Topic: io
Logz.io adds automated Anomaly Detection to App 360 platform
The observability platform Logz.io announced a new feature in its App 360 platform called Anomaly Detection, which provides automated alerts for problems in services and microservices. It works by monitoring service latency and error ratios in order to detect abnormal patterns. Admins can customize how sensitive they want the anomaly detector to be, from low, … continue reading
6 trends that will have an impact on I&O in 2024, according to Gartner
Gartner is kicking off its IT Infrastructure, Operations & Cloud Strategies conference by revealing the top six trends it believes will have an impact on infrastructure and operations (I&O) in the next 12 to 18 months. “I&O leaders have little time, skills and budget to track emerging trends and the full impact of those on … continue reading
Take an agile approach to infrastructure
Infrastructure and operations (I&O) leaders are under huge pressure to improve agility to accelerate product delivery and strengthen alignment between IT and the business. However, little guidance exists about what it means for I&O to become agile, as most existing literature around agile is aimed at development groups. Here is where the difference between becoming … continue reading
Gartner’s top 10 technologies driving the future of I&O
Gartner has released predictions on 10 technologies it believes will drive the future of infrastructure and operations (I&O) in the next few years. “To succeed in the digital business era, innovation leaders need to drive ‘creative destruction,’ often willing to fundamentally rethink the technology architecture, deployment environment and operating models. We have analyzed many transformative … continue reading
Analyst View: What edge computing means for I&O
Many digital business projects create data that can be processed more efficiently when the computing power is close to the thing or person generating it. Edge computing solutions address this need for localized computing power. Gartner defines edge computing as solutions that facilitate data processing at or near the source of data generation. For example, in the context of … continue reading
