and Frameworks Data lake Self-service data flow and analytics
- 20. Platforms and Frameworks Data lake Self-service data flow and analytics Container orchestration
- 21. Platforms and Frameworks Data lake Self-service data flow and analytics Container orchestration Workflow
- 22. Platforms and Frameworks Data lake Self-service data flow and analytics Container orchestration Workflow AI/ML development and scoring
- 23. Platforms and Frameworks Data lake Self-service data flow and analytics Container orchestration Workflow AI/ML development and scoring Provisioning and orchestration
- 25. Security and Governance Change and incident management
- 26. Security and Governance Change and incident management Encryption and key management
- 27. Security and Governance Change and incident management Encryption and key management Identity and access management
- 28. Security and Governance Change and incident management Encryption and key management Identity and access management Firewall and network configurations
- 30. Monitoring and Alerts Resource utilization
- 31. Monitoring and Alerts Resource utilization Tagging compliance
- 32. Monitoring and Alerts Resource utilization Tagging compliance Resource lifecycle and health
- 33. Monitoring and Alerts Resource utilization Tagging compliance Resource lifecycle and health Log and event analysis
- 35. Migration Strategy Enterprise application migration Data migration Workload migration
- 36. Enterprise Application Migration “The 6R’s” Discover / Assess / Prioritize Applications Retain / Not Moving Retire / Decomission Determine Migration Path Purchase COTS / SaaS and licensing Manual Install And Setup Redesign Application / Infrastructure Architecture App Code Development Full ALM / SDLC Integration Determine New Platform Modify Underlying Infrastructure Validation Transition Production Automate Manual Install Manual Config Manual Deploy Use Migration Tools Rehosting (Lift and shift) Replatforming (Lift and Reshape) Repurchasing (Replace - Drop and Shop) Refactoring (Re-writing / Decoupling Applications) Manual https://aws.amazon.com/blogs/
- 37. Automated Data Migration Variety of data Online vs offline migration One time vs continuous migration Data transfer speed Hybrid storage Cloud native alternatives Data security
- 38. Automated Workload Migration Assess Live query logs Offline query logs DML/DDL scripts Execute HQL Spark SQL Shell script Validate Row count Min/max value Distinct count Sum/average of rows Table/query specific Migrate Reloading Logic translation Data, metadata, view, RBAC Data, metadata, view, RBAC SQL Shell scripts Stored procedures Enterprise data warehouse Modern data warehouse
- 40. Application Transformation Design, architect, and onboard cloud-optimized applications Transient vs. persistent infrastructure Monoliths are broken into containerized microservices Use marketplace software and solutions Serverless computing
- 42. Continuous Governance Periodic resource scans Appropriate chargebacks Reports, alerts, and enforcement Audit traffic and access logs Disaster recovery Resiliency and data availability
- 43. Continuous Optimization Auto-scalable configurations based on usage/traffic Separation of storage and compute Avoid unnecessary logging Automated shutdown of non-prod environments Use spot instances wherever needed Consolidate billing for discounts
- 44. Continuous Evolution Embrace technology changes Upgrade to new versions Learn and adopt
- 45. Poll results
- 46. Recap 1. Exploration 2. Foundation 3. Migration 4. Application transformation 5. Maintenance and evolution
- 47. Our Areas of Expertise Cloud enablement Big data and analytics Advanced analytics and AI Data science consulting Machine learning and AI End-to-end cloud advisory Cloud engineering Single-click data lake Strategy Design and architecture Data lake creation DevOps
- 48. Our Automated Solutions Automatic ETL and EDW conversion to cloud Self-service data flow and analytics Data Lake Accelerator Secure, Governed Data Lake Starter Kit Blueprints for AWS, Azure, GCP Customization UI Out-of-the-box transformation accelerators Optimized performance for on cloud, on premise, and hybrid Support for Netezza, Teradata, Ab Initio, and others Build and run Apache Spark applications in the cloud 10x faster with a visual IDE Process, analyze, and gain insights from thousands of IoT devices in real-time Deliver contextualized customer experiences
- 49. Impetus Cloud Practice Competencies Amazon Web Services Microsoft Azure Google Cloud Salesforce Advisory and consultancy Architecture and full cycle engineering Security and governance DevOps Cloud infrastructure realization Cloud cost optimization Legacy platform migration and modernization
- 50. Q & A
- 51. Thank You For more information visit www.impetus.com or reach us at inquiry@impetus.com
Editor's Notes
- Hi Good Morning Folks, Happy Wednesday I am Amit Assudani. I have Sumit Sharma as well helping me with this webinar. We work in Cloud Practice group in Impetus. I welcome you in this session where we will talk about our experiences on Cloud adoption journey of enterprises. For more than a decade, we have been helping enterprises navigating in big data and analytics ecosystem to enable a unified, clear, and present view of their business. We have firsthand witnessed the transition of enterprises First using disparate and constrained relational data management systems to "on-premise" monolith big data analytics platforms and now from on premises to "cloud first strategy" in rapidly delivering the ever changing business needs. so this adoption journey is essentially broken into 5 phases - Exploration •This phase enables organization to spread the wings; explore, experiment, assess, what cloud has to offer and how it fits with the org vision and goals. - Foundation The building is only as tall as the foundation is strong enough to build on. At this stage, we’ll talk about best architectural/cloud-setup processes, platforms that would be essential in next phases of cloud journey. - Migration At this stage, we are ready and equipped to embark on this journey and start burning the old ships. we'll explore the opportunities of automation in the daunting bulk migration phase. - Transformation Once, you're ready with your initial setup and best practices to govern, its time to spread the wings and start building use cases of your wish list. Maintenance & Evolution At this stage we’ll talk about sustenance in the cloud with the need of continuous governance and optimization
- Rehosting — Otherwise known as “lift-and-shift.” large legacy migration scenario where the organization is looking to scale its migration quickly to meet a business case, Most rehosting can be automated with tools (e.g. AWS VM Import/Export, Racemi), Replatforming — I sometimes call this “lift-tinker-and-shift.” Here you might make a few cloud (or other) optimizations in order to achieve some tangible benefit, RDS, Aurora, Managed DB. Web server changes, application server changes Repurchasing — Some products are better as compare to legacy products you are using on prem. Moving to a different product is better choice in terms of pricing and overall benefits. Moving a CRM to salesforce.com, HR system to workday or CMS to Drupal and so on Refactoring / Re-architecting — Re-imagining how the application is architected and developed, typically using cloud-native features. This is typically driven by a strong business need to add features, scale, or performance that would otherwise be difficult to achieve in the application’s existing environment. Are you looking to migrate from a monolithic architecture to a service-oriented (or server-less) architecture to boost agility or improve business continuity Retire — Get rid of. Example: On premise monitoring and alerting applications Retain — Usually this means “revisit” or do nothing (for now).
- Advisory and Consultancy ----------cloud strategy Architecture and Engineering ----------cloud native application development Architecture and “full cycle engineering” = Design through productionization.