Amazon Web Services Archives - Page 4 of 5

Green Storage? Meh!

By cfheoh | December 3, 2019 - 11:19 am |December 3, 2019 Amazon Web Services, Analytics, API, Artificial Intelligence, Backup, Big Data, Business Continuity, Cloud, Composable Infrastructure, Data, Data Fabric, Data Management, Data Protection, Data Security, Deduplication, Digital Transformation, Disaster Recovery, Disks, Edge Computing, Google, Green, Green Computing, High Performance Computing, Hyperconvergence, IoT, Liqid, Machine Learning, Openstack, Oracle Cloud, Performance Benchmark, Performance Caching, Rackspace, Software Defined Storage, Software-defined Datacenter, Solid State Devices, Storage Optimization, Storage Tiering, Strongbox, Tape storage, Unified Storage, virtual tape library

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Something triggered my thoughts a few days ago. A few of us got together talking about climate change and a friend asked how green was the datacenter in IT. With cloud computing booming, I would say that green computing isn’t really the hottest thing at present. That in turn, leads us to one of the most voracious energy beasts in the datacenter, storage. Where is green storage in the equation?

What is green?

Over the past decade, several storage related technologies were touted as more energy efficient. These include

Tape – when tapes are offline, they do not consume power and do not require cooling
Virtualization – Virtualization reduces the number of servers and desktops, and of course storage too
MAID (Massive Array of Independent Disks) – the arrays spin down the HDDs if idle for a period of time
SSD (Solid State Drives) – Compared to HDDs, SSDs consume much less power, and overall reduce the cooling needs
Data Footprint Reduction – Deduplication, compression and other technologies to reduce copies of data
SMR (Shingled Magnetic Recording) Drives – Higher areal density means less drives but limited by physics.

The largest gorilla in storage technology

HDDs still dominate the market and they are the biggest producers of heat and vibration in a storage array, along with the redundant power supplies and fans. Until and unless SSDs dominate, we have to live with the fact that storage disk drives are not green. The statistics from Statistica below forecasts that in 2021, the shipment of SSDs will surpass HDDs.

Today the areal density of HDDs have increased. With SMR (shingled magnetic recording), the areal density jumped about 25% more than the 1Tb/inch (Terabit per inch) in the CMR (conventional magnetic recording) drives. The largest SMR in the market today is 16TB from Seagate with 18TB SMR in the horizon. That capacity is going to grow significantly when EAMR (energy assisted magnetic recording) – which counts heat assisted and microwave assisted – drives enter the market next year. The areal density will grow to 1.6Tb/inch with a roadmap to 4.0Tb/inch. Continue reading →

Time to Advocate Common Data Personality

By cfheoh | November 25, 2019 - 12:33 pm |November 25, 2019 Amazon Web Services, Analytics, API, Artificial Intelligence, Big Data, Commvault, Containers, Data Archiving, Data Availability, Data Management, Data Privacy, Data Protection, Data Security, Deep Learning, Digital Transformation, eDiscovery, Hadoop, Hadoop Clusters, HDS, Hedvig, Hitachi Vantara, InfluxDB, Machine Learning, MapReduce, Object Storage

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The thought of it has been on my mind since Commvault GO 2019. It was sparked when Don Foster, VP of Storage Solutions of Commvault answered a question posted by one of the analysts. What he said made a connection, as I was searching for the better insights to how Commvault and Hedvig would end up to be together.

Data Deluge is a swamp thing now

Several years ago, I heard Stephen Brobst, CTO of Teradata brought up the term “Data Swamp“. It was the anti- part of the Data Lakes, and this was back when Data Lakes and Hadoop were all the rage. His comments were raw, honest and it was leading to the truth out there.

Source: https://www.deviantart.com/rhineville/art/God-that-Crawls-Detail-2-291228644

I was enamoured by his thoughts at the time, and today, his comments about the Data Swamp manifested itself. Continue reading →

Data Renaissance in Oil and Gas

By cfheoh | October 3, 2019 - 6:11 pm |October 3, 2019 Acquisition, Amazon Web Services, Analytics, API, Appliance, Artificial Intelligence, Big Data, Cloud, Clusters, Data Management, Data Privacy, Data Protection, Data Security, Deep Learning, Digital Transformation, eDiscovery, Google, Hadoop Clusters, High Performance Computing, Hyperconvergence, Industry 4.0, Intel, Machine Learning, Microsoft, nVidia, Oracle Cloud, Virtualization

Secure Private Sync and Share with EasiShare

By cfheoh | June 28, 2019 - 6:40 am |June 28, 2019 Amazon Web Services, API, Backup, Business Continuity, BYOD, Data Availability, Data Management, Data Privacy, Data Protection, Data Security, Digital Transformation, Dropbox, EasiShare, Katana Logic, SMB

Shadow IT or Stealth IT

There was a BYOD (bring your own device) craze about a decade ago. The darling of the BYOD craze, Dropbox was on every vendor’s lips and many look-a-likes sprouted like mushrooms. Microsoft OneDrive (previously known as SkyDrive), Google Drive, and of course, Dropbox and many others are still serving a growing customer base, together with many others. But most of them have taken a different, more mature form, a market where Gartner has defined as Enterprise File Sync and Share several years ago. And today, that market is shifting again, and soon to be known as Content Collaboration Platform.

But Shadow IT remains where many users are facing challenges with their IT department. Rigid, archaic, and difficult have forced end users to take matters into their own hands to share files, away from the controls and structures. And those free GBs from those cloud storage providers looked so tempting …

The picture above is someone unlocking a safe. I have literally seen an IT department keeping their files on disks and then keep them in a safe! When they want to share it, they have to run the safe combinations to bring out the disks, and they did it in front of me. It was funny then but the paranoia is real! Some IT departments are really that pain-in-the-a$$.

A business risk

Shadow IT is a risk. Security is often the touted risk, but the issue goes beyond just security. Often, the compromised issue represents a degradation of the company’s brand, image and customer confidence, and could lead to negative reverberation of the company’s business.

Time to regain control and secure file access

EasiShare, a private military-grade, enterprise file sync and share platform is a solution I am exploring. It is similar to the Dropbox concept many are familiar with, but without the security concerns and heavy applications of Dropbox, OneDrive or Google Drive.

Many organizations in Malaysia have expressed concerns about data privacy and security. And this is a great opportunity for Malaysian companies to consider data privacy and security seriously, especially with Shadow IT looming to comprise the control of the IT departments.

Continue reading →

Hybrid is the new Black

By cfheoh | June 19, 2019 - 7:25 am |June 19, 2019 Amazon Web Services, API, Business Continuity, Cloud, Containers, Data Availability, Data Fabric, Data Management, Data Privacy, Data Protection, Data Security, Digital Transformation, HPE, Hyperconvergence, IBM, Microsoft, NetApp, Object Storage, Oracle Cloud, Software-defined Datacenter, swiftstack, Virtualization, VMware

Confidence or lack of it

Those 2 cited examples should be big enough to usher enterprises to confidently embrace public cloud services, but many enterprises have been holding back. What gives?

In the past, it was a matter of confidence and the FUDs (fears, uncertainties, doubts). News about security breaches, massive blackouts have been widely spread and amplified to sensationalize the effects and consequences of cloud services. But then again, we get the same thing in poorly managed data centers in enterprises and government agencies, often with much less fanfare. We shrug our shoulder and say “Oh well!“.

The lack of confidence factor, I think, has been overthrown. The “Cloud First” strategy in enterprises in recent years speaks volume of the growing and maturing confidence in cloud services. The poor performance and high latency reasons, which were once an Achilles heel of cloud services, are diminishing. HPC-as-a-Service is becoming real.

The confidence in cloud services is strong. Then why is on-premises IT suddenly is a cool thing again? Why is hybrid cloud getting all the attention now?

Hybrid is coming back

Even AWS wants on-premises IT. Its Outposts offering outlines its ambition. A couple of years earlier, the Azure Stack was already made beachhead on-premises in its partnership with many server vendors. VMware, is in both on-premises and the public clouds. It has strong business and technology integration with AWS and Azure. IBM Cloud, Big Blue is thinking hybrid as well. 2 months ago, Dell jumped too, announcing Dell Technologies Cloud with plenty of a razzmatazz, using all the right moves with its strong on-premises infrastructure portfolio and its crown jewel of the federation, VMware. Continue reading →

Dell go big with Cloud

By cfheoh | May 2, 2019 - 12:23 am |May 2, 2019 Acquisition, Amazon Web Services, API, Appliance, Artificial Intelligence, Backup, Cloud, Data Domain, Data Management, Data Protection, Data Security, Dell, DellEMC, Edge Computing, High Performance Computing, Hyperconvergence, Industry 4.0, Intel, IoT, Machine Learning, Software Defined Storage, Software-defined Datacenter, Tech Field Day, Virtualization, VMware

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[Disclaimer: I have been invited by Dell Technologies as a delegate to their Dell Technologies World 2019 Conference from Apr 29-May 1, 2019 in the Las Vegas USA. My expenses, travel and accommodation are covered by Dell Technologies, the organizer and I am not obligated to blog or promote their technologies presented at this event. The content of this blog is of my own opinions and views]

Talk about big. Dell Technologies just went big with the Cloud.

The Microsoft Factor

Day 1 of Dell Technologies World 2019 (DTW19) started with a big surprise to many, including yours truly when Michael Dell, together with Pat Gelsinger invited Microsoft CEO, Satya Nadella on stage.

There was nothing new about Microsoft working with Dell Technologies. Both have been great partners since the PC days, but when they announced Azure VMware Solutions to the 15,000+ attendees of the conference, there was a second of disbelief, followed by an ovation of euphoria.

VMware solutions will run native on Microsoft Azure Cloud. The spread of vSphere, VSAN, vCenter, NSX-T and VMware tools and environment will run on Azure Bare Metal Infrastructure at multiple Azure locations. How big is that. Continue reading →

Lift and Shift Begone!

By cfheoh | April 25, 2019 - 5:30 pm |April 25, 2019 Amazon, Amazon Web Services, Cloud, Composable Infrastructure, Data Availability, Data Fabric, Data Management, High Performance Computing, Hyperconvergence, Mellanox Technologies, NetApp, NVMe, Server SAN, Software Defined Storage

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I am excited. New technologies are bringing the data (and storage) closer to processing and compute than ever before. I believe the “Lift and Shift” way would be a thing of the past … soon.

Data is heavy

Moving data across the network is painful. Moving data across distributed networks is even more painful. To compile the recent first image of a black hole, an amount of 5PB or more had to shipped for central processing. If this was moved over a 10 Gigabit network, it would have taken weeks.

Furthermore, data has dependencies. Snapshots, clones, and other data relationships with applications and processes render data inert, weighing it down like an anchor of a ship.

When I first started in the industry more than 25 years ago, Direct Attached Storage (DAS) was the dominating storage platform. I had a bulky Sun MultiDisk Pack connected via Fast SCSI to my SPARCstation 2 (diagram below):

Then I was assigned as the implementation engineer for Hock Hua Bank (now defunct) retail banking project in their Sibu HQ in East Malaysia. It was the first Sun SPARCstorage 1000 (photo below), running a direct attached Fibre Channel 0.25 Gbps FCAL (Fibre Channel Arbitrated Loop). It was the cusp of the birth of SAN (Storage Area Network).

Photo from https://www.cca.org/dave/tech/sys5/

The proliferation of SAN over the next 2 decades pushed DAS into obscurity, until SAS (Serial Attached SCSI) came about. Added to the mix was the prominence of Cloud Storage. But on-premises storage and Cloud Storage didn’t always come together. There was always a valley between the 2, until the public clouds gained a stronger foothold in the minds of IT and businesses. Today, both on-premises storage and cloud storage are slowly cosying as one Data Singularity, thanks to vision and conceptualization of data fabrics. NetApp was an early proponent of the Data Fabric concept 4 years ago. Continue reading →

Figuring out storage for Kubernetes and containers

By cfheoh | April 16, 2019 - 6:44 pm |April 16, 2019 Amazon Web Services, API, Cloud, Containers, Data, Data Archiving, Data Availability, Data Management, Data Protection, Data Security, Docker, Edge Computing, Elastifile, Fibre Channel, Filesystems, Google, Hyperconvergence, Kubernetes, NFS, Openstack, Performance Benchmark, Performance Caching, Robin.io, Snapshots, Software Defined Storage, Storage Optimization, Virtualization, VMware

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Oops! I forgot about you!

To me, containers and container orchestration (CO) engines such as Kubernetes, Mesos, Docker Swarm are fantastic. They scale effortlessly and are truly designed for cloud native applications (CNA).

But one thing irks me. Storage management for containers and COs. It was as if when they designed and constructed containers and the containers orchestration (CO) engines, they forgot about the considerations of storage and storage management. At least the persistent part of storage.

Over a year ago, I was in two minds about persistent storage, especially when it comes to the transient nature of microservices which was so prevalent and were inundating the cloud native applications landscape. I was searching for answers in my blog. The decentralization of microservices in containers means mass deployment at the edge, but to have the pre-processed and post-processed data stick to the persistent storage at the edge device is a challenge. The operative word here is “STICK”.

Two different worlds

Containers were initially designed and built for lightweight applications such as microservices. The runtime, libraries, configuration files and dependencies are all in one package. They were meant to do simple tasks quickly and scales to thousands easily. They could be brought up and brought down in little time and did not have to bother about the persistent data stored by the host. The state of the containers were also not important to the application tasks at hand.

Today containers like Docker have matured to run enterprise applications and the state of the container is important. The applications must know the state and the health of the container. The container could be in online mode, online but not accepting data mode, suspended mode, paused mode, interrupted mode, quiesced mode or halted mode. Each mode or state of the container is important to the running applications and the container can easily brought up or down in an instance of a command. The stateful nature of the containers and applications is critical for the business. The same situation applies to container orchestration engines such as Kubernetes.

Container and Kubernetes Storage

Docker provides 3 methods to local storage. In the diagram below, it describes:

Continue reading →

WekaIO controls their performance destiny

By cfheoh | March 17, 2019 - 5:33 pm |March 17, 2019 Amazon Web Services, Analytics, Appliance, Big Data, CIFS, Cloud, Deep Learning, Filesystems, Flash, High Performance Computing, Infiniband, Linux, Lustre, Machine Learning, Mellanox Technologies, NAS, NetApp, NFS, NVMe, Object Storage, PCIe, Performance Benchmark, Performance Caching, RDMA, Scale-out architecture, SMB, Software Defined Storage, Storage Field Day, Storage Optimization, Storage Tiering, Tech Field Day, Virtualization, WekaIO, Western Digital

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[Preamble: I have been invited by GestaltIT as a delegate to their Tech Field Day for Storage Field Day 18 from Feb 27-Mar 1, 2019 in the Silicon Valley USA. My expenses, travel and accommodation were covered by GestaltIT, the organizer and I was not obligated to blog or promote their technologies presented at this event. The content of this blog is of my own opinions and views]

I was first introduced to WekaIO back in Storage Field Day 15. I did not blog about them back then, but I have followed their progress quite attentively throughout 2018. 2 Storage Field Days and a year later, they were back for Storage Field Day 18 with a new CTO, Andy Watson, and several performance benchmark records.

Blowout year

2018 was a blowout year for WekaIO. They have experienced over 400% growth, placed #1 in the Virtual Institute IO-500 10-node performance challenge, and also became #1 in the SPEC SFS 2014 performance and latency benchmark. (Note: This record was broken by NetApp a few days later but at a higher cost per client)

The Virtual Institute for I/O IO-500 10-node performance challenge was particularly interesting, because it pitted WekaIO against Oak Ridge National Lab (ORNL) Summit supercomputer, and WekaIO won. Details of the challenge were listed in Blocks and Files and WekaIO Matrix Filesystem became the fastest parallel file system in the world to date.

Control, control and control

I studied WekaIO’s architecture prior to this Field Day. And I spent quite a bit of time digesting and understanding their data paths, I/O paths and control paths, in particular, the diagram below:

Starting from the top right corner of the diagram, applications on the Linux client (running Weka Client software) and it presents to the Linux client as a POSIX-compliant file system. Through the network, the Linux client interacts with the WekaIO kernel-based VFS (virtual file system) driver which coordinates the Front End (grey box in upper right corner) to the Linux client. Other client-based protocols such as NFS, SMB, S3 and HDFS are also supported. The Front End then interacts with the NIC (which can be 10/100G Ethernet, Infiniband, and NVMeoF) through SR-IOV (single root IO virtualization), bypassing the Linux kernel for maximum throughput. This is with WekaIO’s own networking stack in user space. Continue reading →

Bridges to the clouds and more – NetApp NDAS

By cfheoh | March 15, 2019 - 7:48 am |March 15, 2019 Amazon Web Services, Analytics, API, Artificial Intelligence, Backup, Big Data, Cloud, Cohesity, Data Archiving, Data Availability, Data Fabric, Data Management, Data Protection, Data Security, Deep Learning, Disaster Recovery, Hyperconvergence, ILM, Machine Learning, NetApp, Reliability, Snapshots, Storage Field Day, Storage Tiering, Tech Field Day

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The NetApp Data Fabric Vision

The NetApp Data Fabric vision has always been clear to me. Maybe it was because of my 2 stints with them, and I got well soaked in their culture. 3 simple points define the vision.

The Data Fabric is THE data singularity. Data can be anywhere – on-premises, the clouds, and more.
Have bridges, paths and workflows management to the Data, to move the data to wherever the data may be.
Work with technology partners to build tools and data systems to elevate the value of the data

That is how I see it. I wrote about the Transcendence of the Data Fabric vision 3+ years ago, and I emphasized the importance of the Data Pipeline in another NetApp blog almost a year ago. The introduction of NetApp Data Availability Services (NDAS) in the recently concluded Storage Field Day 18 was no different as NetApp constructs data bridges and paths to the AWS Cloud.

NetApp Data Availability Services

The NDAS feature is only available with ONTAP 9.5. With less than 5 clicks, data from ONTAP primary systems can be backed up to the secondary ONTAP target (running the NDAS proxy and the Copy to Cloud API), and then to AWS S3 buckets in the cloud.

Continue reading →

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