Remove Latency Remove Servers Remove Traffic Remove Virtualization
article thumbnail

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.,

article thumbnail

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
Insiders

Sign Up for our Newsletter

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

Trending Sources

article thumbnail

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 148
article thumbnail

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.

article thumbnail

Monitoring Serverless Applications

Dotcom-Montior

Well, to start, serverless, or serverless computing , doesn’t really mean there aren’t servers involved, because there are, rather it refers to the fact that the responsibility of having to manage, scale, provision, maintain, etc., Applications that are running continuously on a dedicated server aren’t as impacted by latency issues.

article thumbnail

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.

article thumbnail

The Need for Real-Time Device Tracking

ScaleOut Software

If a cyber network agent has observed an unusual pattern of failed login attempts, it needs to alert downstream network nodes (servers and routers) to block the kill chain in a potential attack. A New Approach: Real-Time Device Tracking. Conventional streaming analytics architectures have not kept up with the growing demands of IoT.

IoT 78