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AIOps observability adoption ascends in healthcare

Dynatrace

AIOps (or “AI for IT operations”) uses artificial intelligence so that big data can help IT teams work faster and more effectively. Gartner introduced the concept of AIOps in 2016. This has granted the speed and agility to accelerate innovation and bring new rewards to its members more frequently.

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RSA Guide 2023: Cloud application security remains core challenge for organizations

Dynatrace

As digital transformation escalates, vulnerabilities are increasing as well, by more than 290% since 2016. As a result, organizations need to be vigilant in identifying and addressing vulnerabilities to protect their systems and data. As organizations develop new applications, vulnerabilities will continue to emerge.

Cloud 180
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Web Performance Bookshelf

Rigor

Take, for example, The Web Almanac , the golden collection of Big Data combined with the collective intelligence from most of the authors listed below, brilliantly spearheaded by Google’s @rick_viscomi. Site speed & SEO go hand in hand. Speed Up Your Site. Web Performance In Action. Designing for Performance.

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World’s Top Web Performance Leaders To Watch

Rigor

list of those who are making a significant impact on speeding up the web today. Follow him on Twitter @ RickByers and be sure to watch the video of his conversation at Chrome Dev Summit 2016 , where he discussed the ways Chrome is “improving predictability for developers.” Here is our (ever-growing!) Rachel Andrew.

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Path to NoOps part 1: How modern AIOps brings NoOps within reach

Dynatrace

“AIOps platforms address IT leaders’ need for operations support by combining big data and machine learning functionality to analyze the ever-increasing volume, variety and velocity of data generated by IT in response to digital transformation.” – Gartner Market Guide for AIOps platforms.

DevOps 210
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Expanding the AWS Cloud – Introducing the AWS Europe (Stockholm) Region

All Things Distributed

The first platform is a real time, big data platform being used for analyzing traffic usage patterns to identify congestion and connectivity issues. The second platform is a managed IoT cloud with customer-facing applications and data management, which went live in 2016.

AWS 124