Graham Russell 6 min

The shared responsibility model is misunderstood


This video explores the hypothesis that SaaS admins value expert backup support, especially when they lack expertise in diagnosing and resolving data emergencies.



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Our first hypothesis that I want to share with you is this.

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It was about the extent to which these SAS administrators,

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decision makers are or are not aware of the responsibilities to

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proactively protect the information that they're keeping in and

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on these SAS applications and platforms.

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We had some surprising and I have to say continuing to be

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disappointing results, the question that first asked is there in the screen,

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which party is ultimately responsible for backing up the information kept in

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your SAS apps?

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Respondents could pick one of the various options.

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52 percent of the respondents said, "Hey,

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it's not me, it's the SAS vendor.

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They're responsible for this."

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39 percent said, "Actually,

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responsibility sits here."

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9 percent said, "Hey, why are we even asking about this?"

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Because SAS data cannot be lost or corrupted and then there was 1 percent said.

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I'm not really sure and I don't know.

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Now, what's so disappointing about this is that actually for

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the vast majority of SAS applications,

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responsibility does actually sit with the end customer, with the user.

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So, SAS applications will have a shared responsibility model with

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a vendor says that they will invest a huge amount of time and energy to ensure

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that

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the application is available.

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It's 99.99 recurring percent uptime that the system,

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the infrastructure is protected.

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But they're clear that it's the customer's responsibility to take steps to

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protect

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the information that they're putting into the application,

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such that if there's a data loss or corruption event,

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it can be restored and recovered.

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The fact that so many people with backup and

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recovered responsibilities still don't really truly understand the extent of

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those

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responsibilities is alarming.

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We asked another question that followed on from this one and we were upfront

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with

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our respondents this time saying, "Hey, most SAS denters do make it clear that

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customers ultimately have responsibility for the protection of their

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information.

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How does that change your view?"

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And this time, actually, there was a shift in opinion.

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This is 40 percent said they are yet.

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Yeah, absolutely.

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Yes, we are aware that it sits with us in the further 37 percent.

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Yes, we kind of get that too.

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But that still means there is over 20 percent saying even despite this point

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about it being their responsibility,

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no, no, we're not entirely sure it sits with us.

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Andrea, I'd love your thoughts and commentary on the extent to which this lack

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of awareness of the shared responsibility model continues to persist in the

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world of SAS.

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Yeah, thank you, Graham.

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So I personally think that the confusion around who's responsible for what when

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we

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talk about data protection in SAS environment is much broader than just the

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backup recovery, right?

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It's the protection as a whole, as you mentioned earlier.

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But just to limit one second the attention to the backup and recovery,

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I think and I believe that there's still a lot of confusion between

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backup and recovery and this is the recovery.

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Just to be clear, backup and recovery focus on protecting and restoring data.

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Data can be lost, for example, because of an accidental human error.

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This is the recovery under the site,

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consider a broader scope that includes the restoration of the entire IT

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infrastructure and business operations after a major destruction that can be

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a natural disaster, for example.

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So disaster recovery includes backup and recovery, but it's just broader.

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So now if we just look at this definition, it's easy to think that because the

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SAS

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vendors are responsible of the infrastructural part,

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if something happens, it's not worth the thing that they will be in charge

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on fixing it.

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But let's try to analyze this a little bit further.

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If the vendor is able to restore from a natural disaster starting from the

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whole

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infrastructure, of course, they have the ability to restore the data.

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But the key question here is how fast?

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And here the ball goes to the business and company side of court,

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because the fundamental questions here are, what is the maximum acceptable

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downtime

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that we can accept, we as companies can accept, or our RT or recovery time

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objective?

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Or what is the maximum acceptable data loss that we can afford, or RPO,

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or recovery point objective?

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So when we think about backup and recovery, we are assuming that a

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infrastructure is up

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and running, nothing happened to it.

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So in that case, the RTO and RPO are usually measured in tens of hours or even

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minutes to ensure the minimal destruction to ongoing operations.

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In contrast, when we talk about disaster recovery, that involves longer RTO and

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RPO,

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because we need to think about recovering and restublishing the whole

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of the infrastructure and resuming the business operations.

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And that can even take days for some complex organizations.

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So going back to the original point, if we just rely on vendors because they

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have

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a disaster recovery in place, we cannot guarantee that the RTO and RPO,

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for backup and recovery, are within the limits that we consider acceptable for

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our business.

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And that not even contemplates what the SUS vendors are committed to deliver

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contractually, right?

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Because some of them offer backup recovery options, but some of them do not

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offer that contractually.

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And for those of the vendors that offer the backup recovery, the two questions

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are,

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is the vendor backing up the data with a frequency that satisfy my own RPO?

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And so recovery point objective.

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And do we have service level agreement in place to ensure that when we have to

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restore data that is done within my own RTO recovery time objectives?

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So just to sum it up, as you already mentioned, responsibility fall on each

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side,

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vendors and companies, and that can vary case by case, right?

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And because of that, it's important to perform a proper due diligence to make

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sure

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that nothing is misunderstood and actions can be taken quickly with no

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confusion

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when it's time to restore data that are critical for our business operations.

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