Remove AWS Remove Engineering Remove Metrics
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A Founder’s Guide to Building and Scaling Marketing Channels: Lessons from Datadog’s CMO and First Marketing Hire

SaaStr

Prior to Datadog, Alex held leadership positions at several high-growth SaaS companies and has a proven track record of building marketing engines that deliver consistent, measurable growth. At Datadog, their first focus was sponsored trade shows – specifically targeting the AWS ecosystem.

Scale 236
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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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Clouded Judgement - 3.28.25 - The New AI Risk Curve

Clouded Judgement

Fast forward to the launch of AWS and the public cloud. Now, you still had to go out and hire engineers to build the product, build out the GTM team to build brand and distribution, etc. And now, engineering and distribution (go-to-market) constraints are greatly reduced with AI. So why try and compete now?

Cloud 299
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The Complete Guide to SaaS Pricing Strategy

Tom Tunguz

AWS, Twilio, Heroku, etc. The Hidden Costs of UBP While UBP offers many advantages, it does come with tradeoffs: Complicates churn measurement : If a customer uses your product intermittently (every third month, for example), standard monthly churn calculations will show the account churning and reactivating, skewing your metrics.

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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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How our infrastructure scales alongside our customers

Intercom, Inc.

This allows us to develop teams of deep domain experts to support and enable product engineers as they build the next generation of Intercom, and provide world class observability tooling, scaling, reliability, and secure-by-default build patterns. . Our tooling allows for high availability.

Scaling 252
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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

Culture Structure You want a culture of checking results and having metrics to evaluate those results from the LLM or a more traditional model. You want a culture that focuses on your metrics and evaluating what’s important to you. Whatever the metric is, you have to translate that into a concrete metric.

AI Search 287