Getting a working machine learning model deployed for user consumption is a great achievement. We see statistics showing that machine learning models often fail to make it into production, whether this is due to insufficient data, lack of direction or other reasons.
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Jina is an MLOps framework to build multimodal AI services and pipelines then serve, scale and deploy them to a production-ready environment like Kubernetes or Jina AI Cloud. Jina handles the infrastructure complexity, making advanced solution engineering and cloud-native technologies accessible to every developer.
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Learn the techniques we used to build a performant and efficient product categorization endpoint that will be used within our product data pipeline.
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Machine learning operations (MLOps) are often synonymous with large and complex applications, but many MLOps practices help practitioners build better models, regardless of the size. This talk shares best practices for operationalizing a model and practical examples using the open-source MLOps framework vetiver to version, share, deploy, and monitor models.
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Jina is a MLOps framework that empowers anyone to build cross-modal and multi-modal applications on the cloud. It uplifts a PoC into a production-ready service. Jina handles the infrastructure complexity, making advanced solution engineering and cloud-native technologies accessible to every developer.
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Skopeo works with API V2 container image registries such as docker.io and quay.io registries, private registries, local directories and local OCI-layout directories.
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Kubernetes became a de-facto standard in recent years and many of us - both DevOps engineers and developers alike - use it on daily basis. Many of the task that we perform are however, same, boring and easy to automate. Oftentimes it’s simple enough to whip up a quick shell script with a bunch of kubectl commands, but for more complicated automation tasks bash just isn’t good enough, and you need the power of proper language, such as Python.
We recommend starting with the default structure created by the dbt init [TD1] command and checking out the best practices from the folks at dbt (dbt documentation, dbt app reference, and discourse).
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Developers and Open Source authors now have a massive amount of services offering free tiers, but it can be hard to find them all to make informed decisions.
This is a list of software (SaaS, PaaS, IaaS, etc.) and other offerings that have free tiers for developers.
The scope of this particular list is limited to things that infrastructure developers (System Administrator, DevOps Practitioners, etc.) are likely to find useful. We love all the free services out there, but it would be good to keep it on topic.
