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How Netflix uses eBPF flow logs at scale for network insight

The Netflix TechBlog

By Alok Tiagi , Hariharan Ananthakrishnan , Ivan Porto Carrero and Keerti Lakshminarayan Netflix has developed a network observability sidecar called Flow Exporter that uses eBPF tracepoints to capture TCP flows at near real time. Without having network visibility, it’s difficult to improve our reliability, security and capacity posture.

Network 325
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Bring syslog into Dynatrace using OpenTelemetry to get open source value with enterprise support

Dynatrace

Getting insights into the health and disruptions of your networking or infrastructure is fundamental to enterprise observability. Even for a supported component, delivering logs from applications and infrastructure to DevSecBizOps workflows requires significant manual configuration.

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Why log monitoring and log analytics matter in a hyperscale world

Dynatrace

Log monitoring, log analysis, and log analytics are more important than ever as organizations adopt more cloud-native technologies, containers, and microservices-based architectures. A log is a detailed, timestamped record of an event generated by an operating system, computing environment, application, server, or network device.

Analytics 209
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Accelerate your cloud journey with Dynatrace observability for AWS S3 logs

Dynatrace

Most importantly, it’s impossible to establish relationships between infrastructure and application events, business impact, and real user events. Ingest logs from AWS S3 with one forwarder Dynatrace now has a solution for forwarding logs from AWS S3 to its industry-leading log analysis platform, providing enterprise-level support.

AWS 199
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Best Practices in Cloud Security Monitoring

Scalegrid

This article strips away the complexities, walking you through best practices, top tools, and strategies you’ll need for a well-defended cloud infrastructure. Cloud security monitoring is key—identifying threats in real-time and mitigating risks before they escalate.

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Kubernetes vs Docker: What’s the difference?

Dynatrace

Think of containers as the packaging for microservices that separate the content from its environment – the underlying operating system and infrastructure. For a deeper look into how to gain end-to-end observability into Kubernetes environments, tune into the on-demand webinar Harness the Power of Kubernetes Observability. Networking.

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Observability engineering: Getting Prometheus metrics right for Kubernetes with Dynatrace and Kepler

Dynatrace

This challenge has given rise to the discipline of observability engineering, which concentrates on the details of telemetry data to fine-tune observability use cases. This covers the infrastructure, processes, and the application stack, including tracing, profiling, and logs. Observability engineering success!

Metrics 178