Monitoring, Traffic and Tuning - Technology Performance Pulse

Migrating Critical Traffic At Scale with No Downtime?—?Part 1

The Netflix TechBlog

MAY 4, 2023

Migrating Critical Traffic At Scale with No Downtime — Part 1 Shyam Gala , Javier Fernandez-Ivern , Anup Rokkam Pratap , Devang Shah Hundreds of millions of customers tune into Netflix every day, expecting an uninterrupted and immersive streaming experience. This approach has a handful of benefits.

Traffic

Traffic Latency Tuning Systems

Migrating Critical Traffic At Scale with No Downtime?—?Part 2

The Netflix TechBlog

JUNE 13, 2023

Migrating Critical Traffic At Scale with No Downtime — Part 2 Shyam Gala , Javier Fernandez-Ivern , Anup Rokkam Pratap , Devang Shah Picture yourself enthralled by the latest episode of your beloved Netflix series, delighting in an uninterrupted, high-definition streaming experience. This is where large-scale system migrations come into play.

Traffic

Traffic Metrics Systems Strategy

Title Launch Observability at Netflix Scale

The Netflix TechBlog

DECEMBER 17, 2024

Option 1: Log Processing Log processing offers a straightforward solution for monitoring and analyzing title launches. To detect issues proactively, we need to simulate traffic and predict system behavior in advance. Once artificial traffic is generated, discarding the response object and relying solely on logs becomes inefficient.

Traffic

Traffic Scalability Strategy Monitoring

Title Launch Observability at Netflix Scale

The Netflix TechBlog

MARCH 4, 2025

Accurately Reflecting Production Behavior A key part of our solution is insights into production behavior, which necessitates our requests to the endpoint result in traffic to the real service functions that mimics the same pathways the traffic would take if it came from the usualcallers. there is a dedicated collector.

Traffic

Traffic Strategy Entertainment Innovation

Telltale: Netflix Application Monitoring Simplified

The Netflix TechBlog

AUGUST 13, 2020

You’re half awake and wondering, “Is there really a problem or is this just an alert that needs tuning? Over the years we’ve learned from on-call engineers about the pain points of application monitoring: too many alerts, too many dashboards to scroll through, and too much configuration and maintenance. Regional traffic evacuations.

Monitoring

Monitoring Tuning Traffic Metrics

Best Practices for Scaling RabbitMQ

Scalegrid

FEBRUARY 24, 2025

Scaling RabbitMQ ensures your system can handle growing traffic and maintain high performance. Optimizing RabbitMQ performance through strategies such as keeping queues short, enabling lazy queues, and monitoring health checks is essential for maintaining system efficiency and effectively managing high traffic loads.

Best Practices

Best Practices Traffic Strategy Efficiency

Easy SLA and SLO reporting for all your API endpoints with public synthetic HTTP monitors

Dynatrace

JUNE 26, 2020

Dynatrace Digital Experience Monitoring , as part of the Dynatrace Software Intelligence Platform, connects front-end monitoring and the outside-in user perspective with application performance to understand the impact of performance issues across your full stack on user experience and business outcomes. Virginia (Azure), N.

Monitoring

Monitoring Azure AWS Traffic

Introducing Impressions at Netflix

The Netflix TechBlog

FEBRUARY 14, 2025

Highlighting NewReleases For new content, impression history helps us monitor initial user interactions and adjust our merchandising efforts accordingly. Automating Performance Tuning with Autoscalers Tuning the performance of our Apache Flink jobs is currently a manual process.

Tuning

Tuning Latency Efficiency Storage

How digital experience monitoring helps deliver business observability

Dynatrace

APRIL 26, 2022

Digital experience monitoring (DEM) allows an organization to optimize customer experiences by taking into account the context surrounding digital experience metrics. What is digital experience monitoring? Primary digital experience monitoring tools.

Monitoring

Monitoring Social Media IoT Metrics

RabbitMQ vs. Kafka: Key Differences

Scalegrid

FEBRUARY 6, 2025

RabbitMQ can be deployed in distributed environments and includes monitoring tools through a built-in dashboard and CLI. Optimizing RabbitMQ requires clustering, queue management, and resource tuning to maintain stability and efficiency. However, performance can decline under high traffic conditions.

Latency

Latency Analytics Architecture Storage

Migrating Netflix to GraphQL Safely

The Netflix TechBlog

JUNE 14, 2023

The control group’s traffic utilized the legacy Falcor stack, while the experiment population leveraged the new GraphQL client and was directed to the GraphQL Shim. This helped us successfully migrate 100% of the traffic on the mobile homepage canvas to GraphQL in 6 months.

Traffic

Traffic Latency Metrics Cache

Kubernetes vs Docker: What’s the difference?

Dynatrace

SEPTEMBER 29, 2021

This opens the door to auto-scalable applications, which effortlessly matches the demands of rapidly growing and varying user traffic. For a deeper look into how to gain end-to-end observability into Kubernetes environments, tune into the on-demand webinar Harness the Power of Kubernetes Observability. Built-in monitoring.

Open Source

Open Source Traffic DevOps Cloud

Monitor client certificate-secured APIs with Dynatrace Synthetic

Dynatrace

OCTOBER 13, 2019

Dynatrace Synthetic monitors APIs with client certificate authentication. This allows you to monitor APIs that use mutual authentication based on X.509 They are, of course, not a complete solution, as they can be intercepted like any other network traffic. 509 certificate validation. How to get started. What’s next?

Monitoring

Monitoring IoT Tuning Traffic

Efficient SLO event integration powers successful AIOps

Dynatrace

APRIL 5, 2024

For instance, consider how fine-tuned failure rate detection can provide insights for comprehensive understanding. Please refer to How to fine-tune failure detection (dynatrace.com) for further information. Let’s assume we created a service-availability SLO, monitoring the request failure count against the overall request counts.

Efficiency

Efficiency Traffic Tuning Metrics

Unlock end-to-end observability insights with Dynatrace PurePath 4 seamless integration of OpenTracing for Java

Dynatrace

DECEMBER 9, 2020

Since “hope is not a strategy” when it comes to running software services, you need to eliminate bad monitoring and instead establish an observability strategy for your services, as well as for involved third-party libraries and frameworks, that provides actionable answers instead of just more data. What’s next?

Java

Java Traffic Architecture Strategy

Using Dynatrace to master the 5 pillars of the AWS Well-Architected Framework (Part 1)

Dynatrace

NOVEMBER 24, 2020

Do we have the right monitoring to understand the health and validation of architecture decisions and delivering on business expectations? through our AWS integrations and monitoring support. Seamless monitoring of AWS Services running in AWS Cloud and AWS Outposts. Stay tuned. How to get started.

AWS

AWS Artificial Intelligence Best Practices Lambda

Rapid Event Notification System at Netflix

The Netflix TechBlog

FEBRUARY 18, 2022

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. This separation allows us to tune system configuration and scaling policies independently for different event priorities and traffic patterns.

Systems

Systems Traffic Architecture Mobile

9 key DevOps metrics for success

Dynatrace

SEPTEMBER 28, 2021

Anything that takes more than a day could indicate poor alerting or poor monitoring and can result in a larger number of affected systems. To achieve quick MTTR metrics, deploy software in small increments to reduce risk and deploy automated monitoring solutions to preempt failure. Application usage and traffic.

DevOps

DevOps Metrics Traffic Efficiency

Build and operate multicloud FaaS with enhanced, intelligent end-to-end observability

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. Connect Dynatrace to your cloud-vendor to gather relevant infrastructure monitoring data, which gives you essential health insights. You can find the complete matrix of our support here.

Serverless

Serverless Lambda Azure AWS

Keeping Netflix Reliable Using Prioritized Load Shedding

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

Traffic Metrics Infrastructure Architecture

How to get the most value out of Session Replay: Use cases and examples

Dynatrace

AUGUST 14, 2019

At Dynatrace, we’re constantly striving to come up with solutions that can help modernize your performance and user experience monitoring strategies. Fine-tune Session Replay for your business purposes—examples. Cost and traffic control. The following settings can be applied: Cost and traffic control : 100%.

Traffic

Traffic Tuning Strategy Website

OneAgent for Linux on IBM Z (General Availability)

Dynatrace

NOVEMBER 20, 2019

Having released this functionality in an Early Adopter Release with OneAgent version 1.173 and Dynatrace version 1.174 back in August 2019, we’re now happy to announce the General Availability of OneAgent full-stack monitoring for Linux on the IBM Z platform, sometimes informally referred to as Z/Linux. What’s included.

Availability

Availability Hardware Java Tuning

Dynatrace Application Security detects and blocks attacks automatically in real-time

Dynatrace

FEBRUARY 10, 2022

WAFs protect the network perimeter and monitor, filter, or block HTTP traffic. Compared to intrusion detection systems (IDS/IPS), WAFs are focused on the application traffic. RASP solutions sit in or near applications and analyze application behavior and traffic. How to get started.

Traffic

Traffic Benchmarking Innovation Java

How Dynatrace boosts production resilience with Site Reliability Guardian

Dynatrace

MAY 17, 2023

We use monitored demo applications to deliver constant load and a defined set of business transactions. While the first guardian validates the traffic, the second guardian checks the business transactions generated during the observation period. The functionality is implemented via an automated workflow.

DevOps

DevOps Traffic Latency Best Practices

Dynatrace simplifies StatsD, Telegraf, and Prometheus observability with Davis AI

Dynatrace

OCTOBER 7, 2020

Stay tuned for an upcoming blog series where we’ll give you a more hands-on walkthrough of how to ingest any kind of data from StatsD, Telegraf, Prometheus, scripting languages, or our integrated REST API. Once you send metrics via the OneAgent REST API, the relevant hosts are automatically enriched with all available monitoring dimensions.

Open Source

Open Source Metrics Analytics Tuning

Gain fresh insights with key performance metrics for synthetic browser monitors

Dynatrace

APRIL 23, 2019

Synthetic monitors provide a perfect means of continually monitoring the performance baselines of your web applications. To provide our customers with the flexibility they need, we introduced the concept of key performance metrics in Real User Monitoring last year. Dynatrace news. Pick the best metrics for your application.

Metrics

Metrics Monitoring Performance Speed

What is web application security? Everything you need to know.

Dynatrace

JUNE 9, 2021

Web Application Firewall (WAF) helps protect a web application against malicious HTTP traffic. Positive filters are highly effective at blocking attacks but require constant tuning. Teams need to verify and potentially adjust this tuning every time the application changes. Of these, WAF is much more commonly used today.

Open Source

Open Source Entertainment Tuning Internet

Simplify observability for all your custom metrics (Part 2: OneAgent metric API)

Dynatrace

DECEMBER 22, 2020

This will allow you to monitor your application based on business metrics and trigger an alert if those metrics deviate from what’s normal for you app. This makes this API great for use in metric frameworks such as Spring Micrometer, Dropwizard, OpenTelemetry metrics, or other monitoring solutions, like Telegraf.

Metrics

Metrics Open Source Tuning Traffic

The road to observability demo part 3: Collect, instrument, and analyze telemetry data automatically with Dynatrace

Dynatrace

MAY 17, 2023

With that, we could make use of the full set of OpenTelemetry’s features to instrument and monitor our applications in the Dynatrace back end, including traces with spans and metrics. OneAgent is the native telemetry data collector and monitoring solution of Dynatrace.

Metrics

Metrics Monitoring Database Network

Best practices for alerting

Dynatrace

JULY 22, 2019

Old School monitoring. Basically, what we call “first-generation” monitoring software. Typically, applications owners who have little or no experience in monitoring, give requirements such as: “If there are more than 2 HTTP errors code (4xx and 5xx) report it immediately” or report any errors in the logs etc.

Best Practices

Best Practices Artificial Intelligence Monitoring Tuning

Automated observability, security, and reliability at scale

Dynatrace

JULY 18, 2023

Configuration files allow for the automatic creation, update, and management of configurations for dashboards, synthetic monitors, alerts, SLOs, and security settings across multiple environments. Stay tuned for more examples and easy-to-adopt automations provided in our public Github project.

Best Practices

Best Practices Code Infrastructure Latency

Get out-of-the-box visibility into your ARM platform (Early Adopter)

Dynatrace

MAY 1, 2020

We’re therefore happy to announce the Early Adopter release of OneAgent full-stack monitoring for Linux on the ARM 64-bit AArch64 architecture with OneAgent version 1.191. Here are details of the capabilities included in this release of OneAgent for Linux on the ARM platform: Deep-code monitoring. What’s included.

Java

Java Hardware Metrics Tuning

OneAgent for Linux on IBM Z now available in Early Adopter Release

Dynatrace

AUGUST 8, 2019

We’re happy to announce the Early Adopter Release of OneAgent full-stack monitoring for Linux on the IBM Z platform, sometimes informally referred to as Z/Linux (available with OneAgent version 1.173 and Dynatrace version 1.174). Mainframe monitoring is an area of significant investment for Dynatrace. Dynatrace news.

Availability

Availability Hardware Java Tuning

Crucial Redis Monitoring Metrics You Must Watch

Scalegrid

JANUARY 25, 2024

You will need to know which monitoring metrics for Redis to watch and a tool to monitor these critical server metrics to ensure its health. This blog post lists the important database metrics to monitor. Effective monitoring of key performance indicators plays a crucial role in maintaining this optimal speed of operation.

Metrics

Metrics Monitoring Latency Cache

Introducing Netflix TimeSeries Data Abstraction Layer

The Netflix TechBlog

OCTOBER 8, 2024

Handling Bursty Traffic : Managing significant traffic spikes during high-demand events, such as new content launches or regional failovers. Sharded Infrastructure : Leveraging the Data Gateway Platform , we can deploy single-tenant and/or multi-tenant infrastructure with the necessary access and traffic isolation.

Latency

Latency Storage Traffic Tuning

Dynatrace PurePath 4 integrates OpenTelemetry and the latest cloud-native technologies and provides analytics and AI at scale

Dynatrace

NOVEMBER 17, 2020

Methods include the observability capabilities of the platforms their applications run on; monitoring tools, OpenTelemetry, OpenTracing, OpenMonitor, OpenCensus, Jaeger, Zipkin, Log, CloudWatch, and more. Just one command instruments your entire application environment for monitoring. Automatic topology analysis.

Analytics

Analytics Technology Technology Cloud

Data lakehouse innovations advance the three pillars of observability for more collaborative analytics

Dynatrace

FEBRUARY 16, 2023

For example, these include verifying app deployments, isolating faults coming from a single IP address, identifying root causes of traffic spikes, or investigating malicious user activity. Traces on Grail Traces are another area where cloud-native technologies have complicated application and microservices monitoring.

Analytics

Analytics Innovation Metrics Database

Dynatrace Cloud Automation Module provides observability-driven automation across the full lifecycle

Dynatrace

FEBRUARY 10, 2021

This capability provides version information along with an additional insight into traffic and problems per version. Dynatrace Cloud Automation provides guidance and templates for defining Service Level Objectives (SLOs) for production monitoring. Automated SLO validation and quality gates. What’s next.

Cloud

Cloud DevOps Speed Metrics

Building Netflix’s Distributed Tracing Infrastructure

The Netflix TechBlog

OCTOBER 19, 2020

Additionally, it became easy to provide deep links to different monitoring and deployment systems in Edgar due to consistent tagging. Our engineering teams tuned their services for performance after factoring in increased resource utilization due to tracing.

Infrastructure

Infrastructure Transportation Storage Open Source

In-product guidance accelerates Service Level Objectives (SLO) setup for confident deployments

Dynatrace

DECEMBER 9, 2020

The Dynatrace Software Intelligence Platform delivers all the necessary Service-Level Indicators (SLIs) for defining your Service-Level Objectives (SLOs) and monitors the status and error budgets of those objectives. The SLO wizard gives you guidance on creating SLOs based on the metrics (SLIs) Dynatrace monitors for your environment.

Metrics

Metrics Engineering Google Monitoring

Orchestrating Data/ML Workflows at Scale With Netflix Maestro

The Netflix TechBlog

OCTOBER 18, 2022

We started seeing signs of scale issues, like: Slowness during peak traffic moments like 12 AM UTC, leading to increased operational burden. The scheduler on-call has to closely monitor the system during non-business hours. At Netflix, the peak traffic load can be a few orders of magnitude higher than the average load.

Java

Java Scalability Traffic Architecture

Python at Netflix

The Netflix TechBlog

APRIL 29, 2019

Demand Engineering Demand Engineering is responsible for Regional Failovers , Traffic Distribution, Capacity Operations and Fleet Efficiency of the Netflix cloud. Our Infrastructure Security team leverages Python to help with IAM permission tuning using Repokid. We are proud to say that our team’s tools are built primarily in Python.

Open Source

Open Source Network Infrastructure Big Data

Why PostgreSQL Is a Top Choice for Enterprise-level Databases

Percona

MARCH 23, 2023

PostgreSQL supports sharding, which allows data to be distributed across multiple servers, making it ideal for high-traffic websites and applications. It has a proven track record of handling large volumes of data and high-traffic websites. Reliability PostgreSQL is known for its reliability and stability.

Database

Database Open Source Traffic Small Business

Towards a Reliable Device Management Platform

The Netflix TechBlog

AUGUST 30, 2021

Canary Test Workloads In addition to serving the regular message traffic between users and DUTs, the control plane itself is stress-tested at roughly 3-hour intervals, where nearly 3000 ephemeral MQTT clients are created to connect to and generate flash traffic on the MQTT brokers.

Latency

Latency Traffic Transportation Cloud

Migrating Critical Traffic At Scale with No Downtime?—?Part 1

Migrating Critical Traffic At Scale with No Downtime?—?Part 2

Trending Sources

Title Launch Observability at Netflix Scale

Title Launch Observability at Netflix Scale

Telltale: Netflix Application Monitoring Simplified

Best Practices for Scaling RabbitMQ

Easy SLA and SLO reporting for all your API endpoints with public synthetic HTTP monitors

Introducing Impressions at Netflix

How digital experience monitoring helps deliver business observability

RabbitMQ vs. Kafka: Key Differences

Migrating Netflix to GraphQL Safely

Kubernetes vs Docker: What’s the difference?

Monitor client certificate-secured APIs with Dynatrace Synthetic

Efficient SLO event integration powers successful AIOps

Unlock end-to-end observability insights with Dynatrace PurePath 4 seamless integration of OpenTracing for Java

Using Dynatrace to master the 5 pillars of the AWS Well-Architected Framework (Part 1)

Rapid Event Notification System at Netflix

9 key DevOps metrics for success

Build and operate multicloud FaaS with enhanced, intelligent end-to-end observability

Keeping Netflix Reliable Using Prioritized Load Shedding

How to get the most value out of Session Replay: Use cases and examples

OneAgent for Linux on IBM Z (General Availability)

Dynatrace Application Security detects and blocks attacks automatically in real-time

How Dynatrace boosts production resilience with Site Reliability Guardian

Dynatrace simplifies StatsD, Telegraf, and Prometheus observability with Davis AI

Gain fresh insights with key performance metrics for synthetic browser monitors

What is web application security? Everything you need to know.

Simplify observability for all your custom metrics (Part 2: OneAgent metric API)

The road to observability demo part 3: Collect, instrument, and analyze telemetry data automatically with Dynatrace

Best practices for alerting

Automated observability, security, and reliability at scale

Get out-of-the-box visibility into your ARM platform (Early Adopter)

OneAgent for Linux on IBM Z now available in Early Adopter Release

Crucial Redis Monitoring Metrics You Must Watch

Introducing Netflix TimeSeries Data Abstraction Layer

Dynatrace PurePath 4 integrates OpenTelemetry and the latest cloud-native technologies and provides analytics and AI at scale

Data lakehouse innovations advance the three pillars of observability for more collaborative analytics

Dynatrace Cloud Automation Module provides observability-driven automation across the full lifecycle

Building Netflix’s Distributed Tracing Infrastructure

In-product guidance accelerates Service Level Objectives (SLO) setup for confident deployments

Orchestrating Data/ML Workflows at Scale With Netflix Maestro

Python at Netflix

Why PostgreSQL Is a Top Choice for Enterprise-level Databases

Towards a Reliable Device Management Platform

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