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Queuing Theory for Software Engineers

DZone

Not being familiar with the basics of queuing theory will prevent you from understanding the relations between latency and throughput , high-level capacity estimations, and workload optimization. I'll list some of the technology usages of queues without even thinking about it. Queues Are Everywhere!

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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.

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

Dynatrace

Managing these risks involves using a range of technology solutions, from in-house, do-it-yourself solutions to third-party, software-as-a-service (SaaS) solutions. Mission-critical risks in banking Dynatrace brings a flexible, easy-to-implement, and vertically integrated technology solution to risk management for banks.

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Enhancing Kubernetes cluster management key to platform engineering success

Dynatrace

As organizations continue to modernize their technology stacks, many turn to Kubernetes , an open source container orchestration system for automating software deployment, scaling, and management. You can ask for the best configuration to reduce latency or improve the user experience.” It’s not just a cost-reduction tool.

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Enhanced AI model observability with Dynatrace and Traceloop OpenLLMetry

Dynatrace

Dynatrace OneAgent® is perfectly capable of automatically injecting and tracing code-level information for many technologies, such as Java,NET, Golang, and NodeJS. While Dynatrace automates tracing for various technologies, Python-based AI models require OpenTelemetry. However, Python models are trickier.

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Dynatrace automatically monitors OpenAI ChatGPT for companies that deliver reliable, cost-effective services powered by generative AI

Dynatrace

One of the crucial success factors for delivering cost-efficient and high-quality AI-agent services, following the approach described above, is to closely observe their cost, latency, and reliability. With these latency, reliability, and cost measurements in place, your operations team can now define their own OpenAI dashboards and SLOs.

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Migrating Critical Traffic At Scale with No Downtime?—?Part 1

The Netflix TechBlog

It provides a good read on the availability and latency ranges under different production conditions. The upstream service calls the existing and new replacement services concurrently to minimize any latency increase on the production path. Logging is selective to cases where the old and new responses do not match.

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