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.

We have recently launched our disruptive Live Debugger on the Azure Marketplace, making it easier than ever before for teams on the Microsoft stack to slash the time they invest in debugging. We are excited about this, as we have been working closely with Microsoft to make sure that both large international enterprises as well as smaller and scaling startups have direct access to Rookout, to make the most out of our dynamic observability solutions.

Over the last year, perhaps unsurprisingly, increasing numbers of companies have made the jump to the cloud. It’s become a necessary move for so many businesses. But, as I discussed with Joe DosSantos on the latest episode of Data Brilliant – the rewards are abundant, but the journey is not always straight forward.

In this article, I'll walk you through the differences between self-hosted CI/CD and cloud-based CI/CD (like Bitrise!) and show you why it's time to move into the cloud.

The manufacturing industry, like any other industry, is not immune to data challenges. Sourcing data, wrangling it and ensuring it’s being used in a governed, standardized way are not uncommon problems. Particularly in manufacturing, issues surface with inventory management, within the supply chain and with logistics.

Are you ready to turbo-charge your data flows on the cloud for maximum speed and efficiency? We are excited to announce the general availability of Cloudera DataFlow for the Public Cloud (CDF-PC) – a brand new experience on the Cloudera Data Platform (CDP) to address some of the key operational and monitoring challenges of standard Apache NiFi clusters that are overloaded with high-performant flows.