DevToolsDigest: August 23rd, 2019
This week's digest includes news and resources from The Practical Dev, GraphQL Patterns, Moesif, First Round Review, TechCrunch, and more.

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The Week in Developer Tools
The GraphQL Transform library allows you to deploy AWS AppSync GraphQL APIs with features like NoSQL databases, authentication, elasticsearch engines, lambda function resolvers, relationships, authorization, and more using GraphQL schema directives.
In this article, Adi Chirilov presents a curated list with open-source JAMStack apps built using automation tools on top of some well-known designs provided by HTML5Up and Creative-Tim agencies. Using this simple workflow, he's able to skip over the manual work when starting a project using a new design requested by a customer.
Sean Grove of OneGraph joins GraphQL Patterns to talk about what he's working on and developer tooling in the GraphQL ecosystem.
Industry Research
In this post, Kristijan Ristovski (Kitze) shares lessons learned and mistakes made while turning an open-source project into profitable SaaS product, Sizzy. 
APIs are enabling entirely new business models such as API as a Product, developer platforms and ecosystems, and new partner opportunities. However if you want to out-innovate your competition and quickly grow your platform, you need the right data to make informed decisions.
For founders, achieving product/market fit is an obsession from day one. It’s both the hefty hurdle we’re racing to clear and the festering fear keeping us up at night, worried that we’ll never make it. But when it comes to understanding what product/market fit really is and how to get there, most of us quickly realize that there isn’t a battle-tested approach.
Developer Venture News
SignalFx, which emerged from stealth in 2015, provides real-time cloud monitoring solutions, predictive analytics and more. Upon close, Splunk argues, this acquisition will allow it to become a leader “in observability and APM for organizations at every stage of their cloud journey, from cloud-native apps to homegrown on-premises applications.”
The firm, best known for its work in monitoring and analytics services for developers and IT operation teams, listed a $100 million raise in its prospectus, a provisional number that will change when the company sets a price range for its equity. Datadog has more than 8,000 customers and estimates its market opportunity to be $35 billion, according to its S-1 filing.
From The Heavybit Library
Heavybit Welcomes New Member: Sanity
We’re happy to announce our newest member to the Heavybit portfolio,– a platform for structured content. Their open source editor lets developers create custom interfaces and content workflows while a hosted real-time API delivers it as a single source of truth to any channel, device or product.
Selling to developers is a challenge. They’re notoriously opinionated about the software they use. They often have a preference to build vs buy, and would willingly spend the time crafting a homegrown solution before purchasing one. So how do you create demand in a market that does not, at least initially, want to buy your product?
Heavybit hosted Kong CEO and co-founder Augusto “Aghi” Marietti and Kong investor and GGV Capital Managing Partner Glenn Solomon in a fireside chat about the business of open core. Aghi shared his experience on everything from making the transition to open source, to how he thinks about pricing, to how the team is organized. 
In episode 44 of JAMstack Radio, Brian is joined by Divya Sasidharan, a developer advocate at Netlify. They discuss Netlifys clever approach to improving developer experience, as well as the journey one makes when switching from React to Vue.
In episode 13 of EnterpriseReady, Grant speaks with Rahul Vohra, Founder & CEO of Superhuman. They discuss Rahuls fundraising history and strategies, his experience building problem-solving software, and his untraditional approach to bringing these solutions to market.
In episode 11 of O11ycast, Charity Majors and Liz Fong-Jones speak with Gremlin chaos engineer Ana Medina. They discuss the relevance of breaking things in order to engineer them more efficiently, monitoring vs observability, and chaos engineering at scale.