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 147

Best Practices Traffic Strategy Efficiency 147

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 334

Systems Traffic Architecture Mobile 334

Scalegrid

FEBRUARY 6, 2025

Optimizing RabbitMQ requires clustering, queue management, and resource tuning to maintain stability and efficiency. However, performance can decline under high traffic conditions. It also provides an HTTP API for retrieving performance metrics and a command-line tool for advanced management tasks.

Latency 147

Latency Analytics Architecture Storage 147

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. SLOs must be evaluated at 100%, even when there is currently no traffic. What characterizes a weak SLO?

Efficiency 264

Efficiency Traffic Tuning Metrics 264

The Netflix TechBlog

AUGUST 13, 2020

A metric crossed a threshold. You’re half awake and wondering, “Is there really a problem or is this just an alert that needs tuning? Telltale learns what constitutes typical health for an application, no alert tuning required. Metrics are a key part of understanding application health. Regional traffic evacuations.

Monitoring 216

Monitoring Tuning Traffic Metrics 216

Dynatrace

JULY 2, 2020

Unnecessary traffic between such data centers can result in wasted resources, unpredictable downtimes, and lost business. By minimizing bandwidth and preventing unrelated traffic between data centers, you can maintain healthy network infrastructure and save on costs. optimizing traffic routing. What’s next.

Network 240

Network Traffic Infrastructure Tuning 240

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 258

Traffic Metrics Infrastructure Architecture 258

Dynatrace

OCTOBER 7, 2020

Open-source metric sources automatically map to our Smartscape model for AI analytics. We’ve just enhanced Dynatrace OneAgent with an open metric API. Here’s a quick overview of what you can achieve now that the Dynatrace Software Intelligence Platform has been extended to ingest third-party metrics. Dynatrace news.

Open Source 264

Open Source Metrics Analytics Tuning 264

Dynatrace

DECEMBER 9, 2020

Dynatrace is fully committed to the OpenTelemetry community and to the seamless integration of OpenTelemetry data , including ingestion of custom metrics , into the Dynatrace open analytics platform. With Dynatrace OneAgent you also benefit from support for traffic routing and traffic control. What’s next?

Java 264

Java Traffic Architecture Strategy 264

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. What is Docker? Networking.

Open Source 334

Open Source DevOps Traffic Cloud 334

Dynatrace

NOVEMBER 24, 2020

Automatic collection of the entire set of services that publish metrics to Amazon CloudWatch. these metrics are also automatically analyzed by Dynatrace’s AI engine, Davis ). Dynatrace as a managed AWS workload, and as an option, have the network traffic to Dynatrace run over PrivateLink so that traffic never leaves AWS.

AWS 221

AWS Artificial Intelligence Best Practices Lambda 221

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. Observability is typically achieved by collecting three types of data from a system, metrics, logs and traces. The elasticity of serverless services helps organizations scale as needed.

Serverless 246

Serverless Lambda Azure AWS 246

The Netflix TechBlog

AUGUST 10, 2020

264/AVC Main profile family still represents a substantial portion of the members viewing hours and an even larger portion of the traffic. These are summarized below: Instead of relying on other objective metrics, such as PSNR†, VMAF is employed to guide optimization decisions. Further tuning of pre-defined encoding parameters.

Innovation 242

Innovation Traffic Network Efficiency 242

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. It is proactive monitoring that simulates traffic with established test variables, including location, browser, network, and device type.

Monitoring 246

Monitoring Social Media IoT Metrics 246

Dynatrace

APRIL 23, 2019

However, understanding the performance of different application types requires an emphasis on different performance metrics, that is, key performance metrics. For many traditional web applications , User action duration is considered the best metric available for web-performance optimization.

Metrics 140

Metrics Monitoring Performance Speed 140

Dynatrace

NOVEMBER 20, 2019

Host performance is tracked via high-level health metrics on the home dashboard to details for each of the hosts. For details on available metrics, see our help page on host performance monitoring. Network metrics are also collected for detected processes. Disk metrics are collected for each discovered disk.

Availability 43

Availability Hardware Java Tuning 43

Dynatrace

MAY 17, 2023

While the first guardian validates the traffic, the second guardian checks the business transactions generated during the observation period. In this case, the four golden signals (latency, traffic, errors, and saturation) are derived from span attributes and DQL metric queries via Dynatrace Grail™.

DevOps 246

DevOps Traffic Latency Best Practices 246

Dynatrace

FEBRUARY 16, 2023

The short answer: The three pillars of observability—logs, metrics, and traces—converging on a data lakehouse. You’re getting all the architectural benefits of Grail—the petabytes, the cardinality—with this implementation,” including the three pillars of observability: logs, metrics, and traces in context.

Analytics 246

Analytics Innovation Metrics Database 246

Dynatrace

JUNE 26, 2020

Dynatrace Synthetic Monitoring helps you quickly verify if your application is delivering the expected end user experience by offering an outside-in view of all your applications and services, independent of real traffic. So stay tuned! Automated SLA/SLO monitoring using the HTTP monitoring API.

Monitoring 264

Monitoring Azure AWS Traffic 264

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. Redis returns a big list of database metrics when you run the info command on the Redis shell. You can pick a smart selection of relevant metrics from these.

Metrics 130

Metrics Monitoring Latency Cache 130

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 243

Metrics Database Monitoring Network 243

Dynatrace

MAY 1, 2020

Host performance is tracked via high-level health metrics with details for each host (these appear on your home dashboard by default). For details on available metrics, see host performance monitoring. Network metrics are also collected for detected processes. Disk metrics are collected for each discovered disk.

Java 182

Java Hardware Metrics Tuning 182

Dynatrace

AUGUST 8, 2019

Host performance is tracked via high-level health metrics on the home dashboard to details for each of the hosts. For details on available metrics, see our help page on host performance monitoring. Network metrics are also collected for detected processes. Disk metrics are collected for each discovered disk.

Availability 34

Availability Hardware Java Tuning 34

Dynatrace

FEBRUARY 10, 2021

This capability provides version information along with an additional insight into traffic and problems per version. This enables you to easily make use of the more than 2,000 out of the box metrics provided by Dynatrace as well as bringing in your custom metrics and data ingest. What’s next.

Cloud 242

Cloud DevOps Speed Metrics 242

The Netflix TechBlog

OCTOBER 8, 2024

We do not use it for metrics, histograms, timers, or any such near-real time analytics use case. Handling Bursty Traffic : Managing significant traffic spikes during high-demand events, such as new content launches or regional failovers. Those use cases are well served by the Netflix Atlas telemetry system.

Latency 237

Latency Storage Traffic Tuning 237

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. One example is the Spectator Python client library, a library for instrumenting code to record dimensional time series metrics.

Open Source 280

Open Source Network Infrastructure Big Data 280

Dynatrace

JULY 24, 2023

Observability data provides a treasure trove of performance, stability, and user experience metrics encompassing error rates, response times, and user engagement. With swift precision, an answer-driven automation solution that uses causal AI can transform these metrics into invaluable insights.

DevOps 246

DevOps Traffic Efficiency Servers 246

Dynatrace

DECEMBER 9, 2020

Which metrics are relevant for your business, anyway? Modern observability tools provide many metrics, but which ones are really important for your business? Dynatrace offers more than 2000 different metrics that are ready for use as dedicated SLIs. Read more about the basics of Site Reliability Engineering below.).

Metrics 231

Metrics Engineering Google Monitoring 231

Dynatrace

NOVEMBER 17, 2020

The seamless integration enables enrichment of your OpenTelemetry metrics and traces with insights from the Dynatrace Software Intelligence Platform. Well-defined metrics for your applications and microservices should also be at the heart of your technical analysis. So please stay tuned for updates.

Analytics 236

Analytics Technology Technology Cloud 236

Dynatrace

JULY 22, 2019

For instance, when there isn’t enough traffic (late at night), the AI will not act to avoid alert spamming. It doesn’t apply to infrastructure metrics such as CPU or memory. If you want to understand how Dynatrace detects errors, read my other blog on how to fine-tune it ! This is called a frequent issue.

Best Practices 217

Best Practices Artificial Intelligence Monitoring Tuning 217

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 220

Latency Traffic Transportation Cloud 220

The Netflix TechBlog

NOVEMBER 2, 2021

In particular, the VMAF metric lies at the core of improving the Netflix member’s streaming video quality. The request provides the source and the derivative whose quality is to be computed and requests that the VQS provides quality scores using VMAF, PSNR and SSIM as quality metrics. Assembly for two of the metrics (e.g.

Media 176

Media Innovation Metrics Latency 176

The Netflix TechBlog

OCTOBER 19, 2020

We took a hybrid head-based sampling approach that allows for recording 100% of traces for a specific and configurable set of requests, while continuing to randomly sample traffic per the policy set at ingestion point.

Infrastructure 237

Infrastructure Transportation Storage Open Source 237

Tim Kadlec

MAY 21, 2020

By serving one version of the site with instant.page in place to some traffic, and a site without it to another, I could compare the performance of them both over the same timespan and see how it shakes out. It would have only taken moments in SpeedCurve to see live traffic come through, but I’m an impatient person.

Testing 128

Testing Traffic Tuning Code 128

Percona

SEPTEMBER 1, 2023

While there is no magic bullet for MySQL performance tuning, there are a few areas that can be focused on upfront that can dramatically improve the performance of your MySQL installation. What are the Benefits of MySQL Performance Tuning? A finely tuned database processes queries more efficiently, leading to swifter results.

Tuning 52

Tuning Database Performance Hardware 52

The Netflix TechBlog

JULY 26, 2021

Data Quality Data Mesh provides metrics and dashboards at both the processor and pipeline level for operational observability. It is generating heartbeat signals at a constant frequency with the objective of using them as a baseline to verify the health of the pipeline regardless of traffic patterns or occasional silences.

Big Data 256

Big Data Government Processing Analytics 256

The Netflix TechBlog

OCTOBER 18, 2019

The key insight was that by assuming a latent Gaussian Process (GP) prior on the key business metric actions like viral engagement, job applications, etc., And finally each new observation needs to update the policy, compute offline policy evaluation metrics and then push the policy back to production so it can generate new intents to treat.

Infrastructure 130

Infrastructure Metrics Architecture Efficiency 130