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Why applying chaos engineering to data-intensive applications matters

Dynatrace

Stream processing One approach to such a challenging scenario is stream processing, a computing paradigm and software architectural style for data-intensive software systems that emerged to cope with requirements for near real-time processing of massive amounts of data. Recovery time of the throughput metric.

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How Netflix uses eBPF flow logs at scale for network insight

The Netflix TechBlog

Challenges The cloud network infrastructure that Netflix utilizes today consists of AWS services such as VPC, DirectConnect, VPC Peering, Transit Gateways, NAT Gateways, etc and Netflix owned devices. The Flow Exporter also publishes various operational metrics to Atlas. What is BPF?

Network 325
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Enhancing Kubernetes cluster management key to platform engineering success

Dynatrace

“We use AI to optimize the configuration of the software stack,” Doni said, highlighting how Akamas works by taking into account infrastructure and application metrics at the same time to achieve its optimization goals. “Additionally, we are full-stack and goal-oriented. ” For Doni, it’s all about balance.

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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. Every service and component exposes observability data (metrics, logs, and traces) that contains crucial information to drive digital businesses. AI-powered answers and additional context for apps and infrastructure, at scale.

Cloud 256
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Auto-Diagnosis and Remediation in Netflix Data Platform

The Netflix TechBlog

Troubleshooting these problems is not a trivial task and requires collecting logs and metrics from several different systems and analyzing them to identify the root cause. Pensive infrastructure comprises two separate systems to support batch and streaming workloads. Expand Pensive with Machine Learning classifiers.

Big Data 238
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Ensure safe and secure releases at scale by providing Golden Paths

Dynatrace

DevOps practices have been established in the last decade to accomplish this goal and deal with the dynamics of modern, cloud-native software architectures. Such a template should contain a get-started tutorial, sample source-code framework, policy guardrails, CI/CD pipeline, infrastructure-as-code templates, and reference documentation.

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Running the OpenTelemetry demo application with Dynatrace

Dynatrace

OpenTelemetry demo application architecture diagram. Jaeger and Prometheus backends for displaying the collected traces and metrics, but you can easily configure alternative backends. is the custom metrics ingest endpoint that is used by the collector to export metrics. Dynatrace metrics exporter ? DT_API_TOKEN ?is