In the wake of COVID-19, we saw a significant shift toward as-a-service offerings, something we haven’t seen in years. From conversations with CIOs over the past 12 months, we know they are looking for the flexibility, efficiencies and cost savings they get from the as-a-service model. This is especially important to them as they evolve their business models in a hybrid IT direction and become consumers of IT.

Google Cloud Platform is a complex suite of services that are aimed at satisfying client’s computing, storaging, and application operating needs. App Engine, Cloud SQL, Cloud Speech API, Deployment Manager ( just a share of ) are the proud services of a GCP. All of them are developed for optimizing business and making business-client relationships easy and comfortable for sealing the deals and conversions go high.

Cloud-based technologies are increasing day by day. I remember what cloud meant to the people 10 years back and what it means now. It has grown more than just being “saving your files” to “developing on the cloud”. Cloud technology is almost everywhere today. From game development to machine learning projects to neural networks to automation testing- everything is on the cloud. And honestly, why shouldn’t it be?

Fivetran Business Critical secures data traffic with AWS PrivateLink.

If you’ve ever gotten sticker shock after receiving a surprisingly large cloud bill, this might have been your reaction… I think we’ve all been there. While the cloud makes flexible scaling possible, it has also introduced many new services one can use, resulting in increased cloud costs. In this article, I’ll go over the eight ways you can reduce your Kubernetes cloud costs. I use Amazon Web Services (AWS) as an example, but the lessons can also apply to other cloud providers.

In this tutorial, we will look into how to integrate performance testing in your development process with Google Cloud Build and k6. k6 is an open-source load testing tool for testing the performance of APIs, microservices, and websites. Developers use k6 to test a system's performance under a particular load to catch performance regressions or errors.

Earlier this year, Perforce hosted the Embedded DevOps Summit, exploring solutions to modern challenges in the planning, development, and testing stages of embedded software. As part of this event, Warren Savage, Visiting Researcher at the Applied Research Laboratory for Intelligence and Security (ARLIS) at the University of Maryland, presented Secure Collaboration in Cloud-Based Chip Design Environments.

Troubleshooting cloud services and infrastructure is an ongoing challenge for organizations of all sizes. As organizations adopt more cloud services and their cloud environments grow more complex, they naturally produce more telemetry data – including application, system and security logs that document all types of events. All cloud services and infrastructure components generate their own, distinct logs.

During the process of turning data into insights, the most compelling data often comes with an added responsibility—the need to protect the people whose lives are caught up in that data. Plenty of data sets include sensitive information, and it’s the duty of every organization, down to each individual, to ensure that sensitive information is handled appropriately.

Cloud testing is expected to grow to USD 11 Billion by 2023 , and we are talking about only cloud testing here, not cloud computing. Complex testing scenarios such as cross-browser testing, parallel testing, can be made more effective when done on the cloud. The reason being – the cloud provides the required testing environment effortlessly and can be scaled up or down as needed.