Remove Scale Remove Software Development Remove Software Engineering
article thumbnail

10 technical strategies to avoid when scaling your startup (and 5 to embrace)

Intercom, Inc.

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.

article thumbnail

Top 10 Trends for Data in 2024

Tom Tunguz

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.

Insiders

Sign Up for our Newsletter

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

article thumbnail

Run Less Software

Intercom, Inc.

When I say “execute”, I don’t simply mean the engineering challenges of building something. 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. They are called product engineers.

article thumbnail

Pursuing DevOps Momentum: Measuring what matters

CloudGeometry

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. Cultural alignment within an engineering organization is necessary, but not sufficient. Read more about this in my prior post.

article thumbnail

SaaS Payment Processing: 10 Questions to Ask When Comparing Solutions

FastSpring

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?

article thumbnail

Top Themes in Data Transcript

Tom Tunguz

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.

Data 100
article thumbnail

The ZeroOps journey: Mind The Gap

CloudGeometry

Why can’t we escape hands-on cloud operations work to unlock software development nirvana (aka frictionless, faster development and deployment processes)? An environment where there’s virtually no hands-on operations work can deliver a faster, more frictionless development and deployment experience. The ideal result?