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@bufbuild

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Schema-driven development with Kafka and gRPC.

Joined August 2019
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@bufbuild
Buf
6 days
If you’re at #Current25 this week, stop by the Buf booth for… - The solution to streaming data’s data problem - Cool tarot card stickers - Free O’Reilly book Data Engineering Design Patterns - Chance to win Halloween Lego sets
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@bufbuild
Buf
13 days
Want to see how fast Protobuf parsing can really go? 🚀Buf engineer Miguel Young de la Sota breaks down hyperpb: a fully-dynamic Protobuf parser that's 10x faster than dynamicpb, the standard Go solution for dynamic Protobuf. Thursday 10/23 @ 10:25am PT at @P99CONF Register
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p99conf.io
P99 CONF is a cross-industry virtual event for engineers and by engineers, centered around low-latency, high-performance design.
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@bufbuild
Buf
14 days
For streaming data the gap between "hello world" tutorials and bulletproof production systems is filled with hard-learned lessons. Join Bartosz Konieczny and our own Scott Haines Oct 22 at 9am PT for Linux Foundation webinar “Streaming Data Design Patterns”
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linuxfoundation.org
Get insights from the best open source projects and people. View one of our upcoming or on-demand webinars on topics from Kubernetes to security.
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@bufbuild
Buf
1 month
Excited to co-sponsor the Apache Iceberg Bay Area Meetup, Oct 1! Our own Scott Haines joins a great lineup of speakers covering real-world production stories & tech deep dives. 📍San Fran 🗓️ Oct 1, 2025 Register:
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luma.com
🔹 Apache Iceberg™ Bay Area: Oct Edition 📍 Contemporary Jewish Museum, San Francisco 🗓️ October 1, 2025 | ⏰ Half-day, afternoon event 💥 Free to attend –…
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@bufbuild
Buf
2 months
🚀 Here’s a winning combo: Bufstream + @TigrisData = unlimited Kafka message retention with zero egress fees! Drop-in Kafka replacement that scales globally without breaking the bank. Check out this step-by-step guide to get started 👇 https://t.co/wnzZRBxs8b #Kafka
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buf.build
When you combine Bufstream and Tigris, you get unlimited Kafka message retention and truly global operation. Combining zero egress fees with typed streams means that your applications can scale...
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@bufbuild
Buf
2 months
📅 TODAY: Scott Haines (Buf) & Youssef Mrini explore #DeltaLake 4.0 at 12pm ET/9am PT ⏰ Learn about #DeltaConnect - read/write Delta Lake tables remotely from any #gRPC client + spark-connect on Buf! Sign up:
linkedin.com
Login to LinkedIn to keep in touch with people you know, share ideas, and build your career.
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@bufbuild
Buf
2 months
🎉 Protovalidate hits v1.0! It’s a big milestone for the Protobuf semantic validation library trusted by Microsoft, GitLab, Nike and thousands more to: ✅ Define validation rules only once ✅ Enforce everywhere (Go, Java, Python, C++, TypeScript) Details:
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buf.build
After two years of development, we're proud to announce that Protovalidate has reached v1.0. Protovalidate is the semantic validation library for Protobuf. Protobuf gives you the structure of your...
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@bufbuild
Buf
2 months
🚨 FREE O'Reilly book! "Data Engineering Design Patterns" — The definitive guide to building resilient data pipelines with proven, reusable patterns. Get your copy:
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buf.build
This hands-on guide from O’Reilly Media focuses on critical data engineering design patterns, including data ingestion, data quality, and idempotency.
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@bufbuild
Buf
2 months
LinkedIn gave us Kafka, but left 3 issues: Schema evolution, plug-and-play integration & governance. We solved all 3: ✅ Buf CLI breaking change detection ✅ Bufstream's broker-side schema awareness ✅ BSR team-wide governance Let’s finish what Kafka started 🚀
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buf.build
Stanislav Kozlovski's deep dive into the Kafka creation story appeared last weekend. It detailed how LinkedIn solved data problems with Kafka and also revealed three remaining challenges—schema...
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@bufbuild
Buf
2 months
🚨 With streaming data, any record flowing through your pipelines is a potential point of failure. When schemas drift or malformed data sneaks through, your downstream systems don't just slow down—they break. 🛠️ Here's the fix:
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buf.build
When you're working with mission-critical streaming data, any record flowing through your pipelines is a potential point of failure. When schemas drift or malformed data sneaks through, your downst...
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@bufbuild
Buf
3 months
Got Protobuf schema chaos across your projects? Join our engineering team for an online workshop on the Buf Schema Registry : - Dependency management - Schema distribution & discovery - Breaking change detection - SDK generation August 21:
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buf.build
Our interactive workshop is the best way to learn the ins and outs of our centralized registry for tracking and evolving Protobuf APIs.
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@bufbuild
Buf
3 months
If you’re working with Protobuf, we’ve got the online workshop for you! Our engineering team is hosting a 1-hour session that shows how to make depending on Protobuf schemas as easy as using go get, npm, mvn, or pip. Thurs Aug 21 9 AM PDT / 12 PM EDT / 5 PM BST
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buf.build
Our interactive workshop is the best way to learn the ins and outs of our centralized registry for tracking and evolving Protobuf APIs.
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@svpino
Santiago
4 months
Never trust the source of your data. I spent 2 months building a data pipeline to train a model. A single word broke it in 24 hours. A pipeline that doesn't validate the schema of the data will invariably fail and take your entire system down with it. I was building a churn
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@bufbuild
Buf
4 months
Announcing hyperpb, a fully-dynamic Protobuf parser that achieves 3x performance over generated Go code! Our hyperspeed dynamic parsing turns once-unscalable products into ordinary, even essential components of your stack. Check out our benchmarks! ⚡ https://t.co/g5oIl0NfnN
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buf.build
Today we’re announcing public availability of hyperpb, a fully-dynamic Protobuf parser that is 10x faster than dynamicpb, the standard Go solution for dynamic Protobuf. In fact, it’s so efficient...
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