Scaling Software Development Software Engineering 
Intercom, Inc.
JANUARY 12, 2021
This post is an adaptation of a talk I recently gave at the Amazon Web Services (AWS) community day event in Dublin about the technical strategies I’ve experienced that don’t work and the ones that have helped us to grow and scale at Intercom. Building for scale. The top ten technical strategies to avoid. Multi-cloud architectures.
Tom Tunguz
MAY 19, 2018
Other times, front-end engineers innovate at the application layer, which demand downstream changes in the infrastructure to scale. Infrastructure-as-a-service provided by Amazon, Google and Microsoft among others empowers applications to scale as users demand. Perhaps the advances in infrastructure should reduce software cost.
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Tom Tunguz
NOVEMBER 8, 2023
Data Teams are Becoming Software Teams : DevOps created a movement within software development that empowers developers to run the software they wrote. Most sophisticated data teams run like software engineering teams with product requirement documents, ticketing systems, & sprints.
Intercom, Inc.
FEBRUARY 26, 2018
I’m referring to the full spectrum of business execution, from product management to design to engineering to marketing to sales to support and all the other functions needed to scale a business. are making it easier and faster for software developers to develop complex software applications atop this infrastructure.
CloudGeometry
NOVEMBER 19, 2021
The quality of collaboration in software development is measured by a direct line of sight into the customer experience. DevOps is a given in today’s software engineering world. For the last mile of software development, productivity is measured in the delivery of results over time.
FastSpring
SEPTEMBER 16, 2021
In my conversations with software developers and technical founders over the years, I’ve heard how complicated these tech stack choices are to make. We know that conversion rates for SaaS and software companies will vary by 30% or more just based on the checkout experience. Will it scale with you? Is it the interface?
Tom Tunguz
JANUARY 21, 2025
After a decade of expanding complexity in the modern data stack, companies are dramatically simplifying their architectures - and getting better results Second, we’re seeing a renaissance of scale-up computing. Content: I use my MacBook Pro to run 70 billion parameter models, which are equivalent to GPT 3.5 I did this in 15 minutes.
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