Buf
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Driving the shift towards schema-driven development with Protobuf.
Joined August 2019
Going to #awsreinvent? Stop by our booth (#1952) for all sorts of goodies, including our extra large canvas tote bag for carrying all your re:Invent swag!
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Want to build APIs that evolve safely across teams and languages? Tomorrow our engineers are hosting a 1-hour workshop on getting started with Protobuf APIs. You’ll see why Protobuf is simpler than you might think & get battle-tested design patterns. https://t.co/Qskg6fXfHF
buf.build
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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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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
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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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”
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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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:
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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🚀 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
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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📅 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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🎉 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:
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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🚨 FREE O'Reilly book! "Data Engineering Design Patterns" — The definitive guide to building resilient data pipelines with proven, reusable patterns. Get your copy:
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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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 🚀
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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🚨 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:
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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