Systems | Development | Analytics | API | Testing

SaaS in 60 - New Qlik Application Automation Connectors

Recently we added some Data Warehouse connectors for Amazon Redshift, Google Big Query and Snowflake allowing your workflows to utilize data management operations such as inserts, deletions, updates, SQL queries and even API requests. We’ve also added a connector to work with our new automated machine learning environment AutoML as well as a number of remote application and event management connectors that work with Dbt, UI Path and Splunk.

Sauce Labs Customer Conversations: Byte to Bite Industries

In this Sauce Labs Customer Conversation, Product Marketing Manager Abigail Kurtzman interviews Everett Carney, Byte to Bite's Chief Technology Officer. Watch the video to learn about the ways in which Byte to Bite is revolutionizing tech in the food delivery industry by using a breadth of Sauce Labs testing solutions. Happy testing!

Node.js Error Handling Best Practices: Ship With Confidence

Node.js error handling isn’t a walk in the park. When deploying applications into production, we want to know that all code has been tested for all possible complex scenarios. We can, however, avoid issues by preparing our code to properly handle errors. To do so, we need to understand: Today we’re going to take you through the above items and give you a tour of JavaScript’s main quirks for better insight and understanding.

API Management vs. API Gateways: What's the Difference?

Businesses of all sizes are increasingly relying on APIs to create competitive advantages, but many don't know the difference between API Management and API Gateways. This article will discuss what each solution does, how they can be used in conjunction with one another, and why it's essential to use both services when building an API strategy.

Security Reference Architecture Summary for Cloudera Data Platform

This blog will summarise the security architecture of a CDP Private Cloud Base cluster. The architecture reflects the four pillars of security engineering best practice, Perimeter, Data, Access and Visibility. The release of CDP Private Cloud Base has seen a number of significant enhancements to the security architecture including: Before diving into the technologies it is worth becoming familiar with the key security principle of a layered approach that facilitates defense in depth.

Expanding the Data Cloud with Apache Iceberg

The Snowflake Data Cloud is a powerful place to work with data because we have made it easy to do difficult things with data, such as breaking down data silos, safely sharing complex data sets, and querying massive amounts of data. As customers move to the Data Cloud, their needs and timelines vary—our goal is to meet every customer where they are on their Data Cloud journey.

Visual Regression Testing: 5 Best Tools to Catch Visual Bugs

Automated visual regression testing tools check for style issues and problems with the visual layer of an app or website. The benefit of these tools is that they can catch issues on the visual layer (the user interface of the website or app, which customers see) that may get missed by test scripts that only interact with the underlying code (the DOM).

Introducing the MTTRP: Mean Time to Reddit Post

For those not familiar with the acronym MTTR, ‘Mean Time to Recovery’, is the average time your organization takes to bounce back from a product or system failure. All DevOps stakeholders want this number to be low, as it is a good proxy for your organization’s ability to understand and improve its overall processes. Also, low MTTR scores are strongly correlated with customer satisfaction ratings! But we aren’t talking about DevOps metrics today.

What is DevOps Testing?

The goal of DevOps is to streamline and automate your whole software delivery lifecycle. A successful DevOps testing plan for most businesses begins with implementing the agile best practice of Continuous Integration (CI), in which developers check code into a common repository numerous times per day. DevOps test engineers are team members that are in charge of testing in a DevOps setting.

Promo video - Demystifying DataOps - Riding the Change

A well planned data-driven strategy has become the need of the hour in today’s competitive world. In order to deliver the best, businesses need relevant, appropriate and sufficient data at the right time. But the characteristics of data are changing rapidly across volume, variety and variability, which puts enormous pressure on current data management approaches. Thus, dealing with real-time insights from increasing data in an automated manner has become the current focus of many experts. This has resulted in the rise of DataOps.