No such thing as exactly-once delivery
5 by todsacerdoti | 0 comments on Hacker News.
Monday, September 30, 2024
Sunday, September 29, 2024
Saturday, September 28, 2024
New top story on Hacker News: Show HN: Bringing multithreading to Python's async event loop
Show HN: Bringing multithreading to Python's async event loop
15 by nbsande | 2 comments on Hacker News.
This project explores the integration of multithreading into the asyncio event loop in Python. While this was initially built with enhancing CPU utilization for FastAPI servers in mind, the approach can be used with more general async programs too. If you’re interested in diving deeper into the details, I’ve written a blog post about it here: https://ift.tt/ITStjm8
15 by nbsande | 2 comments on Hacker News.
This project explores the integration of multithreading into the asyncio event loop in Python. While this was initially built with enhancing CPU utilization for FastAPI servers in mind, the approach can be used with more general async programs too. If you’re interested in diving deeper into the details, I’ve written a blog post about it here: https://ift.tt/ITStjm8
Friday, September 27, 2024
Thursday, September 26, 2024
Wednesday, September 25, 2024
Tuesday, September 24, 2024
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Sunday, September 22, 2024
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Friday, September 20, 2024
New top story on Hacker News: Show HN: EloqKV – Scalable distributed ACID key-value database with Redis API
Show HN: EloqKV – Scalable distributed ACID key-value database with Redis API
12 by hubertzhang | 19 comments on Hacker News.
We're thrilled to unveil EloqKV, a lightning-fast distributed key-value store with a Redis-compatible API. Built on a new database architecture called the Data Substrate, EloqKV brings significant innovations to database design. Here’s the unique features that makes it stand out: - Flexible Deployment: Run it as a single-node in-memory KV cache, a larger-than-memory database or scale to a highly available, distributed transactional database with ease. - High Performance: Achieves performance levels comparable to top in-memory databases like Redis and DragonflyDB, while significantly outperforming durable KV stores like KVRocks. - Full ACID Transactions: Ensures complete transactional integrity, even in distributed environments. - Independent Resource Scaling: Scale CPU, memory, storage, and logging resources independently to meet your needs. We’d love to hear your thoughts and feedback!
12 by hubertzhang | 19 comments on Hacker News.
We're thrilled to unveil EloqKV, a lightning-fast distributed key-value store with a Redis-compatible API. Built on a new database architecture called the Data Substrate, EloqKV brings significant innovations to database design. Here’s the unique features that makes it stand out: - Flexible Deployment: Run it as a single-node in-memory KV cache, a larger-than-memory database or scale to a highly available, distributed transactional database with ease. - High Performance: Achieves performance levels comparable to top in-memory databases like Redis and DragonflyDB, while significantly outperforming durable KV stores like KVRocks. - Full ACID Transactions: Ensures complete transactional integrity, even in distributed environments. - Independent Resource Scaling: Scale CPU, memory, storage, and logging resources independently to meet your needs. We’d love to hear your thoughts and feedback!
New top story on Hacker News: Show HN: Inngest 1.0 – Open-source durable workflows on every platform
Show HN: Inngest 1.0 – Open-source durable workflows on every platform
20 by tonyhb | 0 comments on Hacker News.
Hi HN! I’m Tony, one of the co-founders of Inngest ( https://inngest.com/ ) Inngest is an open-source durable workflow platform that works on any cloud. Durable workflows are stateful, long running step functions written in code, which automatically retry on failure. It abstracts everything about queues, event streams and state for you, letting you focus on code. Some examples of uses: managing stateful AI chained step functions; managing search/rag indexes and data pipelines; integrations and webhooks; billing and payment flows. Technical details: unlike other solutions, we put lots of effort into designing our SDK’s step.run APIs to make them extremely easy to use — developer experience is the most important thing for us. We had to design and build our own queueing system to work with multi-tenancy, batching, and debouncing, and we’re iterating on this as we move to FoundationDB. It’s largely all Go in the backend, with a bunch of caching, clickhouse, event streams, and coordination on our behalf. Workers are shared nothing, and run based off of the queue and execution state. We did a post last year as we iterated on our TS SDK. The product has changed a lot since then and wanted to show the community what’s changed as we reach 1.0: * Golang, Java, and Python SDKs with cross-language function invocation (across clouds, too) * Multi-tenant aware flow control (concurrency, throttling, debounce) * Batching, grouping many events into a single function call * Much improved dashboard, with tracing and metrics built in * Advanced recovery tools like function replay, temporary pausing, bulk cancellation (with optional expressions). No more dead letter queues! * Branch deploys built in, with staging env support out of the box * Full local testing with production parity There's a ton on the roadmap, with more launching next week. We’re hiring systems & infra engineers, too — it’s a fun job with lots of challenges! Wanted to say thank you to the HN community for feedback so far! Happy Friday :)
20 by tonyhb | 0 comments on Hacker News.
Hi HN! I’m Tony, one of the co-founders of Inngest ( https://inngest.com/ ) Inngest is an open-source durable workflow platform that works on any cloud. Durable workflows are stateful, long running step functions written in code, which automatically retry on failure. It abstracts everything about queues, event streams and state for you, letting you focus on code. Some examples of uses: managing stateful AI chained step functions; managing search/rag indexes and data pipelines; integrations and webhooks; billing and payment flows. Technical details: unlike other solutions, we put lots of effort into designing our SDK’s step.run APIs to make them extremely easy to use — developer experience is the most important thing for us. We had to design and build our own queueing system to work with multi-tenancy, batching, and debouncing, and we’re iterating on this as we move to FoundationDB. It’s largely all Go in the backend, with a bunch of caching, clickhouse, event streams, and coordination on our behalf. Workers are shared nothing, and run based off of the queue and execution state. We did a post last year as we iterated on our TS SDK. The product has changed a lot since then and wanted to show the community what’s changed as we reach 1.0: * Golang, Java, and Python SDKs with cross-language function invocation (across clouds, too) * Multi-tenant aware flow control (concurrency, throttling, debounce) * Batching, grouping many events into a single function call * Much improved dashboard, with tracing and metrics built in * Advanced recovery tools like function replay, temporary pausing, bulk cancellation (with optional expressions). No more dead letter queues! * Branch deploys built in, with staging env support out of the box * Full local testing with production parity There's a ton on the roadmap, with more launching next week. We’re hiring systems & infra engineers, too — it’s a fun job with lots of challenges! Wanted to say thank you to the HN community for feedback so far! Happy Friday :)
Thursday, September 19, 2024
Wednesday, September 18, 2024
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Monday, September 16, 2024
Sunday, September 15, 2024
New top story on Hacker News: Ask HN: Former gifted children with hard lives, how did you turn out?
Ask HN: Former gifted children with hard lives, how did you turn out?
60 by askHN2024 | 50 comments on Hacker News.
For various life reasons, I developed depression, and I am autistic and have ADHD (diagnosed, treated). I didn’t get treatment for my ADHD till after college. The point of this Ask HN isn’t to start a pity party, but I am just getting some data on how others like me are doing. I have an ACE score of 6. Currently, I look accomplished to people, but I don’t feel accomplished. My estimated networth is maybe 300K or more with home equity. My biggest concern with my quality of life is I don’t feel safe (don’t ask). So what’s your ACE score, and how satisfied are you with your life? ACE quiz: https://ift.tt/T0WwEoB...
60 by askHN2024 | 50 comments on Hacker News.
For various life reasons, I developed depression, and I am autistic and have ADHD (diagnosed, treated). I didn’t get treatment for my ADHD till after college. The point of this Ask HN isn’t to start a pity party, but I am just getting some data on how others like me are doing. I have an ACE score of 6. Currently, I look accomplished to people, but I don’t feel accomplished. My estimated networth is maybe 300K or more with home equity. My biggest concern with my quality of life is I don’t feel safe (don’t ask). So what’s your ACE score, and how satisfied are you with your life? ACE quiz: https://ift.tt/T0WwEoB...
Saturday, September 14, 2024
Friday, September 13, 2024
Thursday, September 12, 2024
Wednesday, September 11, 2024
Tuesday, September 10, 2024
Monday, September 9, 2024
New top story on Hacker News: Ask HN: How do you manage your prompts in ChatGPT?
Ask HN: How do you manage your prompts in ChatGPT?
20 by nabi_nafio | 12 comments on Hacker News.
I use ChatGPT regularly for a lot of different tasks. For example, coding, health Q&A, and summarizing docs. The different prompts stack up in the sidebar which becomes very difficult to manage. For example, I frequently have to refer back to a prompt that I wrote previously. But I usually give up looking for it because of the tedious scroll and search process. I was wondering if there is an easier way. How do you manage your prompts in ChatGPT?
20 by nabi_nafio | 12 comments on Hacker News.
I use ChatGPT regularly for a lot of different tasks. For example, coding, health Q&A, and summarizing docs. The different prompts stack up in the sidebar which becomes very difficult to manage. For example, I frequently have to refer back to a prompt that I wrote previously. But I usually give up looking for it because of the tedious scroll and search process. I was wondering if there is an easier way. How do you manage your prompts in ChatGPT?