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10 Help Desk Metrics to Track for Maximum Efficiency

Kaseya

These requests could be as simple as resetting a password or as complex as deploying a complete network architecture. What are help desk metrics? IT technicians use several metrics to track help desk performance and ensure that it remains productive, efficient and operates at its best capacity. Metrics drive KPIs.

Metrics 59
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Introduction to Kubernetes Event-Driven Auto-Scaling (KEDA)

Dzone - DevOps

For example, it's difficult for HPA to scale back the number of pods to zero or (de)scale pods based on metrics other than memory or CPU usage. KEDA architecture and components KEDA installation and demo Integrate KEDA in CI/CD pipelines What Is KEDA?

Metrics 98
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Monitoring Cloudera DataFlow Deployments With Prometheus and Grafana

Cloudera

Many organizations have invested in central monitoring and observability tools such as Prometheus and Grafana and are looking for ways to integrate key data flow metrics into their existing architecture. In our case, these are NiFi metrics of our flow deployment. In our case, these are NiFi metrics of our flow deployment.

Metrics 108
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Build a generative AI assistant to enhance employee experience using Amazon Q Business

AWS Machine Learning - AI

Sample application architecture The following figure shows a sample application architecture. Application architecture walkthrough Before you begin to create an Amazon Q Business application environment, make sure that you complete the setting up tasks and review the Before you begin section.

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Xpirit Innovation Day in Antwerp: March 2022

Xebia

When you inject chaos in to your infrastructure, you quickly come to realize that you need metrics. Without metrics, you are blind. IoT Demo – Bas, Kees, Sander, Tijmen, Matthijs, Olena, Arjan With a large group of people we were able to attack the full chain of an Azure IoT Hub based solution.

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Announcing Complete Azure Observability for Kentik Cloud

Kentik

We designed this new map specifically around Azure hybrid cloud architectural patterns in response to the needs of some of our largest enterprise customers. It includes rich metrics for understanding the volume, path, business context, and performance of flows traveling through Azure network infrastructure.

Azure 105
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Bringing fresh capabilities for Legal research and applications with Legal NLP

John Snow Labs

The architecture is based on Word2Vec, which provides the best tradeoff between representation capabilities and speed, allowing for fast and accurate models built on top of it (e.g., Don’t forget to check our notebooks and demos. NER, Relation Extraction). setInputColumns(["sentence", "token"]).setOutputColumn("word_embedding")