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

Dynatrace

For busy site reliability engineers, ensuring system reliability, scalability, and overall health is an imperative that’s getting harder to achieve in ever-expanding, cloud-native, container-based environments. To get a more granular look into telemetry data, many analysts rely on custom metrics using Prometheus.

Metrics 178
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How observability, application security, and AI enhance DevOps and platform engineering maturity

Dynatrace

DevOps and platform engineering are essential disciplines that provide immense value in the realm of cloud-native technology and software delivery. Observability of applications and infrastructure serves as a critical foundation for DevOps and platform engineering, offering a comprehensive view into system performance and behavior.

DevOps 190
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What is platform engineering?

Dynatrace

In response to this shift, platform engineering is growing in popularity. The practice of platform engineering has evolved alongside the increasing complexity of cloud environments. The result is a cloud-native approach to software delivery. Why is platform engineering important?

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Stream logs to Dynatrace with Amazon Data Firehose to boost your cloud-native journey

Dynatrace

Real-time streaming needs real-time analytics As enterprises move their workloads to cloud service providers like Amazon Web Services, the complexity of observing their workloads increases. Log data—the most verbose form of observability data, complementing other standardized signals like metrics and traces—is especially critical.

Cloud 217
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Enhancing Kubernetes cluster management key to platform engineering success

Dynatrace

While Kubernetes is often considered the operating system of the cloud, the scale and complexity of Kubernetes cluster deployments are creating new challenges for IT teams. Five of the most common include cluster instability, resource and cost management, security, observability, and stress on engineering teams.

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Using QuestDB to Collect Infrastructure Metrics

DZone

In my life as a cloud engineer, I deal with time series metrics all the time. Unfortunately, many of today’s popular metrics databases don’t support the SQL query language. Combined with QuestDB’s custom SQL extensions, its built-in SQL support makes writing complex queries a breeze.

Metrics 124
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Dynatrace and Google unleash cloud-native observability for GKE Autopilot

Dynatrace

Cloud-native observability for Google’s fully managed GKE Autopilot clusters demands new methods of gathering metrics, traces, and logs for workloads, pods, and containers to enable better accessibility for operations teams. These CSI pods provide a unique way of solving a handful of infrastructure problems.

Google 219