Operations | Monitoring | ITSM | DevOps | Cloud

Leveraging Data Science to Design User-Centric Mobile Apps

It's easy to understand why many businesses develop mobile apps to satisfy their target audience's needs. The problem is that only some mobile applications become successful because businesses let their opinions rather than data drive their decisions. Data science and data analytics are necessary to outclass the competition and succeed. They give tailored insights to help you make the right decisions in hours rather than days. In this article, we'll discuss why data is the main game-changer in the mobile app market and provide insights into designing user-centric mobile apps using data.

Max Pagel, SensorFlow: Amplifying Advancement with AI

SensorFlow’s Co-Founder and CTO on using technology to do more with less and why the platform approach will always win Like many entrepreneurs, Pagel’s step into business was borne out of a desire to do things differently. His founder journey began in 2016 in Singapore — a place he still calls home today. While working as a research associate at a university, he became frustrated with the science ecosystem and how it all worked.

Micah Lasseter, Delivery Hero: The Link Between Leadership, Learning and Diversity

Discover how Micah Lasseter, Director of Leadership and Management Development at Delivery Hero is creating a link between leadership, learning and diversity. We’ve all heard the old saying that travel broadens the mind. But Micah Lasseter, Director of Leadership and Management Development at Delivery Hero can confirm that it is absolutely true.

Reduce Cloud Costs and Recover Application Waste | Pepperdata Capacity Optimizer

Pepperdata has saved companies over $200M over the last decade by reclaiming application waste and increasing your hardware utilization to reduce costs in the cloud. It completely eliminates the need for manual tuning, applying recommendations, or changing application code: it's autonomous, real-time cost optimization.

Machine Learning and Infrastructure Monitoring: Tools and Justification

In the rapidly changing world of technology, effective monitoring is critical for maintaining your infrastructure and ensuring it performs effectively. While traditional monitoring methods are effective, they can fall short as systems scale and become more dynamic and complex. This article aims to bridge the gap by introducing software engineers to the power of machine learning (ML) in infrastructure monitoring, outlining not just the ‘how’ but the ‘why’ of its application.

Aiven for Dragonfly - Unleash Super-Fast Caching

Aiven for Dragonfly delivers a 700% performance boost to scale with your enterprise needs Scalability and performance are major challenges for modern enterprise applications. Aiven for Dragonfly, now generally available, delivers nearly 700 percent higher throughput (requests per second) and uses approximately 25 percent less memory compared to open source Redis® on similar hardware, according to our benchmark study.