Systems | Development | Analytics | API | Testing

%term

The Rainforest Method: 5 essential QA testing best practices

Over a decade of helping startups improve quality, we’ve arrived at a set of QA testing best practices that work for teams shipping fast and frequently. They fit neatly into five organizing principles: Together, these principles represent The Rainforest Method. We’ve built our QA solution to make it easy for you to put this software testing method into practice and develop a quality product. A few notes: Contents Toggle.

JMeter JMesPath Extractor

Extracting values from server responses is a common operation in scripting scenarios for performance testing. In most cases it is a mandatory step in order to reproduce realistic traffic using dynamic values generated on server side like sessionIds or Tokens. The most known way to extract values is using regular expression. While regular expressions are efficient for raw text-based responses, they are less efficient for structured responses like XML or JSON.

Snowflake Launches the World's Best Practical Text-Embedding Model for Retrieval Use Cases

Today Snowflake is launching and open-sourcing with an Apache 2.0 license the Snowflake Arctic embed family of models. Based on the Massive Text Embedding Benchmark (MTEB) Retrieval Leaderboard, the largest Arctic embed model with only 334 million parameters is the only one to surpass average retrieval performance of 55.9, a feat only less practical to deploy models with over 1 billion parameters are able to achieve.

Gittogether | How to stay technical as an Engineering leader | Robin Gupta

"Every engineer hits the fork in the road in their career, deciding whether to grow as an engineering manager or an architect. The dangling question is: ""How will I keep my technical skills sharp?"" This was the predicament I faced as I transitioned from a Tech Lead to a Senior Management role. My solution? Open source.

Snowflake Horizon Demo for Data Governors And Stewards

Ravi Kumar, Senior Partner Sales Engineer at Snowflake, shows you how to govern and discover data, apps, and more in Snowflake Horizon. In this demo targeted at data governors and stewards, learn and try the core capabilities of Snowflake Horizon such as classifying and tagging sensitive data, visualizing lineage, monitoring data quality, and applying granular policies.

Secure and scalable data lifecycles with RedHat and Cloudera

Firas Yasin, Global Alliance Manager of AI/ML at RedHat, introduces the RedHat and Cloudera partnership. Firas shares that customers are often missing the combination of security, scalability and support when deploying open-source solutions for their end-to-end data lifecycles. In this video, Firas highlights that together with RedHat OpenShift and Cloudera Data Platform, customers can achieve security and scalability through the joint solution, in addition to catalyzing on RedHat and Cloudera’s unrivaled support offerings.

What Does Testing a Generative UI Look Like?

Imagine a world where every piece of digital content can be verified and traced back to its source. Lindsay Walker, Product Lead at Starling Lab for Data Integrity, walks us through the emerging tools that could make this possible. While AI tools hold incredible potential for good, Lindsay also warns against threats and countermeasures needed to keep our virtual representations safe. She emphasizes the need to build provenance into tools, discusses blockchain use cases, and shares systems that implement hashes for security.