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Dynatrace accelerates business transformation with new AI observability solution

Dynatrace

It requires specialized talent, a new technology stack to manage and deploy models, an ample budget for rising compute costs, and end-to-end security. For production models, this provides observability of service-level agreement (SLA) performance metrics, such as token consumption, latency, availability, response time, and error count.

Cache 204
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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 225
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Designing Instagram

High Scalability

When a user requests for feed then there will be two parallel threads involved in fetching the user feeds to optimize for latency. We can use cloud technologies such as Amazon Kinesis or Azure Stream Analytics for collecting, processing, and analyzing real-time, streaming data to get timely insights and react quickly to new information(e.g.

Design 334
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The Power of Integrated Analytics Within an IMDG

ScaleOut Software

ScaleOut StateServer® Pro Adds Analytics to In-Memory Data Grids . For more than fifteen years, ScaleOut StateServer® has demonstrated technology leadership as an in-memory data grid (IMDG) and distributed cache. Take a look at how integrated data analytics can help client applications.

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The Power of Integrated Analytics Within an IMDG

ScaleOut Software

ScaleOut StateServer® Pro Adds Analytics to In-Memory Data Grids . For more than fifteen years, ScaleOut StateServer® has demonstrated technology leadership as an in-memory data grid (IMDG) and distributed cache. Take a look at how integrated data analytics can help client applications.

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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. Workflows are powered by a core platform technology of Dynatrace called the AutomationEngine.

AWS 246
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Redis® Monitoring Strategies for 2024

Scalegrid

Identifying key Redis® metrics such as latency, CPU usage, and memory metrics is crucial for effective Redis monitoring. To monitor Redis® instances effectively, collect Redis metrics focusing on cache hit ratio, memory allocated, and latency threshold.

Strategy 130