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Can you link any resources? SRE post-mortem analysis by Google is a resource I have found to conduct a blameless post-incident review.

Github is a globally used site and US law takes precedence over all else. We need to decentralise the web.

Access to capital is the underestimated aspect of the entire scenario.

Sheer amount of money available and accessible to you once you are rich is tremendous. From stimulus funds from US Fed to parent's trust fund.

I find clickhouse with proper time-series encoding and tiered data storage to be a better alternative than timescale. There were also some issues with ingestion speed with a timescaleDB.

Can we think of timescale as OLTP for timeseries data with gurrantees from postgres and clickhouse as OLAP for timeseries data?

Continuous Aggregates is a neat feature though.

Atlassian founders are the wrong place to look for tech and VC mentorship.

Every company here has a values round copying them and doing things that atlassian does.

I believe tech and VC ecosystem will improve once they become bigger. There are companies like okzellar, shippit which do not have that atlassian bias.

Yes this is it. American taxpayer money went to americans mostly and some of its allies. 6.4T just did not go to poor communities of color.

Exactly. How do these caches behave when python is used as a webservice in a multi-process multi-thread setting.

What if we have multiple containers running the same service and load balanced using an ingress controller?

Local Caches are a headache in such a scenario.

Best pattern I have read is use a cache as a sidecar in a pod. I feel that scales very well.

I really like the architectural decisions made in the project. OperationalTransform library may need some work like testcases and add more powerful constructs. Is there any theory behind it? Maybe add a link to it.

I believe this project can become a popular opensource project. It is really fast.

This is india specific, I chase startups which are best bet at implementing govt policy or is it a problem that I am facing.

1. One was recruiting phase as median age of India is low and adds overwhelming number of new workers every day. Google uses it. 2. Second one was a fintech during digital india phase. 3. SAAS with global sales and high scale (rpm)

All three were hard and very fullfilling. I made a lot of money with fintech one and learned a lot on engineering at scale with third one.

In the first one, I made lifelong friends and got to meet important people, attended VC talks and part of decisions like hiring PM as new grad, VC was very involved with CEO about it. Something my salary could not quantify.

If I were to do it again, do it well with patience rather than arrogance and anger against founders.