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Search at Intercom: Building our Elasticsearch cloud on AWS

Intercom, Inc.

Our product engineers are empowered to build great features, fast. For this reason, we chose to run exclusively on AWS and wherever possible, we make use of battle-tested AWS services, be it RDS Aurora for our relational databases, the Simple Queue Service (SQS) for our async workers or ElastiCache for our caching layer.

AWS 249
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How Generative AI Will Turn Traditional SaaS Models On Their Head with AWS VP of Generative Builders Adam Seligman

SaaStr

Within the next 12 months, Adam Seligman, VP of Generative Builders at AWS, believes there will be an inversion of SaaS. Not a lot of vets do data modeling, so it translates part of the product management function for developers to be able to pick it up and work with it. What does that mean? What’s the data model?

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How Shopify Implements AI Across Sales and Product with Mike Tamir, Head of AI at Shopify, and Rudina Seseri, Managing Partner at Glasswing Ventures

SaaStr

At SaaStr AI Day , Mike Tamir, Head of AI at Shopify, and Rudina Seseri, founder and Managing Partner at Glasswing Ventures, level-set about where we are in the cycle for Enterprises adopting AI and the critical work being done at Shopify to leverage AI and solve real problems. In the last several years, there has been a shortage of GPUs.

AI Search 207
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Session Registration Open for SaaStr Build 2022: Sign Up to Hear HubSpot’s GM, Amplitude’s CEO, AWS’ Head of Customer Success and CircleCI’s CEO

SaaStr

Building a team of rockstar product managers and leaders is hard, but even harder is to scale the team by hiring and growing senior talent in global locations while maintaining a culture of innovation, impact, and integrity. Why Customer Success and Product Should be Best Friends. And how about our product teams?

AWS 224
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Is your engineering team experiencing alert fatigue? Ask these 8 questions

Intercom, Inc.

Alert fatigue is a common problem among engineering teams that handle operations and maintain infrastructure. The result is lots of semi-meaningful alerts, noise, context-switching, and multitasking for the on-call engineer. Are the steps clear enough to be followed by any engineer on the team? Is the alert still relevant?

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Moving ChartMogul to AWS and Kubernetes

Chart Mogul

A few months ago, we retired our last pieces of infrastructure on DigitalOcean, marking our migration to AWS as complete. Our journey was not your regular AWS migration as it involved moving our infrastructure from classic VMs to containers orchestrated by Kubernetes. Lack of modern cloud features and managed services.

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Building a Data Engineering Stack That Boosts Scalability

Chart Mogul

In 2021, ChartMogul experienced a transformative shift in data strategy when we introduced a dedicated data engineering team. Updating the data engineering stack streamlined data processing; reducing the time and effort invested in manual data handling.