Benthos
temporal
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Benthos | temporal | |
---|---|---|
76 | 16 | |
7,559 | 9,886 | |
4.5% | 5.3% | |
9.6 | 9.9 | |
8 days ago | about 11 hours ago | |
Go | Go | |
MIT License | MIT License |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
Benthos
- Ask HN: Who is hiring? (December 2023)
- Structured Logging with Slog
- Fancy stream processing made operationally mundane
- Benthos: Fancy stream processing made operationally mundane
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Any golang library to batch process a queue ?
I’ve used https://www.benthos.dev/ and it’s really easy and well implemented. The author is also very responsive
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Show HN: Arroyo – Write SQL on streaming data
Looks cool. What is the difference between this tools and benthos (https://www.benthos.dev/)?
- Benthos: Open-source stream processing tool
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book about golang and kafka
You might want to gradually replace that one with https://github.com/twmb/franz-go because Shopify is looking to find a new owner for Sarama and, until or if they do, it seems to be falling behind with maintenance: https://github.com/Shopify/sarama/issues/2461 For example, they still haven’t addressed this breaking change https://github.com/Shopify/sarama/issues/2358. franz-go has worked well so far in Benthos https://github.com/benthosdev/benthos/tree/main/internal/impl/kafka and it will likely end up as the only implementation once the Sarama-based one will be deprecated
- Show HN: Open-source Auth0 alternative Ory Kratos v0.13 released – nearing v1.0
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Go in depth youtube channels?
I upload a mix of code reviews and live streams on https://www.youtube.com/@Jeffail, mostly building https://www.benthos.dev out in the open so the content ranges from beginner friendly stuff to more advanced things like stream processing, parser combinators, etc.
temporal
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Rethinking Serverless with Flame
I don't know if I agree with the argument regarding durability vs elastic execution. If I can get both (with a nice API/DX) via something like Temporal (https://github.com/temporalio/temporal), what's the drawback here?
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Who's hiring developer advocates? (December 2023)
Link to GitHub -->
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temporal VS laravel-workflow - a user suggested alternative
2 projects | 23 Aug 2023
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Scaling Temporal: The Basics
However, as we mentioned, each shard needs management. Part of the management includes a cache of Workflow histories for that shard. We can see the History pods’ memory usage is rising quickly. If the pods run out of memory, Kubernetes will terminate and restart them (OOMKilled). This causes Temporal to rebalance the shards onto the remaining History pod(s), only to then rebalance again once the new History pod comes up. Each time you make a scaling change, be sure to check that all Temporal pods are still within their CPU and memory requests—pods frequently being restarted is very bad for performance! To fix this, we can bump the memory limits for the History containers. Currently, it is hard to estimate the amount of memory a History pod is going to use because the limits are not set per host, or even in MB, but rather as a number of cache entries to store. There is work to improve this: github.com/temporalio/temporal/issues/2941. For now, we’ll set the History memory limit to 8GB and keep an eye on them—we can always raise it later if we find the pod needs more.
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Temporal .NET – Deterministic Workflow Authoring in .NET
Correct, the workflow's guarantee to always complete executing independent of hardware failures is dependent on the database not losing data. You host your workflow code with Temporal's Worker library, which talks to an instance of the Temporal Server [1], which is an open-source set of services (hosted by you or by Temporal Cloud), backed by Cassandra, MySQL, or Postgres. [2] So for instance increasing Cassandra's replication factor increases your resilience to disk failure.
[1] https://github.com/temporalio/temporal
[2] https://docs.temporal.io/clusters#persistence
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Mandala: experiment data management as a built-in (Python) language feature
Re:graph frameworks - thanks for the pointers, hadn't heard about them! I'd heard of temporal which I believe provides a similar memoization capability with the purpose of not losing work in workflows that failed partway through?
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temporal VS javactrl-kafka - a user suggested alternative
2 projects | 2 Feb 2023
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Temporal PHP SDK: Scalable and resilent workflow orchestration on PHP
Documentation
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Developers and Distributed Systems and Dinosaurs, Oh MY!!!
Personally I am leveraging the knowledge and momentum of Replay to dive into the Python SDK, build out a couple of applications to deepen my knowledge around Workflows, Activities, and metrics, and continue inhaling knowledge via the monthly meetup, the application development guide, and documentation. By next year I’ll experience the conference, not as one new to Temporal, but as an expert—maybe even as one of the people helping with the architecture review or running a Birds of a Feather; if anything, I know I look forward to seeing YOU at next year’s event!
- Building financial integration with Cadence in doordash
What are some alternatives?
Confluent Kafka Golang Client - Confluent's Apache Kafka Golang client
argo - Workflow Engine for Kubernetes
appsmith - Platform to build admin panels, internal tools, and dashboards. Integrates with 25+ databases and any API.
cadence - Cadence is a distributed, scalable, durable, and highly available orchestration engine to execute asynchronous long-running business logic in a scalable and resilient way.
watermill - Building event-driven applications the easy way in Go.
gocelery - Celery Distributed Task Queue in Go
sarama - Sarama is a Go library for Apache Kafka. [Moved to: https://github.com/IBM/sarama]
flyte - Scalable and flexible workflow orchestration platform that seamlessly unifies data, ML and analytics stacks.
salsa - A generic framework for on-demand, incrementalized computation. Inspired by adapton, glimmer, and rustc's query system.
DurableTask - Durable Task Framework allows users to write long running persistent workflows in C# using the async/await capabilities.
azure-event-hubs-go - Golang client library for Azure Event Hubs https://azure.microsoft.com/services/event-hubs
Workflow Core - Lightweight workflow engine for .NET Standard