article thumbnail

Building Netflix’s Distributed Tracing Infrastructure

The Netflix TechBlog

a Netflix member via Twitter This is an example of a question our on-call engineers need to answer to help resolve a member issue?—?which Now let’s look at how we designed the tracing infrastructure that powers Edgar. We needed to increase engineering productivity via distributed request tracing.

article thumbnail

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. Dynatrace news. Step #2 – Using Dynatrace Memory Profiling.

Java 258
Insiders

Sign Up for our Newsletter

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

Trending Sources

article thumbnail

How Netflix Content Engineering makes a federated graph searchable

The Netflix TechBlog

By Alex Hutter , Falguni Jhaveri and Senthil Sayeebaba Over the past few years Content Engineering at Netflix has been transitioning many of its services to use a federated GraphQL platform. it began to power a significant portion of the user experience for many applications within Content Engineering. This was done using graphql-java.

article thumbnail

Platform Engineering Teams Done Right…

Adrian Cockcroft

There are three current underlying reasons for the platform engineering meme today. The next layer is defined by the languages you want to use, Java, Python, Go, , Javascript, Rust etc, and the ecosystem of library functions you bought from a vendor or downloaded.

article thumbnail

Kubernetes in the wild report 2023

Dynatrace

Findings provide insights into Kubernetes practitioners’ infrastructure preferences and how they use advanced Kubernetes platform technologies. Kubernetes infrastructure models differ between cloud and on-premises. Java, Go, and Node.js Kubernetes infrastructure models differ between cloud and on-premises.

article thumbnail

How Red Hat and Dynatrace intelligently automate your production environment

Dynatrace

Problem remediation is too time-consuming According to the DevOps Automation Pulse Survey 2023 , on average, a software engineer takes nine hours to remediate a problem within a production application. With that, Software engineers, SREs, and DevOps can define a broad automation and remediation mapping. Are you a managed customer?

DevOps 292
article thumbnail

Dynatrace and Google unleash cloud-native observability for GKE Autopilot

Dynatrace

GKE Autopilot empowers organizations to invest in creating elegant digital experiences for their customers in lieu of expensive infrastructure management. These CSI pods provide a unique way of solving a handful of infrastructure problems. Here we asked Davis, the Dynatrace AI engine , to correlate CPU usage against other signals.

Google 229