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Netflix’s Distributed Counter Abstraction

The Netflix TechBlog

Both categories share common requirements, such as high throughput and high availability. Eventually Consistent Global Counter While some users may accept the limitations of a Best-Effort counter, others opt for precise counts, durability and global availability.

Latency 251
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How To Implement Specific Distributed System Patterns Using Spring Boot: Introduction

DZone

Regarding contemporary software architecture, distributed systems have been widely recognized for quite some time as the foundation for applications with high availability, scalability, and reliability goals.

Systems 255
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Ensure safe and secure releases at scale by providing Golden Paths

Dynatrace

Golden Paths for rapid product development Modern software development aims to streamline development and delivery processes to ensure fast releases to the market without violating quality and security standards. The new functionality has already been released and is available for your use.

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Connect Fluentd logs with Dynatrace traces, metrics, and topology data to enhance Kubernetes observability

Dynatrace

While Fluentd solves the challenges of collecting and normalizing Kubernetes events and logs, Kubernetes performance and availability problems can rarely be solved by investigating logs in isolation. Detailed performance analysis for better software architecture and resource allocation. Get started today.

Metrics 245
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Full visibility into your serverless applications with AI-powered Azure Functions monitoring (GA)

Dynatrace

As companies strive to innovate and deliver faster, modern software architecture is evolving at near the speed of light. Dynatrace is thrilled to announce the General Availability of support for both the 2.x Dynatrace news. AI-powered observability and end-to-end tracing of serverless applications.

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

The Netflix TechBlog

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. If your workflow supports parallelism, Metaflow takes advantage of all CPU cores available on your development machine.

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Data privacy by design: How an observability platform protects data security

Dynatrace

Leaders should consider the following when creating end-to-end security architecture to support data security: Non-root mode Automatic signature verification Automatic (and manual as needed) updates Automatic authentication of the environment Plank also noted secure access for data, using single sign-on and IP-based access restrictions.

Design 246