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

Dynatrace

MARCH 16, 2023

Enterprises now have access to myriad metrics they can track and measure, but an abundance of choice doesn’t equal actionable insight. Indeed, 54% of SREs say they handle too many metrics, making it increasingly difficult to find the most relevant ones for a particular service, according to the Dynatrace State of SRE Report.

DevOps 220

DevOps Latency Metrics Traffic 220

Dynatrace

MAY 13, 2022

Once you deploy the Dynatrace extension, Dynatrace ingests your Cassandra metrics and analyzes them in context with the entire stack. From there, you can dive deeper into infrastructure metrics (cluster, datacenter, racks, and nodes) and data metrics (keyspaces and tables). Seeing the value.

Azure 239

Azure Latency Metrics Infrastructure 239

CSS Wizardry

OCTOBER 16, 2023

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. When we talk about downloading files, we—generally speaking—have two things to consider: latency and bandwidth. It gets worse.

Cache 291

Cache Latency Strategy Speed 291

Scalegrid

DECEMBER 21, 2023

Buckle up as we delve into the world of Redis® monitoring, exploring the most important Redis® metrics, discussing essential tools, and even peering into the future of Redis® performance management. Identifying key Redis® metrics such as latency, CPU usage, and memory metrics is crucial for effective Redis monitoring.

Strategy 130

Strategy Monitoring Latency DevOps 130

Dynatrace

MAY 31, 2023

As a result, site reliability has emerged as a critical success metric for many organizations. The following three metrics are commonly used to measure success: Service-level agreements (SLAs). These metrics are the factors and service levels that must be achieved for each activity, function, and process to deliver on the SLA.

Best Practices 227

Best Practices DevOps Latency Metrics 227

The Netflix TechBlog

APRIL 27, 2023

A few years ago, we were paged by our SRE team due to our Metrics Alerting System falling behind — critical application health alerts reached engineers 45 minutes late! Hence, we started down the path of alert evaluation via real-time streaming metrics. Data expressions define what data needs to be sourced in order to evaluate a query.

Storage 288

Storage Cache Metrics Database 288

Dynatrace

DECEMBER 22, 2019

To reduce your CloudWatch costs and throttling, you can now select from additional services and metrics to monitor. Get up to 300 new AWS metrics out of the box. Dynatrace ingests AWS CloudWatch metrics for multiple preselected services. Select Add service to pick the service that has the metric you want to add.

AWS 137

AWS Metrics IoT Storage 137

Dynatrace

SEPTEMBER 13, 2023

For example, optimizing resource utilization for greater scale and lower cost and driving insights to increase adoption of cloud-native serverless services. This is where unified observability and Dynatrace Automations can help by leveraging causal AI and analytics to drive intelligent automation across your multicloud ecosystem.

AWS 252

AWS Efficiency Azure Cloud 252

Dynatrace

DECEMBER 22, 2019

To reduce your CloudWatch costs and throttling, you can now select from additional services and metrics to monitor. Get up to 300 new AWS metrics out of the box. Dynatrace ingests AWS CloudWatch metrics for multiple preselected services. Select Add service to pick the service that has the metric you want to add.

AWS 133

AWS Metrics IoT Storage 133

Dynatrace

JANUARY 31, 2024

For example, a Stanford University and UC Berkeley team noted in a research study that ChatGPT behavior deteriorates over time. Using the example of a chatbot, once the user submits a natural language prompt, RAG summarizes that prompt using semantic data. Consequently, AI model drift and hallucinations emerge as primary concerns.

Cache 209

Cache Azure Infrastructure Monitoring 209

Dynatrace

JUNE 1, 2023

Certain SLOs can help organizations get started on measuring and delivering metrics that matter. But how do you get started, and what are some service level objective examples? In this post, I’ll lay out five foundational service level objective examples that every DevOps and SRE team should consider. Thus, an ApDex score of 0.85

Latency 181

Latency Website Traffic Virtualization 181

Dynatrace

MAY 19, 2022

Example 1: Architecture boundaries. For example, the mobile device talked to an API gateway, and that team was not responsible for all the details of the back-end systems. In their new dashboard, they added dimensions for load, latency, and open problems for each component. Example 2: Four golden signals.

Automotive 274

Automotive Latency Architecture Azure 274

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. In this example, Grabner saw that the adservice workload was running on EKS and could see the relevant metrics, logs, services, events, error logs, and more. “Then, I add a breakpoint.

Development 267

Development DevOps Programming Cloud 267

Dynatrace

FEBRUARY 15, 2023

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. Additionally, you can easily use any previously defined metrics and SLOs from your environments.

DevOps 224

DevOps Latency Traffic Best Practices 224

Dynatrace

NOVEMBER 3, 2021

Monitoring focuses on watching specific metrics. Observability is the ability to understand a system’s internal state by analyzing the data it generates, such as logs, metrics, and traces. For example, we can actively watch a single metric for changes that indicate a problem — this is monitoring.

Monitoring 226

Monitoring Metrics DevOps Scalability 226

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 175

Metrics Monitoring Database Network 175

Dynatrace

SEPTEMBER 18, 2020

High latency or lack of responses. You receive an alert message from Dynatrace (your infrastructure observability hub) letting you know that the average response latency of all deployed APIs has tripled. Looking at the key metrics of the deployment does not reveal anything out of the ordinary. But where does the fault lie?

Infrastructure 192

Infrastructure Latency Metrics Analytics 192

The Netflix TechBlog

MARCH 7, 2024

Example use case: Content Knowledge Graph Our knowledge graph of the entertainment world encodes relationships between titles, actors and other attributes of a film or series, supporting all aspects of business at Netflix. In other cases, it is more convenient to share the results via a low-latency API.

Systems 226

Systems Media Cache Open Source 226

Dynatrace

JANUARY 13, 2022

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. Real user monitoring works by injecting code into an application to capture metrics while the application is in use. How real user monitoring works.

Monitoring 184

Monitoring Latency Mobile Best Practices 184

The Netflix TechBlog

OCTOBER 26, 2021

Continuing on an example from Part 3 , a false negative corresponds to labeling the photo of the cat as a “not cat.” To build intuition about power, let’s go back to the same coin example from Part 3, where the goal is to decide if the coin is unfair using an experiment that calculates the fraction of heads in 100 flips.

Testing 202

Testing Latency Metrics Innovation 202

Dynatrace

JANUARY 31, 2024

Davis AI, Grail, and data observability By grouping common data observability issues into industry-standard pillars, we can provide tangible examples and showcase current capabilities. Scenario : For many B2B SaaS companies, the number of reported customers is an important metric.

DevOps 197

DevOps Analytics Airlines Metrics 197

Dynatrace

MAY 17, 2023

How Dynatrace uses Site Reliability Guardian In each of these Dynatrace examples, insight is made in a production-like environment. These examples can help you define your starting point for establishing DevOps and SRE best practices in your organization. The queries are depicted below (sensitive data has been removed).

DevOps 192

DevOps Traffic Latency Best Practices 192

Dynatrace

APRIL 25, 2023

For example, to handle traffic spikes and pay only for what they use. 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. Why is observability challenging in serverless applications?

Serverless 213

Serverless Lambda Azure AWS 213

Dynatrace

SEPTEMBER 16, 2022

For example, is your application meeting business goals? For example, teams can further segment the telemetry data captured from a mobile app based on operating system, device, region, app version, and other custom metrics, to provide more granular insights on users and their behavior. Take banking for example.

Mobile 225

Mobile Metrics Monitoring Latency 225

The Netflix TechBlog

SEPTEMBER 8, 2020

As an example, to render the screen shown here, the app sends a query that looks like this: paths: ["videos", 80154610, "detail"] A path starts from a root object , and is followed by a sequence of keys that we want to retrieve the data for. We will talk more about how we used these metrics in the sections to follow.

Latency 233

Latency Cache Java Traffic 233

Dynatrace

APRIL 26, 2022

Fast, consistent application delivery creates a positive user experience that can ultimately drive customer loyalty and improve business metrics like conversion rate and user retention. DEM can give organizations business observability—insight into the effects of user experience on the bottom line. What is digital experience monitoring?

Monitoring 209

Monitoring Social Media IoT Metrics 209

Dynatrace

JANUARY 26, 2021

AWS Lambda functions are an example of how a serverless framework works: Developers write a function in a supported language or platform. When an application is triggered, it can cause latency as the application starts. Building APIs (for example, Amazon API Gateway ). Creating a prototype (for example, on Azure ).

Serverless 245

Serverless Efficiency Lambda Azure 245

Dynatrace

JUNE 27, 2022

RUM gathers information on a variety of performance metrics. Data collected on page load events, for example, can include navigation start (when performance begins to be measured), request start (right before the user makes a request from the server), and speed index metrics (measure page load speed).

Best Practices 179

Best Practices Monitoring Wireless Traffic 179

CSS Wizardry

AUGUST 7, 2019

However, one metric I feel that front-end developers overlook all too quickly is Time to First Byte (TTFB). The first—and often most surprising for people to learn—thing that I want to draw your attention to is that TTFB counts one whole round trip of latency. For example, request collapsing , edge-side includes , etc.).

Latency 269

Latency Ecommerce Servers Mobile 269

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 182

Artificial Intelligence Metrics Architecture DevOps 182

Percona

DECEMBER 26, 2023

This PoC demonstrates how to install and configure pg_stat_monitor in order to extract useful and actionable metrics from a PostgreSQL database and display them on a Grafana dashboard. Installation (example: CENTOS8, pg14) The simplest way to get pg_stat_monitor is to install it via Percona Distribution for PostgreSQL.

Benchmarking 119

Benchmarking Metrics C++ Database 119

Dynatrace

JULY 24, 2023

For example, consider an e-commerce website that automatically sends personalized discount codes to customers who abandon their shopping carts. Let’s examine a few examples of answer-driven automation using AI and context. DevOps automation example #2: Threat detection and response Let’s build on the previous example.

DevOps 225

DevOps Traffic Efficiency Servers 225

Dynatrace

FEBRUARY 2, 2022

For example, the IT team of a bank wants to ensure that for a trailing 30-day period there is 99.9% service availability with <50ms latency for an application with no revenue impact. Let’s take service availability for example. This can create an unnecessary distraction and steal time away from critical tasks.

DevOps 201

DevOps Metrics Best Practices Latency 201

Dynatrace

APRIL 5, 2021

Real-time stream processing to perform live activity tracking, data cleansing, metrics generation, and more. Some common examples include: A request through API Gateway or Amplify. AWS continues to improve how it handles latency issues. How does AWS Lambda work? The container goes inactive until triggered again.

Lambda 183

Lambda AWS Serverless Hardware 183

Dynatrace

DECEMBER 2, 2021

For example, an SLA between a web host provider and customer can guarantee 99.95% uptime for all web services of a company over a year. For example, if the SLA for a website is 99.95% uptime, its corresponding SLO could be 99.95% availability of the login services. For example, if your SLO guarantees 99.5% What are SLOs?

Metrics 196

Metrics Best Practices DevOps Infrastructure 196

Dynatrace

JUNE 25, 2020

Dynatrace Managed is intrinsically highly available as it stores three copies of all events, user sessions, and metrics across its cluster nodes. For example, in a three-node cluster, one node can go down; in a cluster with five or more nodes, two nodes can go down. Supports a maximum 9 nodes per data center (18 nodes in total).

Availability 251

Availability Hardware Latency Traffic 251