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Best Practices in Cloud Security Monitoring

Scalegrid

Cloud security monitoring is key—identifying threats in real-time and mitigating risks before they escalate. The automatic nature also allows for quick response times in addressing any identified security concerns making it an ideal solution for effective cloud security monitoring.

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Full visibility into your serverless applications with AI-powered Azure Functions monitoring (GA)

Dynatrace

Despite its benefits, serverless computing introduces additional monitoring challenges for developers and IT Operations, particularly in understanding dependencies and identifying issues in the end-to-end traces that flow through a complex mix of dynamic and hybrid on-premise/cloud environments. Simplify error analytics. So stay tuned!

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Percona Monitoring and Management 2.37: The Improved Inventory View, New Experimental Dashboards for Kubernetes Monitoring, and More!

Percona

We are excited to announce the release of Percona Monitoring and Management (PMM) V2.37 , which includes a revamped Inventory view, new experimental dashboards for Kubernetes monitoring, as well as many other improvements and new features. “ To answer this, we’ve added some monitoring capabilities into the mix.

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Build and operate multicloud FaaS with enhanced, intelligent end-to-end observability

Dynatrace

Data visualization : how to present, explore and interpret observability data from serverless functions intuitively, clearly, and holistically? Connect Dynatrace to your cloud-vendor to gather relevant infrastructure monitoring data, which gives you essential health insights. You can find the complete matrix of our support here.

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What is IT automation?

Dynatrace

Monitoring and logging are fundamental building blocks of observability. When monitoring tools release a stream of alerts, teams can easily identify which ones are false and assess whether an event requires human intervention. Similarly, digital experience monitoring is another ongoing process that lends itself to IT automation.

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Full visibility into your serverless applications with AI-powered Azure Functions monitoring (GA)

Dynatrace

Despite its benefits, serverless computing introduces additional monitoring challenges for developers and IT Operations, particularly in understanding dependencies and identifying issues in the end-to-end traces that flow through a complex mix of dynamic and hybrid on-premise/cloud environments. Simplify error analytics. So stay tuned!

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Flexible, scalable, self-service Kubernetes native observability now in General Availability

Dynatrace

A team looking for metrics, traces, and logs no longer needs to file a ticket to get their app monitored in their own environments. Using this new mode of injection means organizations can take advantage of everything Kubernetes has to offer, without worrying about monitoring outages, or disruptions in service.