Dynatrace
FEBRUARY 12, 2024
In protecting critical data and resources, ZT also establishes continuous multi-factor authentication, micro-segmentation, encryption, endpoint security, automation, and analytics, per the Department of Defense (DoD) Zero Trust Reference Architecture. “In Discover more in the latest ebook.
Dynatrace
FEBRUARY 10, 2023
In what follows, we explore some key cloud observability trends in 2023, such as workflow automation and exploratory analytics. From data lakehouse to an analytics platform Traditionally, to gain true business insight, organizations had to make tradeoffs between accessing quality, real-time data and factors such as data storage costs.
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Dynatrace
APRIL 8, 2024
Power business analytics with Dynatrace Banks that can deploy vertically integrated risk management solutions will deliver unprecedented agility, precision, and control for risk management functions. Combine traditional fraud detection techniques with data science and analytics to combat financial crime more effectively.
Dynatrace
AUGUST 25, 2023
Understanding how dependencies affect application performance positions the team to make better decisions, such as adjusting service architecture or infrastructure to improve application performance or holding third-party vendors accountable for causing performance issues.
Dynatrace
NOVEMBER 22, 2021
Serverless architecture enables organizations to deliver applications more efficiently without the overhead of on-premises infrastructure, which has revolutionized software development. These tools simply can’t provide the observability needed to keep pace with the growing complexity and dynamism of hybrid and multicloud architecture.
Dynatrace
DECEMBER 21, 2023
Evaluating these on three levels—data center, host, and application architecture (plus code)—is helpful. Application architectures might not be conducive to rehosting. For a deeper look into these and many other recommendations, my colleagues and I wrote an eBook about performance and scalability on the topic.
Dynatrace
OCTOBER 14, 2022
As more organizations are moving from monolithic architectures to cloud architectures, the complexity continues to increase. Therefore, organizations are increasingly turning to artificial intelligence and machine learning technologies to get analytical insights from their growing volumes of data.
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