Google Cloud has a genuine passion for solving technology problems that make a difference for our customers. With the release of our BigQuery Connector for SAP, we're taking a another big step towards solving a major challenge for SAP customers with a quick, easy, and inexpensive way to integrate SAP data with BigQuery, our serverless, highly scalable, and cost-effective multi cloud data warehouse designed for business agility.

We’re thrilled to announce the launch of Testsigma Community Edition, the first ever open source test automation platform that works out of the box for web and mobile apps, and APIs. The Community Edition brings a core part of Testsigma’s cloud-based platform directly to the QA community. This includes an integrated automation engine, test development and test runner modules, and some cool new customization features. Check out the project repo on Github and give it a go.

From the modern application platform perspective, products should allow architects and DevOps teams to support dynamic topologies. That means a multi-platform capability is required but not sufficient. In fact, for several reasons, companies are looking for hybrid deployments to run their applications on several platforms simultaneously. Moreover, the topology should support and adjust for new and continuous architecture changes.

As I meet with our customers, there are always a range of discussions regarding the use of the cloud for financial services data and analytics. Customers vary widely on the topic of public cloud – what data sources, what use cases are right for public cloud deployments – beyond sandbox, experimentation efforts. Private cloud continues to gain traction with firms realizing the benefits of greater flexibility and dynamic scalability.

This blog post is a summary of my talk at the iOS Singapore Conference 2022 about scaling up iOS automated tests using fastlane and other tools.

The iPaaS market is clearly growing now at a faster pace than ever anticipated. This is not only due to the pandemic forcing companies to accelerate the digital transformation, but also in general due to the rise of SaaS. The replacement of older, server-bound software solutions with more modular, user-friendly and flexible SaaS solutions means customers need to connect these disparate cloud systems somehow if they want their business to become truly data driven.

Azure Synapse Analytics, still commonly known as Azure Data Warehouse, is Microsoft's cloud data warehouse that processes relational and non-relational data for analytics. As one of the most popular data warehousing tools, Azure lets you generate real-time insights into almost every aspect of your business, from sales to customer service. But how do you get data to Azure in the first place? That's where an Extract, Transform, and Load (ETL) tool proves useful.

It’s a long tradition at Bitrise that we compile the biggest learnings from the previous year in our annual State of App Development blog post. Let’s take a look at what 2021 brought our way, shall we?

Fitness app development is exploding — what health company isn’t trying to create a fitness app for their customers? According to Allied Market Research, the global fitness app market size was valued at $13.78 billion in 2020 and is projected to reach $120.37 billion by 2030. With the COVID-19 pandemic keeping people at home, consumers are looking for new ways to keep exercise interesting. Adaptable brands are rushing to provide the next best service.

According to 451 Research, 96% of enterprises are actively pursuing a hybrid IT strategy. Modern, real-time businesses require accelerated cycles of innovation that are expensive and difficult to maintain with legacy data platforms. Cloud technologies and respective service providers have evolved solutions to address these challenges.