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Spacelift – first all-in-one CI/CD for Infrastructure as Code

Hacker News

Spacelift – first all-in-one CI/CD for Infrastructure as Code

Hi HN! We are the team behind Spacelift (https://spacelift.io/). Spacelift is the CI/CD for infrastructure-as-code, be it Terraform, Pulumi, CloudFormation or Ansible (coming soon), and policy as code. It enables collaboration, automates manual work and compliance, and lets teams customize and automate their workflows. Here’s what you can do with Spacelift - Build sophisticated Git-based workflows - Use Open Policy Agent to declare rules around your infrastructure, access control, state changes, and more - Author and maintain reusable modules for your organization; we even have a full CI solution for modules to make sure they’re healthy - Declare who can log in (and under what circumstances) and what their level of access to each of the managed projects should be (SAML 2.0 SSO out of the box!) using login and access policies respectively - Use Spacelift’s trigger policies to create arbitrary workflows and dependencies spanning multiple infrastructure-as-code stacks - Manage stacks, contexts, modules, and policies in a declarative way using Terraform or Pulumi Before Spacelift, we built bespoke solutions (e.g., Geopoiesis, https://www.reddit.com/r/Terraform/comments/fu6pj1/geopoiesisio_anyone_knows_something_about_it/), currently used by two of the largest European scaleups. In the past few months, we’ve been onboarding our first customers and making sure everything works as expected. You can check out our starter repo at https://github.com/spacelift-io/terraform-starter. It's an easy way to learn all of Spacelift’s capabilities in 15 minutes without tapping into your own cloud resources. We’d love your thoughts on our approach and anything that has worked or hasn’t worked for you. P.S. We are hiring https://spacelift.io/careers.html P.P.S. We just announced our funding round https://techcrunch.com/2021/02/11/cloud-automation-startup-spacelift-raises-6m-series-a-led-by-blossom-capital/

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Product HuntOn track for Day 1 leaderboard · Strong signals: agent, context, using · Missing: mac, agents, macos
84%84% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
best fitHighest predicted score across all platforms for this description.
Indie HackersFits the IH revenue-focused audience · Missing: supports, reddit linkedin, podcasting
75%75% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
Hacker NewsStrong engagement from HN community · Strong signals: io · Missing: https docs, excited, just released
72%72% predicted probability of success on Hacker News, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
TrustMRRLess likely to generate early MRR · Strong signals: month, way · Missing: mobile apps, ios, personal
42%42% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
AppSumoMay struggle as an AppSumo deal · Strong signals: soon · Missing: plus, platform, intuitive
34%34% predicted probability of success on AppSumo, based on ML models trained on real launch data.
Acquire.comPre-revenue stage for this audience · Missing: arr, mrr, revenue
19%19% predicted probability of success on Acquire.com, based on ML models trained on real launch data.
BetaListMay not resonate with beta-testers · Missing: web3, chat, crypto
0%0% predicted probability of success on BetaList, based on ML models trained on real launch data.

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