DZone
JANUARY 30, 2024
The evolution of enterprise software engineering has been marked by a series of "less" shifts — from client-server to web and mobile ("client-less"), data center to cloud ("data-center-less"), and app server to serverless.
Dynatrace
JANUARY 19, 2021
With our enhanced AWS Lambda extension , we bring the power of Dynatrace PurePath 4 automatic tracing technology to serverless function observability. across hybrid and multi-cloud environments?. Serverless can accelerate innovation (and introduce blind spots). Dynatrace news. AI-powered answers, provided by?
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Dynatrace
NOVEMBER 22, 2021
Visibility into system activity and behavior has become increasingly critical given organizations’ widespread use of Amazon Web Services (AWS) and other serverless platforms. These challenges make AWS observability a key practice for building and monitoring cloud-native applications. AWS: A service for everything. Amazon EC2.
O'Reilly
NOVEMBER 12, 2019
For the inaugural O’Reilly survey on serverless architecture adoption, we were pleasantly surprised at the high level of response: more than 1,500 respondents from a wide range of locations, companies, and industries participated. The high response rate tells us that serverless is garnering significant mindshare in the community.
Dynatrace
MARCH 6, 2024
” Because of their versatility, teams can use IDPs for all types of software engineering projects, not just those in cloud-native scenarios. “IDPs are not constrained to building microservices or a new serverless app,” Grabner noted.
Dynatrace
JANUARY 23, 2024
Companies now recognize that technologies such as AI and cloud services have become mandatory to compete successfully. AI data analysis can help development teams release software faster and at higher quality. In what follows, we explore these key cloud observability trends in 2024.
Dynatrace
APRIL 20, 2023
With more automated approaches to log monitoring and log analysis, however, organizations can gain visibility into their applications and infrastructure efficiently and with greater precision—even as cloud environments grow. Logs are automatically produced and time-stamped documentation of events relevant to cloud architectures.
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