Astronomer
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Apache Airflow
Dagster
n8n.io
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Make.com
Segment
CloudForecast
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VisualStack.cloud
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A Secure Cloud
We're building an alternative cloud budget management software at 1/10th of the price. You work hard for your margins. There's no reason that you should give up 4-8% of your server costs and yearly contracts to a company that only provides budget planning and forecasting. In addition, you are also probably only using 20% of the feature suites with other tools.
CloudForecast's simple daily AWS cost report provides reassurance that things look normal and notifies teams of any anomalies with AWS spend. The report helps engineering teams and financial stakeholders improve AWS cost awareness for time and cost savings.
We provide multiple channels to deliver our cost reports to your team: email, Slack, PagerDuty or Opsgenie. Encourage collaboration and discussion around your AWS cost with various stakeholders in your organization.
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Based on our record, Astronomer seems to be more popular. It has been mentiond 4 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.
A quick tip for airflow if you don't have a local install (and I heartily recommend a local install - astronomer.io has an easy to set up container). Source: over 1 year ago
Julian LaNeve is an engineer and data scientist who currently works at Astronomer.io as a Product Manager. In his free time, he enjoys playing poker, chess and winning data science competitions. - Source: dev.to / over 1 year ago
Then load up docker, don't need to be a docker expert, just install docker desktop on windows or use linux. Go to astronomer.io and look at how to run airflow (cron++) in docker. Get that working. If you don't know python but do program in some language, you should be able to get up to speed on the basics pretty quickly. If you know python, it will be a breeze. Source: over 2 years ago
Hello guys, I am currently looking for the right orchestration to build a data pipeline composed of long running tasks (python scripts) among which some run in parallel. Although I was firstly hesitating between Apache Airflow and AWS Step functions, it appeared setting Airflow for production might be too complicated without using a way too expensive service meant for that intent( aws managed worflows or... Source: about 3 years ago
Kestra.io - Infinitely scalable, event-driven, language-agnostic orchestration and scheduling platform to manage millions of workflows declaratively in code.
CloudCheckr - CloudCheckr provides security, cost and usage reporting and analytics to help users manage their AWS deployment.
Apache Airflow - Airflow is a platform to programmaticaly author, schedule and monitor data pipelines.
CloudHealth - CloudHealth is IT service management for the cloud, enabling policy driven cost, utilization, performance and security optimization.
Dagster - The cloud-native open source orchestrator for the whole development lifecycle, with integrated lineage and observability, a declarative programming model, and best-in-class testability.
Cloudability - Cloudability lets you monitor, manage and communicate your cloud costs with one easy tool.