Remove AWS Remove Management Remove Software Development
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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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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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Measurement: What SaaS platform builders need to know to prepare for growth, Part 3

CloudGeometry

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. Until your better-and-faster solution reaches those customers in production, that great idea that’s somewhere in the software development?

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How do you know DevOps is working?

CloudGeometry

Is collaborative software development enough? DevOps changed software development – whether cloud-native, cloud-hosted or “Oops! The quality of collaboration in software development is measured by a direct line of sight into the customer experience, but there’s more to it than feature agility.

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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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Beyond Frankencloud: living with your once and future SaaS architecture

CloudGeometry

Learning as a method to make the most of technical debt is a core value in the world of time-boxed development. It matters less whether time is allocated to manage technical debt within a single sprint, or a dedicated sprint in a release cycle. The key insight is that one attends to managing technical leverage continuously over time.

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

Clouded Judgement

If you don’t want to manage all of the infrastructure around Iceberg (plus allocating headcount to do this!) Typical data lake storage solutions include AWS S3, Azure Data Lake Storage (ADLS), Google Cloud Storage (GCS) or Hadoop Distributed File System (HDFS). Iceberg is one ingredient in the fully packaged Tabular lakehouse.

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