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Three Habits of Highly Effective Observability Teams

DZone

As organizations adopt microservices and containerized architectures, they often realize that they need to rethink their approach to basic operational tasks like security or observability. From a technology perspective, there has been a clear shift to open source standards, especially in the realm of observability.

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Surveying the Tides of Cloud-Native and Open Source Observability

DZone

We can plausibly say the enterprise development market turned the tide on cloud-native development in 2020, as most net-new software and serious overhaul projects started moving toward microservices architectures, with Kubernetes as the preferred platform.

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Observability Architecture: Financial Calculations Example

DZone

In 2020, I presented a series with insights from real implementations adopting open-source and cloud-native technology to modernize payment services. The architectures presented were based on open-source cloud-native technologies, such as containers, microservices, and a Kubernetes-based container platform.

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Scale DevOps and SRE with open source Keptn

Dynatrace

Andreas Grabner, DevOps Activist at Dynatrace, took to the virtual stage at the recent Dynatrace Perform conference to describe how the open source Keptn project automates the configuration of observability tools, dashboards, and alerting based on service-level objectives (SLOs). Limits of scripting for DevOps and SRE.

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

Dynatrace

As a solution, teams often adopt open source observability tools like OpenTelemetry to gain situational awareness of their cloud-native environments. Open source observability tools help address cloud complexity. Companies face many challenges as they deploy modern IT architectures.

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Open Sourcing the Netflix Domain Graph Service Framework: GraphQL for Spring Boot

The Netflix TechBlog

By Paul Bakker and Kavitha Srinivasan , Images by David Simmer , Edited by Greg Burrell Netflix has developed a Domain Graph Service (DGS) framework and it is now open source. Our colleagues wrote a Netflix Tech Blog post describing the details of this architecture. Our framework is battle-hardened by our use at scale.

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Open-Sourcing Metaflow, a Human-Centric Framework for Data Science

The Netflix TechBlog

by David Berg , Ravi Kiran Chirravuri , Romain Cledat , Savin Goyal , Ferras Hamad , Ville Tuulos tl;dr Metaflow is now open-source! The infrastructure should allow them to exercise their freedom as data scientists but it should provide enough guardrails and scaffolding, so they don’t have to worry about software architecture too much.