temporal
GORM
Our great sponsors
temporal | GORM | |
---|---|---|
16 | 74 | |
9,806 | 35,416 | |
5.3% | 1.5% | |
9.8 | 8.4 | |
7 days ago | 5 days 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.
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
GORM
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Go ORMs Compared
GORM is a comprehensive ORM tool in Go, offering a code-first approach which allows defining database schemas using struct tags in Go. It's known for its developer-friendly nature, making it suitable for both beginners and experienced users. GORM supports a variety of SQL databases like MySQL, PostgreSQL, and SQLite. It's designed to be flexible, allowing developers to drop down to raw SQL when necessary. However, it's important to be cautious about its performance implications in large-scale applications.
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6 🔥 Awesome Golang packages (web devs)
Homepage: https://gorm.io/
- Tenha controle sobre seu SQL com Golang e SQLC
- Não use funções puras com Go
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Build an Event-Driven Uptime Monitor in Go 🚀
Since most of these APIs will be simple CRUD (Create/Read/Update/Delete) endpoints, let's build this service using GORM, an ORM library that makes building CRUD endpoints really simple.
- [OpenSource] I am building high performance Plex alternative in Go for Movies and TV Show
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Building Robust Applications in Go: Integrating Envconfig, Gorm, and OpenSearch
After successfully configuring the application, it's time to delve into integrating the data layer. For this purpose, I will utilize gorm, a powerful SQL ORM that facilitates rapid development of the data layer using model structs.
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ORM or no ORM that is the question
For basic INSERT ... VALUES ... or SELECT ... WHERE ... JOIN ..., use a library such as GORM. For INSERT .... SELECT ... statements where one combines two round trips (SELECT and INSERT) into one, ORMs have a hard time performing this query. Particularly when you start doing joins. Joins are the heart of Relational database theory (they denote relationships). So get to know what an INNER, LEFT, RIGHT and OUTER join is and why you would use them. Also learn INSERT ... SELECT ...
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Why ORMs are so hated?
I have never hated gorm and it serves me well. However I tend to feed it raw SQL very often.
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Golang RESTAPI boilerplate repository
Array of values with embedded value all pointed to the last value, reflect code was broken: https://github.com/go-gorm/gorm/pull/5901 data corruption
What are some alternatives?
argo - Workflow Engine for Kubernetes
ent - An entity framework for Go
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.
Xorm
gocelery - Celery Distributed Task Queue in Go
SQLBoiler - Generate a Go ORM tailored to your database schema.
flyte - Scalable and flexible workflow orchestration platform that seamlessly unifies data, ML and analytics stacks.
go-pg - Golang ORM with focus on PostgreSQL features and performance
DurableTask - Durable Task Framework allows users to write long running persistent workflows in C# using the async/await capabilities.
pgx - PostgreSQL driver and toolkit for Go
Workflow Core - Lightweight workflow engine for .NET Standard
beego orm