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

Dynatrace

Today, the composable nature of code enables skilled IT teams to create and customize automated solutions capable of improving efficiency. ” While this methodology extends to every layer of the IT stack, infrastructure as code (IAC) is the most prominent example. What is infrastructure as code? Consistency. A lignment.

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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. Our tactical approach was to use Netflix-specific libraries for collecting traces from Java-based streaming services until open source tracer libraries matured.

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Java memory optimizations: 3x Jenkins performance improvement with Dynatrace

Dynatrace

In my last blog I covered how our Engineering Productivity (EP) and Infrastructure & Services (IAS) Teams are ensuring that our DevOps tool chain is running as expected, even while workloads have shifted as our global engineering teams are now working from home. But let’s start from the beginning: Step #1 – Switching to Java 11.

Java 256
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Automatic and intelligent end-to-end observability for OpenTelemetry Java

Dynatrace

To avoid blind spots that get in the way of efficient root cause analysis and increase resolution times, such teams need an enterprise-scale platform that provides a holistic end-to-end view across all the services they are responsible for. PurePath integrates OpenTelemetry Java data for enterprise-grade collection and contextual analytics.

Java 159
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Log auditing and log forensics benefit from converging observability and security data

Dynatrace

Log auditing—and its investigative partner, log forensics—are becoming essential practices for securing cloud-native applications and infrastructure. As organizations adopt more cloud-native technologies, observability data—telemetry from applications and infrastructure, including logs, metrics, and traces—and security data are converging.

Analytics 190
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How Red Hat and Dynatrace intelligently automate your production environment

Dynatrace

This way, disruptions are minimized, MTTR is significantly decreased, and DevSecOps and SREs collaborate efficiently to boost productivity. With Dynatrace Ownership information, relevant stakeholders can be easily identified and informed, and high-risk security or infrastructure problems can be escalated. Executing corrective actions.

DevOps 290
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How a data lakehouse brings data insights to life

Dynatrace

For IT infrastructure managers and site reliability engineers, or SREs , logs provide a treasure trove of data. These traditional approaches to log monitoring and log analytics thwart IT teams’ goal to address infrastructure performance problems, security threats, and user experience issues. where an error occurred at the code level.

Analytics 226