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.

Efficiency 281

Efficiency Performance Analytics DevOps 281

Dynatrace

DECEMBER 27, 2022

By implementing service-level objectives, teams can avoid collecting and checking a huge amount of metrics for each service. When organizations implement SLOs, they can improve software development processes and application performance. The performance SLO needs a custom SLI metric, which you can configure as follows.

Software 269

Software Software Benchmarking Latency 269

Dynatrace

MAY 28, 2020

While Google’s SRE Handbook mostly focuses on the production use case for SLIs/SLOs, Keptn is “Shifting-Left” this approach and using SLIs/SLOs to enforce Quality Gates as part of your progressive delivery process. This will enable deep monitoring of those Java,NET, Node, processes as well as your web servers.

Engineering 195

Engineering Performance Metrics Best Practices 195

O'Reilly

OCTOBER 11, 2022

There seems to be broad agreement that hyperautomation is the combination of Robotic Process Automation with AI. We’ll see it in the processing of the thousands of documents businesses handle every day. We can certainly apply the slogan to many, if not all, clerical tasks–and even to the automation process itself.

Games 114

Games Healthcare Processing Retail 114

Highly Scalable

MARCH 10, 2015

most of them are structured as data scientist manuals focusing on algorithms and methodologies and assume that human decisions play a central role in transforming analytical findings into business actions. This framework will later be used to describe analytical problems in a more uniform way. Predicted share of wallet.

Retail 152

Retail C++ Analytics Metrics 152