key challenges in today’s dynamic data center
DESCRIPTION
The deck from my session at Datacenter world earlier today.TRANSCRIPT
Key challenges in today’s dynamic data center – overcoming them and delivering agility, efficiency, and innovation
Date: April 9, 2023Birendra Gosai
Agenda
Virtualization maturity lifecycle
Server consolidation Migrate with confidence
Infrastructure optimization Gain visibility and control
Automation and orchestration Control VM sprawl
Dynamic datacenter Agility made possible
Summary
Questions
2 Key challenges in today’s dynamic data center – overcoming them and delivering agility, efficiency, and innovation
Virtualization maturity lifecycle
3 Key challenges in today’s dynamic data center – overcoming them and delivering agility, efficiency, and innovation
Server consolidation – definition and challenges
— An approach that makes efficient use of available compute resources
— Reduces the total # of physical servers
— Significant savings in hardware, facilities, operations and energy costs
— Key challenges:−Gaining insight into application configuration, dependency, and
capacity requirements
−Quick and accurate workload migrations in a multi-hypervisor environment
−Ensuring application performance after the workload migration
−The lack of virtualization expertise
4 Key challenges in today’s dynamic data center – overcoming them and delivering agility, efficiency, and innovation
Server consolidation – sample project plan
— Tier 2/tier 3 departmental server consolidation project.
— Convert ~250 production and test physical servers onto about 40 hosts.
— ~2-3 person implementation team
— ~8 week timeframe
Project description
Implementation plan
5 Key challenges in today’s dynamic data center – overcoming them and delivering agility, efficiency, and innovation
Note: The tasks and timelines will vary with the size and scope of the project, available resources, number and complexity of candidate applications, and other parameters.
Infrastructure optimization – definition and challenges
—Gain visibility and control
—Reduce costs and do more with fewer resources (thus reducing CapEx)
—Virtualize tier1 applications
—Increase % capacity utilization of virtual hosts
—Key Challenges:−providing performance and SLA assurance to the business
−deploying and maintaining capacity on an automated basis
−securing access to the virtual environment
−ensuring business continuity in the event of a failure
6 Key challenges in today’s dynamic data center – overcoming them and delivering agility, efficiency, and innovation
Infrastructure optimization - sample project plan
— Tier 1 infrastructure optimization project.
— Add ~10 critical production workloads onto about 40 hosts with existing workloads, resulting in 80-90% capacity utilization on the hosts
— ~3-4 person implementation team
— ~8 week timeframe
Project description
Implementation plan
7 Key challenges in today’s dynamic data center – overcoming them and delivering agility, efficiency, and innovation
Note: The tasks and timelines will vary with the size and scope of the project, available resources, number and complexity of candidate applications, and other parameters.
Automation and orchestration – definition and challenges
—Arrest ‘VM sprawl’
—Gain OpEx savings
—Help IT staff focus on strategic initiatives
—Key challenges−Faster provisioning of standardized servers / applications
that reduce customizations
−Process integration across heterogeneous platforms, applications and IT groups
−Reduce the MTTR for application problems
−Standardize configuration and ensure compliance
8 Key challenges in today’s dynamic data center – overcoming them and delivering agility, efficiency, and innovation
Automation & orchestration - sample project plan
— Lab management system enables IT organizations to provide a web-based self-service reservation system so users can reserve and deploy customized server and virtual machine instances without administrator intervention.
— Other sample projects -production / staging environment mgmt, demos on demand capability, etc
— ~3-4 person implementation team
— ~6 week timeframe
Project description
Implementation plan
9 Key challenges in today’s dynamic data center – overcoming them and delivering agility, efficiency, and innovation
Note: The tasks and timelines will vary with the size and scope of the project, available resources, number and complexity of candidate applications, and other parameters.
Dynamic datacenter – definition and challenges
— An agile IT infrastructure, based on an optimized and automated virtual infrastructure, that is:− service oriented - delivering on-demand, standardized services to the
business
− scalable - with the ability to span physical, virtual and cloud environments, and
− secure – providing security as a service to internal / external customers.
— Key challenges with successful server consolidation− providing a comprehensive service interface that serves as a visual
communication tool between IT and the business
− delivering a standard set of tiered-services (with well defined SLAs) that are consumable by business users
− service oriented automation and orchestration to span across heterogeneous physical, virtual and cloud environments, and
− ensuring security, compliance and QoS across hybrid environments.
10 Key challenges in today’s dynamic data center – overcoming them and delivering agility, efficiency, and innovation
Dynamic datacenter - sample project plan
— Support expanding business initiatives with agility.
— Deliver existing internal business services to partners. (e.g. billing, shipping, EMR, etc)
— ~4-6 person implementation team
— ~6 month timeframe
Project description
Implementation plan
Note: The tasks and timelines will vary with the size and scope of the project, available resources, number and complexity of candidate applications, and other parameters.
11 Key challenges in today’s dynamic data center – overcoming them and delivering agility, efficiency, and innovation
Server Consolidation
Infrastructure Optimization
Automation and
Orchestration
Dynamic Datacenter
Application discovery
Capacity planningWorkload migration
• Performance mgmt•Continuous capacity mgmt• Privileged user mgmt•BCDR
•Resource pool deployment• Lifecycle mgmt•Workflow orchestration• Showback• Private cloud (dev/test, LOD, etc)
• Service provisioning• Security and BCDR• Service assurance• Service contract mgmt and chargeback• Service catalog
Management “Tipping Points”
Summary - Journey from virtualization to the cloud
12 Key challenges in today’s dynamic data center – overcoming them and delivering agility, efficiency, and innovation
