Amazon Web Services AWS July 2018 Updates
Amazon Web Services AWS July 2018 Updates
Amazon Web Services AWS July 2018 Updates continue to expand feature, functionality, service capabilities of the public cloud providers capabilities across various geographies.
Recent AWS updates include Snowball Edge (SBE) that adds local, on-site, on-premises aka on-prem EC2 compute capabilities as part of the Snowball appliance. Previously Snowball was a data and storage migration only appliance, now with the new capabilities, compute is also enabled as part of a turnkey converged platform. Read more about SBE here.
In other updates, AWS has extended its Elastic Cloud Compute (EC2) capabilities (besides Snowball Edge) with new instance types, along with leveraging their next generation hypervisor as part of Nitro enabled systems. New EC2 instances span from on-prem Snowball Edge (SBE) to AWS Dedicated aka bare metal instances, along with traditional cloud instances (e.g., virtual machines).
These new instances including R5, R5D, and Z1 among others leverage faster Intel Xeon Platinum 8000 series processors, along with more memory. For example, Z1D is a compute-intensive instance with 4.0 GHz all turbo enabled core, while R5 is memory optimized with 3.1 GHz cores (up to 96 vCPU) and up to 768GB of RAM. The R5D is a memory-optimized instance that also supports up to 3.6TB of on-instance NVMe based storage. View additional AWS instance types here.
AWS has enhanced SageMaker (Machine Learning) service supporting higher throughput enabling faster data transformation batch jobs of non-real-time inference. To enable higher data and API call rates, AWS has also enhanced Simple Storage Service (S3) request rate. Another enhancement by AWS is enabling bring your own IP address preview for virtual private cloud (VPC) as part of allowing hybrid clouds.
Where to learn more
Learn more about AWS, Cloud and data infrastructures related topics via the following links:
- AWS Snowball Edge SBE Converged Cloud Storage Appliance
- Broadcom buying CA, Brilliant or a Brainbuster?
- Google Cloud Platform GCP announced new Los Angeles Region
- Amazon Web Service AWS September 2017 Software Defined Data Infrastructure Updates
- AWS S3 Storage Gateway Revisited (Part I)
- Cloud Conversations: AWS EFS Elastic File System (Cloud NAS) First Preview Look
- Cloud conversations: AWS EBS, Glacier and S3 overview (Part I)
- 2018 Hot Popular New Trending Data Infrastructure Vendors to Watch
- June 2018 Server StorageIO Data Infrastructure Update Newsletter
- Welcome to the Data Protection Diaries
- Application Data Value Characteristics Everything Is Not The Same (Part I)
- Data Infrastructure Primer Overview (Its What’s Inside The Data Center)
- NVMe Primer (or refresh), The NVMe Place, and The SSD Place
- Server Storage I/O Benchmark Performance Resource Tools
- Data Infrastructure server storage I/O network Recommended Reading
Additional learning experiences along with common questions (and answers), as well as tips can be found in Software Defined Data Infrastructure Essentials book.
What this all means
Amazon Web Services AWS July 2018 Updates continue to expand the number, type and extensiveness of public cloud services, as well as enabling hybrid capabilities. The Amazon Web Services AWS July 2018 Updates also address different data infrastructure layers from lower level Infrastructure as a Service (IaaS) including EC2 compute, as well as higher level artificial inelegance (AI), machine learning (ML), deep learning (DL) among other cognitive as well as analytic offerings.
Ok, nuff said, for now.
Greg Schulz – Microsoft MVP Cloud and Data Center Management, VMware vExpert 2010-2018. Author of Software Defined Data Infrastructure Essentials (CRC Press), as well as Cloud and Virtual Data Storage Networking (CRC Press), The Green and Virtual Data Center (CRC Press), Resilient Storage Networks (Elsevier) and twitter @storageio. Courteous comments are welcome for consideration. First published on https://storageioblog.com any reproduction in whole, in part, with changes to content, without source attribution under title or without permission is forbidden.
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