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Best practices and key metrics for improving mobile app performance

Dynatrace

Mobile applications (apps) are an increasingly important channel for reaching customers, but the distributed nature of mobile app platforms and delivery networks can cause performance problems that leave users frustrated, or worse, turning to competitors. Load time and network latency metrics. Minimize network requests.

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Dynatrace supports SnapStart for Lambda as an AWS launch partner

Dynatrace

The new Amazon capability enables customers to improve the startup latency of their functions from several seconds to as low as sub-second (up to 10 times faster) at P99 (the 99th latency percentile). This can cause latency outliers and may lead to a poor end-user experience for latency-sensitive applications.

Lambda 230
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Optimize your environment: Unveiling Dynatrace Hyper-V extension for enhanced performance and efficient troubleshooting

Dynatrace

Firstly, managing virtual networks can be complex as networking in a virtual environment differs significantly from traditional networking. Therefore, they experience how the application code functions and how the application operations depend on the underlying hardware resources and the operating system managed by Hyper-V.

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Managing risk for financial services: The secret to visibility and control during times of volatility

Dynatrace

In summary, the Dynatrace platform enables banks to do the following: Capture any data type: logs, metrics, traces, topology, behavior, code, metadata, network, security, web, and real-user monitoring data, and business events. Maximize performance for high-frequency and low-latency trading strategies. Break down data silos.

Analytics 208
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Dynatrace supports the newly released AWS Lambda Response Streaming

Dynatrace

Customers can use AWS Lambda Response Streaming to improve performance for latency-sensitive applications and return larger payload sizes. Lambda functions allow teams to run code for applications, back-end services, streaming processing, or any layer of the stack with less overhead. Return larger payload sizes.

Lambda 222
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Mastering MongoDB® Timeout Settings

Scalegrid

MongoDB drivers provide several options for Mongo clients to handle different network timeout errors that may occur during usage. For example, your payment history might be on one database cluster and your analytics records on another cluster. Knowing about these types of timeouts is essential for mastering MongoDB usage.

Java 130
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Implementing AWS well-architected pillars with automated workflows

Dynatrace

This is where unified observability and Dynatrace Automations can help by leveraging causal AI and analytics to drive intelligent automation across your multicloud ecosystem. Using an interactive no/low code editor, you can create workflows or configure them as code.

AWS 253