Dynatrace

JUNE 25, 2020

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. The network latency between cluster nodes should be around 10 ms or less. Minimized cross-data center network traffic. Automatic recovery for outages for up to 72 hours. Self-contained turnkey solution.

Availability 256

Availability Hardware Latency Traffic 256

Dynatrace

DECEMBER 27, 2022

First, it helps to understand that applications and all the services and infrastructure that support them generate telemetry data based on traffic from real users. In this example, “Reverse proxy” and “Front-end server” are clearly in the critical path. Latency is the time that it takes a request to be served. Reliability.

Software 276

Software Software Benchmarking Latency 276

The Netflix TechBlog

FEBRUARY 18, 2022

For example, a member-triggered event such as “ change in a profile’s maturity level” should have a much higher priority than a “ system diagnostic signal”. We thus assigned a priority to each use case and sharded event traffic by routing to priority-specific queues and the corresponding event processing clusters.

Systems 334

Systems Traffic Architecture Mobile 334

The Netflix TechBlog

NOVEMBER 3, 2022

For example, it is OK to send writes through one instance, and do reads from another one with full data read consistency guarantees. For example, a batch workflow orchestration system may create multiple jobs which are part of a single workflow execution. Kubernetes is a good example here.

Cache 235

Cache Latency Traffic Systems 235

The Netflix TechBlog

NOVEMBER 2, 2020

How viewers are able to watch their favorite show on Netflix while the infrastructure self-recovers from a system failure By Manuel Correa , Arthur Gonigberg , and Daniel West Getting stuck in traffic is one of the most frustrating experiences for drivers around the world. Logs and background requests are examples of this type of traffic.

Traffic 263

Traffic Metrics Infrastructure Architecture 263

The Netflix TechBlog

OCTOBER 8, 2024

Rajiv Shringi Vinay Chella Kaidan Fullerton Oleksii Tkachuk Joey Lynch Introduction As Netflix continues to expand and diversify into various sectors like Video on Demand and Gaming , the ability to ingest and store vast amounts of temporal data — often reaching petabytes — with millisecond access latency has become increasingly vital.

Latency 242

Latency Storage Traffic Tuning 242

The Netflix TechBlog

SEPTEMBER 2, 2020

Example call graph in Edgar In some cases, the question we’re answering is, “What’s happening right now??” Edgar captures 100% of interesting traces , as opposed to sampling a small fixed percentage of traffic. Searching for key evidence becomes like digging for a needle in a group of haystacks.

Latency 299

Latency Transportation Engineering Traffic 299

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. Saturation.

Automotive 279

Automotive Latency Architecture Azure 279

The Netflix TechBlog

SEPTEMBER 18, 2024

These include challenges with tail latency and idempotency, managing “wide” partitions with many rows, handling single large “fat” columns, and slow response pagination. It also serves as central configuration of access patterns such as consistency or latency targets.

Latency 254

Latency Storage Cache Efficiency 254

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. Replay Testing Enter replay testing.

Latency 243

Latency Cache Java Traffic 243

The Netflix TechBlog

SEPTEMBER 10, 2024

Continuous Instrumentation of the Linux Scheduler To ensure the reliability of our workloads that depend on low latency responses, we instrumented the run queue latency for each container, which measures the time processes spend in the scheduling queue before being dispatched to the CPU.

Latency 251

Latency Metrics Programming Monitoring 251

Dynatrace

AUGUST 25, 2023

These signals ( latency, traffic, errors, and saturation ) provide a solid means of proactively monitoring operative systems via SLOs and tracking business success. Performance typically addresses response times or latency aspects and contributes to the four golden signals. This is what Dynatrace captures as response time.

Performance 185

Performance Latency Traffic Metrics 185

The Netflix TechBlog

MARCH 5, 2024

Reduced tail latencies In both our GRPC and DGS Framework services, GC pauses are a significant source of tail latencies. Each of these errors is a canceled request resulting in a retry so this reduction further reduces overall service traffic by this rate: Errors rates per second.

Latency 240

Latency Java Tuning Efficiency 240

The Netflix TechBlog

JUNE 4, 2019

Because microprocessors are so fast, computer architecture design has evolved towards adding various levels of caching between compute units and the main memory, in order to hide the latency of bringing the bits to the brains. As an illustrative example, let’s consider a toy instance of 16 hyperthreads.

Cache 260

Cache Latency Airlines Logistics 260

Dynatrace

JUNE 1, 2023

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. Five example SLOs for faster, more reliable apps 1. Note : you might hear the term latency used instead of response time.

Latency 189

Latency Website Traffic Virtualization 189

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. In addition, the workflow can be easily extended to any custom demands, for example, integration with tools that support your software product lifecycle.

DevOps 230

DevOps Latency Traffic Best Practices 230

The Netflix TechBlog

DECEMBER 17, 2024

The Challenge of Title Launch Observability As engineers, were wired to track system metrics like error rates, latencies, and CPU utilizationbut what about metrics that matter to a titlessuccess? Some examples: Why is title X not showing on the Coming Soon row for a particular member?

Traffic 174

Traffic Scalability Strategy Monitoring 174

The Netflix TechBlog

JANUARY 10, 2024

This architecture shift greatly reduced the processing latency and increased system resiliency. We expanded pipeline support to serve our studio/content-development use cases, which had different latency and resiliency requirements as compared to the traditional streaming use case. divide the input video into small chunks 2.

Processing 240

Processing Media Latency Innovation 240

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 functionality is implemented via an automated workflow.

DevOps 199

DevOps Traffic Latency Best Practices 199

Dynatrace

MAY 31, 2023

At the lowest level, SLIs provide a view of service availability, latency, performance, and capacity across systems. For example, a panel of customers may occasionally provide feedback on service quality and performance. 5 SRE best practices Let’s break down SRE best practices into the following five major steps: 1.

Best Practices 233

Best Practices DevOps Latency Metrics 233

Dynatrace

MARCH 16, 2023

Monitors signals The first attribute of a good SLO is the ability to monitor the four “golden signals”: latency, traffic, error rates, and resource saturation. Grabner and Cabrera offer the example of an iOS app experiencing crash issues after a team deploys a new version.

DevOps 228

DevOps Latency Metrics Traffic 228

The Netflix TechBlog

AUGUST 13, 2020

We also highlight interesting broader events such as regional traffic evacuations and nearby deployments , information that is vital to understanding health holistically. Regional traffic evacuations. For example, a latency increase is less critical than error rate increase and some error codes are less critical than others.

Monitoring 221

Monitoring Tuning Traffic Metrics 221

The Netflix TechBlog

AUGUST 30, 2021

For example, when running tests, the state of the device will change from “available for testing” to “in test.” As such, we can see that the traffic load on the Device Management Platform’s control plane is very dynamic over time. Collect and aggregate information and state updates for all devices attached to the RAEs in the fleet.

Latency 224

Latency Traffic Transportation Cloud 224

The Netflix TechBlog

MARCH 10, 2023

Existing data got updated to be backward compatible without impacting the existing running production traffic. Data Sharding strategy in elasticsearch is updated to provide low search latency (as described in blog post) Design of new Cassandra reverse indices to support different sets of queries.

Media 245

Media Traffic Processing Design 245

Dynatrace

AUGUST 27, 2024

For example, look for vendors that use a secure development lifecycle process to develop software and have achieved certain security standards. It detects regressions and deviations from previously observed behavior, including latency, traffic, error rates, saturation, security coverage, vulnerability risk levels, and memory consumption.

Best Practices 276

Best Practices Government DevOps Analytics 276

Scalegrid

APRIL 16, 2020

Each of these models is suitable for production deployments and high traffic applications, and are available for all of our supported databases, including MySQL , PostgreSQL , Redis™ and MongoDB® database ( Greenplum® database coming soon). Let’s walk through an example: Database: MySQL. Cloud Provider: AWS. SSH Access to Machine.

Cloud 242

Cloud Azure AWS Database 242

Dynatrace

APRIL 25, 2023

For example, to handle traffic spikes and pay only for what they use. Scale automatically based on the demand and traffic patterns. Higher latency and cold start issues due to the initialization time of the functions. The elasticity of serverless services helps organizations scale as needed.

Serverless 220

Serverless Lambda Azure AWS 220

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 231

DevOps Traffic Efficiency Servers 231

Dynatrace

APRIL 26, 2022

STM generates traffic that replicates the typical path or behavior of a user on a network to measure performance for example, response times, availability, packet loss, latency, jitter, and other variables).

Monitoring 216

Monitoring Social Media IoT Metrics 216

Dynatrace

JUNE 27, 2022

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). RUM, however, has some limitations, including the following: RUM requires traffic to be useful.

Best Practices 186

Best Practices Monitoring Wireless Traffic 186

The Netflix TechBlog

NOVEMBER 22, 2019

Netflix shares how Amazon EC2 Auto Scaling allows its infrastructure to automatically adapt to changing traffic patterns in order to keep its audience entertained and its costs on target. Netflix runs dozens of stateful services on AWS under strict sub-millisecond tail-latency requirements, which brings unique challenges. Wednesday?—?December

AWS 38

AWS Entertainment Open Source Benchmarking 38

The Netflix TechBlog

JULY 26, 2021

Operational Reporting is a reporting paradigm specialized in covering high-resolution, low-latency data sets, serving detailed day-to-day activities¹ and processes of a business domain. See example below. Example: Filter Processor, Sink Processors Opt in to schema Evolution example 2. Two Types of Processors 1.

Big Data 258

Big Data Government Processing Analytics 258

The Netflix TechBlog

AUGUST 16, 2023

For example, a 16-core box connecting to an 800-server origin would have 12,800 connections. That’s a significant amount and certainly more than is necessary relative to the traffic on most clusters. More acutely, if a traffic spike occurs and Zuul instances scale up, it exponentially increases connections open to origins.

Traffic 180

Traffic Servers Google Metrics 180

The Netflix TechBlog

OCTOBER 19, 2020

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 Using simple lookup indices in Cassandra gives us the ability to maintain acceptable read latencies while doing heavy writes. which is difficult when troubleshooting distributed systems.

Infrastructure 239

Infrastructure Transportation Storage Open Source 239

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 238

Systems Media Cache Open Source 238

Dynatrace

SEPTEMBER 30, 2021

In case of a spike in traffic, you can automatically spin up more resources, often in a matter of seconds. Likewise, you can scale down when your application experiences decreased traffic. For example, as traffic increases, costs will too. Analyze your resource consumption and traffic patterns.

Cloud 175

Cloud Traffic Best Practices Strategy 175

Dynatrace

JULY 18, 2023

While developers edit files, a simple CLI command applies configurations to Dynatrace and, for example, automates the setup of a quality gate, including workflows and Site Reliability Guardians. Stay tuned for more examples and easy-to-adopt automations provided in our public Github project.

Best Practices 202

Best Practices Code Infrastructure Latency 202