ChaosSearch Live Demo - Cloudflare Log Analysis Made Easy
On this installment of our series of live demos we discuss Cloudflare log analysis.
Systems | Development | Analytics | API | Testing
Modern Software Development For Today's Systems & Applications
Future-proofing the supply chain with real-time data
Next to the healthcare system, COVID-19’s biggest infrastructural burden fell upon the supply chain. Fluctuations in supply and demand of essential goods, along with the oil surplus, led to a freight cliff in mid-April. Outbound tender volume and spot rates bottomed out, which highlighted a massive drop in demand. As the market rebounds, technological investments are key to the industry’s recovery.
Mobile App Distribution Made Easy - Introducing Applivery Integrations
Cheers to the newest addition to the Bitrise Step Library — meet Applivery , a powerful enterprise mobile device management system that enables full control over your Mobile Apps. Combined with Bitrise, you can cover the entire development life cycle, from testing and building to delivery and feedback.
Anodot Tutorial: Monitoring AWS Usage with Machine Learning
A 3-minute guide to help you start monitoring your AWS usage on Anodot's machine learning platform. Once it's up and running, Anodot will continuously monitor your AWS usage and deliver real-time alerts when there's an anomalous spike or drop. This powerful capability enables you to act quickly, far before costs get out of hand.
The Data Modernization Imperative. The Emergence of Kafka & the Growing Role of DataOps - Session 3
Featuring: Matt Aslett, Research Director, Data, AI and Analytics, 451 Research The Kafka skills shortage Matt Aslett, Research Director, 451 Research shares the challenges created by the wide-scale adoption of #ApacheKafka. In many cases, Kafka is a victim of its own success. Listen in on strategies of how organizations building applications on #Kafka can scale their teams in spite of a skills shortage.
The Data Modernization Imperative. The Emergence of Kafka & the Growing Role of DataOps - Session 2
Featuring: Matt Aslett, Research Director, Data, AI and Analytics, 451 Research Kafka adoption and the role of #DataOps Matt Aslett, Research Director, 451 Research discusses the emergence of #ApacheKafka, as a leading platform for real-time event-driven architectures. While adoption is strong, organizations are challenged by the complexity of #Kafka as their deployments expand and additional use cases are adopted.
The Data Modernization Imperative. The Emergence of Kafka & the Growing Role of DataOps - Session 1
Featuring: Matt Aslett, Research Director, Data, AI and Analytics, 451 Research Key trends in data modernization Matt Aslett, Research Director, 451 Research highlights data modernization strategies influenced by the Coronavirus Pandemic. In particular, he points to data-driven decision making and real-time technologies such as #ApacheKafka as enablers. Key initiatives, such as #DataOps are discussed, and the pivotable role it shares in driving data modernization.
Why Should Your Business Move to the Cloud?
Cloud computing is a well-established IT option for businesses of all sizes in the modern era, but there are still plenty of organizations that have remained reticent about adoption. If you are in this camp, here is a look at a few of the reasons that migrating an on-premise data warehouse to the cloud may make a lot of sense, in addition to the other contexts in which the cloud could be a better fit for your business.
Building an effective data approach in a hybrid cloud world
“In today’s world of disruption and transformation, there are a few key things that all organizations are trying to figure out: how to remain relevant to their customer base, how to deal with the pressure of disruption in their industry and, undoubtedly, how to look to technology to help deliver a better service.” Paul Mackay Today we are sitting down with Marc Beierschoder, Analytics & Cognitive Offering Lead at Deloitte Germany and Paul Mackay, the EMEA Cloud Lead at Cloudera to dis
Eliminate the pitfalls on your path to public cloud
As organizations look to get smarter and more agile in how they gain value and insight from their data, they are now able to take advantage of a fundamental shift in architecture. In the last decade, as an industry, we have gone from monolithic machines with direct-attached storage to VMs to cloud. The main attraction of cloud is due to its separation of compute and storage – a major architectural shift in the infrastructure layer that changes the way data can be stored and processed.