OpenMeter

We made our CI pipeline 5X faster (25 to 5 minutes) with Dagger and Depot. As the OpenMeter codebase grew in complexity, our build time became unbearably slow. This was a big deal as we had just grown our engineering team, and we didn't want to waste valuable developer time. To make it even worse, our GitHub Actions bill became one of our most significant SaaS spend. To end this pain in August, I put fast CI on our roadmap with an ambitious 7 minutes target; see the exact copy from our planning below: > Fast CI > Why: Slow CI jobs are burning us in multiple ways: > 1. Expensive developer time > 2. Risk of slow MTTR in case of hotfix > 3. Expensive GitHub Actions > What: Reduce CI time to under 7 minutes. Reduce CI cost. Honestly, 7 minutes was mostly made up; I felt from my previous experience that it would be a healthy build-time. I was pleasantly surprised when?Márk?picked up the task and returned with a 5-minute build time (5x improvement) for half the cost in 2 days. This was possible by leveraging Dagger Cache and Depot in our CI builds. (Fun fact: Depot was in the same YC W23 batch as OpenMeter.) If you are interested in how Mark improved our built time 5x, check out the blog post in the comment. It includes some excellent benchmarks comparing Depot and GitHub runners in cost and speed.

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?? Designing a product from zero to one: Our funding designer, András, is sharing his experience about joining OpenMeter as the first designer and how to succeed as a designer working for a startup. If you are a founder planning to hire their first designer or a designer planning to join a startup, this article is for you! Andras also shares his advice to be successful as a designer in the early days: ??Working with a startup team Every small team I've had the pleasure of working with has a unique constellation of strengths and weaknesses. Being sensitivity and open to understanding your specific team makeup, user base, customer, and business needs and then having the capacity to adapt your workflow and process to mesh with these dynamics will be critical to your success. - Understand your team’s shortcomings and superpowers. - Tailor your processes to your team - Share early, share often, share succinctly ??You don't have enough time. Be brutally tactical with where you invest your time. Startups must iterate quickly. The more iterations you can do, the more likely you will find Product Market Fit. - Always reaffirm that you are working on the highest-impact thing - Define the minimum viable experience that will help you validate the thesis - It is good to design North Stars and define aspiration and direction ??Your product is constantly changing. Especially before Product Market Fit. At this stage of the product lifecycle, your north-star metric should be some variation of learnings-per-hour. If you're doing things right, your product will constantly be evolving, changing, stretching, and quite often breaking the UX. - Embrace ambiguity - Accept that things will break - Only polish things that you have validated ????Borrowing saves time There are amazing, vast design teams out there that have already gone through and run a hundred experiments to validate that sharing dialog, registration flow, or settings menu. Just adopt it. There's no shame in it, and you de-risk and speed up a vast portion of your product experience. - Define clear distinctions - Look for analogous experiences - There is no shame in this game ? Good enough is good enough. Every minute you spend designing that registration form from scratch is time you’re not investing in solving your product’s unique challenges. - Identify key experiences, - Look for scalability - Think in iterative cycles — ??We plan to turn this into a mini-series to help founders and designers to navigate the early days. Please share your journey in the comments, and we will keep updating this article with your advice and quotes. ?? Follow the link to the whole article in the comments.

You start with a small, neat Go project. Suddenly you have multiple binaries, container images, and Helm charts, and things aren't that simple anymore. Your test pipelines become messier and messier, and soon development slows down. In this technical demo, Daggernaut Márk Sági-Kazár shows how he uses Dagger at OpenMeter to simplify CI workflows, utilizing the Dagger Go SDK for implementation and reusable base modules for building, testing, linting, and more. https://lnkd.in/g22GBmqN

We revamped the OpenMeter documentation using Fumadocs. It's an entirely new structure, separating OpenMeter Cloud and collectors. The cool part of this refresh is that because OpenMeter docs were always in Markdown (MDX), this change didn't require any rewrite or content modification. For folks into docs, the engine is Fumdocs, the main page is a custom page in Next.js, components like callouts are written in React, analytics is PostHog, the search engine is Algolia, and the whole thing is running on Vercel. A deep integration with our OpenAPI / Swagger is coming soon. Let us know in the comments if you want us to open-source our docs! Checkout the new docs here: https://openmeter.io/docs

?? Thank you for following OpenMeter's 2nd Launch Week! ?? Entitlements, balances, grants, usage limits, and more. See our highlights: ???? Day 1: Entitlements and feature access Managing different usage limits between free and premium plans? Need to restrict advanced features to enterprise customers? OpenMeter has got you covered! ? Assign features to customers with specific usage limits or static configurations. This enables you to implement complex pricing scenarios such as monthly quotas, prepaid billing, and per-customer pricing. ?? Day 2: Balances, Grants, and Rollovers You can grant your customers additional one-time or recurring usage, enabling complex pricing scenarios and managing customers who exceed their quotas. Grants also come with a ledger-style history, where you can follow how and why a customer's balance changes over time, providing transparency and accountability. ?Day 3: Low Latency Usage Limit Enforcement Our globally distributed data plane offers quick access to balance information from multiple regions and enables usage limit enforcement for online traffic. ?? Day 4: Free Plan OpenMeter Free Forever Plan is designed to help you get started without any upfront costs. No credit cards required! ?? Day 5: OpenTelemetry Log Collector OpenTelemetry is a widely adopted solution for capturing and exporting metrics, traces, and logs for cloud-native infrastructures. Today, we are excited to announce the launch of our?OpenTelemetry Log Collector, designed to simplify the extraction of usage information from your logs and forward them to OpenMeter, enabling powerful billing and cost management use cases. Checkout the announcements in the comments.

Day 5: OpenTelemetry Collector That's a wrap-up of our second launch week. Today, we are excited to announce the launch of our?OpenTelemetry Log Collector, designed to simplify the extraction of usage information from your logs and forward them to OpenMeter, enabling powerful billing and cost management use cases. In addition to our programming language-specific?SDKs, we offer high-level collectors for popular usage destinations such as Kubernetes, S3, and more. Our OpenTelemetry integration leverages non-sampled logs (e.g., access logs) as a valuable source of usage information. The growing adoption of OpenTelemetry for logging is driven by the OpenTelemetry Collector's support for various log sources and formats, making it a versatile replacement for many logging agents.

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OpenMeter Grants are here: https://lnkd.in/djV6Prvq

Márk Sági-Kazár has quickly become one of the most sophisticated Dagger users - leveraging Dagger to streamline OpenMeter's delivery pipelines, delivering one of the world's most unique and modern CI/CD processes. From eliminating the “push and pray” problem to ensuring zero onboarding friction, Dagger has been instrumental in helping OpenMeter deliver a whole new developer experience to their employees and contributors. Learn more about the benefits OpenMeter sees from their use of Dagger, and check out Mark's tips for how to get these same results for your pipelines https://lnkd.in/gTqBDeze