CircleCI
Jenkins
Codeship
Travis CI
Bamboo
Bitrise
TeamCity
Buddy
AWS Batch
AWS Lambda
Fission.io
Nuclio
Google Cloud Run
APeX
Knative
Dataphin
CircleCI AWS BatchBased on our record, CircleCI should be more popular than AWS Batch. It has been mentiond 83 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
CircleCI is another popular and mature platform, with extensive support for plugins / reusable workflows in the form of "orbs". - Source: dev.to / 8 months ago
Everyone is free to use alternative CI/CD workflow pipelines. These are often better than Github Actions. There include - https://circleci.com/ - https://www.travis-ci.com/ - Gitlab Anyone can complain as much as they want, but unless they put the money where their mouth is, it's just noise. - Source: Hacker News / 8 months ago
CircleCI Account: You need an active CircleCI account connected to your GitHub repository where the application code resides. If you donโt have one, sign up at circleci.com. - Source: dev.to / about 1 year ago
In this guide, you will explore how to build a fully automated pipeline for processing and updating a vector database using AWS Lambda and CircleCI. The solution involves extracting text from PDFs, generating embeddings with OpenAI, and storing them in Zilliz Cloud, a managed vector database. You will also set up AWS infrastructure (S3, ECR, and Lambda) and implement a CI/CD pipeline with CircleCI to automate... - Source: dev.to / about 1 year ago
CircleCI: Still solid, but watch pricing and concurrency limits. - Source: dev.to / about 1 year ago
Long-running workloads โ A single Lambda invocation has a 15-minute maximum, and that applies to synchronous execution. For workloads that need to run longer โ heavy video encoding, large data migrations, overnight batch jobs โ you'd traditionally reach for something like Amazon ECS or AWS Batch. However, the new AWS Lambda durable functions feature changes the game by letting you build long-running asynchronous... - Source: dev.to / 3 months ago
Compute: This is the big one. It's the cost of running EC2 instances with GPUs (like the g5 or p4 series) for model training and deployment. It also includes the compute for services like Amazon SageMaker and AWS Batch. - Source: dev.to / about 1 year ago
After moving off Jenkins, I moved everything to AWS Batch with Fargate. This works quite well, but it is proving to be a little expensive, as I have to pay for:. Source: about 3 years ago
If you're looking for more control over your infrastructure and want to run a full computing environment, EC2 might be the right choice for you. With EC2, you have complete control over the operating system, network, and storage, which can be useful if you need to install custom software or use specific hardware configurations. Additionally, EC2 + Batch processing provide a wider range of instance types, including... Source: over 3 years ago
AWS Batch is the equivalent of a university cluster you submit to with slurm/sge/lsf/etc. But does not use those schedulers as AWS has their own. Source: over 3 years ago
Jenkins - Jenkins is an open-source continuous integration server with 300+ plugins to support all kinds of software development
AWS Lambda - Automatic, event-driven compute service
Codeship - Codeship is a fast and secure hosted Continuous Delivery platform that scales with your needs.
Fission.io - Fission.io is a serverless framework for Kubernetes that supports many concepts such as event triggers, parallel execution, and statelessness.
Travis CI - Simple, flexible, trustworthy CI/CD tools. Join hundreds of thousands who define tests and deployments in minutes, then scale up simply with parallel or multi-environment builds using Travis CIโs precision syntaxโall with the developer in mind.
Nuclio - Nuclio is an open source serverless platform.
