It's interesting (and mildly embarrassing) how much I used to think this too. Holy fuckola, how wrong I was.

Don't get me wrong, our storage engine is the rock upon which everything rests.

As the market matures over the next few years, our strategy and differentiation will shift away from "only we deliver o11y" to exploiting all the unusual capabilities of our storage tier. 😈🐝
Subsecond ad hoc querying over weeks of webscale traffic.. unsampled? ✅

Drill down from high level SLOs to see all of the dimensions, diffed in order of their degree of outlieriness vs the baseline? ✅

The raw speed and flexibility unlocks soooooo many product daydreams.
But that's just good engineering. How to build a product that helps our customers achieve meaningful observability...that is a design problem.

Teaching people to lean into their curiosity and follow the signal? Design (and product) problem.
This time last year, we were hiring our first product leader, our very first design leader. We had ~9 people writing code.

We've been busy 🙃 we now have four in product, seven in design, and just doubled our engineering firepower. Every single one of them is ✨😍amazing 🔥🤩🐝
What I'm saying is, I'm not just yapping; we really are putting our chips down big on design this year.

We will succeed largely to the extent that our design, product and engineering teams are equal players of equal caliber who love the shit out of each other.
Speaking from within my own little domain of R&D, that is. 🙃 and as a product-led company, getting this right is huge. But not everything.

In some ways, for a company like us, getting the product right is the easy (😩!) part. When you're creating a category, GTM is FUCKING HARD
Our customer success team is going to bear the brunt of helping users navigate their observability journey while helping our product folks make it better, faster, easier.

Our sales team is the only one I know of in software that is 0% threatened by our generous free tier 🙃🌷
Our marketing team (and mighty devrel) have to span worlds effortlessly and invisibly; building the demand gen engine, building enduring partnerships, pushing the industry forward with OTel, educating and explaining. Oh, and positioning can be one of the hardest parts of product.
Did I mention how small but mighty our sales team is? It is hard to build a high performing sales org, but it's harder when so many of your prospects show up already acting like they hate you.

"Your sales folks are the only ones I'm ever genuinely happy to hear from" - a user 🌷
Fact: it is easier to hire world class biz folks when you don't casually demean them or their work.

If an engineering candidate exoticizes or dismisses sales or marketing, they get an auto thumbs down from me.
One of the (many) things I love about @lizthegrey is how easily she agreed to put devrel with product marketing. (This also put her multiple hops away from the C*O, a devastating blow at a hierarchical org).

I can say this shit all day, it's actions like these that make it real.
Each of these functions has to be individually stellar at executing and course-correcting, respect each other and resolve conflict productively, and they need a strategy that is mostly correct and under continuous alignment...

It's basically impossible. We're probably doomed. ☺️

More from Internet

We’ve spent the last ten months building #CitizenBrowser, a project that aims to peek inside the Black Box of social media algorithms, by building a nationwide panel to share data with us. Today, we are publishing our first story from the project. /1

.@corintxt crunched the numbers and found that after Facebook flipped the switch for political ads, partisan content elbowed out reputable news outlets in our panelists’ news feeds.
https://t.co/Z0kibSBeQZ /2

You can learn more in our methodology, where we describe how we did this and what steps we took to ensure that we preserved the panelists' privacy. https://t.co/UYbTXAjy5i /3

Personally, this project is the culmination of years of experiments trying to figure out how to collect data from social media platforms in a way that can lead to meaningful reporting. I’ve described a couple of highlights below 👇 /4

My first attempt was in 2016 at Propublica, when I was working with @JuliaAngwin . We were interested in seeing if there was a difference in the Ad interests FB disclosed to users in their settings and the interests they showed to marketers. /5

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Ivor Cummins has been wrong (or lying) almost entirely throughout this pandemic and got paid handsomly for it.

He has been wrong (or lying) so often that it will be nearly impossible for me to track every grift, lie, deceit, manipulation he has pulled. I will use...


... other sources who have been trying to shine on light on this grifter (as I have tried to do, time and again:


Example #1: "Still not seeing Sweden signal versus Denmark really"... There it was (Images attached).
19 to 80 is an over 300% difference.

Tweet: https://t.co/36FnYnsRT9


Example #2 - "Yes, I'm comparing the Noridcs / No, you cannot compare the Nordics."

I wonder why...

Tweets: https://t.co/XLfoX4rpck / https://t.co/vjE1ctLU5x


Example #3 - "I'm only looking at what makes the data fit in my favour" a.k.a moving the goalposts.

Tweets: https://t.co/vcDpTu3qyj / https://t.co/CA3N6hC2Lq