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What is serverless computing? Driving efficiency without sacrificing observability

Dynatrace

This allows teams to sidestep much of the cost and time associated with managing hardware, platforms, and operating systems on-premises, while also gaining the flexibility to scale rapidly and efficiently. Performing updates, installing software, and resolving hardware issues requires up to 17 hours of developer time every week.

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Why log monitoring and log analytics matter in a hyperscale world

Dynatrace

Logs can include data about user inputs, system processes, and hardware states. This includes troubleshooting issues with software, services, and applications, and any infrastructure they interact with, such as multicloud platforms, container environments, and data repositories. Optimized system performance. Increased collaboration.

Analytics 198
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What I learned at GlueCon 2023?—?Tipping Points and Generative AI

Adrian Cockcroft

FSD has a sense of purpose, a planning capability, has real time agency and responds to its environment via an ego model, predicting the behavior of pedestrians and other road users, and is being tuned to drive in a very human way, so that other road users interact with it as a predicable normal driver. Tristan Zajonc, CEO of Continual.ai

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Integration Showcase: LoadView & Dynatrace

Dotcom-Montior

EasyTravel demo application on AWS server. Setup Demo App EasyTravel on AWS box. Connect demo application hosted on AWS to Dynatrace. EasyTravel – Demo application from Dynatrace. Setup Demo App EasyTravel on AWS Box. Start Easytravel demo app. Connect demo application hosted on AWS to Dynatrace.

AWS 40
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Understanding Execution Plan Operator Timings

SQL Performance

This can make it difficult to draw sound performance-tuning conclusions. This uses hardware, typically a crystal oscillator, that produces ticks at a very high constant rate regardless of processor speed, power settings, or anything of that nature. SQL Server uses the high-precision QueryPerformanceCounter API to capture timing data.

Servers 95
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Generative AI in the Enterprise

O'Reilly

Even with cloud-based foundation models like GPT-4, which eliminate the need to develop your own model or provide your own infrastructure, fine-tuning a model for any particular use case is still a major undertaking. of users) report that “infrastructure issues” are an issue. We’ll say more about this later.) Which Model?

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Document Model Support in DynamoDB: Flexibility, Availability, Performance, and Scale.Together at last

All Things Distributed

We built DynamoDB as a fully-managed service because we wanted to enable our customers, both internal and external, to focus on their application rather than being distracted by undifferentiated heavy lifting like dealing with hardware and software maintenance. Mars rover image indexing using DynamoDB.