osbuild-composer
amazon-sqs-java-messaging-lib
osbuild-composer | amazon-sqs-java-messaging-lib | |
---|---|---|
4 | 29 | |
150 | 0 | |
0.7% | - | |
9.8 | 10.0 | |
6 days ago | over 2 years ago | |
Go | ||
Apache License 2.0 | Apache License 2.0 |
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osbuild-composer
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Best way to schedule events and handle them in the future?
Postgres can handle this well if you use pub/sub notification which is built-in. You can easily pick up jobs using a time-based where clause and it also scales well. There is no need to pull a complex library for this, here is a good example of such implementation.
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Build a golden image for your RHEL homelab with Image Builder
I read through the following and I just wasn't sure if I wanted to spend time figuring out if it would work. https://github.com/osbuild/osbuild/issues/644 https://github.com/osbuild/osbuild-composer/issues/1411
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Image Builder account passwords
The change to hash by default just landed upstream: https://github.com/osbuild/osbuild-composer/pull/2834
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Image Builder broken after updating to CentOS 8.3
Based on this upstream issue and this draft pull request, osbuild-composer just doesn't support CentOS yet. To help indicate demand for this feature to the maintainers of that software, I suggest reproducing the error on CentOS Stream 8 and filing a bug as described here. Once the feature is implemented it will be available in CentOS Stream 8 first.
amazon-sqs-java-messaging-lib
- PubNubとIFTTTによるSMS通知システム
- PubNub 및 IFTTT를 사용한 SMS 알림 시스템
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SMS Notification System with PubNub and IFTTT
Save to SQS (i.e. save each Event to Amazon’s SQS queuing service)
- System powiadomień SMS z PubNub i IFTTT
- SMS-Benachrichtigungssystem mit PubNub und IFTTT
- Système de notification par SMS avec PubNub et IFTTT
- Wie man Ereignisse von PubNub zu RabbitMQ streamt
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Starting My AWS Certification Journey as a Certified Cloud Practitioner
Amazon SQS
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A Developer's Journal: Simplifying the Twelve-Factor App
Messaging/Queueing Systems (Amazon SQS, RabbitMQ, Beanstalkd)
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Building Mature Content Detection for Mod Tools
The last stage is productionizing the model. The goal of this phase is to create a system to process each image/video, gather the relevant features and inputs to the models, integrate the models into a hosting service, and relay the corresponding model predictions to downstream consumers like the MCF system. We used an existing Safety service, Content Classification Service, to implement the aforementioned system and added two specialized queues for our processing and various service integrations. To use the model for online, synchronous inference, we added it to Gazette, Reddit’s internal ML inference service. Once all the components were up and running, our final step was to run A/B tests on Reddit to understand the live impact on areas like user engagement before finalizing the entire detection system.
What are some alternatives?
osbuild - Build-Pipelines for Operating System Artifacts
90DaysOfDevOps - This repository started out as a learning in public project for myself and has now become a structured learning map for many in the community. We have 3 years under our belt covering all things DevOps, including Principles, Processes, Tooling and Use Cases surrounding this vast topic.
zfs - OpenZFS on Linux and FreeBSD
RabbitMQ - Open source RabbitMQ: core server and tier 1 (built-in) plugins
delayq - DelayQ is a Go library that provides a performant, reliable, distributed delay-queue using Redis.
aws-stable-diffusion - How to run Stable Diffusion Automatic1111 WebUI on AWS EC2 instance
sqs-consumer - Build Amazon Simple Queue Service (SQS) based applications without the boilerplate
ApacheKafka - A curated re-sources list for awesome Apache Kafka
amazon-sns-java-extended-client-lib - This AWS SNS client library allows to publish messages to SNS that exceed the 256 KB message size limit.
aws-lambda-java-libs - Official mirror for interface definitions and helper classes for Java code running on the AWS Lambda platform.
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.
background-process-using-sqs