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MLOps and DevOps: Why Data Makes It Different

O'Reilly Media

While there isn’t an authoritative definition for the term, it shares its ethos with its predecessor, the DevOps movement in software engineering: by adopting well-defined processes, modern tooling, and automated workflows, we can streamline the process of moving from development to robust production deployments.

DevOps 141
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Deploy Amazon SageMaker pipelines using AWS Controllers for Kubernetes

AWS Machine Learning Blog

DevOps engineers often use Kubernetes to manage and scale ML applications, but before an ML model is available, it must be trained and evaluated and, if the quality of the obtained model is satisfactory, uploaded to a model registry. This configuration takes the form of a Directed Acyclic Graph (DAG) represented as a JSON pipeline definition.

DevOps 109
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Best practices for hybrid cloud banking applications secure and compliant deployment across IBM Cloud and Satellite

IBM Journey to AI blog

To deploy applications onto these varying environments, we have developed a set of robust DevSecOps toolchains to build applications, deploy them to a Satellite location in a secure and consistent manner and monitor the environment using the best DevOps practices. DevSecOps workflows focus on a frequent and reliable software delivery process.

DevOps 280
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Connected products at the edge

IBM Journey to AI blog

The difference is found in the definition of edge computing, which states that data is analyzed at the source where data is generated. Learn more about Industry 4.0 One might argue that connected products are just a manifestation of an edge computing use case specifically related to the domain of customer experience (CX).

DevOps 281
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Buying APM was a good decision (so is getting rid of it)

IBM Journey to AI blog

For a long time, there wasn’t a good standard definition of observability that encompassed organizational needs while keeping the spirit of IT monitoring intact. Eventually, the concept of “Observability = Metrics + Traces + Logs” became the de facto definition.

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9 data governance strategies that will unlock the potential of your business data

IBM Journey to AI blog

Establishing standardized definitions and control measures builds a solid foundation that evolves as the framework matures. Data owners manage data domains, help to ensure quality, address data-related issues, and approve data definitions, promoting consistency across the enterprise.

Metadata 188
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The Hybrid Cloud Forecast: Part 2

IBM Journey to AI blog

One of the few pre-scripted questions I ask in most of the episodes is about the guest’s definition of “hybrid cloud.” It isn’t a surprise that so many of the guests on my podcast work on topics and technologies directly related to cloud. ” The answers have all been comparable.

DevOps 180