Dynatrace
JULY 14, 2022
As federal agencies implement zero trust (ZT) as directed by the White House “Executive Order on Improving the Nation’s Cybersecurity,” there’s growing concern that zero trust architecture and great user experiences can’t coexist. I filled out a form, input my government ID information, and waited for a confirmation code that never came.
Dynatrace
APRIL 21, 2023
The team can “catch more bugs and performance problems before the code is deployed to the production environment,” Smith said. State agencies measurably reduce outage severity and costs In the event of a performance problem, observability can reduce MTTR. Dynatrace truly helps us do more with less. Register to listen to the webinar.
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Dynatrace
JANUARY 4, 2024
It starts with implementing data governance practices, which set standards and policies for data use and management in areas such as quality, security, compliance, storage, stewardship, and integration. Modern, cloud-native architectures have many moving parts, and identifying them all is a daunting task with human effort alone.
Dynatrace
JANUARY 22, 2024
Software developers can use causal analysis to identify the root causes of bugs or application performance issues and to predict potential system failures or performance degradations. Government. Government agencies can learn from cause-and-effect relationships to make more evidence-based policy decisions.
Dynatrace
AUGUST 25, 2023
The pandemic has transformed how government agencies such as Health and Human Services (HHS) operate. Proactively manage app performance and reliability For HHS, system performance is mission-critical for program areas within the state’s safety net.
Dynatrace
MAY 2, 2024
As more organizations adopt generative AI and cloud-native technologies, IT teams confront more challenges with securing their high-performing cloud applications in the face of expanding attack surfaces. But only 21% said their organizations have established policies governing employees’ use of generative AI technologies.
DZone
JULY 29, 2019
In today's world, data is generated in high volumes and to make something out of it, extracted data is needed to be transformed, stored, maintained, governed and analyzed. These processes are only possible with a distributed architecture and parallel processing mechanisms that Big Data tools are based on.
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