sweaver

Hi HN,

I’m Sam, co-founder of Plural (https://plural.sh/). Today we’re launching the next generation of our platform—an AI-powered experience for DevOps.

Our view is simple: what Cursor has done for software development, Plural is doing for DevOps.

DevOps teams are overwhelmed by:

- Kubernetes upgrades that break downstream workloads - Endless YAML diffs and drift - Reactive firefighting when incidents hit

Plural’s new release integrates AI directly into GitOps workflows, so platform teams can move faster and more safely:

- Autonomous upgrade assistant → orchestrates complex Kubernetes upgrades with guardrails

- AI-powered troubleshooting and Fix → leverage the resource graph from our GitOps engine to provide deep RAG into devops data, generating well-informed root cause analysis, and fixes PRs for a broad set of kubernetes and IaC issues

- Query Your Infrastructure with Natural Language - we will vectorize and index your devops information as they’re instantiated, giving a clean semantic understand of your entire estate which is useful for ad-hoc search and discovery and agentic workflows

- DevOps agents tuned to terraform and kubernetes - use all the information above to provide agentic workflows for modifying infrastructure managed via GitOps. Ask Plural to “double the size of my production database” and the combination of our semantic index and ability to do deep RAG against your infra and code will guide the AI to make the necessary change and issue a PR for you to review.

The future of DevOps isn’t more dashboards or more YAML. It’s AI-augmented workflows that multiply team productivity while keeping humans in the loop for control. GitOps is the ideal surface for that since it is fully auditable, easily composable with proven and rapidly improving capabilities around LLM coding, and provides a clean review-approval loop to ensure changes are performed safely.

We’d love feedback from the HN community on:

1. Where you’d want AI to take the toil out of your DevOps workflows

2. What would give you trust in AI systems operating in production

3. The biggest blockers you face managing Kubernetes at scale

Full launch post here with more technical details: https://www.plural.sh/blog/plural-now-with-ai-that-understan...

Excited to share this with you all — happy to dive deep on any part of the system.

— Sam, CEO/co-founder of Plural

Hi HN!

Sam and Michael here. We are building an open-source management platform that deploys and operates any open source infra software on kubernetes in a production-ready way: https://www.plural.sh

I’ve been in open source for over a decade. I spent 4 years at Red Hat before spending the next 6 years building products at MongoDB. Most recently I was the Head of Product at Unqork where we saw how difficult it was to create a deployment for our app stack and its related services.

Michael has spent his career at Vine, Amazon, Frame.io and Facebook where he has built and scaled systems using open source solutions for millions of users.

We met each other in early 2021 and got excited to tackle this problem together: making multi-cloud open source infrastructure zero effort to install and manage.

We’ve interviewed over 60 development and devops teams and learned that existing solutions always fell short. Either they were too complex to build or too costly to manage. In particular we heard many times that data infrastructure was a complete bear to stand up and integrate. We wanted to build a platform that would supercharge devops team’s capabilities and we wanted to give users the ability to do this all in their own cloud: aws, azure, gcp or bare metal.

It was important for us to work with the open source vendors. By making it trivial for users to get going with open source software, we can bring great solutions directly from vendors to the platform, and most importantly, compensate the vendors for their work.

Here’s a short demo video if you want to check out how it works when installing something operationally complex like Airflow: https://www.plural.sh/video-plural-product-demo

Plural can run on AWS, Azure, GCP and in alpha on Equinix (bare) metal, deploying applications in Kubernetes, with logging and monitoring (prometheus/grafana) enabled out of the box. We have built full dashboarding and run books for managing and scaling your cluster and a simple install interface for quickly getting going with apps like Airflow, Kubeflow, Airbyte etc.

Today our catalog has over 30 apps ready to solve the most interesting use cases from AI/ML & data infrastructure to observability to caching. We hope our community will help us add more solutions to our catalog and we will focus on building our open source product. We will eventually create a paid edition (open core model) with enterprise-level features to address the needs of our most demanding users.

Try it out: https://github.com/pluralsh/plural & app.plural.sh/ and let us know what you think!