Systems | Development | Analytics | API | Testing

How to Migrate Your Blog from Gatsby to Next.js

A while back, you were probably looking for a great solution to create your blog, and Gatsby was the most popular solution floating around at the time. Now that some time has passed, a new player has risen to fame on the scene: Next.js has taken developer blogs by storm. Whatever your reasons for switching, we will explain how to switch from the Gatsby stack over to Next.js in this post.

ODSC Webinar: Git Based CI/CD for ML

In this session, Yaron Haviv, Iguazio's Co-Founder and CTO, discussed how to enable continuous delivery of machine learning to production using Git-based ML pipelines (Github Actions) with hosted training and model serving environments. He touched upon how to leverage Git to solve rigorous MLOps needs: automating workflows, reviewing models, storing versioned models as artifacts, and running CI/CD for ML. He also covered how to enable controlled collaboration across ML teams using Git review processes and how to implement an MLOps solution based on available open-source tools and hosted ML platforms. The session includes a live demo.

On Connectivity and Conflict

The Two Generals’ Problem is a well-known thought experiment about how asynchronous – and potentially unreliable – communications can cause, shall we say, issues. These great generals from history are facing a cunning and capable enemy. Think of someone like Khalid ibn al-Walid, Napoleon, Erwin Rommel or Sun Tzu. If the generals attack together, they will win. If they attack separately, they will lose. The problem is that they are communicating over an unreliable and slow medium.

Moesif and Datadog: Feature Similarities, Differences, and How They Can Work Together

Moesif and Datadog are both platforms that provide monitoring and the ability to view metrics. At their core, though, both platforms do very different things for your organization and the teams that use them. Both can complement each other very well and contain features that can aid in making better products that scale seamlessly.

How Bayer Crop Science uses BigQuery and geobeam to improve soil health

Bayer Crop Science uses Google Cloud to analyze billions of acres of land to better understand the characteristics of the soil that produces our food crops. Bayer’s teams of data scientists are leveraging services from across Google Cloud to load, store, analyze, and visualize geospatial data to develop unique business insights. And because much of this important work is done using publicly-available data, you can too!