Hello everyone this is Daniel. I've recently started at Akuity - A company started by the creators and maintainers of the Argo project. As I started familiarizing myself with the Argo suite, I thought it would be a good chance to give an introduction to Argo for those who are new to the project.
Argo is a collection of open-source tools for Kubernetes to run workflows, manage clusters, and do GitOps right.
Since discovering Argo, I was always curious to know where the name and the mascot came from. It was finally through Akuity's seed announcement that I heard the story from one of the creators of Argo itself.
"Argo was named after the ship Argo in Greek mythology, which carried the Greek mythological hero Jason and the Argonauts on their quest for the Golden Fleece. An argonaut also happens to be a species of pelagic octopuses, and so we used an octopus as our open source project mascot. Argonauts are groups of hard-working deep-sea octopuses that traverse undersea and perform numerous tasks critical to marine biology."
Jesse Suen, Argo Project Lead, Co-founder, and CTO at Akuity
Argo CD is perhaps the most well-known tool within the Argo project. It was created at Intuit to handle deployments to Kubernetes at scale. The mission at the time was to migrate from physical data centers to Kubernetes on AWS. The creators (Alexander Matyushentsev and Jesse Suen) were unable to find a Kubernetes-native solution that fit the needs of a large enterprise, so Argo CD was born. It was decided to use a GitOps approach for deployments since as a financial company, there are many regulatory and compliance requirements that GitOps helps solve.
Main characteristics & use cases:
Argo Workflows was actually the first Argo project and was created at Applatix when Hong Wang, Jesse Suen, and Alexander Matyushentsev were at Applatix. Argo Workflows extends the Kubernetes API with a new Workflow CRD (Custom Resource Definition). A Workflow is a very extensible batch resource (similar to a Kubernete Job) that can be used for many applications, however, many companies have realized how to take advantage of Argo Workflows in ML & Data pipelines.
Main characteristics & use cases:
Argo Rollouts was another tool born out of necessity due to Kubernetes' lack of more sophisticated deployment strategies. The requirement to perform blue-green and canary deployments on Kubernetes prompted creators Alexander Matyushentsev, Danny Thomson, and Jesse Suen to develop a more sophisticated workload controller. Argo Rollouts replaces the Deployment resource with a more advanced Rollout resource. As companies continued to scale and have requirements for better customer experience and SLA's, the need for complex deployment strategies came.
Main characteristics & use cases:
Argo Events was originally created to be a lightweight, Kubernetes native mechanism to automatically trigger Argo Workflows in response to events such as time, new object detection, commits, messages, and more. This could be used for simple use cases to elegantly trigger workflows based on results, but also be used for complex ML (Machine Learning) or data-centric use cases.
Main characteristics & use cases:
As this suite of tools gains traction, Akuity.io was founded by the co-creators of Argo to help users implement and scale their software delivery process. Find out how we can help with professional support, solutions, prioritized patches, and guaranteed enterprise SLAs from our team of Argo experts.
Stay tuned for more on our blog series as we share more insight, guides, and solutions that range from beginner to expert.
Thank you, and if there is anything I can help with feel free to reach out to me via Twitter @dhpup.
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