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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. Customized security measures tailored to the specific architecture and workloads of each organization’s cloud infrastructure can effectively protect data from potential threats or vulnerabilities.

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

Dynatrace

As companies strive to innovate and deliver faster, modern software architecture is evolving at near the speed of light. It allows for the breaking up of heavy monolithic architectures into multiple serverless “functions.” Understand and optimize your architecture. Monitor your serverless applications with just two clicks.

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

Dynatrace

As companies strive to innovate and deliver faster, modern software architecture is evolving at near the speed of light. It allows for the breaking up of heavy monolithic architectures into multiple serverless “functions.” Understand and optimize your architecture. Monitor your serverless applications with just two clicks.

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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. This is why we’ve added the Monitoring column. Stay tuned!

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Reinventing Performance Testing: New Architectures

Alex Podelko

New Architectures (this post). Cloud seriously impacts system architectures that has a lot of performance-related consequences. From one side, it makes it easier to monitor and update / rollback systems that lowers performance-related risks. The dynamic architectures represent a major challenge for both monitoring and analysis.

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Efficient SLO event integration powers successful AIOps

Dynatrace

For instance, consider how fine-tuned failure rate detection can provide insights for comprehensive understanding. Please refer to How to fine-tune failure detection (dynatrace.com) for further information. Let’s assume we created a service-availability SLO, monitoring the request failure count against the overall request counts.

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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.