Category Archives: Data Corruption

What next after Cyber Resiliency?

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There was a time some years ago when some storage vendors, especially the object storage ones, started calling themselves the “last line of defence”. And even further back, when the purpose-built backup appliances (PBBAs) first appeared, a very smart friend of mine commented that they shouldn’t call it “backup appliance”, but rather they should call it “restore appliance”. That was because the data restoration part, or to be more relevant in today’s context, data recovery is the key to a crucial line of defence against cybersecurity threats to data, especially ransomware. We have a saying in the industry. “Hundreds of good backups are not as good as one good restore.” Of course, this data restoration part has become more sophisticated in the data recovery processes.

In recent years, we also seen the amalgamation of both data protection species – the backup/restore side and the cybersecurity side – giving rise to the term and the proliferation of Cyber Resilience.

Dialing Cyber Resilience (Picture from tehtris.com)

I have no qualms or lack of confidence of the cyber resilience technologies. I am pretty sure they can do the job extremely well, so much so, that some give million dollars guarantees if ever their solution failed. Druva announced their Data Resiliency Guarantee of USD$10 million and Rubrik has their Ransomware Recovery Warranty.

Of course, these warranties and guarantees come with terms and conditions, and caveats and not everyone is besotted by these big numbers’ payout. My friend, Andrew Martin, wrote a tongue-in-cheek piece last year about Rubrik’s warranty guarantee in his Data Storage Asia blog last year, which discussed whether it was Rubrik’s genuineness or spuriousness that might win or lose customers’ affections. You should read his blog to decide.

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Making Immutability the key factor in a Resilient Data Protection strategy

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We often hear “Cyber Resilience” word thrown around these days. Every backup vendor has a cybersecurity play nowadays. Many have morphed into cyber resilience warrior vendors, and there is a great amount of validation in terms of Cyber Resilience in a data protection world. Don’t believe me?

Check out this Tech Field Day podcast video from a month ago, where my friends, Tom Hollingsworth and Max Mortillaro discussed the topic meticulously with Krista Macomber, who has just become the Research Director for Cybersecurity at The Futurum Group (Congrats, Krista!).

Cyber Resilience, as well articulated in the video, is not old wine in a new bottle. The data protection landscape has changed significantly since the emergence of cyber threats and ransomware that it warrants the coining of the Cyber Resilience terminology.

But I want to talk about one very important cog in the data protection strategy, of which cyber resilience is part of. That is Immutability, because it is super important to always consider immutable backups as part of that strategy.

It is no longer 3-2-1 anymore, Toto. 

When it comes to backup, I always start with 3-2-1 backup rule. 3 copies of the data; 2 different media; 1 offsite. This rule has been ingrained in me since the day I entered the industry over 3 decades ago. It is still the most important opening line for a data protection specialist or a solution architect. 3-2-1 is the table stakes.

Yet, over the years, the cybersecurity threat landscape has moved closer and closer to the data protection, backup and recovery realm. This is now a merged super-segment pangea called cyber resilience. With it, the conversation from the 3-2-1 backup rule in these last few years is now evolving into something like 3-2-1-1-0 backup rule, a modern take of the 3-2-1 backup rule. Let’s take a look at the 3-2-1-1-0 rule (simplified by me).

The 3-2-1-1-0 Backup rule (Credit: https://www.dataprise.com/services/disaster-recovery/baas/)

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NIST CSF 2.0 brings Data Governance into the light

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In the past weekend, I watched a CNA Insider video delving into Data Theft in Malaysia. It is titled “Data Theft in Malaysia: How your personal information may be exploited | Cyber Scammed”.

You can watch the 45-minute video below.

Such dire news is nothing new. We Malaysians are numbed to those telemarketers calling and messaging to offer their credit card services, loans, health spa services. You name it; there is something to sell. Of course, these “services” are mostly innocuous, but in recent years, the forms of scams are risen up several notches and severity levels. The levels of sophistication, the impacts, and the damages (counting financial and human casualties) have rocketed exponentially. Along with the news, mainstream and others, the levels of awareness and interests in data, especially PII (personal identifiable information) in Malaysians, are at its highest yet.

Yet the data theft continues unabated. Cybersecurity Malaysia (CSM), just last week, reported a 1,192% jump of data theft cases in Malaysia in 2023. In an older news last year, cybersecurity firm Surf Shark ranked Malaysia as the 8th most breached country in Q3 of 2023.
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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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Crash consistent data recovery for ZFS volumes

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While TrueNAS® CORE and TrueNAS® Enterprise are more well known for its NAS (network attached storage) prowess, many organizations are also confidently placing their enterprise applications such as hypervisors and databases on TrueNAS® via SANs (storage area networks) as well. Both iSCSI and Fibre Channel™ (selected TrueNAS® Enterprise storage models) protocols are supported well.

To reliably protect these block-based applications via the SAN protocols, ZFS snapshot is the key technology that can be dependent upon to restore the enterprise applications quickly. However, there are still some confusions when it comes to the state of recovery from the ZFS snapshots. On that matter, this situations are not unique to the ZFS environments because as with many other storage technologies, the confusion often stem from the (mis)understanding of the consistency state of the data in the backups and in the snapshots.

Crash Consistency vs Application Consistency

To dispel this misunderstanding, we must first begin with the understanding of a generic filesystem agnostic snapshot. It is a point-in-time copy, just like a data copy on the tape or in the disks or in the cloud backup. It is a complete image of the data and the state of the data at the storage layer at the time the storage snapshot was taken. This means that the data and metadata in this snapshot copy/version has a consistent state at that point in time. This state is frozen for this particular snapshot version, and therefore it is often labeled as “crash consistent“.

In the event of a subsystem (application, compute, storage, rack, site, etc) failure or a power loss, data recovery can be initiated using the last known “crash consistent” state, i.e. restoring from the last good backup or snapshot copy. Depending on applications, operating systems, hypervisors, filesystems and the subsystems (journals, transaction logs, protocol resiliency primitives etc) that are aligned with them, some workloads will just continue from where it stopped. It may already have some recovery mechanisms or these workloads can accept data loss without data corruption and inconsistencies.

Some applications, especially databases, are more sensitive to data and state consistencies. That is because of how these applications are designed. Take for instance, the Oracle® database. When an Oracle® database instance is online, there is an SGA (system global area) which handles all the running mechanics of the database. SGA exists in the memory of the compute along with transaction logs, tablespaces, and open files that represent the Oracle® database instance. From time to time, often measured in seconds, the state of the Oracle® instance and the data it is processing have to be synched to non-volatile, persistent storage. This commit is important to ensure the integrity of the data at all times.

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The Starbucks model for Storage-as-a-Service

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Starbucks™ is not a coffee shop. It purveys beyond coffee and tea, and food and puts together the yuppie beverages experience. The intention is to get the customers to stay as long as they can, and keep purchasing the Starbucks’ smorgasbord of high margin provisions in volume. Wifi, ambience, status, coffee or tea with your name on it (plenty of jokes and meme there), energetic baristas and servers, fancy coffee roasts and beans et. al. All part of the Starbucks™-as-a-Service pleasurable affair that intends to lock the customer in and have them keep coming back.

The Starbucks experience

Data is heavy and they know it

Unlike compute and network infrastructures, storage infrastructures holds data persistently and permanently. Data has to land on a piece of storage medium. Coupled that with the fact that data is heavy, forever growing and data has gravity, you have a perfect recipe for lock-in. All storage purveyors, whether they are on-premises data center enterprise storage or public cloud storage, and in between, there are many, many methods to keep the data chained to a storage technology or a storage service for a long time. The storage-as-a-service is like tying the cow to the stake and keeps on milking it. This business model is very sticky. This stickiness is also a lock-in mechanism.

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What If – The other side of Storage FUDs

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Streaming on Disney+ now is Marvel Studios’ What If…? animated TV series. In the first episode, Peggy Carter, instead of Steve Rogers, took the super soldier serum and became the first Avenger. The TV series explores alternatives and possibilities of what we may have considered as precept and the order of things.

As storage practitioners, we are often faced with certain “dogmatic” arguments which were often a mix of measured actuality and marketing magic – aka FUD (fear, uncertainty, doubt). Time and again, we are thrown a curve ball, like “Oh, your competitor can do this. Can you?” Suddenly you are feeling pinned to a corner, and the pressure to defend your turf rises. You fumbled; You have no answer; Game over!

I experienced these hearty objections many times over. The best experience was one particular meeting I had during my early days with NetApp® in 2000. I was only 1-2 months with the company, still wet between the ears with the technology. I was pitching the SnapMirror® to Ericsson Malaysia when the Scandinavian manager said, “I think you are lying!“. I was lost without a response. I fumbled spectacularly although I couldn’t remember if we won or lost that opportunity.

Here are a few I often encountered. Let’s play the game of What If …?

What If …?

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Rethinking File Security Fundamentals

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I took a week off blogging last week but the lazy days were inundated by bad news. A few more devastating ransomware attacks. This time, Colonial Pipeline in the US was hacked and its networks were shutdown by ransomware. These ransomware threats are never ending, and they are getting more damaging than ever. It is like trying to plug a leaking boat with your hands, and more leaks appear as you plug them.

More ransomware news hitting healthcare around the world last week:

We are forever chasing for a solution, forever losing because almost all technology defenses to protect the data against ransomware are reactive. Why is ransomware still such a big threat then?  Time to rethink file security fundamentals.

Data everywhere

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The other pandemic – Datanemic

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It is a disaster. No matter what we do, the leaks and the cracks are appearing faster than we are fixing it. It is a global pandemic.

I am not talking about COVID-19, the pandemic that has affected our lives and livelihood for over a year. I am talking about the other pandemic – the compromise of security of data.

In the past 6 months, the data leaks, the security hacks, the ransomware scourge have been more devastating than ever. Here are a few big ones that happened on a global scale:

Data Security Breach, Cyber Attack, Ransomware

Closer to home, here in South East Asia, we have

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