Category Archives: Data Security

Open Source Storage and Data Responsibility

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There was a Super Blue Moon a few days ago. It was a rare sky show. Friends of mine who are photo and moon gazing enthusiasts were showing off their digital captures online. One ignorant friend, who was probably a bit envious of the other people’s attention, quipped that his Oppo Reno 10 Pro Plus can take better pictures. Oppo Reno 10 Pro Plus claims 3x optical zoom and 120x digital zoom. Yes, 120 times!

Yesterday, a WIRED article came out titled “How Much Detail of the Moon Can Your Smartphone Really Capture?” It was a very technical article. I thought the author did an excellent job explaining the physics behind his notes. But I also found the article funny, flippant even, when I juxtaposed this WIRED article to what my envious friend was saying the other day about his phone’s camera.

Super Blue Moon 2023

Open Source storage expectations and outcomes

I work for iXsystems™. Open Source has been its DNA for over 30 years. Similarly, I have also worked on Open Source (decades before it was called open source) in my home labs ever since I entered the industry. I had SoftLanding Linux System 3.5″ diskette (Linux kernel 0.99), and I bought a boxed set of FreeBSD OS from Walnut Creek (photo below). My motivation was to learn as much as possible about information technology world because I was making my first steps into building my career (I was also quietly trying to prove my father wrong) in the IT industry.

FreeBSD Boxed Set (circa 1993)

 

Open source has democratized technology. It has placed the power of very innovative technology into the hands of the common people With Open Source, I see the IT landscape changing as well, especially for home labers like myself in the early years. Social media platforms, FAANG (Facebook, Apple, Amazon, Netflix, Google), etc, etc, have amplified that power (to the people). But with that great power, comes great responsibility. And some users with little technology background start to have hallucinated expectations and outcomes. Just like my friend with the “powerful” Oppo phone.

Likewise, in my world, I have plenty of anecdotes of these types of open source storage users having wild expectations, but little skills to exact the reality.

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A Data Management culture to combat Ransomware

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On the road, seat belt saves lives. So does the motorcycle helmet. But these 2 technologies alone are probably not well received and well applied daily unless there is a strong ecosystem and culture about road safety. For decades, there have been constant and unrelenting efforts to enforce the habits of putting on the seat belt or the helmet. Statistics have shown they reduce road fatalities, but like I said, it is the safety culture that made all this happen.

On the digital front, the ransomware threats are unabated. In fact, despite organizations (and individuals), both large and small, being more aware of cyber-hygiene practices more than ever, the magnitude of ransomware attacks has multiplied. Threat actors still see weaknesses and gaps, and vulnerabilities in the digital realms, and thus, these are lucrative ventures that compliment the endeavours.

Time to look at Data Management

The Cost-Benefits-Risks Conundrum of Data Management

And I have said this before in the past. At a recent speaking engagement, I brought it up again. I said that ransomware is not a cybersecurity problem. Ransomware is a data management problem. I got blank stares from the crowd.

I get it. It is hard to convince people and companies to embrace a better data management culture. I think about the Cost-Benefits-Risk triangle while I was analyzing the lack of data management culture used in many organizations when combating ransomware.

I get it that Cybersecurity is big business. Even many of the storage guys I know wanted to jump into the cybersecurity bandwagon. Many of the data protection vendors are already mashing their solutions with a cybersecurity twist. That is where the opportunities are, and where the cool kids hang out. I get it.

Cybersecurity technologies are more tangible than data management. I get it when the C-suites like to show off shiny new cybersecurity “toys” because they are allowed to brag. Oh, my company has just implemented security brand XXX, and it’s so cool! They can’t be telling their golf buddies that they have a new data management culture, can they? What’s that?

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Understanding security practices in File Synchronization

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Ho hum. Another day, and another data leak. What else is new?

The latest hullabaloo in my radar was from one of Malaysia’s reverent universities, UiTM, which reported a data leak of 11,891 student applicants’ private details including MyKad (national identity card) numbers of each individual. Reading from the news article, one can deduced that the unsecured link mentioned was probably from a cloud storage service, i.e. file synchronization software such as OneDrive, Google Drive, Dropbox, etc. Those files that can be easily shared via an HTTP/S URL link. Ah, convenience over the data security best practices. 

Cloud File Sync software

It irks me when data security practices are poorly practised. And it is likely that there is ignorance of data security practices in the first place.

It also irks me when many end users everywhere I have encountered tell me their file synchronization software is backup. That is just a very poor excuse of a data protection strategy, if any, especially in enterprise and cloud environments. Convenience, set-and-forget mentality. Out of sight. Out of mind. Right? 

Convenience is not data security. File Sync is NOT Backup

Many users are used to the convenience of file synchronization. The proliferation of cloud storage services with free Gigabytes here and there have created an IT segment based on BYOD, which transformed into EFSS, and now CCP. The buzzword salad involves the Bring-Your-Own-Device, which evolved into Enterprise-File-Sync-&-Share, and in these later years, Content-Collaboration-Platform.

All these are fine and good. The data industry is growing up, and many are leveraging the power of file synchronization technologies, be it on on-premises and from cloud storage services. Organizations, large and small, are able to use these file synchronization platforms to enhance their businesses and digitally transforming their operational efficiencies and practices. But what is sorely missing in embracing the convenience and simplicity is the much ignored cybersecurity housekeeping practices that should be keeping our files and data safe.

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Fibre Channel Protocol in a Zero Trust world

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Fibre Channel SANs (storage area networks) are touted as more secure than IP-based storage networks. In a way, that is true because Fibre Channel is a distinct network separated from the mainstream client-based applications. Moreover, the Fibre Channel protocol is entirely different from IP, and the deep understanding of the protocol, its implementations are exclusive to a selected cohort of practitioners and professionals in the storage technology industry.

The data landscape has changed significantly compared to the days where FC SANs were dominating the enterprise. The era was the mid 90s and early 2000s. EMC® was king; IBM® Shark was a top-tier predator; NetApp® was just getting over its WAFL™ NAS overdose to jump into Fibre Channel. There were other fishes in the Fibre Channel sea.

But the sands of storage networking have been shifting. Today, data is at the center of the universe. Data is the prized possession of every organization, and has also become the most coveted prize for data thieves, threat actors and other malefactors in the digital world. The Fibre Channel protocol has been changing too, under its revised specifications and implementations through its newer iterations in the past decade. This change in advancement of Fibre Channel as a storage networking protocol is less often mentioned, but nevertheless vital in the shift of the Fibre Channel SANs into a Zero Trust world.

Zones, masks and maps

Many storage practitioners are familiar with the type of security measures employed by Fibre Channel in the yesteryears. And this still rings true in many of the FC SANs that we know of today. For specific devices to connect to each other, from hosts to the storage LUNs (logical unit numbers), FC zoning must be configured. This could be hard zoning or soft zoning, where the concept involves segmentation and the grouping of configured FC ports of both the ends to “see” each other and to communicate, facilitated by the FC switches. These ports are either the initiators or the storage target, each with its own unique WWN (World Wide Name).

On top of zoning, storage practitioners also configure LUN masking at the host side, where only certain assigned LUNs from the storage array is “exposed” to the specific host initiators. In conjunction, at the storage array side, the LUNs are also associated to only a group of host initiators that are allowed to connect to the selected LUNs. This is the LUN mapping part.

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Societies in crisis. Data at Fault

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The deluge of data is astounding. We get bombarded and attacked by data every single waking minute of our day. And it will get even worse. Our senses will be numbed into submission. In the end, I ask in the sense of it all. Do we need this much information force fed to us at every second of our lives?

We have heard about the societies a decade ago living in the Information Age and now, we have touted the Social Age. TikTok, Youtube, Twitter, Spotify, Facebook, Metaverse(s) and so many more are creating societies that are defined by data, controlled by data and governed by data. Data can be gathered so easily now that it is hard to make sense of what is relevant or what is useful. Even worse, private data, information about the individual is out there either roaming without any security guarding it, or sold like a gutted fish in the market. The bigger “whales” are peddled to the highest bidder. So, to the prudent human being, what will it be?

Whatever the ages we are in, Information or Social, does not matter anymore. Data is used to feed the masses; Data is used to influence the population; Data is the universal tool to shape the societies, droning into submission and ruling them to oblivion.

Societies burn

GIGO the TikTok edition

GIGO is Garbage In Garbage Out. It is an age old adage to folks who have worked with data and storage for a long time. You put in garbage data, you get garbage output results. And if you repeat the garbage in enough times, you would have created a long lasting garbage world. So, imagine now that the data is the garbage that is fed into the targeted society. What will happen next is very obvious. A garbage society.

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Beyond the WORM with MinIO object storage

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I find the terminology of WORM (Write Once Read Many) coming back into the IT speak in recent years. In the era of rip and burn, WORM was a natural thing where many of us “youngsters” used to copy files to a blank CD or DVD. I got know about how WORM worked when I learned that the laser in the CD burning process alters the chemical compound in a segment on the plastic disc of the CD, rendering the “burned” segment unwritable once it was written but it could be read many times.

At the enterprise level, I got to know about WORM while working with tape drives and tape libraries in the mid-90s. The objective of WORM is to save and archive the data and files in a non-rewritable format for compliance reasons. And it was the data compliance and data protection parts that got me interested into data management. WORM is a big deal in many heavily regulated industries such as finance and banking, insurance, oil and gas, transportation and more.

Obviously things have changed. WORM, while very much alive in the ageless tape industry, has another up-and-coming medium in Object Storage. The new generation of data infrastructure and data management specialists are starting to take notice.

Worm Storage – Image from Hubstor (https://www.hubstor.net/blog/write-read-many-worm-compliant-storage/)

I take this opportunity to take MinIO object storage for a spin in creating WORM buckets which can be easily architected as data compliance repositories with many applications across regulated industries. Here are some relevant steps.

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Is denying public cloud storage a storm in a political teacup or something more?

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Ah, India! The country that gave us the Silicon Valley of Asia in Bengaluru, and exports over USD$150 billion software and IT services to the world.

Last week, the government of India banned the use of non-sanctioned public cloud storage such as Google® Drive and Dropbox®, plus the use of VPNs (virtual private networks). This is nothing new as China has banned foreign VPN services, Dropbox®, for years while Google® was adjusting its plans for China in 2020, with little hope to do more it is allowed to. I am not sure what the India’s alternatives are but China already has their own cloud storage services for a while now. So, what does this all mean?

India bans public cloud storage and VPN services

Public cloud storage services has been a boon for over a decade since Dropbox® entered the scene in 2008. BYOD (bring your own devices) became a constant in every IT person’s lips at that time. And with the teaser of 2GB or more, many still rely on these public cloud storage services with the ability to sync with tablets, smart phones and laptops. But the proliferation of these services also propagated many cybersecurity risks, and yes, ransomware can infect these public cloud storage. Even more noxious, the synchronization of files and folders of these services with on-premises storage devices makes it easy for infected data to spread, often with great efficacy.

Banning these widely available cloud storage applications is more than an inconvenience. Governments like China and India are shoring up their battlegrounds, as the battle for the protection and the privacy of sovereign data will not only escalate but also create a domino effect in the geopolitical dominance in the digital landscape.

We have already seen news that India is asserting its stance against China. First there was an app called “Remove China App” that came up in Google® Play Store in 2020. Also in 2020, the Ministry of Information Technology of India also banned 59 apps, mostly from China in order to protect the “sovereignty and integrity of India, defence of India, security of state and public order”.

This is not the war of 2 of the most populous nations of the world. Underneath these acts, there are more things to come, and it won’t just involve China and India. We will see other nations follow, with some already in the works to draw boundaries and demarcate digital borders in the name of data security, privacy, sovereignty and protection.

I hear of some foreign vendors lamenting about such a move. Most have already either complied with China’s laws or chose to exit that market. This recent move by India may feel like a storm in a teacup, but beneath it all, the undercurrent is getting stronger each day. A digital geopolitical tempest is percolating and brewing.

Is there no end to the threat of ransomware?

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I find it blasphemous that with all the rhetoric of data protection and cybersecurity technologies and solutions in the market today, the ransomware threats and damages have grown proportionately larger each year. In a recent report by Kaspersky on Anti-Ransomware Day May 12th, 9 out of 10 of organizations previously attacked by ransomware are willing to pay again if attacked again. A day before my scheduled talk in Surabaya East Java 2 weeks’ back, the chatter through the grapevine was one bank in Indonesia was attacked by ransomware on that day. These news proved how virulent and dangerous the ransomware scourge is and has become.

And the question that everyone wants an answer to is … why are ransomware threats getting bigger and more harmful and there are no solutions to it? 

Digital transformation and its data are very attractive targets

Today, all we hear from the data protection and storage vendors are recovery, restore that data blah, blah, blah and more blah, blah, blahs. The end point EDR (endpoint detection and response) solutions say they can stop it; the cybersecurity experts preach depth in defense; and the network security guys say use perimeter fencing. And the anti-phishing chaps say more awareness and education required. One or all have not worked effectively these few years. Ransomware’s threats and damages are getting worse. Why?

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Object Storage becoming storage lingua franca of Edge-Core-Cloud

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Data Fabric was a big buzzword going back several years. I wrote a piece talking about Data Fabric, mostly NetApp®’s,  almost 7 years ago, which I titled “The Transcendence of Data Fabric“. Regardless of storage brands and technology platforms, and each has its own version and interpretations, one thing holds true. There must be a one layer of Data Singularity. But this is easier said than done.

Fast forward to present. The latest buzzword is Edge-to-Core-Cloud or Cloud-to-Core-Edge. The proliferation of Cloud Computing services, has spawned beyond to multiclouds, superclouds and of course, to Edge Computing. Data is reaching to so many premises everywhere, and like water, data has found its way.

Edge-to-Core-to-Cloud (Gratitude thanks to https://www.techtalkthai.com/dell-technologies-opens-iot-solutions-division-and-introduces-distributed-core-architecture/)

The question on my mind is can we have a single storage platform to serve the Edge-to-Core-to-Cloud paradigm? Is there a storage technology which can be the seamless singularity of data? 7+ years onwards since my Data Fabric blog, The answer is obvious. Object Storage.

The ubiquitous object storage and the S3 access protocol

For a storage technology that was initially labeled “cheap and deep”, object storage has become immensely popular with developers, cloud storage providers and is fast becoming storage repositories for data connectors. I wrote a piece called “All the Sources and Sinks going to Object Storage” over a month back, which aptly articulate how far this technology has come.

But unknown to many (Google NASD and little is found), object storage started its presence in SNIA (it was developed in Carnegie-Mellon University prior to that) in the early 90s, then known as NASD (network attached secure disk). As it is made its way into the ANSI T10 INCITS standards development, it became known as Object-based Storage Device or OSD.

The introduction of object storage services 16+ years ago by Amazon Web Services (AWS) via their Simple Storage Services (S3) further strengthened the march of object storage, solidified its status as a top tier storage platform. It was to AWS’ genius to put the REST API over HTTP/HTTPS with its game changing approach to use CRUD (create, retrieve, update, delete) operations to work with object storage. Hence the S3 protocol, which has become the de facto access protocol to object storage.

Yes, I wrote those 2 blogs 11 and 9 years ago respectively because I saw that object storage technology was a natural fit to the burgeoning new world of storage computing. It has since come true many times over.

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Unstructured Data Observability with Datadobi StorageMAP

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Let’s face it. Data is bursting through its storage seams. And every organization now is storing too much data that they don’t know they have.

By 2025, IDC predicts that 80% the world’s data will be unstructured. IDC‘s report Global Datasphere Forecast 2021-2025 will see the global data creation and replication capacity expand to 181 zettabytes, an unfathomable figure. Organizations are inundated. They struggle with data growth, with little understanding of what data they have, where the data is residing, what to do with the data, and how to manage the voluminous data deluge.

The simple knee-jerk action is to store it in cloud object storage where the price of storage is $0.0000xxx/GB/month. But many IT departments in these organizations often overlook the fact that that the data they have parked in the cloud require movement between the cloud and on-premises. I have been involved in numerous discussions where the customers realized that they moved the data in the cloud moved too frequently. Often it was an erred judgement or short term blindness (blinded by the cheap storage costs no doubt), further exacerbated by the pandemic. These oversights have resulted in expensive and painful monthly API calls and egress fees. Welcome to reality. Suddenly the cheap cloud storage doesn’t sound so cheap after all.

The same can said about storing non-active unstructured data on primary storage. Many organizations have not been disciplined to practise good data management. The primary Tier 1 storage becomes bloated over time, grinding sluggishly as the data capacity grows. I/O processing becomes painfully slow and backup takes longer and longer. Sounds familiar?

The A in ABC

I brought up the ABC mantra a few blogs ago. A is for Archive First. It is part of my data protection consulting practice conversation repertoire, and I use it often to advise IT organizations to be smart with their data management. Before archiving (some folks like to call it tiering, but I am not going down that argument today), we must know what to archive. We cannot blindly send all sorts of junk data to the secondary or tertiary storage premises. If we do that, it is akin to digging another hole to fill up the first hole.

We must know which unstructured data to move replicate or sync from the Tier 1 storage to a second (or third) less taxing storage premises. We must be able to see this data, observe its behaviour over time, and decide the best data management practice to apply to this data. Take note that I said best data management practice and not best storage location in the previous sentence. There has to be a clear distinction that a data management strategy is more prudent than to a “best” storage premises. The reason is many organizations are ignorantly thinking the best storage location (the thought of the “cheapest” always seems to creep up) is a good strategy while ignoring the fact that data is like water. It moves from premises to premises, from on-prem to cloud, cloud to other cloud. Data mobility is a variable in data management.

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