2022 Analytics Big Data Innovation 
Dynatrace
FEBRUARY 16, 2023
As teams try to gain insight into this data deluge, they have to balance the need for speed, data fidelity, and scale with capacity constraints and cost. To solve this problem, Dynatrace launched Grail, its causational data lakehouse , in 2022. Logs on Grail Log data is foundational for any IT analytics.
Dynatrace
OCTOBER 4, 2022
Log management and analytics is an essential part of any organization’s infrastructure, and it’s no secret the industry has suffered from a shortage of innovation for several years. Several pain points have made it difficult for organizations to manage their data efficiently and create actual value. What’s next for Grail?
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Dynatrace
APRIL 11, 2023
The CVE Program, which publishes vulnerabilities as they become known, reported a 25% increase in vulnerabilities between 2021 and 2022. For example, in a recent study , 55% of security teams say they don’t trust developers, and 49% of developers perceive security teams as a blocker to innovation.
Dynatrace
OCTOBER 25, 2022
The need for developers and innovation is now even greater. Organizations would still need a skeletal staff that can focus on innovation and oversee exception-based operations. By greatly reducing the effort required by the operations side of the equation, teams have more time to innovate and optimize processes.
Dynatrace
MARCH 24, 2023
Within every industry, organizations are accelerating efforts to modernize IT capabilities that increase agility, reduce complexity, and foster innovation. According to the Cloud Native Computing Foundation’s 2022 Cloud Native Survey , nearly 80% of organizations use containers in at least some production environments.
Dynatrace
JULY 5, 2022
AIOps combines big data and machine learning to automate key IT operations processes, including anomaly detection and identification, event correlation, and root-cause analysis. Increased business innovation. But first, let’s start with a better understanding of what AIOps is, how it works, and its value to organizations.
Testsigma
FEBRUARY 12, 2021
From AI to ML, the shifting technology world is constantly innovating and making significant progress. Machine Learning (ML) and Artificial Intelligence (AI) programme testing and QA teams will develop their automatic research techniques, keeping track with recurring updates — with the assistance of analytics and monitoring.
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