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The keys to selecting a platform for end-to-end observability

Dynatrace

See into cloud blind spots Versatile, feature-rich cloud computing environments such as Amazon Web Services, Microsoft Azure, and Google Cloud Platform have been a game-changer, enabling DevOps teams to deliver greater capabilities on a wider scale.

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Dynatrace Perform 2022 delivers software intelligence as code, real-time attack blocking

Dynatrace

Modern observability that helps teams securely regain control of complex, dynamic, ever-expanding cloud environments can be game-changing. At Dynatrace Perform 2022 in February, the theme was “Empowering the game changers.”. Dynatrace Delivers Software Intelligence as Code.

Code 246
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How Park ‘N Fly eliminated silos and improved customer experience with Dynatrace cloud monitoring

Dynatrace

But your infrastructure teams don’t see any issue on their AWS or Azure monitoring tools, your platform team doesn’t see anything too concerning in Kubernetes logging, and your apps team says there are green lights across the board. The blame game. So, what happens next?

Cloud 229
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Cloud observability delivers on business value

Dynatrace

Organizations have clearly experienced growth, agility, and innovation as they move to cloud computing architecture. Ultimately, cloud observability helps organizations to develop and run “software that works perfectly,” said Dynatrace CEO Rick McConnell during a keynote at the company’s Innovate conference in Săo Paulo in late August.

Cloud 246
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Modernize cloud operations to transform the way you work

Dynatrace

But modern cloud infrastructure is large, complex, and dynamic — and over time, this cloud complexity can impede innovation. However, shifting from reactive to proactive cloud operations helps organizations stay ahead of the game. Development teams can innovate faster with higher quality.

Cloud 245
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Getting ready! A taste of what’s to come at Perform 2020’s “Release Better Software Faster” track

Dynatrace

Let’s take a look at two key indicators from our 2018 Dynatrace ACM Survey: MTTI (Mean Time to Innovate): How long does it take to push a new feature that is fully tested, ready to go to production, until end-users receive it? A game-changing two days of enhancing business and IT performance.

DevOps 47
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Kubernetes vs Docker: What’s the difference?

Dynatrace

Containers are the key technical enablers for tremendously accelerated deployment and innovation cycles. The time and effort saved with testing and deployment are a game-changer for DevOps. Docker, their respective core domains, and some of the challenges involved in both technologies, like observability. But first, some background.