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Why applying chaos engineering to data-intensive applications matters

Dynatrace

The jobs executing such workloads are usually required to operate indefinitely on unbounded streams of continuous data and exhibit heterogeneous modes of failure as they run over long periods. We designed experimental scenarios inspired by chaos engineering. Chaos scenario: Random pods executing worker instances are deleted.

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What is an open ecosystem? How an ecosystem strategy delivers open source benefits

Dynatrace

Today’s organizations are constantly enhancing their systems and services as new opportunities arise, inspiring new forms of collaboration while relying on open ecosystems and open source software. To realize the benefits of open ecosystems, organizations must plan for ecosystem-level observability.

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Using OpenTelemetry and AI-powered observability to eliminate open source data silos

Dynatrace

Although many companies adopt solutions such as OpenTelemetry, Prometheus, and Grafana as part of their observability strategy, they often confront a common data analysis problem: data silos. When teams, tools, and data are siloed, it’s harder for organizations to succeed. This leads to multiple tool-specific dashboards.

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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.

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Enhance data collection with Dynatrace OpenTelemetry Collector distribution

Dynatrace

As organizations strive for observability and data democratization, OpenTelemetry emerges as a key technology to create and transfer observability data. This collector, fully supported and maintained by Dynatrace, is entirely open source. A collector helps developers control their telemetry data streams for each signal.

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How platform engineering and IDP observability can accelerate developer velocity

Dynatrace

As organizations look to expand DevOps maturity, improve operational efficiency, and increase developer velocity, they are embracing platform engineering as a key driver. The pair showed how to track factors including developer velocity, platform adoption, DevOps research and assessment metrics, security, and operational costs.

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Enhancing Kubernetes cluster management key to platform engineering success

Dynatrace

As organizations continue to modernize their technology stacks, many turn to Kubernetes , an open source container orchestration system for automating software deployment, scaling, and management. Five of the most common include cluster instability, resource and cost management, security, observability, and stress on engineering teams.