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Introduction to Automation Testing Services: What You Need to Know

Quality can feel elusive in this rapidly changing world of software development where applications are in constant flux. Quality can feel elusive in this rapidly changing world of software development where applications are in constant flux. Automation testing services make their way into the scene- a radical innovation that rationalizes the entire testing process: time and resources saved result in a better product delivered ultimately.

Databases Compared: Databricks vs. Snowflake vs. ChaosSearch vs. Elasticsearch

For organizations that generate large amounts of data, implementing a cloud database solution is a critical step towards enabling performant and cost-effective data storage, transformation, and analytics. Choosing the right cloud database solution involves careful consideration of features, capabilities, costs, and use cases to ensure alignment with your organization’s needs and objectives. This blog post features an in-depth comparison of four popular cloud database solutions: Databricks vs.

Master the Craft: A Simple Step-by-Step Guide to Develop an API

This guide provides a streamlined approach to the API development process, detailing the essential phases from the initial concept to the realization of a fully operational API. You’ll discover how to plan, design, and implement your own API and ensure it’s reliable and secure. With practical insights and actionable advice, you’ll learn the nuances of API development, from understanding the needs of your users to creating a scalable infrastructure that can handle growth.

Improve Your Enterprise Risk Management Framework with Process Automation

The regulatory and business demands of financial services require teams to collaborate with consistency and accuracy—a difficult task when it comes to enterprise risk management (ERM). Business units often complete their risk management strategic objectives independently, and since each may have its own taxonomies and processes, human errors may go unnoticed, increasing potential risk.

Contributing to Apache Kafka: How to Write a KIP

I’m brand new to writing KIPs (Kafka Improvement Proposals). I’ve written two so far, and my hands sweat every time I hit send on an email with ‘ KIP’ in the title. But I’ve also learned a lot from the process: about Apache Kafka internals, the process of writing KIPs, the Kafka community, and the most important motivation for developing software: our end users. What did I actually write? Let’s review KIP-941 and KIP-1020.

Snowflake Arctic Cookbook Series: Instruction-Tuning Arctic

On April 24, we released Snowflake Arctic with a key goal in mind: to be truly open. In line with that goal, the Snowflake AI Research team is writing a series of cookbooks to describe how to pretrain, fine-tune, evaluate, and serve large-scale mixture-of-experts (MoEs) such as Arctic.

Web CI on Bitrise: Beta announcement

Mobile developers love using Bitrise, and we get it. But we also know your products and automation workflows extend beyond just mobile apps. That's why we're thrilled to announce Bitrise's expansion into web CI/CD! While in beta, this is your chance to help shape an industry-leading solution for your entire development process.

What is Live Testing? Guide To Do Live Testing In-depth

Live testing is to test software in real-world situations with real users instead of simulated data. This approach allows testers to check software quality in actual usage scenarios and real-world conditions. They do have their own risks to take into consideration, since we are interacting with real users and live systems here. In this article, we will explore the concept of live testing in-depth, and how you can better do live testing with the right tools and approach.

5 Advantages of Enterprise Intelligent Automation

3. Elevate risk governance to the next level. NatWest is the UK's leading business bank and second-largest retail mortgage provider. Lengthy change implementation processes hindered risk governance at the bank. Initiating change projects or launching products and applications meant navigating layers of policy checks and approvals, which could take up to 73 days.