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Dynatrace OpenPipeline: Stream processing data ingestion converges observability, security, and business data at massive scale for analytics and automation in context

Dynatrace

With siloed data sources, heterogeneous data types—including metrics, traces, logs, user behavior, business events, vulnerabilities, threats, lifecycle events, and more—and increasing tool sprawl, it’s next to impossible to offer users real-time access to data in a unified, contextualized view. Understanding the context.

Analytics 194
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What is? OpenTelemetry??An open-source standard for logs, metrics, and traces

Dynatrace

Loosely defined, observability is the ability to understand what’s happening inside a system from the knowledge of the external data it produces, which are usually logs, metrics, and traces. Logs, metrics, and traces make up the bulk of all telemetry data. Pools the data using SDKs, and transports it for processing and exporting.

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Dynatrace adds support for AWS Transit Gateway with VPC Flow Logs

Dynatrace

This new service enhances the user visibility of network details with direct delivery of Flow Logs for Transit Gateway to your desired endpoint via Amazon Simple Storage Service (S3) bucket or Amazon CloudWatch Logs. These include Source IP, destination IP, transport protocol, source port, and destination port. Log Metrics.

AWS 218
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Building Netflix’s Distributed Tracing Infrastructure

The Netflix TechBlog

Our distributed tracing infrastructure is grouped into three sections: tracer library instrumentation, stream processing, and storage. This was the most important question we considered when building our infrastructure because data sampling policy dictates the amount of traces that are recorded, transported, and stored.

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Kubernetes in the wild report 2023

Dynatrace

In general, metrics collectors and providers are most common, followed by log and tracing projects. Redis is an in-memory key-value store and cache that simplifies processing, storage, and interaction with data in Kubernetes environments. Note: The survey excluded all commercial observability offerings, including Dynatrace.

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Delta: A Data Synchronization and Enrichment Platform

The Netflix TechBlog

Thus, ensuring the atomicity of writes across different storage technologies remains a challenging problem for applications [3]. Kafka & Transport Layer The transport layer of Delta events were built on top of the Messaging Service in our Keystone platform. In addition, we support Cassandra (multi-master).

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Edgar: Solving Mysteries Faster with Observability

The Netflix TechBlog

This difference has substantial technological implications, from the classification of what’s interesting to transport to cost-effective storage (keep an eye out for later Netflix Tech Blog posts addressing these topics). Tracing as a foundation Logs, metrics, and traces are the three pillars of observability.

Latency 296