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
Implement Postgres on Kubernetes with Ondat and SUSE Rancher
3 years ago

Implement Postgres on Kubernetes with Ondat and SUSE Rancher

We previously explored the challenges of running public cloud DBaaS and benefits of running your own Database as a Service (DBaaS) on Kubernetes using SUSE Rancher and Ondat. Now, we’re going to take the theory and make it practical.
P99 CONF: Sharpening our Axes to Battle Latency Misery
3 years ago

P99 CONF: Sharpening our Axes to Battle Latency Misery

P99 CONF – an open-source-community-focused conference for engineers who obsess over low latency – kicked off with Gil Tene’s take on “misery metrics” and wrapped with a look at P99 latency reduction as a Sisyphean task.
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.

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