Microsoft Azure Software Defined Data Infrastructure Reference Resources

Azure Software Defined Data Infrastructure Architecture Resources

Need to learn more about Microsoft Azure Cloud Software Defined Data Infrastructure topics including reference architecture among other resources for various application workloads?

Microsoft Azure has an architecture and resources page (here) that includes various application workload reference tools.

Microsoft Azure Software Defined Cloud
Azure Reference Architectures via Microsoft Azure

Examples of some Azure Reference Architecture for various application and workloads include among others:

For example, need to know how to configure a high availability (HA) Sharepoint deployment with Azure, then check out this reference architecture shown below.

Microsoft Azure Sharepoint HA reference architecture
Sharepoint HA via Microsoft Azure

Where To Learn More

Learn more about related technology, trends, tools, techniques, and tips with the following links.

Data Infrastructures Protect Preserve Secure and Serve Information
Various IT and Cloud Infrastructure Layers including Data Infrastructures

What This All Means

Data Infrastructures exist to protect, preserve, secure and serve information along with the applications and data they depend on. Software Defined Data Infrastructures span legacy, virtual, container, cloud and other environments to support various application workloads. Check out the Microsoft Azure cloud reference architecture and resources mentioned above as well as the Azure Free trial and getting started site here.

Ok, nuff said, for now.
Gs

Greg Schulz – Multi-year Microsoft MVP Cloud and Data Center Management, VMware vExpert (and vSAN). 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.

All Comments, (C) and (TM) belong to their owners/posters, Other content (C) Copyright 2006-2023 Server StorageIO(R) and UnlimitedIO. All Rights Reserved.

VMware vSAN V6.6 Part IV (HCI scaling ROBO and data centers today)

server storage I/O trends

VMware vSAN V6.6 Part IV (HCI scaling ROBO and data centers today)

In case you missed it, VMware announced vSAN v6.6 hyper-converged infrastructure (HCI) software defined data infrastructure solution. This is the fourth of a five-part series about VMware vSAN V6.6. View Part I here, Part II (just the speeds feeds please) is located here, part III (reducing cost and complexity) located here, as well as part V here (VMware vSAN evolution, where to learn more and summary).

VMware vSAN 6.6
Image via VMware

For those who are not aware, vSAN is a VMware virtual Storage Area Network (e.g. vSAN) that is software-defined, part of being a software-defined data infrastructure (SDDI) and software-defined data center (SDDC). Besides being software-defined vSAN is HCI combining compute (server), I/O networking, storage (space and I/O) along with hypervisors, management, and other tools.

Scaling HCI for ROBO and data centers today and for tomorrow

Scaling with stability for today and tomorrow. This includes addressing your applications Performance, Availability, Capacity and Economics (PACE) workload requirements today and for the future. By scaling with stability means boosting performance, availability (data protection, security, resiliency, durable, FTT), effective capacity without one of those attributes compromising another.

VMware vSAN data center scaling
Image via VMware

Scaling today for tomorrow also means adapting to today’s needs while also flexible to evolve with new application workloads, hardware as well as a cloud (public, private, hybrid, inter and intra-cloud). As part of continued performance improvements, enhancements to optimize for higher performance flash SSD including NVMe based devices.

VMware vSAN cloud analytics
Image via VMware

Part of scaling with stability means enhancing performance (as well as productivity) or the effectiveness of a solution. Keep in mind that efficiency is often associated with storage (or server or network) space capacity savings or reductions. In that context then effectiveness means performance and productivity or how much work can be done with least overhead impact. With vSAN, V6.6 performance enhancements include reduced checksum overhead, enhanced compression, and deduplication, along with destaging optimizations.

Other enhancements that help collectively contribute to vSAN performance improvements include VMware object handling (not to be confused with cloud or object storage S3 or Swift objects) as well as faster iSCSI for vSAN. Also improved are more accurate refined cache sizing guidelines. Keep in mind that a little bit of NAND flash SSD or SCM in the right place can have a significant benefit, while a lot of flash cache costs much cash.

Part of enabling and leveraging new technology today includes support for larger capacity 1.6TB flash SSD drives for cache, as well as lower read latency with 3D XPoint and NVMe drives such as those from Intel among others. Refer to the VMware vSAN HCL for current supported devices which continue evolve along with the partner ecosystem. Future proofing is also enabled where you can grow from today to tomorrow as new storage class memories (SCM) among other flash SSD as well as NVMe enhanced storage among other technologies are introduced into the market as well as VMware vSAN HCL.

VMware vSAN and data center class applications
Image via VMware

Traditional CI and in particular many HCI solutions have been optimized or focused on smaller application workloads including VDI resulting in the perception that HCI, in general, is only for smaller environments, or larger environment non-mission critical workloads. With vSAN V6.6 VMware is addressing and enabling larger environment mission critical applications including Intersystem Cache medical health management software among others. Other application workload extensions including support for higher performance demanding Hadoop big data analytics, a well as extending virtual desktop infrastructure (VDI) workspace with XenDesktop/XenApp, along with Photon 1.1 container support.

What about VMware vSAN 6.6. Packaging and License Options

As part of vSAN 6.6 VMware several solution bundle packaged options for the data center as well as smaller ROBO environment. Contact your VMware representative or partner to learn more about specific details.

VMware vSAN cloud analytics
Image via VMware

VMware vSAN cloud analytics
Image via VMware

Where to Learn More

The following are additional resources to find out more about vSAN and related technologies.

What this all means

Continue reading more about VMware vSAN 6.6 in part I here, part II (just the speeds feeds please) is located here, part III (reducing cost and complexity) located here as well as part V here (VMware vSAN evolution, where to learn more and summary).

Ok, nuff said (for now…).

Cheers
Gs

Greg Schulz – Microsoft MVP Cloud and Data Center Management, VMware vExpert (and vSAN). Author Cloud and Virtual Data Storage Networking (CRC Press), The Green and Virtual Data Center (CRC Press), Resilient Storage Networks (Elsevier) and twitter @storageio. Watch for the Spring 2017 release of his new book “Software-Defined Data Infrastructure Essentials” (CRC Press).

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.

All Comments, (C) and (TM) belong to their owners/posters, Other content (C) Copyright 2006-2023 Server StorageIO(R) and UnlimitedIO. All Rights Reserved.

Which Enterprise HDD for Content Applications General I/O Performance

Which HDD for Content Applications general I/O Performance

hdd general i/o performance server storage I/O trends

Updated 1/23/2018

Which enterprise HDD to use with a content server platform general I/O performance Insight for effective server storage I/O decision making
Server StorageIO Lab Review

Which enterprise HDD to use for content servers

This is the sixth in a multi-part series (read part five here) based on a white paper hands-on lab report I did compliments of Servers Direct and Seagate that you can read in PDF form here. The focus is looking at the Servers Direct (www.serversdirect.com) converged Content Solution platforms with Seagate Enterprise Hard Disk Drive (HDD’s). In this post the focus is around general I/O performance including 8KB and 128KB IOP sizes.

General I/O Performance

In addition to running database and file (large and small) processing workloads, Vdbench was also used to collect basic small (8KB) and large (128KB) sized I/O operations. This consisted of random and sequential reads as well as writes with the results shown below. In addition to using vdbench, other tools that could be used include Microsoft Diskspd, fio, iorate and iometer among many others.

These workloads used Vdbench configured (13) to do direct I/O to a Windows file system mounted device using as much of the available disk space as possible. All workloads used 16 threads and were run concurrently similar to database and file processing tests.

(Note 13) Sample vdbench configuration for general I/O, note different settings were used for various tests

Table-7 shows workload results for 8KB random IOPs 75% reads and 75% writes including IOPs, bandwidth and response time.

 

ENT 15K RAID1

ENT 10K RAID1

ENT CAP RAID1

ENT 10K R10
(4 Drives)

ECAP SW RAID (5 Drives)

 

75% Read

25% Read

75% Read

25% Read

75% Read

25% Read

75% Read

25% Read

75% Read

25% Read

I/O Rate (IOPs)

597.11

559.26

514

475

285

293

979

984

491

644

MB/sec

4.7

4.4

4.0

3.7

2.2

2.3

7.7

7.7

3.8

5.0

Resp. Time (Sec.)

25.9

27.6

30.2

32.7

55.5

53.7

16.3

16.3

32.6

24.8

Table-7 8KB sized random IOPs workload results

Figure-6 shows small (8KB) random I/O (75% read and 25% read) across different HDD configurations. Performance including activity rates (e.g. IOPs), bandwidth and response time for mixed reads / writes are shown. Note how response time increases with the Enterprise Capacity configurations vs. other performance optimized drives.

general 8K random IO
Figure-6 8KB random reads and write showing IOP activity, bandwidth and response time

Table-8 below shows workload results for 8GB sized I/Os 100% sequential with 75% reads and 75% writes including IOPs, MB/sec and response time in seconds.

ENT 15K RAID1

ENT 10K RAID1

ENT CAP RAID1

ENT 10K R10
(4 Drives)

ECAP SW RAID (5 Drives)

75% Read

25% Read

75% Read

25% Read

75% Read

25% Read

75% Read

25% Read

75% Read

25% Read

I/O Rate (IOPs)

3,778

3,414

3,761

3,986

3,379

1,274

11,840

8,368

2,891

1,146

MB/sec

29.5

26.7

29.4

31.1

26.4

10.0

92.5

65.4

22.6

9.0

Resp. Time (Sec.)

2.2

3.1

2.3

2.4

2.7

10.9

1.3

1.9

5.5

14.0

Table-8 8KB sized sequential workload results

Figure-7 shows small 8KB sequential mixed reads and writes (75% read and 75% write), while the Enterprise Capacity 2TB HDD has a large amount of space capacity, its performance in a RAID 1 vs. other similar configured drives is slower.

8KB Sequential
Figure-7 8KB sequential 75% reads and 75% write showing bandwidth activity

Table-9 shows workload results for 100% sequential, 100% read and 100% write 128KB sized I/Os including IOPs, bandwidth and response time.

ENT 15K RAID1

ENT 10K RAID1

ENT CAP RAID1

ENT 10K R10
(4 Drives)

ECAP SW RAID (5 Drives)

Read

Write

Read

Write

Read

Write

Read

Write

Read

Write

I/O Rate (IOPs)

1,798

1,771

1,716

1,688

921

912

3,552

3,486

780

721

MB/sec

224.7

221.3

214.5

210.9

115.2

114.0

444.0

435.8

97.4

90.1

Resp. Time (Sec.)

8.9

9.0

9.3

9.5

17.4

17.5

4.5

4.6

19.3

20.2

Table-9 128KB sized sequential workload results

Figure-8 shows sequential or streaming operations of larger I/O (100% read and 100% write) requests sizes (128KB) that would be found with large content applications. Figure-8 highlights the relationship between lower response time and increased IOPs as well as bandwidth.

128K Sequential
Figure-8 128KB sequential reads and write showing IOP activity, bandwidth and response time

Where To Learn More

Additional learning experiences along with common questions (and answers), as well as tips can be found in Software Defined Data Infrastructure Essentials book.

Software Defined Data Infrastructure Essentials Book SDDC

What This All Means

Some content applications are doing small random I/Os for database, key value stores or repositories as well as meta data processing while others are doing large sequential I/O. 128KB sized I/O may be large for your environment, on the other hand, with an increasing number of applications, file systems, software defined storage management tools among others, 1 to 10MB or even larger I/O sizes are becoming common. Key is selecting I/O sizes and read write as well as random sequential along with I/O or queue depths that align with your environment.

Continue reading part seven the final post in this multi-part series here where the focus is around how HDD’s continue to evolve including performance beyond traditional RPM based execrations along with wrap up.

Ok, nuff said, for now.

Gs

Greg Schulz – Microsoft MVP Cloud and Data Center Management, VMware vExpert 2010-2017 (vSAN and vCloud). 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.

All Comments, (C) and (TM) belong to their owners/posters, Other content (C) Copyright 2006-2024 Server StorageIO and UnlimitedIO. All Rights Reserved. StorageIO is a registered Trade Mark (TM) of Server StorageIO.

Server Storage I/O Benchmark Tools: Microsoft Diskspd (Part I)

Server Storage I/O Benchmark Tools: Microsoft Diskspd (Part I)

server storage I/O trends

This is part-one of a two-part post pertaining Microsoft Diskspd.that is also part of a broader series focused on server storage I/O benchmarking, performance, capacity planning, tools and related technologies. You can view part-two of this post here, along with companion links here.

Background

Many people use Iometer for creating synthetic (artificial) workloads to support benchmarking for testing, validation and other activities. While Iometer with its GUI is relatively easy to use and available across many operating system (OS) environments, the tool also has its limits. One of the bigger limits for Iometer is that it has become dated with little to no new development for a long time, while other tools including some new ones continue to evolve in functionality, along with extensibility. Some of these tools have optional GUI for easy of use or configuration, while others simple have extensive scripting and command parameter capabilities. Many tools are supported across different OS including physical, virtual and cloud, while others such as Microsoft Diskspd are OS specific.

Instead of focusing on Iometer and other tools as well as benchmarking techniques (we cover those elsewhere), lets focus on Microsoft Diskspd.


server storage I/O performance

What is Microsoft Diskspd?

Microsoft Diskspd is a synthetic workload generation (e.g. benchmark) tool that runs on various Windows systems as an alternative to Iometer, vdbench, iozone, iorate, fio, sqlio among other tools. Diskspd is a command line tool which means it can easily be scripted to do reads and writes of various I/O size including random as well as sequential activity. Server and storage I/O can be buffered file system as well non-buffered across different types of storage and interfaces. Various performance and CPU usage information is provided to gauge the impact on a system when doing a given number of IOP’s, amount of bandwidth along with response time latency.

What can Diskspd do?

Microsoft Diskspd creates synthetic benchmark workload activity with ability to define various options to simulate different application characteristics. This includes specifying read and writes, random, sequential, IO size along with number of threads to simulate concurrent activity. Diskspd can be used for testing or validating server and storage I/O systems along with associated software, tools and components. In addition to being able to specify different workloads, Diskspd can also be told which processors to use (e.g. CPU affinity), buffering or non-buffered IO among other things.

What type of storage does Diskspd work with?

Physical and virtual storage including hard disk drive (HDD), solid state devices (SSD), solid state hybrid drives (SSHD) in various systems or solutions. Storage can be physical as well as partitions or file systems. As with any workload tool when doing writes, exercise caution to prevent accidental deletion or destruction of your data.


What information does Diskspd produce?

Diskspd provides output in text as well as XML formats. See an example of Diskspd output further down in this post.

Where to get Diskspd?

You can download your free copy of Diskspd from the Microsoft site here.

The download and installation are quick and easy, just remember to select the proper version for your Windows system and type of processor.

Another tip is to remember to set path environment variables point to where you put the Diskspd image.

Also stating what should be obvious, don’t forget that if you are going to be doing any benchmark or workload generation activity on a system where the potential for a data to be over-written or deleted, make sure you have a good backup and tested restore before you begin, if something goes wrong.


New to server storage I/O benchmarking or tools?

If you are not familiar with server storage I/O performance benchmarking or using various workload generation tools (e.g. benchmark tools), Drew Robb (@robbdrew) has a Data Storage Benchmarking Guide article over at Enterprise Storage Forum that provides a good framework and summary quick guide to server storage I/O benchmarking.




Via Drew:

Data storage benchmarking can be quite esoteric in that vast complexity awaits anyone attempting to get to the heart of a particular benchmark.

Case in point: The Storage Networking Industry Association (SNIA) has developed the Emerald benchmark to measure power consumption. This invaluable benchmark has a vast amount of supporting literature. That so much could be written about one benchmark test tells you just how technical a subject this is. And in SNIA’s defense, it is creating a Quick Reference Guide for Emerald (coming soon).


But rather than getting into the nitty-gritty nuances of the tests, the purpose of this article is to provide a high-level overview of a few basic storage benchmarks, what value they might have and where you can find out more. 

Read more here including some of my comments, tips and recommendations.


In addition to Drew’s benchmarking quick reference guide, along with the server storage I/O benchmarking tools, technologies and techniques resource page (Server and Storage I/O Benchmarking 101 for Smarties.

How do you use Diskspd?


Tip: When you run Microsoft Diskspd it will create a file or data set on the device or volume being tested that it will do its I/O to, make sure that you have enough disk space for what will be tested (e.g. if you are going to test 1TB you need to have more than 1TB of disk space free for use). Another tip is to speed up the initializing (e.g. when Diskspd creates the file that I/Os will be done to) run as administrator.

Tip: In case you forgot, a couple of other useful Microsoft tools (besides Perfmon) for working with and displaying server storage I/O devices including disks (HDD and SSDs) are the commands "wmic diskdrive list [brief]" and "diskpart". With diskpart exercise caution as it can get you in trouble just as fast as it can get you out of trouble.

You can view the Diskspd commands after installing the tool and from a Windows command prompt type:

C:\Users\Username> Diskspd


The above command will display Diskspd help and information about the commands as follows.

Usage: diskspd [options] target1 [ target2 [ target3 …] ]
version 2.0.12 (2014/09/17)

Available targets:
file_path
# :

Available options:











-?display usage information
-a#[,#[…]]advanced CPU affinity – affinitize threads to CPUs provided after -a in a round-robin manner within current KGroup (CPU count starts with 0); the same CPU can be listed more than once and the number of CPUs can be different than the number of files or threads (cannot be used with -n)

-ag

group affinity – affinitize threads in a round-robin manner across KGroups
-b[K|M|G]block size in bytes/KB/MB/GB [default=64K]

-B[K|M|G|b]

base file offset in bytes/KB/MB/GB/blocks [default=0] (offset from the beginning of the file)
-c[K|M|G|b]create files of the given size. Size can be stated in bytes/KB/MB/GB/blocks

-Ccool down time – duration of the test after measurements finished [default=0s].

-DPrint IOPS standard deviations. The deviations are calculated for samples of duration . is given in milliseconds and the default value is 1000.
-dduration (in seconds) to run test [default=10s]
-f[K|M|G|b]

file size – this parameter can be used to use only the part of the file/disk/partition for example to test only the first sectors of disk
-fropen file with the FILE_FLAG_RANDOM_ACCESS hint
-fsopen file with the FILE_FLAG_SEQUENTIAL_SCAN hint
-Ftotal number of threads (cannot be used with -t)
-gthroughput per thread is throttled to given bytes per millisecond note that this can not be specified when using completion routines
-hdisable both software and hardware caching
-inumber of IOs (burst size) before thinking. must be specified with -j
-jtime to think in ms before issuing a burst of IOs (burst size). must be specified with -i
-ISet IO priority to . Available values are: 1-very low, 2-low, 3-normal (default)
-lUse large pages for IO buffers

-Lmeasure latency statistics
-ndisable affinity (cannot be used with -a)
-onumber of overlapped I/O requests per file per thread (1=synchronous I/O, unless more than 1 thread is specified with -F) [default=2]
-pstart async (overlapped) I/O operations with the same offset (makes sense only with -o2 or grater)
-Penable printing a progress dot after each completed I/O operations (counted separately by each thread) [default count=65536]
-r[K|M|G|b]random I/O aligned to bytes (doesn’t make sense with -s). can be stated in bytes/KB/MB/GB/blocks [default access=sequential, default alignment=block size]
-R

output format. Default is text.
-s[K|M|G|b]stride size (offset between starting positions of subsequent I/O operations)
-Sdisable OS caching
-tnumber of threads per file (cannot be used with -F)
-T[K|M|G|b]stride between I/O operations performed on the same file by different threads [default=0] (starting offset = base file offset + (thread number * ) it makes sense only with -t or -F
-vverbose mode
-wpercentage of write requests (-w and -w0 are equivalent). absence of this switch indicates 100% reads IMPORTANT: Your data will be destroyed without a warning
-W

warm up time – duration of the test before measurements start [default=5s].
-xuse completion routines instead of I/O Completion Ports
-Xuse an XML file for configuring the workload. Cannot be used with other parameters.
-zset random seed [default=0 if parameter not provided, GetTickCount() if value not provided]




 
Write buffers command options. By default, the write buffers are filled with a repeating pattern (0, 1, 2, …, 255, 0, 1, …)
-Z

zero buffers used for write tests
-Z[K|M|G|b]use a global buffer filled with random data as a source for write operations.
-Z[K|M|G|b],

use a global buffer filled with data from as a source for write operations. If is smaller than , its content will be repeated multiple times in the buffer. By default, the write buffers are filled with a repeating pattern (0, 1, 2, …, 255, 0, 1, …)







 Synchronization command options
-ys
signals event
before starting the actual run (no warmup) (creates a notification event if does not exist)
-yfsignals event after the actual run finishes (no cooldown) (creates a notification event if does not exist)
-yrwaits on event before starting the run (including warmup) (creates a notification event if does not exist)
-ypallows to stop the run when event is set; it also binds CTRL+C to this event (creates a notification event if does not exist)
-yesets event and quits









Event Tracing command options

-epuse paged memory for NT Kernel Logger (by default it uses non-paged memory)
-equse perf timer
-esuse system timer (default)
-ecuse cycle count
-ePROCESSprocess start & end
-eTHREADthread start & end
-eIMAGE_LOADimage load
-eDISK_IOphysical disk IO
-eMEMORY_PAGE_FAULTSall page faults
-eMEMORY_HARD_FAULTShard faults only
-eNETWORK

TCP/IP, UDP/IP send & receive
-eREGISTRYregistry calls



Examples:

Create 8192KB file and run read test on it for 1 second:

diskspd -c8192K -d1 testfile.dat

Set block size to 4KB, create 2 threads per file, 32 overlapped (outstanding)
I/O operations per thread, disable all caching mechanisms and run block-aligned random
access read test lasting 10 seconds:

diskspd -b4K -t2 -r -o32 -d10 -h testfile.dat

Create two 1GB files, set block size to 4KB, create 2 threads per file, affinitize threads
to CPUs 0 and 1 (each file will have threads affinitized to both CPUs) and run read test
lasting 10 seconds:

diskspd -c1G -b4K -t2 -d10 -a0,1 testfile1.dat testfile2.dat

Where to learn more


The following are related links to read more about servver (cloud, virtual and physical) storage I/O benchmarking tools, technologies and techniques.
resource page

Server and Storage I/O Benchmarking 101 for Smarties.

Microsoft Diskspd download and Microsoft Diskspd overview (via Technet)

I/O, I/O how well do you know about good or bad server and storage I/Os?

Server and Storage I/O Benchmark Tools: Microsoft Diskspd (Part I and Part II)

Wrap up and summary, for now…


This wraps up part-one of this two-part post taking a look at Microsoft Diskspd benchmark and workload generation tool. In part-two (here) of this post series we take a closer look including a test drive using Microsoft Diskspd.

Ok, nuff said (for now)

Cheers gs

Greg Schulz – Author Cloud and Virtual Data Storage Networking (CRC Press), The Green and Virtual Data Center (CRC Press) and Resilient Storage Networks (Elsevier)

twitter @storageio


All Comments, (C) and (TM) belong to their owners/posters, Other content (C) Copyright 2006-2024 Server StorageIO and UnlimitedIO LLC All Rights Reserved

Cloud Conversations: Revisiting re:Invent 2014 and other AWS updates

server storage I/O trends

This is part one of a two-part series about Amazon Web Services (AWS) re:Invent 2014 and other recent cloud updates, read part two here.

Revisiting re:Invent 2014 and other AWS updates

AWS re:Invent 2014

A few weeks ago I attended Amazon Web Service (AWS) re:Invent 2014 in Las Vegas for a few days. For those of you who have not yet attended this event, I recommend adding it to your agenda. If you have interest in compute servers, networking, storage, development tools or management of cloud (public, private, hybrid), virtualization and related topic themes, you should check out AWS re:invent.

AWS made several announcements at re:invent including many around development tools, compute and data storage services. One of those to keep an eye on is cloud based Aurora relational database service that complement existing RDS tools. Aurora is positioned as an alternative to traditional SQL based transactional databases commonly found in enterprise environments (e.g. SQL Server among others).

Some recent AWS announcements prior to re:Invent include

AWS vCenter Portal

Using the AWS Management Portal for vCenter adds a plug-in within your VMware vCenter to manage your AWS infrastructure. The vCenter for AWS plug-in includes support for AWS EC2 and Virtual Machine (VM) import to migrate your VMware VMs to AWS EC2, create VPC (Virtual Private Clouds) along with subnet’s. There is no cost for the plug-in, you simply pay for the underlying AWS resources consumed (e.g. EC2, EBS, S3). Learn more about AWS Management Portal for vCenter here, and download the OVA plug-in for vCenter here.

AWS re:invent content


AWS Andy Jassy (Image via AWS)

November 12, 2014 (Day 1) Keynote (highlight video, full keynote). This is the session where AWS SVP Andy Jassy made several announcements including Aurora relational database that complements existing RDS (Relational Data Services). In addition to Andy, the key-note sessions also included various special guests ranging from AWS customers, partners and internal people in support of the various initiatives and announcements.


Amazon.com CTO Werner Vogels (Image via AWS)

November 13, 2014 (Day 2) Keynote (highlight video, full keynote). In this session, Amazon.com CTO Werner Vogels appears making announcements about the new Container and Lambda services.

AWS re:Invent announcements

Announcements and enhancements made by AWS during re:Invent include:

  • Key Management Service (KMS)
  • Amazon RDS for Aurora
  • Amazon EC2 Container Service
  • AWS Lambda
  • Amazon EBS Enhancements
  • Application development, deployed and life-cycle management tools
  • AWS Service Catalog
  • AWS CodeDeploy
  • AWS CodeCommit
  • AWS CodePipeline

Key Management Service (KMS)

Hardware security module (HSM) based key managed service for creating and control of encryption keys to protect security of digital assets and their keys. Integration with AWS EBS and others services including S3 and Redshift along with CloudTrail logs for regulatory, compliance and management. Learn more about AWS KMS here

AWS Database

For those who are not familiar, AWS has a suite of database related services including SQL and no SQL based, simple to transactional to Petabyte (PB) scale data warehouses for big data and analytics. AWS offers the Relational Database Service (RDS) which is a suite of different database types, instances and services. RDS instance and types include SimpleDB, MySQL, Postgress, Oracle, SQL Server and the new AWS Aurora offering (read more below).  Other little data database and big data repository related offerings include DynamoDB (a non-SQL database), ElasticCache (in memory cache repository) and Redshift (large-scale data warehouse and big data repository).

In addition to database services offered by AWS, you can also combine various AWS resources including EC2 compute, EBS and other storage offerings to create your own solution. For example there are various Amazon Machine Images (AMI’s) or pre-built operating systems and database tools available with EC2 as well as via the AWS Marketplace , such as MongoDB and Couchbase among others. For those not familiar with MongoDB, Couchbase, Cassandra, Riak along with other non SQL or alternative databases and key value repositories, check out Seven Databases in Seven Weeks in my book review of it here.

Seven Databases book review
Seven Databases in Seven Weeks and NoSQL movement available from Amazon.com

Amazon RDS for Aurora

Aurora is a new relational database offering part of the AWS RDS suite of services. Positioned as an alternative to commercial high-end database, Aurora is a cost-effective database engine compatible with MySQL. AWS is claiming 5x better performance than standard MySQL with Aurora while being resilient and durable. Learn more about Aurora which will be available in early 2015 and its current preview here.

Amazon EC2 C4 instances

AWS will be adding a new C4 instance as a next generation of EC2 compute instance based on Intel Xeon E5-2666 v3 (Haswell) processors. The Intel Xeon E5-2666 v3 processors run at a clock speed of 2.9 GHz providing the highest level of EC2 performance. AWS is targeting traditional High Performance Computing (HPC) along with other compute intensive workloads including analytics, gaming, and transcoding among others. Learn more AWS EC2 instances here, and view this Server and StorageIO EC2, EBS and associated AWS primer here.

Amazon EC2 Container Service

Containers such as those via Docker have become popular to support developers rapidly build as well as deploy scalable applications. AWS has added a new feature called EC2 Container Service that supports Docker using simple API’s. In addition to supporting Docker, EC2 Container Service is a high performance scalable container management service for distributed applications deployed on a cluster of EC2 instances. Similar to other EC2 services, EC2 Container Service leverages security groups, EBS volumes and Identity Access Management (IAM) roles along with scheduling placement of containers to meet your needs. Note that AWS is not alone in adding container and docker support with Microsoft Azure also having recently made some announcements, learn more about Azure and Docker here. Learn more about EC2 container service here and more about Docker here.

Docker for smarties

Continue reading about re:Invent 2014 and other recent AWS enhancements here in part two of this two-part series.

Ok, nuff said (for now)

Cheers gs

Greg Schulz – Author Cloud and Virtual Data Storage Networking (CRC Press), The Green and Virtual Data Center (CRC Press) and Resilient Storage Networks (Elsevier)
twitter @storageio

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