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How platform engineering and IDP observability can accelerate developer velocity

Dynatrace

As a result, teams can focus on writing code and building features rather than dealing with infrastructure nuances. They shouldn’t worry about the platform; they should just start writing code.” “That means making it available, resilient, and secure,” Grabner said. “It makes them more productive.

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IT modernization improves public health services at state human services agencies

Dynatrace

Upgrades and modifications, if available, are complex and expensive, so it isn’t easy to keep them secure and functional. Keeping the app working often requires the services of staff with institutional memory to rewrite and update code bases.

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Radically speed up your code by fixing slow or frequent garbage collection

Dynatrace

— Excerpt from How Garbage Collection works in the Dynatrace Performance eBook) . It prevents your application from fully leveraging the available CPU. Optimize your code by finding and fixing the root cause of garbage collection problems. Any significant reduction in allocations will inevitably speed up your code.

Speed 165
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Sustainable IT: Optimize your hybrid-cloud carbon footprint

Dynatrace

Evaluating these on three levels—data center, host, and application architecture (plus code)—is helpful. From here, it’s time to consider the next level of energy optimization, green coding. Level 3: Green coding The topic of carbon reduction in data centers was new to me when I began digging into it just two years ago.

Cloud 214
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Protecting critical infrastructure and services: Ensure efficient, accurate information delivery this election year

Dynatrace

Application performance monitoring is insufficient without observability Application performance monitoring (APM) allows IT to ensure system availability, optimize service performance and response times, and improve user experiences at the scale of modern computing.

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DevOps monitoring tools: How to drive DevOps efficiency

Dynatrace

Application performance monitoring Application performance monitoring tracks the availability and performance of applications in the field. It examines metrics like response times, application programming interface availability, and page load times to flag problems that affect the user experience.

DevOps 225
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Privacy controls and barriers to session replay

Dynatrace

Teams use this data to identify, analyze, and fix coding errors, UX/UI design, microservices, and other technical issues to improve usability and provide a better digital customer experience. Other available data privacy settings and configurations to look for include: Masking sensitive information by default, like IP addresses.

Analytics 197