Great talk by @AshleyAitken about Rama at DDD Perth piped.video/watch?v=vI0S2hvG…

We just open-sourced Agent-o-rama, a library for building, tracing, evaluating, and monitoring stateful LLM agents in Java or Clojure! It closes the gap with Python tooling by expanding upon the ideas from LangGraph and LangSmith. Link in replies.

Released Rama 1.2.0 today. The new "multi source" feature enables modules to consume the same depot (distributed logs) multiple times, enabling existing materialized views to be recomputed or entirely new ones to be added based off of historical data. redplanetlabs.com/download

Excited to be at Clojure Conj this November! • Teaching a 2.5-hour Rama workshop • Giving a talk on our soon-to-be-announced domain-specific developer tool 2025.clojure-conj.org/

Great post from G+D Netcetera on how Rama transformed their business. This goes into more depth than the case study I wrote. Highlights: "I inherited a costly problem that plagues most modern backends: architectures built by stitching together dozens of independent components, creating waste and complexity in pursuit of scale... The traditional architecture design made this worse by performing expensive data denormalization at request time... Our team decided to try to flip the architecture by moving computation from request time to change time... Rama introduced a new approach to backend development that felt aligned with the needs of modern systems... This unified approach gave us a path to eliminate redundant infrastructure and dramatically simplify our entire system topology... Our team used Rama to build an incremental content denormalization engine, which is essentially a live, always-up-to-date materialized view of our entire content graph. This goes beyond streaming processing as it provides a persistent, queryable state that updates in real-time... The strongest resistance came from management, and their concerns were completely valid. They weren’t questioning the technical vision; they were questioning the specific execution risks... While I did not have definitive answers to every concern that was raised, I had conviction and a strategy to move us forward... We began to see the transformation gains unfold before our eyes, as content updates that previously took multiple minutes through our Varnish cache now propagated in under a second. System load that previously overwhelmed our infrastructure during traffic spikes simply disappeared... Everyone acknowledged the potential after seeing the progress made, but when it came time for final commitment, belief and accountability proved to be different things. Ultimately, it was my risk to own, which made the decision simple: we would fully commit... Having reached our deadline on-time and not exceeding our budget, I can happily report that the results exceeded expectations. Our denormalization engine now supports hundreds of thousands of page views across 15 web applications and 30 native apps, while cutting AWS costs and infrastructure complexity by more than half... I won’t sugar coat it, the learning curve is quite steep. Although mastering the implementation took a few months, our engineers became productive with Rama in just a few weeks with the gains coming in early and consistently. We did not just hit performance targets; we also built a foundation for a new class of solutions."

New post: "Make Worse Software, Slower" This is not satire. I argue for: – Rejecting functional programming – Using ORMs to perfectly hide impedance mismatches – Skipping event sourcing – Other proven best practices Link in replies.

Here's the video of my keynote "Simple ideas with huge impact from Clojure and Rama" from reClojure two weeks ago. The ideas only take a few seconds to express, but they will seriously challenge how you perceive programming. piped.video/watch?v=25lJNRib…

Released Rama 1.1.0 today. The big new feature is "instant depot migrations", which enables Rama's depots (distributed logs) to be instantly migrated with an arbitrary transformation function. Migrations can also excise records in a fine-grained way. redplanetlabs.com/download

You can book a free 45 minute call with us to pair program or discuss how to apply Rama to your use cases at this Calendly link calendly.com/red-planet-labs…

The "Next-level backends with Rama" blog post series contains detailed tutorials using Rama to solve problems which would otherwise require many different databases and computation strategies blog.redplanetlabs.com/next-…

Very excited to publish this case study! What Rama did for this product is incredible: "How G+D Netcetera used Rama to 100x the performance of a product used by millions of people" Link to the full post in the replies.

New post: "Next-level backends with Rama: fault-tolerant timed notifications in 25 LOC". This is a detailed tutorial showing how to manage future work in an application. Examples on this site are features like scheduled posts or poll expirations. blog.redplanetlabs.com/2025/…

Rama is uniquely able to build an entire backend at scale with diverse computation and storage needs. Some have misunderstood this to mean using Rama means you need to replace all existing infrastructure. That would be crazy. Just because Rama can build everything does not mean it has to be used for everything on day one. Rama easily integrates with any existing infrastructure. Some of our users rewrote their entire product on top of Rama, but others used Rama for building new features/applications that integrate with existing infrastructure as necessary.

New post: "Massively scalable collaborative text editor backend with Rama in 120 LOC" Link in replies.

Published "Next-level backends with Rama: storing and traversing graphs in 60 LOC". This is a detailed line by line tutorial on using Rama for both Clojure and Java. As with all Rama apps, the example in the post is scalable, fault-tolerant, and ACID compliant. Link in replies.

Also launched a major revamp for the @redplanetlabs website yesterday, with a lot more information on Rama and resources for learning redplanetlabs.com

Rama, the 100x developer platform, is now free for production use! You can download Rama from our website. The free version can run clusters up to two nodes, which is enough to comfortably run small/medium scale applications. Link to blog post with more info in replies.

It’s been a cool journey, thanks @nathan for all the support over the last year. You’ve built something very special with Rama. Love the name too.

With @nathanmarz's #Rama platform, you don't need a separate database, cache, queue or a data warehouse. It's kinda all built into Rama. It's a cohesive model incorporating all of these and some new capabilities that didn't exist before. #backend #distributed

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