The Netflix TechBlog

JANUARY 13, 2022

By Vikram Srivastava and Marcelo Mayworm Netflix has one of the most complex data platforms in the cloud on which our data scientists and engineers run batch and streaming workloads. This blog will explore these two systems and how they perform auto-diagnosis and remediation across our Big Data Platform and Real-time infrastructure.

Big Data 238

Big Data Infrastructure Metrics Hardware 238

Dynatrace

MAY 19, 2022

A service-level objective ( SLO ) is the new contract between business, DevOps, and site reliability engineers (SREs). Example 1: Architecture boundaries. First, they took a big step back and looked at their end-to-end architecture (Figure 2). SLO dashboard defined by architectural boundary. So, what did they do?

Automotive 263

Automotive Latency Architecture Azure 263

Dynatrace

APRIL 21, 2022

With a growing number of cloud-native applications built on containers and microservices-based architectures, the number and variety of databases become complex and difficult to manage at scale. In addition, they must often use disjointed database-specific tools to collaborate with engineers, database administrators, or application owners.

Database 237

Database DevOps Analytics Servers 237

Dynatrace

OCTOBER 6, 2020

Observability as a topic is becoming more important as applications are using microservice architectures and are deployed in Kubernetes environments. This example shows how relying on metrics and log data alone is insufficient. This example shows how relying on metrics and log data alone is insufficient. The setup .

Metrics 195

Metrics Architecture Engineering Cloud 195

Dynatrace

SEPTEMBER 4, 2020

In this blog, I want to dig a bit into a core capability of Keptn which is used across all use cases: SLI/SLO-based Evaluations for Quality Gates as well as Auto-Remediation. While an SLI is just a metric, an SLO just a threshold you expect your SLI to be in and SLA is just the business contract on top of an SLO.

DevOps 243

DevOps Metrics Innovation Azure 243

Uber Engineering

AUGUST 7, 2018

To facilitate the growth of Uber’s global operations, we need to be able to quickly store and access billions of metrics on our back-end systems at any given time.

Open Source 104

Open Source Metrics Infrastructure Scalability 104

ACM Sigarch

AUGUST 3, 2023

(Editor’s Note: This post was submitted as a rebuttal to Andrew Chien’s July 24 SIGARCH Blog Post ) The recent post “ Why Embodied Carbon is a poor Architecture Design metric, and Operational Carbon remains an important Problem ” by Prof. Chien’s blog post points to a paper by Bashir et al. Unlike Prof.

Energy 98

Energy Architecture Hardware Metrics 98

Dynatrace

MARCH 3, 2020

For software engineering teams, this demand means not only delivering new features faster but ensuring quality, performance, and scalability too. One way to apply improvements is transforming the way application performance engineering and testing is done. Here is the definition of this model: ?. Try it today using Keptn .

Performance 236

Performance Education Innovation Software Architecture 236

Tasktop

OCTOBER 18, 2021

Speaking about DevOps and OKRs, Mik shared some of his “lessons learned” from large-scale transformations that leveraged OKRs and Flow Metrics to create an end-to-end, organization-wide feedback loop, as well as pitfalls that snapped some organizations back into the waterfall ways of measuring delivery. Take a Course in Flow Metrics.

DevOps 52

DevOps Metrics Virtualization Innovation 52

Dynatrace

MAY 6, 2021

Increasingly, organizations are turning to observability solutions to get visibility into their dynamic container-based architectures and hybrid-cloud environments. At Perform 2021 , Dynatrace lead data scientist Thomas Natschläger gave a deep dive into the Dynatrace AI engine, Davis.

Games 167

Games Metrics Monitoring Cloud 167

Dynatrace

APRIL 5, 2024

This blog post is for both novice and seasoned audiences alike. The first part of this blog post briefly explores the integration of SLO events with AI. Data Explorer “test your Metric Expression” for info result coming from the above metric.

Efficiency 217

Efficiency Traffic Tuning Metrics 217

Dynatrace

AUGUST 16, 2023

SLOs are specifically processed metrics that help businesses balance breakthroughs with reliability. SLO monitoring is an IT process that tracks microservices architecture health based on metrics that express specific performance targets. To manage this crucial aspect, many companies adopt service level objectives (SLOs).

Monitoring 178

Monitoring DevOps Metrics Innovation 178

Dynatrace

NOVEMBER 9, 2021

The theme for the event focused on ‘APM to Observability’, which we’ll recap shortly within this blog. And for observability to be successful, it requires much more than just logs, metrics, and traces. Figure 4 How Dynatrace enriches metrics, traces, and logs to identify problems with precise root cause analysis.

DevOps 210

DevOps Innovation Cloud Programming 210

Dynatrace

JULY 7, 2022

The framework forms the basis of the SAE (Society of Automotive Engineers) automation levels 1 through 5 for cars. Teams sense by collecting—and connecting—the massive data volumes these systems generate in the form of metrics, events, logs, traces, and user experience data. Think’ with artificial intelligence. Act’ with AIOps.

Artificial Intelligence 174

Artificial Intelligence Automotive DevOps Infrastructure 174

Dynatrace

NOVEMBER 1, 2021

This blog will run through everything you need to know about the Dynatrace/PTC partnership and how Dynatrace can provide more visibility into your PTC environment. Within the pre-packaged starter set for Windchill, all background queue metrics familiar to PTC administrators are automatically included. Davis AI and automation.

Innovation 197

Innovation Monitoring Infrastructure Servers 197

Dynatrace

MAY 24, 2023

The core operating system has a lightweight footprint of only a few hundred MBs when uncompressed, yet it is powerful enough to support various profiles, including x64 or Arm64-based architectures. Instantly visualize the Kubernetes environment with all the detailed metrics and events teams care about.

Azure 220

Azure Monitoring Operating System Virtualization 220

Dynatrace

MAY 26, 2021

From May 17 to May 18, 2021, the Open-Source Engineering team at Dynatrace attended the virtual observability conference, o11yfest. This blog dives into what we learned by listening to experts in the field and the key takeaways we gathered from the talks. A recurring theme was Site Reliability Engineering. Dynatrace news.

AWS 205

AWS Strategy Storage Metrics 205

Dynatrace

NOVEMBER 10, 2020

Dynatrace provides out-of-the-box distributed tracing for Kubernetes and Google App Engine stacks, as well as full-stack Kubernetes Container Optimized OS support. Complete observability with Dynatrace provides you with all the metrics from all your Cloud Functions and services across your GCP projects and displays them on dashboard charts.

Google 213

Google Cloud Serverless Innovation 213

Dynatrace

DECEMBER 2, 2021

As organizations adopt microservices-based architecture , service-level objectives (SLOs) have become a vital way for teams to set specific, measurable targets that ensure users are receiving agreed-upon service levels. SLIs provide the actual metrics and measurements that indicate whether you are meeting your SLO. Dynatrace news.

Metrics 184

Metrics Best Practices DevOps Infrastructure 184

Dynatrace

FEBRUARY 10, 2022

Organizations are accelerating movement to the cloud, resulting in complex combinations of hybrid, multicloud [architecture],” said Rick McConnell, Dynatrace chief executive officer at the annual Perform conference in Las Vegas this week. We gather logs, metrics and traces. It starts with deep and broad observability. For our complete?

Artificial Intelligence 180

Artificial Intelligence Performance Innovation Speed 180

Dynatrace

SEPTEMBER 13, 2023

Because Google offers its own Google Cloud Architecture Framework and Microsoft its Azure Well-Architected Framework , organizations that use a combination of these platforms triple the challenge of integrating their performance frameworks into a cohesive strategy. One of the powerful workflows to leverage is continuous release validation.

AWS 240

AWS Efficiency Azure Cloud 240

Dynatrace

JUNE 8, 2021

Observability is a topic at the top of mind for all architects, Site Reliability Engineers (SREs), and more – each wanting to use observability to proactively detect issues and guarantee the best experience and availability to users. Metric 2: number of requests in error. Creating a dashboard reporting your relevant KPI. Warm-up phase.

Metrics 161

Metrics Tuning Programming Systems 161

Dynatrace

MAY 26, 2021

From May 17 to May 18, 2021, the Open-Source Engineering team at Dynatrace attended the virtual observability conference, o11yfest. This blog dives into what we learned by listening to experts in the field and the key takeaways we gathered from the talks. A recurring theme was Site Reliability Engineering. Dynatrace news.

AWS 147

AWS Strategy Storage Metrics 147

Dynatrace

SEPTEMBER 2, 2020

The scope and scale of these environments are beyond human capacity to manage, with millions to billions of microservices coming and going each second in container-based architectures across multiple clouds. To manage the complexity of these environments, teams need AI-assistance.

Education 173

Education Strategy Innovation Website 173

Dynatrace

SEPTEMBER 18, 2020

Cloud-based application architectures commonly leverage microservices. By leveraging the Dynatrace Davis AI causation engine to watch for unforeseen changes in underlying API responsiveness, Dynatrace automatically identifies slowdowns in the performance of your API manager and points you to their root cause.

Infrastructure 190

Infrastructure Latency Metrics Analytics 190

Uber Engineering

DECEMBER 10, 2018

Uber, like most large technology companies, relies extensively on metrics to effectively monitor its entire stack.

Engineering 75

Engineering Metrics Monitoring Technology 75

Dynatrace

AUGUST 16, 2021

These problems are the drivers behind Dynatrace’s solution offering called Cloud Automation and this two-part blog series shows how to tackle these problems using GitHub Actions. Automatically collect and evaluate business, service, and architectural indicator metrics to promote or roll back deployments. SLO validation – ?Automatically

Software 246

Software Software Open Source Azure 246

Dynatrace

MAY 7, 2019

They fail to understand the deployment architecture and dependencies and aren’t able to deal with the ephemeral nature of containers. These enhancements include: Integration of the new Kubernetes/OpenShift cluster metrics with custom charting. Native integration of Kubernetes/OpenShift node events with the Davis AI causation engine.

Monitoring 199

Monitoring Architecture Metrics Analytics 199

Dynatrace

NOVEMBER 22, 2021

Serverless architecture enables organizations to deliver applications more efficiently without the overhead of on-premises infrastructure, which has revolutionized software development. These tools simply can’t provide the observability needed to keep pace with the growing complexity and dynamism of hybrid and multicloud architecture.

AWS 222

AWS Lambda Artificial Intelligence Serverless 222

Dynatrace

JANUARY 28, 2021

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. Such monitoring data is critical to providing satisfying digital experiences and services to customers.

Traffic 161

Traffic Open Source Servers Cloud 161

Dynatrace

JULY 12, 2022

Several team members had to pore through logs, metrics, and other data to identify issues. “We If a node is encountering performance-level issues, Davis [the Dynatrace AI engine] will pinpoint them,” Schirrmacher says. It’s all part of a continuous deployment architecture,” Schirrmacher says. “We

Innovation 212

Innovation Infrastructure DevOps Azure 212

Dynatrace

OCTOBER 9, 2020

Now you can: Understand the actual architecture of your applications in Kubernetes in real-time. Understand the architecture of your applications in Kubernetes in real-time. Online Boutique has been launched into a Kubernetes cluster that runs in Google Kubernetes Engine (GKE). Network metrics for all containerized environments.

Design 101

Design Google Architecture Traffic 101

The Netflix TechBlog

SEPTEMBER 8, 2020

This allowed Android engineers to have much more control and observability over how we get our data. Image taken from a previously published blog post As you can see, our code was just a part (#2 in the diagram) of this monolithic service. We will talk more about how we used these metrics in the sections to follow.

Latency 233

Latency Cache Java Traffic 233

Dynatrace

OCTOBER 14, 2020

On top of that, our CNCF Open Source project, Keptn , brings cloud automation use cases around progressive delivery and operations to our users enabling our Dynatrace customers to establish a NoOps culture like we have at Dynatrace engineering. If you look at the screenshot below you can see that we deployed the new version at around 15:00.

Cloud 222

Cloud Development Open Source Monitoring 222

Dynatrace

JULY 31, 2020

Loosely defined, Observability boils down to inferring the internal health and state of a system by looking at the external data it produces, which most commonly are logs, metrics, and traces. The answer is in the data collection, and more specifically, how the logs, metrics, traces are collected. What are the plans for the future?

Open Source 176

Open Source Metrics Google Java 176

Uber Engineering

NOVEMBER 26, 2019

When something goes wrong with a piece of code, engineers want to know all the relevant details of the error immediately so they can get right to work remedying the malfunction. .

Engineering 113

Engineering Metrics Technology Technology 113

Dynatrace

MARCH 10, 2021

They collect metrics and raise alerts, but they provide few answers as to what went wrong in the first place. Davis—the Dynatrace AI engine —uses the application topology and service flow maps together with high-fidelity metrics to perform a fault tree analysis. Taking a Walk with Root Cause Analysis using Deterministic AI.

AWS 142

AWS Cloud Artificial Intelligence Innovation 142