Se ha denunciado esta presentación.
Utilizamos tu perfil de LinkedIn y tus datos de actividad para personalizar los anuncios y mostrarte publicidad más relevante. Puedes cambiar tus preferencias de publicidad en cualquier momento.

Webinar: Emerging Trends in Data Architecture – What’s the Next Big Thing?

298 visualizaciones

Publicado el

The migration to cloud-based data architectures continues at a rapid pace, including databases and data management. Oracle databases are part of this trend, and during this webinar you will learn how to automate the provisioning and management of Oracle databases so that you can deliver an “as-a-service” experience with 1-click simplicity. Experts will walk you through the process of:
·      Using Kubernetes to deliver a production-ready
solution for your Oracle-based applications

·        Turbocharging your data infrastructure using
cloud-native architecture

·        Improving the agility and efficiency of your BI
and Data Operation teams, Developers, and Data Scientists

·        Defining the business impact and benefits of
cloud-based Oracle solutions

Publicado en: Datos y análisis
  • Sé el primero en comentar

  • Sé el primero en recomendar esto

Webinar: Emerging Trends in Data Architecture – What’s the Next Big Thing?

  1. 1. Modernize Your Data Architecture to Deliver Oracle as a Service Oracle Database-as-a-Service
  2. 2. 2 Reliability to run mission critical applications Familiar SQL syntax Excellent product maturity and track record Skillset readily available Global partner ecosystem Oracle Has Been a Trusted Technology For a Long Time
  3. 3. Need faster provisioning and Dev/Test refreshes Massive licensing and hardware costs Dynamic scaling to meet sudden demands High availability and auto-failover Cloud migration However, There are Challenges with Oracle Management 3
  4. 4. Agile Oracle Database-as-a-service is Needed Faster time-to-market Reduced costs Future-proof platform Dev/QA Wants IT/Ops Wants • Standardized platforms • Less maintenance and better support • More budget and time for innovation • Cut costs • Self-service • Rapid provisioning • Simplified management • Performance optimized for SLAs Business Needs 4
  5. 5. How Does ROBIN Help? Consolidate databases with QoS and SLA guarantees Clone database environments for agile Dev/Test refreshes Deploy databases 10x faster with self- service provisioning Dynamically Scale databases as needed 5 Auto-failover to provide high availability Migrate to cloud using clones
  6. 6. Self-Service Provisioning 6
  7. 7. ROBIN Provides Self-Service Provisioning 7 Select the App in your private “App Store” Provide simple inputs Your database is provisioned within minutes
  8. 8. Agile Dev/Test Refresh 8
  9. 9. Traditional Database Copy Methods Cause Data Sprawl PROD Gold Copy Downstream environments Dev & Test Storage Usage for one application › Full Clones of your production database › Time consuming › Results in Data Sprawl › Create “Gold copy” to avoid performance penalty › What if , you create as many environments but not pay the storage penalty ? 9
  10. 10. Thin Clone Databases using ROBIN within Minutes 10 PROD Docker/LXC Database Instance and Processes Create a clone of the database Test Docker/LXC Database Instance and Processes ROOT VOLUME ORACLE HOME DATA VOLUME ROOT VOLUME ORACLE HOME DATA VOLUME Point in time snapshot of all the volumes
  11. 11. Multiple Clone Copies with Fraction of Storage 11 PROD ROOT VOLUME ORACLE HOME DATA VOLUME Docker/LXC Database Instance and Processes CLONE TEST DEV BI DEV 2 Redirect-on-Write Significantly Reduces the Storage Penalty
  12. 12. Consolidate Workloads 12
  13. 13. Multi-Tenant Environment Reduces Hardware Footprint  Group servers into “Resource Pools”  Restrict Users, Tenants & Applications to specific Resource Pools  Assign limits and quotas per Tenant/User  Role Based Access Control Production TestDev Applications Teams Resources
  14. 14. Robin Scale-out Block Storage COMPUTE NODE Consolidate with Performance Predictability MAX IOPS enforced here to throttle usage MIN IOPS & IO PRIORITIES enforced here to deliver predictability COMPUTE NODE COMPUTE NODE MySQL Mongo DB IO IO IO Robin controls end-to-end IO pipeline (App-to-Disk) allowing it to truly enforce QoS on per-App basisIOPS  Eliminate Noisy Neighbors  Predictable Performance for mission-critical Apps  Application-aware QoS, not just per volume IOPs control › WebLogic WebLogicEBS Database
  15. 15. Dynamic Scaling 15
  16. 16. Dynamically Scale-up to Meet the Business Needs 16 1-Click Scale-up DB Server DB Server
  17. 17. Dynamically Scale-out Oracle RAC to Meet Business Needs 17 RAC Node1 RAC Node2 Start small Grow as you need - within minutes 1-Click Scale-out RAC Node1 RAC Node2 RAC Node3
  18. 18. Automated Failover 18
  19. 19. Make Sure Your Critical Applications are Always On 19 PROD ROOT VOLUME ORACLE HOME DATA VOLUME Docker/LXC Database Instance and Processes Compute Node Storage Layer › Robin automatically detects container failure › Brings up an Oracle container image in seconds on another compute node › No need to move storage Robin automatically mounts the storage volumes to the new container Compute Node PROD Docker/LXC Database Instance and Processes
  20. 20. Migrate to Public Cloud 20
  21. 21. Migrate to Public Cloud without Losing Your Investment › 1-Click full Cluster Clone Create multi-cloud portable clones of your on-prem cluster › Migrate to Cloud Migrate the clone and “light-up” the cluster in public cloud with the exact state as on-prem › Keep your Investments Keep using your licenses and code › Enjoy Cloud Economics With separation of compute and storage, pay for what you use AWS, Azure, GCPOn-Premise Snapshot 1 3 months ago Snapshot 2 2 weeks ago Snapshot 3 3 days ago Snapshot 4 yesterday Current now Snapshot 1 3 months ago Snapshot 2 2 weeks ago Snapshot 3 3 days ago Snapshot 4 yesterday Current Full Application Clone Full Application Clone App on Robin (on-prem) App on Robin (cloud)
  22. 22. Benefits of Robin’s Hyperconverged Kubernetes Collaborate, Experiment, Debug Share App clones with data; Run what-if trials with 1-click snapshot, clone; Time travel to restore app to any point in time 1-click deploy, scale, tune QOS Data locality, affinity/anti-affinity and isolation controls Adjust CPU, Memory, GPU, Network and IOPs Agile Dev Simplified Ops Modernize – self-service, multi-tenant, multi-cloud 1-click backup, restore, upgrade, cloud migrate entire app+data; RBAC, quotas, data+QOS isolation Same app setup across Data Center(s) and Cloud(s) Increase Utilization Pack more apps on same resources, Decouple compute/storage, thin clones Guarantee SLA & Uptime Min/max controls for CPU, Memory, GPU, Network, IOPS High availability even for apps that break K8S assumptions
  23. 23. Contact Tim Lawler More Information