So it’s been a great ride and customers have been really excited by the results that we’ve shown. And maybe for Jason, same, if you just talk through the opportunity set that you’re seeing – obviously no one wants to be in a pandemic, but many companies have been highlighting the rise of new solutions that are being built on cloud and that’s a direct beneficiary for you, but how are you guys adapting to this new reality?I'll start and Tim can add something much more interesting. And so I think the one thing that I’ve seen or I’ve heard folks talk about is I think – and also as we move to the [pricing] model where we’re now allowing folks to be able to pay either on an instance basis versus a ingestion basis, that’s helped folks be able to predict their cost a lot better and then be able to do a true comparison on total cost of ownership, because the one thing that Splunk does allow is there’s much more automation and a lot less execution risk than if you’re going to slow Elastic [ph] or at least this is what I hear customers talk about. Doug and I were actually down in Australia towards the back half of last year and there was a major airline down in Australia that we were meeting with in – I forgot if it was a CIO, maybe could have been their CEO, I can’t remember now, it’s been so long. But I would say that the HQ impact where you’re now seeing people work from home that hadn’t work from home, that’s clearly where the changes occurred. An audio replay of the conference will be available after the call on the Nasdaq Investor Relations website or by dialing 855-859-2056 (U.S.) or 404-537-3406 (International); Conference … This is a topic happening for us and we continue to like the journey that they’re on. But the second transition that’s made this even more confusing is we actually moved from full upfront to annual ratable billing and we did that about a year ago. And so if you – and then by '23, we will now have a cash yield looking more like it has in the past. So if I had Amazon S3 buckets sitting in the cloud somewhere in the blob storage, I can still use Splunk to query that data. Contributor. And our target for this year was to be roughly 45%. It’d be actually to be quite honest challenging to service all of the sort of colors of that spectrum of capabilities that you would have to fulfill to be dominant in every single category of security. Pfizer Investor Conference Call At 11:30 AM ET . And the other thing is that they realize is that data lake is actually more of a platform because what you can do is take our application solutions and actually layer them on top of the data lake without a lot of work and immediately start to find value in security and IT use cases almost overnight.Jason, we haven’t forgotten about you maybe to talk about kind of the true north of that $1 billion cash flow number that you’ve highlighted. It can go to so many different directions. What we’ve been doing is sort of twofold along those lines. We came out at Q1 of 44% and that we guided Q2 to be in the high 40s, so it's really stepped up. How have you simplified again the pricing and consumption model to make it clear for a client to understand what they’re getting into?I’ll start with the high level math piece, then I’ll let Tim talk about what it actually – how we actually deploy that. Nasdaq Virtual 42nd Investor Conference. When I think of Redshift or Snowflake, I think more of the structured world of either sort of OLTP, OLAP sort of relational data systems a little bit more. So our perspective is actually I think the right one which is to think about how to continually to be the SIEM leader which is really that single painted glass that the security practitioner in the CISO organization uses to monitor their security posture in the enterprise.And then we want to be able to offer a product that sort of operates as the tip of the spear in that regard that can integrate all of these other players that have all these sort of more niche category fulfillments and plug them into our single painted glass. So anyways, I think it’s actually generally been good. Same use cases. And so what that’s meant is that our cash flow went from positive where – I think from '13 to '18, it had been operating in the 20% to 25% of revenue was operating cash flow was the cash yield on revenue. And as you migrate that application to run on that style of architecture, again as I mentioned the way you monitor it has to change and that’s where observability comes in.