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Bring Your Own Cloud (BYOC) vs. Dedicated Hosting at ScaleGrid

Scalegrid

Each of these models is suitable for production deployments and high traffic applications, and are available for all of our supported databases, including MySQL , PostgreSQL , Redis™ and MongoDB® database ( Greenplum® database coming soon). This can result in significant cost savings for high traffic applications.

Cloud 242
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How digital experience monitoring helps deliver business observability

Dynatrace

STM generates traffic that replicates the typical path or behavior of a user on a network to measure performance for example, response times, availability, packet loss, latency, jitter, and other variables). PC, smartphone, server) or virtual (virtual machines, cloud gateways). Endpoints can be physical (i.e.,

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No need to compromise visibility in public clouds with the new Azure services supported by Dynatrace

Dynatrace

In addition to providing visibility for core Azure services like virtual machines, load balancers, databases, and application services, we’re happy to announce support for the following 10 new Azure services, with many more to come soon: Virtual Machines (classic ones). Azure Virtual Network Gateways. Azure Batch.

Azure 147
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Artificial Intelligence in Cloud Computing

Scalegrid

By enabling direct execution of AI algorithms on edge devices, edge computing allows for real-time processing, reduced latency, and offloading processing tasks from the cloud. This results in faster response times and reduced network traffic, enhancing the overall efficiency and effectiveness of cloud services.

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Monitoring Serverless Applications

Dotcom-Montior

Again, the benefit being that the code within your containers or virtual machines is managed by the cloud provider. However, when the time comes for resources to be requested, there can be latency in the time it takes to for that code to start back up. The time it takes between an action and a response is latency.

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Why you should benchmark your database using stored procedures

HammerDB

With a simple example such as this, it would not necessarily be expected for the additional network traffic to be significant between the 2 approaches. The data shows a scripted automated workload running a number of back to back tests each time with an increasing number of virtual users. On MySQL, we saw a 1.5X performance advantage.

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Service level objective examples: 5 SLO examples for faster, more reliable apps

Dynatrace

It aims to provide a reliable platform for users to participate in live or pre-recorded workout sessions, virtual training, or fitness tutorials without interruptions. Note : you might hear the term latency used instead of response time. Both latency and response time are critical to ensure reliability. The Apdex score of 0.85

Traffic 173