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The road to observability with OpenTelemetry demo part 1: Identifying metrics and traces

Dynatrace

That is, relying on metrics, logs, and traces to understand what software is doing and where it’s running into snags. In addition to tracing, observability also defines two other key concepts, metrics and logs. When software runs in a monolithic stack on on-site servers, observability is manageable enough.

Metrics 180
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Log auditing and log forensics benefit from converging observability and security data

Dynatrace

As organizations adopt more cloud-native technologies, observability data—telemetry from applications and infrastructure, including logs, metrics, and traces—and security data are converging. for example, collate which and how many Java applications were attacked) Did we lose any critical data? Incomplete. Skills and expertise.

Analytics 185
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Data Reprocessing Pipeline in Asset Management Platform @Netflix

The Netflix TechBlog

Production Use Cases Real-Time APIs (backed by the Cassandra database) for asset metadata access don’t fit analytics use cases by data science or machine learning teams. Existing data got updated to be backward compatible without impacting the existing running production traffic. Error Handling Errors are part of software development.

Media 237
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Leverage automated and intelligent observability for OpenTelemetry for Go with Dynatrace PurePath 4

Dynatrace

To effectively address such warning signs, organizations need to focus on putting observability data into context—mapping and visualizing relationships and dependencies within all collected telemetry data—not only traces, metrics, and logs. With Dynatrace OneAgent you also benefit from support for traffic routing and traffic control.

Traffic 166
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Building Netflix’s Distributed Tracing Infrastructure

The Netflix TechBlog

Our tactical approach was to use Netflix-specific libraries for collecting traces from Java-based streaming services until open source tracer libraries matured. We chose Open-Zipkin because it had better integrations with our Spring Boot based Java runtime environment.

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Sponsored Post: Etleap, PerfOps, InMemory.Net, Triplebyte, Stream, Scalyr

High Scalability

For heads of IT/Engineering responsible for building an analytics infrastructure , Etleap is an ETL solution for creating perfect data pipelines from day one. Client libraries are available for Node, Ruby, Python, PHP, Go, Java and.NET. View and analyze all your logs and system metrics from multiple sources in one place.

Java 116
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Evolution of Netflix Conductor:

The Netflix TechBlog

Below is a snapshot of our Kibana dashboard which shows the workflow execution metrics over a typical 7-day period. Developer Labs, Logging and Metrics We have been continually improving logging and metrics, and revamped the documentation to reflect the latest state of Conductor.

Lambda 189