Dynatrace
APRIL 30, 2021
Many organizations that have integrated their software development and operations into DevOps practices struggle with efficiency because they’re juggling disparate DevOps tools, or their tools aren’t meeting their needs. The status quo of the DevOps toolchain. Buchanan urges teams to consider where time is spent.
Dynatrace
OCTOBER 23, 2023
This is especially true as organizations rely more on diverse and nimble cloud-native and open source technologies. Since 2015, the Soldo business spend management platform has provided companies with a simple and efficient way to better spend and control company money. Because you can’t recover everything in a moment.”
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Dynatrace
APRIL 19, 2021
Dynatrace scored highest across 4 of 5 use cases, DevOps/AppDev, SRE/CloudOps, IT Operations, and Digital Experience Monitoring, and second highest in the Application Owner/Line of Business use case. We anticipated the industry’s move to dynamic multicloud environments and DevOps processes.
Dynatrace
APRIL 28, 2020
Also , in a field of fifteen vendors analy z ed by Gartner, Dynatrace received the highest scores in five of six critical capabilities use cases: CloudOps, DevOps Release, IT Operations, Application Support, and Application Development. . Before 2015, Dynatrace was listed as Compuware.
Dynatrace
APRIL 19, 2021
Dynatrace scored highest across 4 of 5 use cases, DevOps/AppDev, SRE/CloudOps, IT Operations, and Digital Experience Monitoring, and second highest in the Application Owner/Line of Business use case. We anticipated the industry’s move to dynamic multicloud environments and DevOps processes.
Dynatrace
APRIL 5, 2021
As early as 2015, the Canadian Broadcasting corporation used Azure App Services, the managed platform for building web apps, to scale its real-time election-night website to handle requests from millions of users. The growth of Azure cloud computing. Consider using virtual machines or specialized frameworks for these types of tasks.
Dynatrace
DECEMBER 22, 2021
As applications have become more complex, observability tools have adapted to meet the needs of developers and DevOps teams. But by 2015, it was more common to split up monolithic applications into distributed systems. This was sufficient for monolithic applications, which were common at the time.
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