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Distributed Network Service for Users Activity Limiting (Part 1)

DZone

Quality metrics contain: The ratio of successfully processed requests. Distribution of processing time between requests. But what is the metric that shows service hardware monopolization by a group of users? One group of these metrics is service quality. Number of requests dependent curves.

Network 246
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Optimize your environment: Unveiling Dynatrace Hyper-V extension for enhanced performance and efficient troubleshooting

Dynatrace

Hyper-V plays a vital role in ensuring the reliable operations of data centers that are based on Microsoft platforms. It enables multiple operating systems to run simultaneously on the same physical hardware and integrates closely with Windows-hosted services. This leads to a more efficient and streamlined experience for users.

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Key Advantages of DBMS for Efficient Data Management

Scalegrid

Enhanced data security, better data integrity, and efficient access to information. This article cuts through the complexity to showcase the tangible benefits of DBMS, equipping you with the knowledge to make informed decisions about your data management strategies. What are the key advantages of DBMS?

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Dynatrace SaaS on Azure now Generally Available

Dynatrace

Additional benefits of Dynatrace SaaS on Azure include: No infrastructure investment : Dynatrace manages the infrastructure for you, including automatic visibility, problem detection, and smart alerting across virtual networks, virtual infrastructure, and container orchestration.

Azure 317
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What is ITOps? Why IT operations is more crucial than ever in a multicloud world

Dynatrace

Complex cloud computing environments are increasingly replacing traditional data centers. In fact, Gartner estimates that 80% of enterprises will shut down their on-premises data centers by 2025. So, what is ITOps? The primary goal of ITOps is to provide a high-performing, consistent IT environment. Why is IT operations important?

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In-Stream Big Data Processing

Highly Scalable

The shortcomings and drawbacks of batch-oriented data processing were widely recognized by the Big Data community quite a long time ago. It became clear that real-time query processing and in-stream processing is the immediate need in many practical applications. Modularity and flexibility.

Big Data 154
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Kubernetes And Kernel Panics

The Netflix TechBlog

Once that happens a GC process deletes the pod. ", Just making a place to put this data is a great start. Now all we have to do is make our GC controllers aware of this annotation, and then sprinkle it into any process that could potentially make a pod or node go away unexpectedly. No need to wait for any GC process.

Hardware 228