DevOps Articles

Curated articles, resources, tips and trends from the DevOps World.

Oh Dear
Oh Dear The all-in-one monitoring tool for your entire website
Fathom
Fathom Fathom Analytics: A Better Google Analytics Alternative
Marblism
Marblism All-in-one AI Agents who handle the busywork, so you can focus on growth
Littlebird AI
Littlebird AI Check out Littlebird - it's helped me stay super productive. You get 2 months free
Namecheap
Namecheap
3 years ago

New for Amazon SageMaker – Perform Shadow Tests to Compare Inference Perfor

As you move your machine learning (ML) workloads into production, you need to continuously monitor your deployed models and iterate when you observe a deviation in your model performance.
3 years ago

Next Generation SageMaker Notebooks – Now with Built-in Data Preparation, R

In 2019, we introduced Amazon SageMaker Studio, the first fully integrated development environment (IDE) for data science and machine learning (ML).
AWS Machine Learning University New Educator Enablement Program to Build Di
3 years ago

AWS Machine Learning University New Educator Enablement Program to Build Di

AWS Machine Learning University is now providing a free educator enablement program.
3 years ago

New – Share ML Models and Notebooks More Easily Within Your Organization wi

Amazon SageMaker JumpStart is a machine learning (ML) hub that can help you accelerate your ML journey.
3 years ago

New for Amazon Redshift – Simplify Data Ingestion and Make Your Data Wareho

When we talk with customers, we hear that they want to be able to harness insights from data in order to make timely, impactful, and actionable business decisions.
New — Introducing Support for Real-Time and Batch Inference in Amazon SageM
3 years ago

New — Introducing Support for Real-Time and Batch Inference in Amazon SageM

To build machine learning models, machine learning engineers need to develop a data transformation pipeline to prepare the data.
New — Amazon SageMaker Data Wrangler Supports SaaS Applications as Data Sou
3 years ago

New — Amazon SageMaker Data Wrangler Supports SaaS Applications as Data Sou

Data fuels machine learning. In machine learning, data preparation is the process of transforming raw data into a format that is suitable for further processing and analysis.
Announcing Additional Data Connectors for Amazon AppFlow
3 years ago

Announcing Additional Data Connectors for Amazon AppFlow

Gathering insights from data is a more effective process if that data isn’t fragmented across multiple systems and data stores, whether on premises or in the cloud.
3 years ago

New ML Governance Tools for Amazon SageMaker – Simplify Access Control and

As companies increasingly adopt machine learning (ML) for their business applications, they are looking for ways to improve governance of their ML projects with simplified access control and enhanced visibility across the ML lifecycle.

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