Dynatrace

MAY 31, 2023

The practice uses continuous monitoring and high levels of automation in close collaboration with agile development teams to ensure applications are highly available and perform without friction. The growing amount of data processed at the network edge, where failures are more difficult to prevent, magnifies complexity.

Best Practices 223

Best Practices DevOps Latency Metrics 223

Dynatrace

DECEMBER 27, 2022

When organizations implement SLOs, they can improve software development processes and application performance. Stable, well-calibrated SLOs pave the way for teams to automate additional processes and testing throughout the software delivery lifecycle. Best practices for implementing service-level objectives.

Software 263

Software Software Benchmarking Latency 263

Dynatrace

MAY 19, 2022

However, many teams struggle with knowing which ones to use and how to incorporate them into the processes. Below, several Dynatrace customers shared their SLO management journey and discussed the resulting dashboards they rely on daily to manage their mission-critical business processes and applications. What are SLOs?

Automotive 270

Automotive Latency Architecture Azure 270

Dynatrace

FEBRUARY 10, 2023

Grail, the Dynatrace causational data lakehouse with a massively parallel processing analytics engine, unites observability, security, and business data from multicloud and cloud-native environments while retaining the data’s context to deliver precise answers in real time. What is a data lakehouse?

Efficiency 276

Efficiency Performance Analytics DevOps 276

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 116

Games Healthcare Processing Retail 116