Systems | Development | Analytics | API | Testing

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A Deep Dive into Data & Variables in Software Testing | Rahul Verma | TestFlix 2023 |

In this thought-provoking video, Rahul Verma explores the concept of "Icchadari Data: The Revolt Mnemonic." Rahul challenges the traditional view of variables and values, especially in the context of test design and sampling. He introduces the idea of a "Wanderer" – data that undergoes transformations and meanders through a system, often defying conventional definitions.

Digital ARMER | Cybersecurity Awareness Month | Cigniti

We're excited to introduce our annual program, Digital ARMER - Shaping Safer Enterprises, in honor of Cybersecurity Awareness Month this October. This initiative will run throughout the entire month and aims to equip participants with the essential skills needed to fortify their digital security, guaranteeing the safety and robustness of their enterprises.

Most Common API Issues & How to Fix Them

APIs have become a crucial connection in the space where business and technology meet. According to MarketsandMarkets, the API management market is projected to be worth $5.1 billion by 2023. It’s clear that API use is growing and that this growth will continue well into the future. While APIs offer plenty of benefits, some common API issues tend to arise, regardless of industry.

Proxy-Wasm: It's WebAssembly for Proxies

Picture this: You're building the next generation of microservices architecture in your organization. The orchestration is in place, containers are humming, and you've chosen Kong Gateway (naturally) to manage the APIs, ensuring smooth communication. But then, you hit a snag. You need a custom filter not part of the standard library of plugins, or you envision a unique way to manipulate, observe, or control the traffic.

Unlocking Data Innovation: Morgan Stanley's Journey with Snowflake for Customer 360

Learn how Morgan Stanley is delivering the optimized and modern data experience for internal Morgan Stanley teams, as well as wealth customers. Key focuses include the approach that the technology team has taken to build a data platform with Snowflake and how that has translated to enabling data science and machine learning, data collaboration, and analytics workloads to drive core business outcomes. Topics include an overview of the Morgan Stanley Wealth Management data ecosystem and how Snowflake and key partners fit in, a deep dive into data science and machine learning and analytics workloads, and the key business use cases enabled by the technology.