Systems | Development | Analytics | API | Testing

Technology

A Primer on Cloud Architecture

The cloud is growing more and more popular each day. We are in an era where there is a prominent trend of companies migrating from traditional on-premise systems to more reliable and fast cloud-based systems. However, the conversion is still not rampant on a large scale, primarily due to the lack of awareness in the up-and-coming businesses about the cloud’s fundamentals. However, the cloud has proven to be a sound and worthy option time and time again.

Cloud vendor's MLOps or Open source?

If someone had told my 15-years-ago self that I’d become a DevOps engineer, I’d have scratched my head and asked them to repeat that. Back then, of course, applications were either maintained on a dedicated server or (sigh!) installed on end-user machines with little control or flexibility. Today, these paradigms are essentially obsolete; cloud computing is ubiquitous and successful.

Business Intelligence on the Cloud Data Platform: Approaches to Schemas

The cloud data platform combines data warehouse and data lake capabilities to support the exploding world of analytics. Like a data warehouse, the cloud data platform structures, transforms, and queries data. Like a data lake, it classifies multi-structured data objects in an elastic object store. The cloud data platform provides an ideal launchpad for modern business intelligence (BI) projects that need fast, flexible access to lots of varied data. As you might expect, this is a tall order to fill.

Insights from Deloitte: Streamline Cloud-to-Cloud Appian Migrations

Cloud-to-cloud migration can be an expensive, cumbersome, and overwhelming process with no guarantee of success. Yet, moving data from cloud to cloud is becoming more and more common in the public sector as operations are being migrated to the cloud more completely. Factors like complexities in environments, sheer volume of historical data, and application nuances can greatly impact the success or failure of a cloud migration effort.

Integrate.io Achieves Google Cloud Ready - BigQuery Designation!

We are excited to announce that Integrate.io has achieved Google BigQuery designation! Google's BigQuery service is a great way to store and analyze large amounts of data. To ensure customers have confidence in their integration, Google engineers do validation tests on the integrations before they're allowed into their system - making sure everything works as expected!

Mobile testing: Most critical scenarios you shouldn't miss to test

The owners and makers of web applications always try to carve up a section to represent their mobile applications in the footer tab like this on Myntra: Or showcase it with lines that show that their app has much more to offer than their website like Uber: And sometimes, dedicate a complete section on the top 25% screen of the website like Makemytrip: Screen space is very valuable in a web application.