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Building Netflix’s Distributed Tracing Infrastructure

The Netflix TechBlog

Now let’s look at how we designed the tracing infrastructure that powers Edgar. This insight led us to build Edgar: a distributed tracing infrastructure and user experience. We chose Open-Zipkin because it had better integrations with our Spring Boot based Java runtime environment.

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What is infrastructure as code? Discover the basics, benefits, and best practices

Dynatrace

.” While this methodology extends to every layer of the IT stack, infrastructure as code (IAC) is the most prominent example. Here, we’ll tackle the basics, benefits, and best practices of IAC, as well as choosing infrastructure-as-code tools for your organization. What is infrastructure as code? Consistency.

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RabbitMQ vs. Kafka: Key Differences

Scalegrid

RabbitMQ is designed for flexible routing and message reliability, while Kafka handles high-throughput event streaming and real-time data processing. Its design prioritizes high availability and efficient data transfer with minimal overhead, making it a practical choice for handling real-time data pipelines and distributed event processing.

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Simplify log onboarding: From zero to observability in minutes

Dynatrace

This blog post explains how Dynatrace simplifies log ingestion, whether youre onboarding logs from your infrastructure using OneAgent, cloud services using log forwarding, or driving open-source standardization leveraging OpenTelemetry (OTel), Fluent Bit, or any other API-based ingestion methods. The API-based approach is the most flexible.

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

The Netflix TechBlog

By open-sourcing the project, we hope to contribute to the Java and GraphQL communities and learn from and collaborate with everyone who will be using the framework to make it even better in the future. The transition to the new federated architecture meant that many of our backend teams needed to adopt GraphQL in our Java ecosystem.

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Understand and optimize performance across your entire SAP ecosystem with Dynatrace SAP monitoring

Dynatrace

This means that you should ask the following: Does your monitoring solution work with SAP both on-premise and within cloud infrastructure ? Do you provide support for application technologies from ABAP through Java to HANA ? Get AI-powered answers about your SAP infrastructure across cloud-native and hybrid environments.

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InfoSec 2022 guide: How DevSecOps practices drive organizational resilience

Dynatrace

They can develop software applications rapidly and gain access to extensible cloud resources without having to sink costs into IT plumbing or managing this infrastructure themselves. Spring4Shell: Detect and mitigate new zero-day vulnerabilities in the Java Spring Framework – blog. DevSecOps: Security by design.