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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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Dynatrace extends automatic and intelligent observability to cloud and Kubernetes logs for smarter automation at scale

Dynatrace

Also, these modern, cloud-native architectures produce an immense volume, velocity, and variety of data. Organizations struggle to effectively use logs for monitoring business-critical data and troubleshooting. Organizations struggle to effectively use logs for monitoring business-critical data and troubleshooting.

Cloud 258
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How Netflix uses eBPF flow logs at scale for network insight

The Netflix TechBlog

Cloud Network Insight is a suite of solutions that provides both operational and analytical insight into the cloud network infrastructure to address the identified problems. After several iterations of the architecture and some tuning, the solution has proven to be able to scale. What is BPF?

Network 325
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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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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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Improve user experience with more visibility into CDN-related HTTP errors (Part 1) 

Dynatrace

Modern web applications rely heavily on Content Delivery Networks (CDNs) and 3rd-party integrations (for example, web analytics, tag managers, chat bots, A/B testing tools, ad providers, and more). How to analyze issues with enhanced Dynatrace HTTP error monitoring and troubleshooting. Dynatrace news.

Tuning 186
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Auto-Diagnosis and Remediation in Netflix Data Platform

The Netflix TechBlog

Batch Pensive Batch Pensive Architecture Batch workflows in the data platform run using a Scheduler service that launches containers on the Netflix container management platform called Titus to run workflow steps. One example where it can dramatically help is Spark jobs, where memory tuning is a significant challenge.

Big Data 238