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Live Interactive Session

Recording: Multi-Hybrid Cloud.mp4

Agenda

• Setting the scope for the discussion
  • IaaS? PaaS?
  • Workloads and workload characteristics?
• Definitions - Are these the right definitions?
  • Cloud
    • Multi-cloud environment: clouds from multiple different public cloud providers
    • Hybrid-cloud environment: a mix of private and public clouds
    • Hybrid-multi-cloud: private and multiple public cloud providers
  • Edge - How deeply do we want to go into the edge space? What do we want to/ do not want to define?
    • Edge: EUD, IoT devices
      • From limited to significant compute capacity, storage and networking bandwidth
    • Edge Site: Cloud network periphery or GW
      • Every place where Edge devices connect to the cloud network
      • May consist of limited to significant compute capacity, storage and networking bandwidth nodes for aggregating, processing and filtering data at  the edge, including data from dumb devices
      • Zero Ops
    • Core Site: in a DC, other large sites (IDC, Co-Lo, etc.)
    • Edge Cloud: Hybrid multi cloud
      • From single node to small cluster of nodes (HA, resiliency, self-healing, ...)
      • Technology: micro k8s, microstack (single package of all key OSTK services (Keystone, Glance, Nova, Neutron (OVN), Cinder, Horizon, Clustering, monitoring)
  • Single Plane of Glass: for seamless management of orchestration of workloads in a hybrid multi-cloud
    • In the last vF2F in February 2021, we discussed the Operator Platform and the need for platform agnostic APIs. Today we want to discuss what other characteristics need to be considered.
    • On June 8, 2021, discussion  on Hyperscalars is related (see  2021-06-DD - Anuket: Anuket assured hyperscalers or hyperscaler assured Anuket?)
• If discussing workloads

  • Are these the workload characteristics that should be specified when requesting resources?

  • Can schedulers take these characteristics into account when identifying the site, node, .. to host the workload?

  • Workload Characteristics:

    • Resource sizing

    • Storage IOPS

    • Network Latency

    • HW/SW Accelerators

    • Special HW or SW

    • Affinity

    • ... 

• Multi-cloud considerations
  • Operational Model
  • Deployment Model (it can facilitate on how the workloads are distributed and configured)
    • Controller suites for Network Services distributed across private and public clouds
      • Challenges: Security, QoS, lack of SLA, access to BSS/OSS systems, orchestration across the networks and hyperscalers.
  • Proposals for multi-cloud support (SDO related)

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