Systems | Development | Analytics | API | Testing

Does your organization use testing as a catch-all safety net for quality? Testers can often become the gatekeepers and decision-makers regarding whether something is ready to be “signed off,” which creates silos and can slow down releases. Nowadays, there is a lot more talk and emphasis in the testing and QA industry about shifting towards a quality engineering approach to build quality-in, and for everyone to contribute to the overall quality of what is being delivered.

Data is the fuel that drives government, enables transparency, and powers citizen services. But while state and local governments seek to improve policies, decision making, and the services constituents rely upon, data silos create accessibility and sharing challenges that hinder public sector agencies from transforming their data into a strategic asset and leveraging it for the common good.

From performance metrics to resource allocation to customer feedback, there is a lot of important data for businesses to track today, and it can be difficult to measure it all - but with the right dashboard in place, collating such data for everyone to see is much easier. However, if your dashboard analytics is outdated or otherwise not updated fast enough, you may not be able to provide accurate data about your company's performance at all.

Organizations invest in software with the idea that the new tools will deliver a variety of benefits. Some benefits are more qualitative, such as an improved user or customer experience, but others can have a direct impact on your bottom line. Whether it's an asset management solution, payroll system, or procurement application, technology has the ability to save organizations substantial amounts of money by streamlining your business processes.

Iguazio users can now run their ML workloads on AWS EC2 Spot instances. When running ML functions, you might want to control whether to run on Spot nodes or On-Demand compute instances. When deploying Iguazio MLOps platform on AWS, running a job (e.g. model training) or deploying a serving function users are now able to choose to deploy it on AWS EC2 Spot compute instances.

New data tools and technologies can help your team get more done with less budget, headcount and risk.

If you’ve been following commentary on the modern data stack recently, you may have noticed the tent’s steadily getting bigger. There also appears to be a growing ecosystem of companies that are beginning to take the next step, going from what a modern data stack can look like, to now internalizing this concept in their very own product solutions.

Welcome to The Monthly Sauce! At Sauce Labs, we believe that every experience matters. It’s what drives us to build products that equip our customers with digital confidence in the rapidly evolving world of software development. Read on to learn how our newest features and insights can help strengthen your testing.

Firms are burdened with tech debt and endless regulatory compliance, often leaving innovation last to receive the necessary budgets. Data-fuelled innovation requires a pragmatic strategy. This blog lays out some steps to help you incrementally advance efforts to be a more data-driven, customer-centric organization.

Nowadays, SaaS companies have to be ready to offer add-ons to their product, and many of them started having this approach to improve their customer satisfaction. Why? Because customers are looking for products that include integrations with their preferred cloud applications.