From Twitter and Netflix to Salesforce and Confluent, modern analytics applications are being built by developers across the world’s leading digital businesses to create digital tools that serve real-time analytics to hundreds or even thousands of concurrent users. Looking more closely at what these apps do reveals some critical, strategic technology decision-making. In particular, why […]
5 Ways to Transform DataOps With Human-in-the-Loop Automation
We are in the middle of a data renaissance. Today, it’s not just about data instrumentation but also learning how to make DataOps a real business advantage for the entire organization. Data has become an inextricable part of products, used to enhance the quality of user experiences. Reliable access to data and the integrity of […]
Dynatrace Adds Grail Data Lakehouse to Observability Platform
Dynatrace today announced it has added a data lakehouse, dubbed Grail, to the Dynatrace Software Intelligence Platform to make it simpler to aggregate all the observability data an IT team collects. Bob Wambach, vice president of product marketing for Dynatrace, said Grail will initially drive analytics of log data but in time will also be […]
The Advent of Intelligent Software Engineering
Today, to maintain competitiveness, every company needs to behave like a software company and deliver new solutions with high velocity, quality and reliability. New features need to be introduced at a rapid pace, but with high-quality expectations. At the same time, deployment releases and operations are getting complex, debugging and traceability in production are increasingly […]
Turbocharge Enterprise Apps With Contextual Analytics
Software product managers and developers typically treat analytics as a standalone capability—something to be integrated into their application’s dashboard or reporting module. As a product feature, analytics is undoubtedly a valuable tool. But offering it merely as a tacked-on function is an approach that lags behind where your users are today. When data analytics is […]
Visualization Shines a Light on IT Metrics
Modern IT departments operate in a pressure cooker. Their highly distributed infrastructures are spread across legacy data centers and hybrid and multiple public clouds. Now, the Internet of Things (IoT) and the edge are part of the mix. Massive amounts of data are flowing through these multifaceted environments, and it falls on IT to make […]
An Analytics Workload is a Critical Data Management Tool
From an organizational perspective, an analytics workload is a way to gain a data-driven business advantage. Analytics workloads can serve a primary objective that translates to an actionable business impact (such as analyzing A/B testing results, understanding user retention or finding anomalies in a flow, for instance) or can serve in a supporting role for […]
DataOps: DevOps Plus Big Data
In traditional DevOps, there are the complimentary forms of development operations (that I call DEVops), and development operations (that I like to call devOPS). Between them they automate the toolchain and bring the people working on getting an application out to users onto the same team—not necessarily the same organizational team, but using their strengths […]
Digital Transformation Strategy? Think Cloud
A few years back companies used innovation and digital transformation mostly to differentiate themselves and to stay competitive. The drastic growth in digital and cloud computing over the last couple of years have changed this mindset. Today, organizations have to be innovative and leverage the latest technologies just to sustain and stay in business. Enterprises […]