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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. At Intercom, we’ve found success running Lambda as glue code between AWS services.

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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. The Pendulum Swings to Small Data : Modern Mac laptops have the same computational power as the AWS servers Snowflake used to launch the company.

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Measurement: What SaaS platform builders need to know to prepare for growth, Part 3

CloudGeometry

In this blog series, we explore how these three dimensions figure into key technical recommendations which enable scale in pursuit of SaaS business growth. Part 3: Measurement One of the great breakthroughs of SaaS as a business strategy is in how it puts users and subscribers front and center of software development and keeps them there.

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Run Less Software

Intercom, Inc.

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.

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The SaaS Balancing Act: Always Be Modernizing

CloudGeometry

The Race Toward Feature Agility The answer to remaining competitive lies in accelerating the journey from traditional forms of software development toward feature agility – finding what your customers value and figuring out how to get it into your development process faster. Optimize cloud economics and drive Business Goals.

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Tabular: Turning Your Data Swamp into a Data Lakehouse with Apache Iceberg

Clouded Judgement

If you want features in your lakehouse (on top of open source Iceberg) for ingestion, CDC, streaming (file loading, Kafka connect, etc), schema evolution, compaction, optimization, time travel, snapshots, auto-scaling, maintenance (no more writing spark jobs to delete snapshots!), A natural question is “why do we have two tiers?

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In the Vault: Turning Developers Into Clients With Marco Argenti From Goldman Sachs

Andreessen Horowitz

I started just with regular software development, doing software of different kinds. And so when Amazon called me and they’re like, “Hey you want to come with us and do you want to actually start the mobile services, backend business within AWS?” And then I started selling.