So it turns out that Google Chrome was making everything on my computer slow *even when it wasn’t running*, because it installs something called Keystone which is basically malware.

I made a website because this shouldn’t

~8yrs ago (Dec’12) I got a job @Google. Those were still early days of cloud. I joined GCP @<150M ARR & left @~4B (excld GSuite). Learned from some of the smartest ppl in tech. But we also got a LOT wrong that took yrs to fix. Much of it now public, but here’s my ring-side view👇

By 2008, Google had everything going for it w.r.t. Cloud and we should’ve been the market leaders, but we were either too early to market or too late. What did we do wrong? (1) bad timing (2) worse productization & (3) worst GTM.

We were 1st to “containers” (lxc) & container management (Borg) - since '03/04. But Docker took LXC, added cluster management, & launched 1st. Mesosphere launched DCOS. A lot of chairs were thrown around re: google losing this early battle, though K8 won the war, eventually 👏

We were 1st to “serverless” (AppEngine). GAE was our beachhead -- it was the biggest revenue source early on but the world wasn’t ready for serverless primitives. We also didn’t build auxiliary products fast enough. Clients that outgrew GAE wanted “building block” IaaS offerings.

1st to hadoop (map-reduce ‘04) but our hosted Hadoop launched in ‘15. AWS EMR was ~200M ARR by then. 1st to cloud storage (GFS ’03), but didn’t offer a filestore till ‘18! Customers were asking for it since 2014. Didn’t launch archival storage or direct interconnect till v. late.

Here’s a SPAC thread covering some basics for new followers. I will pin this to my profile if you want to share to anyone interested in SPACs.

SPAC timelines consist of these stages:
IPO – SPAC raises cash and begins trading as a unit. The cash is placed in Trust.
Searching phase – After IPO, the SPAC management team looks for a company to merge with. This is typically 24 months but can be shorter depending on the SPAC

LOI/Rumor – A letter of intent is announced publicly or Bloomberg/Reuters etc. breaks news of a rumor that a SPAC is close to a deal with a target.

The LOI/rumor stage does not always happen, most go straight to a definitive agreement. Rumors should only be considered to have value if from a trusted news source, internet rumblings are pure speculation. During this stage, a deal can still fall apart and not be signed.

Definitive agreement (DA) – deal officially inked. The SPAC begins filing paperwork with the SEC to have the merger approved to take the target company public. This process typically takes 4+ months after the DA is announced.

Incumbents almost always prevail with sustaining innovation

In disruptive circumstances, the entrants are likely to beat the incumbents

H/t Clayton Christensen, The Innovator’s Solution

(1) Since some people laugh at Cardano project and it's peer review aspect, let me share a story from work for all of you
(2) There is company called Databricks and they open sourced recently a technology called: https://t.co/gpZyKKiMVD . This technology is super important

(3) In BigData delta allows one to perform DELETE and MERGE operations contrary to Hadoop + Hive where this is not possible, seeking through many partitions finding customer data to remove and then rewriting it is not only expensive as an operation but also very dangerous

(4) This promising technology is something that many companies, which have big data turn into as they need to be GDPR compliant.
(5) I was always reading and accepting all details from their website as given and the "truth"

(6) There is however an amazing Principal Developer at our company that found some of the claims from their website as dubious, e.g. ACID claims on such a distributed file system
(7) It turns out this is not the first time this company advertises something that is simply not true

(8) on another occasion this company made untrue claims about Cassandra database and this then became source of disputes e.g by dr. @martinkl - my fave expert in distributed systems
(9) All professional developers also know of course famous Jepsen tests ->