02 End-to-End Browser Testing
In Part 2 of the Automation Best Practices with Java workshop, practice writing end-to-end browser tests using testing best practices.
Systems | Development | Analytics | API | Testing
Modern Software Development For Today's Systems & Applications
03 Building Atomic Tests
In Part 3 of the Automation Best Practices with Java workshop, learn about automated atomic tests and their benefits, and the steps to creating atomic tests.
04 Visual End-to-End Testing
In Part 4 of the Automation Best Practices with Java workshop, learn what visual end-to-end (E2E) testing is and how to implement it for a web app.
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!
Interview with CTO Patrick Gleeson
For the next interview in our series speaking to technology and IT leaders around the world, we’ve welcomed Patrick Gleeson, CTO at Basubu to share his insights on being a CTO at a fast-paced startup.
What Is the Difference Between REST and SOAP APIs?
When machines need to communicate with one another and exchange data, they require certain formatting for specific data types. That's where SOAP API and REST API come into play. They allow for communication and transfer of data, but each is different in several ways. From implementation to their required resources, various attributes separate one from the other.
Legacy Modernization and the Value of Enterprise Systems
Talk of what to do with legacy systems often causes angst among leaders. Retiring the system means lost functionality that might be too difficult to replace. Keeping it means more time spent on maintenance rather than value-added tasks. Replacing it can be a financial and logistical nightmare. The result of these talks is often to simply keep it and make do as best as possible.