Systems | Development | Analytics | API | Testing

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Why You Need DataOps in Your Organization

DataOps is the hot new trend in IT, following on from the rapid rise of DevOps over the last decade. The growth of AI, machine learning, and move to cloud all contribute to the growing importance of DataOps. Kunal Agarwal, Unravel Data CEO will take you through the rise of DataOps and show you how to implement a data culture in your organization.

Deploy With Ease and Enable API Automation With Scale

Microservices is a technology that is leading the march toward digital transformation in the world of application development. As the number of APIs increase, the need for a single entry point into the system becomes necessary. This means that a secured, robust, agile API gateway is highly important. However, what we often forget is that the API deployments must also move up with the CI/CD model, along with other components of the project.

JWT Claims With Rate Limiting in Kong

In Kong, plugins can be thought of as policy enforcers. In the case of rate limiting, Kong offers two plugins: An open source one and Enterprise. Both plugins can limit requests per consumer, route, service or globally. Configuring the same plugin is also possible on a more than level. When this occurs, an order of precedence is used to determine which configuration to run. With this capability, it is possible to apply fine-grained policy control. In this article, we cover an advanced use case.

Load Test Your Rails Apps with Apache JMeter

Every Rails app has a breaking point; a level of activity that it simply cannot handle. Your braking point depends on big architectural decisions, yes — and also on the tiniest changes committed by your most junior developer. That's why it's vital to regularly test your application's performance under load. In this article, Milap Neupane gives us a Rails-centric introduction to load testing with a powerful open-source tool called JMeter.

Healthcare and Life Sciences Digital Trends for 2021

For healthcare and life sciences organizations, 2020 began like many other years. They looked to the year ahead and focused on how to best serve their patients, members, and other constituents through their latest innovation. As we now know, nothing about 2020 was ordinary, especially for leaders within these industries.

How Has COVID-19 Impacted Data Science?

The COVID-19 pandemic disrupted supply chains and brought economies around the world to a standstill. In turn, businesses need access to accurate, timely data more than ever before. As a result, the demand for data analytics is skyrocketing as businesses try to navigate an uncertain futured. However, the sudden surge in demand comes with its own set of challenges.