Cloud – from Conception to Completion
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The document discusses cloud computing through various perspectives, illustrating that definitions can vary widely. It outlines the challenges and advantages of different cloud models, including private and public clouds, and emphasizes the importance of aligning cloud strategies with business needs. The document also highlights the steps organizations can take to determine the best cloud solutions for their applications.
Cloud – from Conception to Completion
- 1. Cloud – from Conception to Completion Rob Gee Datacentre Architect
- 2. What is your perspective of Cloud Computing? “Once upon a time, there were six blind men. The blind men wished to know what an elephant looked like. The six blind men all perceived one aspect of the elephant and were each right in their own way, but none of them knew what the whole elephant really looked like.” Your definition of something may depend on your perspective… It’s like a rope! It’s like a wall! It’s like a fan! It’s like a snake! It’s like a spear! It’s virtualisation! It’s automation! It’s statelessness! It’s on-demand computing! Cloud Computing It’s a self-service portal! Its “Anything as a Service” (XaaS)! “Once upon a time, there were six IT people. The IT people wished to know what cloud computing looked like. The six IT people all perceived one aspect of the cloud and were each right in their own way, but none of them knew what the whole cloud really looked like.” Elephant It’s like tree!
- 3. Infrastructure Challenges Poor DR and Business Continuity Backup Time to Provision Physical Datacenter Predictability
- 4. Poor DR and Business Continuity Infrastructure Challenges Predictability Time to provision Backup Physical Infrastructure
- 5. Options? Bolt on Aftermarket Extension’s Marginal Gain (if any) Increased Management and Cost Refresh Infrastructure Same Service Same Challenges Maybe Different Badge Move to a Cloud Model Innovation Validated Infrastructure SLA Driven Reduce Cost / Service Improvement Delivered via “As a Service” models
- 6. Cloud Models – Logicalis Portfolio Private Cloud FlexPod VSPEX VPDC LVPDC Shared Dedicated Compute-as-a-Service Public Cloud AWS Azure - Web Apps & Test / Dev. - Application Resilience - Commodity Cloud - Traditional Applications - Infrastructure Resilience - Off Premise Cloud / SP - Traditional Applications - Infrastructure Resilience - On Premise Cloud Workload Centric
- 7. Your Strategy Starts with Applications OperationalFlexibility Strategic Value Application Silos Zones of Virtualization Public Cloud Private Cloud Categorise requirements based on business needs CRM Dev/ Test IT Apps Custom Apps App requirements unique to silo Dedicated and optimized hardware Static environment Application Silos Core IT application consolidation Moderately dynamic No self-service requirements Zones of Virtualization Noncore applications Adapt to dynamic demands Self-service and pay as you go Readily available cloud services Public Cloud Core-defined services Highly dynamic Self-service and metering Private Cloud
- 8. Place Workloads in the Right Cloud Workloads Placement Hosted Cloud Workload Groups (Based on Attributes) Compatibility Service Levels Protection Levels Security Time To Market Financial Private Cloud Public Cloud Tier 1 Tier 2 Tier 3 Test / Dev
- 9. Workload Assessment - Sample Requirements Metric Private Cloud Hosted VPDC Public Cloud Compatibility x86 - Intel Service Levels 99.9% Uptime Protection 30 Daily Backups, DR Security / Trust Model On Premise Scalability N/A - - - Financial $ Requirements Metric Private Cloud Hosted VPDC Public Cloud Compatibility x86 - Intel Service Levels 99.9% Uptime Protection 30 Daily Backups, DR Security / Trust Model Australian Data Sovereignty Scalability Yes Financial $ Requirements Metric Private Cloud Hosted VPDC Public Cloud Compatibility x86 - Intel Service Levels 99% Uptime Protection 30 Daily Backups Security / Trust Model No Data Sovereignty Scalability Yes Financial (No commitment) $ Test/dev workloads Critical Business Apps Core Business Apps
- 10. Logicalis Approach Drivers PositionDiscover Challenges - Inadequate DC - No Disaster Recovery - Over extended IT Team - DC Infrastructure at capacity - Desktop Management Initiatives - Wants to remove Tape (effort) - Wants to offer Ops services to other organisations - Implement Virtual Desktops (future) Requirements - Scalable platform aligning to business demand - Data Remain in Australia Reduce Risk - Data Centre Facilities - Implement DR Scalable Platform - Meet business demand Operations - Reduce Ops effort Financial - Impending DC Infrastructure Upgrades Hosted Cloud Private Cloud Public Cloud Next Steps Cloud Advisory Service - How do I determine what applications are good for cloud? - What type of cloud? - How do I compare cloud costs to my current enterprise costs? - What is our reference architecture? Meeting with SA - Deeper Cloud Discovery - Cloud Presentations - LVDPC Demonstrations
- 11. It’s all about the right Cloud for each workload.
Editor's Notes
- #2: Rob Gee, Solution Architect from Logicalis, presents an overview of some of the challenges of moving to “the Cloud” and how we help customer determine the most effective cloud model and migrate their data.
- #3: Cloud is a strategyand not a solution! Despite formal definitions (like NIST), if you ask ten CIOs to define the “cloud” you get ten definitions… the key point is that “cloud” is not a product or a “SKU” – you generally don’t “buy a cloud”. We see Cloud as a strategy for being able to deploy compute or IT demand, whether it’s infrastructure, desktops or specific applications. While there many type of public clouds – from private cloud and virtual private data centres to hyper-clouds like Amazon – it’s the orchestration layer that provides the business value.
- #5: A customer that recently moved to the Logicalis Cloud has issues with their physical data centre infrastructure, including water coming through the roof in heavy rain and power outages. This is not uncommon - we often see on-premise data centres that lack fire suppression systems or have simply out-grown the physical space. DR and data protection is also a common challenge – another customer we recently migrated had a core ERP application which was built on 50-60 virtual machines including SQL databases and application servers, and they had been trying for number of years to provide a cost-effective solution to implementing replication.The bottom line is that the data centre has often grown in a way that is not strategic, through tactical “Bolt on Budgets”, and with no predictability of cost or effective business continuity.
- #6: So what are the options? We work with many Australian corporate and enterprise customers, and see three common approach to the data centre challenges we just saw:For core or legacy applications – or if there’s a requirement for applications to be on-premise – an existing data centre can be scaled with incremental hardware. You can extend the life of an existing data centre by a few years, but at the cost of increasing management and operational cost. It means a continuation of the “80% of expense going to keeping the lights on” scenario.A data centre refresh brings some efficiencies – better processors, faster disk, a more efficient data centre networking fabric. But it’s really just changing the fundamental challenges and enabling the delivery of IT as a service. A traditional data centre was never built for virtualisation.Adopting a cloud strategy is starting to gain traction: it’s not all about saving money but service improvement. It’s also not about throwing away all the existing infrastructure and “moving into the cloud”, but determining the most appropriate for each workload and starting to think about developing a service catalogue or adopting self-service portals. This can be based on orchestration of an on-premise data centre or moving some (or all) workloads to a virtual private data centre or public cloud.
- #7: Logicalis supports three cloud models including private, Virtual Private Date Centre (VPC or VPDC) and Public Clouds.How do we know which clouds to position for each customer?It comes down to not about being about the customer but the workloads.Each cloud has design characteristics and run certain workloads better than others.Private and VPDC designed to run traditional applications as they are built on a highly resilient platform although with public clouds they are built for scale better suited for web applications and test / dev that don’t require high levels of redundancy or the application has the inbuilt resiliency.