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Agoda is a company that has resisted moving to the public cloud, and still operates their data centers.
How do they do it? What hardware do they buy? What are learnings? Exclusive details in today's free issue, having talked with Agoda's CTO @idanzalz:
Should you optimize for all-cash compensation, at companies where it is an option to do so?
Although it's very few places that offer this choice - Netflix and Shopify being two examples - here's my take on this topic:
In today's issue, we dive deep into how @agoda runs their private cloud data centers: the ones that serve ~7.5M QPS in database load at peak, store 20-30PB in data, and the largest DC consuming 1 MV power.
Full subscribers can read it here:
Several tech companies face a fresh problem after cutting jobs: their rating on Glassdoor nosedives. But there’s a way they manage to fix this. Here is what companies are doing - and why, together with a case study of cybersecurity company Trustwave:
In today's issue, @dballona covers a timely topic: reorgs. Running a reorg as an engineering leader, and how to make the most of a reorg, as someone caught up in the middle of this.
Full subscribers can read it here:
The creators behind the DORA and SPACE frameworks published a new developer productivity framework: The three dimensions of DevEx.
Why a new framework? What is the thinking behind it? An interview with @abinoda, @margaretstorey, @nicolefv & @mgreiler:
Datadog uses 3 cloud providers: AWS (2 regions), GCP (2) and Azure (1). This diversification should make the observability provider resilient to outages.
And yet, Datadog went down, globally, for more than 24 hours. The details on what happened & why:
Datadog uses 3 clod providers: AWS (2 regions), GCP (2) and Azure (1). This diversification should make the observability provider resilient to outages.
And yet, Datadog went down, globally, for more than 24 hours.
The details on what happened & why:
Which publicly traded companies pay the most, in median compensation? In this week's free issue, we cover details on 50 publicly traded tech companies. Read it here:
And the full issue:
In today's issue, @vboykis presents a deepdive on what machine learning is, and how it relates to software engineering (and AI!)
Full subscribers can read it here:
What is the productivity impact of AI coding tools? We asked software engineers, and based on more than 170 responses, the consensus is that it's significant.
Full subscribers can read more in this week's article:
How is startup funding trending, and how do Angel, Seed, Series A, B, C, D, and E+ rounds compare?
In this week's free The Scoop issue, we looked at the data to get a sense of trends. Read it here:
. @Steve_Yegge has been in the industry for more than 30 years; you might have read a few rants of his. I
In today's free issue, he talked through his career and learnings, and threw in a few stories that hadn’t been previously shared.
Read it here:
The latest The Scoop is out, covering:
Read "5. Behind the scenes with two new salary transparency websites" in this free issue:
Full subscribers can read the complete issue here:
In today's issue, we go deep into the engineering culture at @figma: from the evolution of the engineering team, all the way to how they work today, and their biggest engineering challenges.
Subscribers can read it here:
Is Lyft in trouble? It looks like it. In this week's The Scoop, we analyze the situation:
The full issue additionally covers the topics below. Read it here:
The latest issue is out, covering the differences in "wartime" and "peacetime at tech companies, and ways to thrive in both.
Full subscribers can read it here:
Today's free The Scoop covers whether we are seeing a drop in software job engineer job openings, globally. We use Hacker News and Indeed data to answer this question.
Spoiler: yes, but... what is happening in Japan?
Read it here:
In today's issue, we go deep into the engineering culture at @sourcegraph.
The beauty? So much of it is already in the open, via their Handbook!
This issue goes into things as well that are not (yet?) documented there:
What happened at Silicon Valley Bank - the largest startup bank, which collapsed pretty much overnight? And how will this impact the tech industry?
Read today's free post for the overview of the events and next steps for startups: