The Netflix TechBlog

MAY 4, 2023

The second phase involves migrating the traffic over to the new systems in a manner that mitigates the risk of incidents while continually monitoring and confirming that we are meeting crucial metrics tracked at multiple levels. It provides a good read on the availability and latency ranges under different production conditions.

Traffic 339

Traffic Latency Tuning Systems 339

DZone

JUNE 15, 2023

In order to gain insight into these problems, we gather a range of metrics and logs to monitor the utilization of system resources such as CPU, memory, and application-specific latencies. It is worth noting that this data collection process does not impact the performance of the application.

Latency 253

Latency Storage Strategy Metrics 253

Dynatrace

DECEMBER 27, 2022

By implementing service-level objectives, teams can avoid collecting and checking a huge amount of metrics for each service. When organizations implement SLOs, they can improve software development processes and application performance. Latency is the time that it takes a request to be served. SLOs improve software quality.

Software 252

Software Software Benchmarking Latency 252

The Netflix TechBlog

JUNE 13, 2023

Replay traffic testing gives us the initial foundation of validation, but as our migration process unfolds, we are met with the need for a carefully controlled migration process. A process that doesn’t just minimize risk, but also facilitates a continuous evaluation of the rollout’s impact.

Traffic 279

Traffic Metrics Systems Strategy 279

Dynatrace

NOVEMBER 28, 2022

The new Amazon capability enables customers to improve the startup latency of their functions from several seconds to as low as sub-second (up to 10 times faster) at P99 (the 99th latency percentile). This can cause latency outliers and may lead to a poor end-user experience for latency-sensitive applications.

Lambda 214

Lambda AWS Serverless Latency 214

Dynatrace

MAY 31, 2023

As a result, site reliability has emerged as a critical success metric for many organizations. By automating and accelerating the service-level objective (SLO) validation process and quickly reacting to regressions in service-level indicators (SLIs), SREs can speed up software delivery and innovation. Service-level objectives (SLOs).

Best Practices 212

Best Practices DevOps Latency Metrics 212

Dynatrace

MAY 21, 2024

With the latest advances from Dynatrace, this process is instantaneous. That’s because it does not require any pre-prepared schemas, and access to cold/hot storage is fully automatic and with zero latency. Moreover, it is fast, powered by its massively parallel processing data lakehouse.

Technology 193

Technology Technology Analytics Storage 193

CSS Wizardry

OCTOBER 16, 2023

In this post, I’m going to break these processes down into each of: ? Plotted on the same horizontal axis of 1.6s, the waterfalls speak for themselves: 201ms of cumulative latency; 109ms of cumulative download. 4,362ms of cumulative latency; 240ms of cumulative download. Read the complete test methodology. It gets worse.

Cache 291

Cache Latency Strategy Speed 291

Dynatrace

JUNE 7, 2023

Advanced AI applications using OpenAI services don’t just forward user input to OpenAI models; they also require client-side pre- and post-processing. It shows critical SLOs for latency and availability, as well as the most important OpenAI generative AI service metrics, such as response time, error count, and the overall number of requests.

Monitoring 157

Monitoring Latency Metrics Azure 157

Dynatrace

APRIL 7, 2023

Customers can use AWS Lambda Response Streaming to improve performance for latency-sensitive applications and return larger payload sizes. Lambda functions allow teams to run code for applications, back-end services, streaming processing, or any layer of the stack with less overhead. Return larger payload sizes.

Lambda 204

Lambda AWS Serverless Latency 204

Dynatrace

NOVEMBER 6, 2023

When an incident occurs, developers need to know what data to look at, where the incident occurred, and other relevant metrics. But developers need code-level visibility and code-level data.” That’s not how I envision code-level observability,” Laifenfeld said. KubeCon North America is this week.

Development 251

Development DevOps Programming Cloud 251

Dynatrace

JUNE 1, 2023

Certain SLOs can help organizations get started on measuring and delivering metrics that matter. More than half of CIOs confirmed that they often make tradeoffs among code quality, security, and reliability to meet the need for rapid software delivery. Note : you might hear the term latency used instead of response time.

Latency 168

Latency Website Traffic Virtualization 168

Dynatrace

FEBRUARY 15, 2023

Streamline development and delivery processes Nowadays, digital transformation strategies are executed by almost every organization across all industries. SREs use Service-Level Indicators (SLI) to see the complete picture of service availability, latency, performance, and capacity across various systems, especially revenue-critical systems.

DevOps 208

DevOps Latency Traffic Best Practices 208

Dynatrace

JUNE 1, 2023

Certain service-level objective examples can help organizations get started on measuring and delivering metrics that matter. More than half of CIOs confirmed that they often make tradeoffs among code quality, security, and reliability to meet the need for rapid software delivery. Latency primarily focuses on the time spent in transit.

Traffic 173

Traffic Latency Website Virtualization 173

Dynatrace

SEPTEMBER 13, 2023

Using an interactive no/low code editor, you can create workflows or configure them as code. This process enables you to continuously evaluate software against predefined quality criteria and service level objectives (SLOs) in pre-production environments.

AWS 236

AWS Efficiency Azure Cloud 236

Dynatrace

MAY 17, 2023

To ensure high standards, it’s essential that your organization establish automated validations in an early phase of the software development process—ideally when code is written. Based on those insights, they implemented automated validation tasks, and shifted left in their software delivery pipeline.

DevOps 176

DevOps Traffic Latency Best Practices 176

The Netflix TechBlog

MARCH 6, 2019

—?Mounting object storage in Netflix’s media processing platform By Barak Alon (on behalf of Netflix’s Media Cloud Engineering team) MezzFS (short for “Mezzanine File System”) is a tool we’ve developed at Netflix that mounts cloud objects as local files via FUSE. Encoding is not a one-time process?—?large We have one file?—?the

Media 214

Media Storage Processing Cache 214

Dynatrace

MAY 17, 2023

Making applications observable—relying on metrics, logs, and traces to understand what software is doing and how it’s performing—has become increasingly important as workloads are shifting to multicloud environments. We also introduced our demo app and explained how to define the metrics and traces it uses.

Metrics 163

Metrics Monitoring Database Network 163

Dynatrace

APRIL 8, 2024

Optimize the IT infrastructure supporting risk management processes and controls for maximum performance and resilience. The IT infrastructure, services, and applications that enable processes for risk management must perform optimally. Automated risk management workflows, processes, and decisions.

Analytics 189

Analytics Infrastructure Efficiency Technology 189

Dynatrace

JANUARY 18, 2023

However, getting reliable answers from observability data so teams can automate more processes to ensure speed, quality, and reliability can be challenging. This drive for speed has a cost: 22% of leaders admit they’re under so much pressure to innovate faster that they must sacrifice code quality.

DevOps 187

DevOps Best Practices Innovation Strategy 187

Dynatrace

APRIL 5, 2021

AWS Lambda is a serverless compute service that can run code in response to predetermined events or conditions and automatically manage all the computing resources required for those processes. Real-time file processing, for quickly indexing files, processing logs, and validating content. What is AWS Lambda?

Lambda 173

Lambda AWS Serverless Hardware 173

Dynatrace

APRIL 25, 2023

Higher latency and cold start issues due to the initialization time of the functions. Observability is typically achieved by collecting three types of data from a system, metrics, logs and traces. Enable faster development and deployment cycles by abstracting away the infrastructure complexity.

Serverless 196

Serverless Lambda Azure AWS 196

The Netflix TechBlog

AUGUST 30, 2021

The challenge, then, is to be able to ingest and process these events in a scalable manner, i.e., scaling with the number of devices, which will be the focus of this blog post. In-Order Processing The semantics of correct device information updates ingestion requires that messages be consumed in the order that they are produced.

Latency 213

Latency Traffic Transportation Cloud 213

The Netflix TechBlog

SEPTEMBER 8, 2020

On the Android team, while most of our time is spent working on the app, we are also responsible for maintaining this backend that our app communicates with, and its orchestration code. 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.

Latency 233

Latency Cache Java Traffic 233

The Netflix TechBlog

FEBRUARY 20, 2019

Today we are excited to announce latency heatmaps and improved container support for our on-host monitoring solution?—?Vector?—?to Remotely view real-time process scheduler latency and tcp throughput with Vector and eBPF What is Vector? to the broader community. Vector is open source and in use by multiple companies.

Performance 211

Performance Latency Open Source Metrics 211

Dynatrace

OCTOBER 4, 2021

API monitoring is the process of collecting and analyzing data about the performance of an API in order to identify problems that impact users. When monitoring, it’s important to track metrics that describe the vital aspects of an application’s performance. What is API Monitoring? The need for API monitoring.

Monitoring 169

Monitoring Latency Metrics Availability 169

Dynatrace

JANUARY 13, 2022

Real user monitoring (RUM) is a performance monitoring process that collects detailed data about a user’s interaction with an application. Real user monitoring collects data on a variety of metrics. For example, data collected on load actions can include navigation start, request start, and speed index metrics.

Monitoring 170

Monitoring Latency Mobile Best Practices 170

Dynatrace

JANUARY 26, 2021

REST APIs, authentication, databases, email, and video processing all have a home on serverless platforms. The Serverless Process. When an application is triggered, it can cause latency as the application starts. The average request is handled, processed, and returned quickly. Services scale to meet demand.

Serverless 239

Serverless Efficiency Lambda Azure 239

Dynatrace

JULY 24, 2023

We will also explore the evolution of DevOps automation and the significance of data-driven answers in unlocking streamlined, automated DevOps and SRE processes. Business process automation Business process automation is the foundation for improving operational efficiency. The absence of these details hampers decision-making.

DevOps 209

DevOps Traffic Efficiency Servers 209

Dynatrace

APRIL 6, 2022

A full-stack observability solution uses telemetry data such as logs, metrics, and traces to give IT teams insight into application, infrastructure, and UX performance. Not just infrastructure connections, but the relationships and dependencies between containers, microservices , and code at all network layers. Watch webinar now!

DevOps 222

DevOps Innovation Infrastructure Analytics 222

Dynatrace

DECEMBER 22, 2021

Observability is made up of three key pillars: metrics, logs, and traces. Metrics are measures of critical system values, such as CPU utilization or average write latency to persistent storage. Observability tools, such as metrics monitoring, log viewers, and tracing applications, are relatively small in scope.

Artificial Intelligence 169

Artificial Intelligence Metrics Architecture DevOps 169

Dynatrace

FEBRUARY 2, 2022

service availability with <50ms latency for an application with no revenue impact. A broken SLO with no owner can take longer to remediate and is more likely to recur compared to an SLO with an owner and a well-defined remediation process. To avoid this, start the SLO discussion early in the design process.

DevOps 185

DevOps Metrics Best Practices Latency 185

Dynatrace

DECEMBER 2, 2021

And why have SLOs and SLIs become so important as teams automate processes to consistently meet SLAs and error budgets? As defined by Gartner , service-level objectives are an agreed-upon target within an SLA that must be achieved for each activity, function, and process to provide the best opportunity for customer success.

Metrics 180

Metrics Best Practices DevOps Infrastructure 180

The Netflix TechBlog

JANUARY 24, 2022

Technically, “performance” metrics are those relating to the responsiveness or latency of the app, including start up time. At Netflix the term “performance” usually encompasses both performance metrics (in the strict meaning) and memory metrics, and that’s how we’re using the term here. What do we mean by Performance?

Performance 199

Performance Metrics Performance Testing Testing 199

The Netflix TechBlog

AUGUST 22, 2019

Baking Windows with Packer By Justin Phelps and Manuel Correa Customizing Windows images at Netflix was a manual, error-prone, and time consuming process. We looked at our process for creating a Windows AMI and discovered it was error-prone and full of toil. Last year, we decided to improve the AMI baking process.

DevOps 207

DevOps AWS Tuning Infrastructure 207

Scalegrid

MARCH 14, 2024

Effective hybrid cloud management requires robust tools and techniques for centralized administration, policy enforcement, cost management, and modern infrastructure practices like Infrastructure-as-Code (IaC) and containers.

Strategy 130

Strategy Cloud Artificial Intelligence Infrastructure 130

Dynatrace

JULY 10, 2019

Dynatrace monitors your full stack and offers you thousands of metrics with almost zero configuration. Just a single OneAgent per host is required to collect all relevant monitoring data, all the way down to specific lines of code. This article we help distinguish between process metrics, external metrics and PurePaths (traces).

Java 132

Java Best Practices Metrics Azure 132