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IBM Cloud & Helix Nebula


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Ezra Silvera, IBM Research, presents the IBM vision and the approach for the Design Phase of the HNSciCloud tender.

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IBM Cloud & Helix Nebula

  1. 1. 1 IBM Cloud & HelixNebula Ezra Silvera ( IBM Research
  2. 2. 2 IBM cloud & HelixNebula – perfect alignment • Cloud is one of the main strategic directions in IBM – Including cognitive, analytics, and more • Large number of relevant solutions and technologies • Intensive on-going development and research towards new capabilities • Hybrid cloud is a key component in the existing and future cloud strategy Fully aligned with the HelixNebula initiative On-Premises IT Public Dedicated and Local Private
  3. 3. 3 Our approach for HelixNebula • Build the base solution on top of existing proven IBM technologies – Important in order to achieve a solid and stable solution • Focus the project on HNSciCloud unique requirements – Explore innovative ways to extend existing solutions and bridging technology gaps – Push back innovations to IBM technologies  Make available to the market • Focus on open technologies and public available services – Strong contributor to open communities (e.g., OpenStack, Docker, Kubernets, etc..)
  4. 4. 4 Build on top of IBM SoftLayer IaaS • Over 45 global cloud centers connected by secure, high-speed network – enable high bandwidth integration to GEANT • Variety of choices for flexibility and control (BM, VM, etc..) – Match special requirements for computation, isolation, networking, etc.. – Targeting HPC workloads requirements • Open APIs with single pane customer portal • Excellent support for Hybrid cloud setups – Support secure integration to on-premises: Single Sign-On (SSO) Services using the SAML – Can build a custom solution on top of SL Bare-Metal (e.g., OpenStack, VMWare, etc.)
  5. 5. 5 Leveraging IBM containers capabilities • Container trend is increasing dramatically • We see usage of containers across many areas • IBM container service • Fully managed hosted platform • Including: Integrated logging, monitoring, load balancing, registry and auto-scaling • Advanced security features • Built using Docker technology and support for Docker APIs IBM CONTAINERS
  6. 6. 6 Leveraging IBM containers capabilities (Cont.) • Take advantage of the deep knowledge gained in building container service • Explore the best fit of containers to HPC workloads • Network capabilities, isolation model, storage connectivity, etc. • Build on top of different server types to match special needs • Bare-Metal, VMs, etc.. • Support different management frameworks (Kubernetes, etc..) • According to the specific workload need E.g., deploy complex services, self-healing, etc.. Docker Swarm
  7. 7. 7 Data Access using the IBM Spectrum scale • Provides a high performance parallel and distributed filesystem, • Supports standard POSIX file system interface • Has seamless capacity and performance scaling • Able to cache data on demand asynchronously (using AFM) – The cashing mechanism is highly configurable through policy engine and policies • Well suited for handling very large datasets – With a lot of concurrent accesses for a large number of client servers. Storage Resource Pools Global Namespace
  8. 8. 8 Data Access using the IBM Spectrum scale (Cont.) • AFM (Active File Management) - enables sharing of data across clusters – A single name space view across sites around the world – Namespace are truly global by automatically managing asynchronous replication of data – Name space maintenance occurs asynchronously  applications can continue operating without being constrained by network bandwidth. GPFS GPFS GPFS
  9. 9. 9 The IBM HelixNebula team • Build a team around the special challenges of HelixNebula • Take advantage of the vast knowledge and expertise across the company • Pulling into the team contributors from all relevant sections – IBM Research and Development, IBM Cloud, IBM Systems, IBM Global Services, and more
  10. 10. 10 Thank You