Responsive
@responsive.dev
An efficient way to ingest, analyze, and export telemetry data at a fraction of the cost.
We are happy to announce that we have completed another SOC2 Type 2 audit along with completing another successful penetration test against our cloud services.
You can find the latest reports on our trust center: trust.responsive.dev
You can find the latest reports on our trust center: trust.responsive.dev
Responsive Trust Center
Responsive is a stream processing solution that brings disaggregated state, autoscaling, observability and enterprise-grade support to Kafka Streams. Eliminate unpredictable lag and rebalance instabil...
trust.responsive.dev
February 14, 2025 at 7:31 PM
We are happy to announce that we have completed another SOC2 Type 2 audit along with completing another successful penetration test against our cloud services.
You can find the latest reports on our trust center: trust.responsive.dev
You can find the latest reports on our trust center: trust.responsive.dev
Reposted by Responsive
(3/3) Application upgrades were by far the #1 requested topic when we asked what the community would like to learn about earlier this year.
We hope you find this latest post in our Kafka Streams 101 series helpful!
www.responsive.dev/blog/topolog...
We hope you find this latest post in our Kafka Streams 101 series helpful!
www.responsive.dev/blog/topolog...
Kafka Streams 101: Topology Upgrades
A Kafka Streams 101 lesson to learn how to identify unsafe changes to a topology and the techniques to mitigate them
www.responsive.dev
February 13, 2025 at 5:46 PM
(3/3) Application upgrades were by far the #1 requested topic when we asked what the community would like to learn about earlier this year.
We hope you find this latest post in our Kafka Streams 101 series helpful!
www.responsive.dev/blog/topolog...
We hope you find this latest post in our Kafka Streams 101 series helpful!
www.responsive.dev/blog/topolog...
Reposted by Responsive
This will be the foundation for being able to branch @kafkastreams.bsky.social apps to support seamless blue/green deploys. It also allows you to branch a previous version of the state to debug an issue from the past.
Powerful stuff coming to the world of stream processing!
Powerful stuff coming to the world of stream processing!
SlateDB now has clones 🤯
Users can clone an existing DB's data to a new location. It's nearly instantaneous since it references the data from the old bucket rather than copying. Writes to the clone update the new location. Compaction lazily merges old data into the new directory./ht @responsive.dev
Users can clone an existing DB's data to a new location. It's nearly instantaneous since it references the data from the old bucket rather than copying. Writes to the clone update the new location. Compaction lazily merges old data into the new directory./ht @responsive.dev
Initial clone implementation by hachikuji · Pull Request #430 · slatedb/slatedb
Fixes #315. This patch contains the logic to create and initialize clones as outlined in RFC-0004.
github.com
February 3, 2025 at 7:06 PM
This will be the foundation for being able to branch @kafkastreams.bsky.social apps to support seamless blue/green deploys. It also allows you to branch a previous version of the state to debug an issue from the past.
Powerful stuff coming to the world of stream processing!
Powerful stuff coming to the world of stream processing!
Reposted by Responsive
Kafka Streams 101: Windows & Time!
🕰️ What's the difference between event, stream and wall clock time?
🪟 What are the four different types of windows?
⁉️ What are the important error messages and metrics, and what do they mean?
👉 Read the full lesson here: www.responsive.dev/blog/windows...
🕰️ What's the difference between event, stream and wall clock time?
🪟 What are the four different types of windows?
⁉️ What are the important error messages and metrics, and what do they mean?
👉 Read the full lesson here: www.responsive.dev/blog/windows...
January 28, 2025 at 4:55 PM
Kafka Streams 101: Windows & Time!
🕰️ What's the difference between event, stream and wall clock time?
🪟 What are the four different types of windows?
⁉️ What are the important error messages and metrics, and what do they mean?
👉 Read the full lesson here: www.responsive.dev/blog/windows...
🕰️ What's the difference between event, stream and wall clock time?
🪟 What are the four different types of windows?
⁉️ What are the important error messages and metrics, and what do they mean?
👉 Read the full lesson here: www.responsive.dev/blog/windows...
Reposted by Responsive
“These innovations collectively cement open source Kafka Streams as the best choice for building event driven applications, […]”
Is stream processing interesting because of the new apps it enables, or because it promises better data processing?
I'm in the first camp and am proud of the major contributions Responsive has made to the application space. My reflections on what's next: www.responsive.dev/blog/respons...
I'm in the first camp and am proud of the major contributions Responsive has made to the application space. My reflections on what's next: www.responsive.dev/blog/respons...
Founder's Letter: Responsive and the Future of Stream Processing
A recap of all that we've built in our first 18 months as a company, and what that means for the future of stream processing.
www.responsive.dev
December 4, 2024 at 7:07 PM
“These innovations collectively cement open source Kafka Streams as the best choice for building event driven applications, […]”
Reposted by Responsive
Is stream processing interesting because of the new apps it enables, or because it promises better data processing?
I'm in the first camp and am proud of the major contributions Responsive has made to the application space. My reflections on what's next: www.responsive.dev/blog/respons...
I'm in the first camp and am proud of the major contributions Responsive has made to the application space. My reflections on what's next: www.responsive.dev/blog/respons...
Founder's Letter: Responsive and the Future of Stream Processing
A recap of all that we've built in our first 18 months as a company, and what that means for the future of stream processing.
www.responsive.dev
December 3, 2024 at 6:46 PM
Is stream processing interesting because of the new apps it enables, or because it promises better data processing?
I'm in the first camp and am proud of the major contributions Responsive has made to the application space. My reflections on what's next: www.responsive.dev/blog/respons...
I'm in the first camp and am proud of the major contributions Responsive has made to the application space. My reflections on what's next: www.responsive.dev/blog/respons...
Reposted by Responsive
It's said that Silicon Valley is special because the density of smart and motivated people leads to chance encounters that don't happen elsewhere.
I can attest to that.
Here's how a coffee resulted in @responsive.dev building a database optimized for stream processing in 8 months. (1/n)
I can attest to that.
Here's how a coffee resulted in @responsive.dev building a database optimized for stream processing in 8 months. (1/n)
November 26, 2024 at 5:35 PM
It's said that Silicon Valley is special because the density of smart and motivated people leads to chance encounters that don't happen elsewhere.
I can attest to that.
Here's how a coffee resulted in @responsive.dev building a database optimized for stream processing in 8 months. (1/n)
I can attest to that.
Here's how a coffee resulted in @responsive.dev building a database optimized for stream processing in 8 months. (1/n)
Reposted by Responsive
Some problems are impossible to solve without stream processing: for instance, did you know that metronome.com leverages Kafka and Kafka Streams to deliver real time billing features like spend limits at scale? (1/3)
November 13, 2024 at 4:33 PM
Some problems are impossible to solve without stream processing: for instance, did you know that metronome.com leverages Kafka and Kafka Streams to deliver real time billing features like spend limits at scale? (1/3)
Reposted by Responsive
I am soon interviewing @apurvamehta.com from @responsive.dev and Yingjun Wu from @risingwave.bsky.social on all things stream processing.
This is going to be an amazing episode. Feel free to ask any questions related to Stream processing and I will add the most interesting ones. Shoot!
This is going to be an amazing episode. Feel free to ask any questions related to Stream processing and I will add the most interesting ones. Shoot!
November 3, 2024 at 5:57 PM
I am soon interviewing @apurvamehta.com from @responsive.dev and Yingjun Wu from @risingwave.bsky.social on all things stream processing.
This is going to be an amazing episode. Feel free to ask any questions related to Stream processing and I will add the most interesting ones. Shoot!
This is going to be an amazing episode. Feel free to ask any questions related to Stream processing and I will add the most interesting ones. Shoot!
Reposted by Responsive
Small feature drop, row-level TTL for Kafka Streams:
"The ttl function can use either the key or value, or both, to compute the ttl for that row and override the default ttl. It's also possible to .. only expire specific records."
docs.responsive.dev/reference/st...
"The ttl function can use either the key or value, or both, to compute the ttl for that row and override the default ttl. It's also possible to .. only expire specific records."
docs.responsive.dev/reference/st...
State Stores | Responsive Docs
This page introduces the different Kafka Streams State Store implementations available in Responsive and how to configure them.
docs.responsive.dev
October 31, 2024 at 11:25 PM
Small feature drop, row-level TTL for Kafka Streams:
"The ttl function can use either the key or value, or both, to compute the ttl for that row and override the default ttl. It's also possible to .. only expire specific records."
docs.responsive.dev/reference/st...
"The ttl function can use either the key or value, or both, to compute the ttl for that row and override the default ttl. It's also possible to .. only expire specific records."
docs.responsive.dev/reference/st...
Reposted by Responsive
Is it end of the road for RocksDB in stream processing?
Disaggregated state is the clearly superior architecture, with @responsive.dev investing heavily in SlateDB.io while Flink 2.0 has forked RocksDB.
Here's why we've bet on SlateDB for Kafka Streams: www.responsive.dev/blog/why-sla...
Disaggregated state is the clearly superior architecture, with @responsive.dev investing heavily in SlateDB.io while Flink 2.0 has forked RocksDB.
Here's why we've bet on SlateDB for Kafka Streams: www.responsive.dev/blog/why-sla...
If not RocksDB, then what? Why SlateDB is the right choice for Stream Processing.
Why we think SlateDB is the right foundation for a state storage service for Kafka Streams.
www.responsive.dev
October 29, 2024 at 4:51 PM
Is it end of the road for RocksDB in stream processing?
Disaggregated state is the clearly superior architecture, with @responsive.dev investing heavily in SlateDB.io while Flink 2.0 has forked RocksDB.
Here's why we've bet on SlateDB for Kafka Streams: www.responsive.dev/blog/why-sla...
Disaggregated state is the clearly superior architecture, with @responsive.dev investing heavily in SlateDB.io while Flink 2.0 has forked RocksDB.
Here's why we've bet on SlateDB for Kafka Streams: www.responsive.dev/blog/why-sla...
Reposted by Responsive
Great article. One additional point: if your app really needs low-latency and sophisticated responses to events, you need Kafka.
For instance, many use cases in logistics (eg. order fulfillment), fintech (trade settlement), security tech (anomaly detection) need to be event driven and need Kafka.
For instance, many use cases in logistics (eg. order fulfillment), fintech (trade settlement), security tech (anomaly detection) need to be event driven and need Kafka.
October 28, 2024 at 4:13 PM
Great article. One additional point: if your app really needs low-latency and sophisticated responses to events, you need Kafka.
For instance, many use cases in logistics (eg. order fulfillment), fintech (trade settlement), security tech (anomaly detection) need to be event driven and need Kafka.
For instance, many use cases in logistics (eg. order fulfillment), fintech (trade settlement), security tech (anomaly detection) need to be event driven and need Kafka.