Scalegrid

FEBRUARY 6, 2025

Its partitioned log architecture supports both queuing and publish-subscribe models, allowing it to handle large-scale event processing with minimal latency. Apache Kafka uses a custom TCP/IP protocol for high throughput and low latency. However, performance can decline under high traffic conditions.

Latency 147

Latency Analytics Architecture Storage 147

Dynatrace

FEBRUARY 21, 2024

Automating quality gates is ideal, as it minimizes manually checking and validating key metrics throughout the SDLC. By actively monitoring metrics such as error rate, success rate, and CPU load, quality gates instill confidence in teams during software releases. Several tools can be used to collect metrics in load/performance testing.

Speed 264

Speed Software Software Latency 264

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. While this connection might sound simple, finding the right metrics to measure the needed SLIs takes time and effort.

Performance 244

Performance Latency Traffic Metrics 244

Dynatrace

DECEMBER 27, 2022

By implementing service-level objectives, teams can avoid collecting and checking a huge amount of metrics for each service. 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. So how can teams start implementing SLOs?

Software 306

Software Software Benchmarking Latency 306

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 262

Latency Metrics Programming Monitoring 262

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

Dynatrace

JUNE 1, 2023

Certain SLOs can help organizations get started on measuring and delivering metrics that matter. With this objective, the app ensures that users experience real-time feedback and immediate updates when logging workouts, recording sets and reps, or tracking performance metrics. Latency primarily focuses on the time spent in transit.

Website 245

Website Latency Traffic DevOps 245

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 264

DevOps Latency Metrics Traffic 264

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 261

Traffic Metrics Infrastructure Architecture 261

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. 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.

Availability 264

Availability Hardware Latency Traffic 264

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 246

Best Practices DevOps Latency Metrics 246

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 246

DevOps Latency Traffic Best Practices 246

Dynatrace

MAY 19, 2022

In their new dashboard, they added dimensions for load, latency, and open problems for each component. This greatly reduced the number of metrics to manage and provided a more comprehensive picture of what was behind their primary reliability service-level objective. The “Four Golden Signals” include the following: Latency.

Automotive 290

Automotive Latency Architecture Azure 290

The Netflix TechBlog

SEPTEMBER 8, 2020

To prepare ourselves for a big change in the tech stack of our endpoint, we decided to track metrics around the time taken to respond to queries. After some consultation with our backend teams, we determined the most effective way to group these metrics were by UI screen. Replay Testing Enter replay testing.

Latency 241

Latency Cache Java Traffic 241

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

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

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. Observability is typically achieved by collecting three types of data from a system, metrics, logs and traces.

Serverless 246

Serverless Lambda Azure AWS 246

Dynatrace

JUNE 8, 2020

Dynatrace Mission Control collects the health monitoring observability metrics for both our Dynatrace SaaS as well as Dynatrace Managed customers. Metrics are provided for general host info like CPU usage and memory consumption, OneAgent traffic, and network latency. Enroll now. What’s next.

Software 214

Software Software Programming Metrics 214

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 239

Latency Storage Traffic Tuning 239

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

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). Real user monitoring limitations.

Best Practices 244

Best Practices Monitoring Wireless Traffic 244

The Netflix TechBlog

AUGUST 13, 2020

A metric crossed a threshold. Metrics are a key part of understanding application health. But sometimes you can have too many metrics, too many graphs, and too many dashboards. Telltale uses a variety of signals from multiple sources to assemble a constantly evolving model of the application’s health: Atlas time series metrics.

Monitoring 219

Monitoring Tuning Traffic Metrics 219

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

JULY 6, 2020

Azure Traffic Manager. While the Azure overview page in Dynatrace has long featured monitoring data detected by OneAgent, with additional metrics pulled from Azure Monitor and topology information from Azure Resource Graph, the overview page now gives you quick access to the newly added services, which are listed under Supporting services.

Azure 227

Azure Cloud Big Data Virtualization 227

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. million elements.

Latency 222

Latency Traffic Transportation Cloud 222

Dynatrace

JUNE 1, 2023

Certain service-level objective examples can help organizations get started on measuring and delivering metrics that matter. With this objective, the app ensures that users experience real-time feedback and immediate updates when logging workouts, recording sets and reps, or tracking performance metrics. The Apdex score of 0.85

Traffic 173

Traffic Website Latency DevOps 173

Dynatrace

AUGUST 27, 2024

Early warning indicators Dynatrace provides metrics including service-level objectives (SLOs) and service-level indicators (SLIs) that allow teams to predict problems before they occur and especially before they impact customers.

Best Practices 290

Best Practices Government DevOps Analytics 290

Scalegrid

DECEMBER 16, 2019

Azure and found that DigitalOcean performance was in line with, if not better, on both high throughput and low latency in the deployment. While adequate for low-traffic applications, small databases, and dev/test environments, we recommend against leveraging shared clusters for your MongoDB production deployments.

Azure 187

Azure AWS Database Latency 187

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). This can result in significant cost savings for high traffic applications. Learn more.

Cloud 242

Cloud Azure AWS Database 242

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

The Netflix TechBlog

AUGUST 16, 2023

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. There is effectively no churn of connections, even at peak traffic.

Traffic 178

Traffic Servers Google Metrics 178

The Netflix TechBlog

OCTOBER 19, 2020

If we had an ID for each streaming session then distributed tracing could easily reconstruct session failure by providing service topology, retry and error tags, and latency measurements for all service calls. Using simple lookup indices in Cassandra gives us the ability to maintain acceptable read latencies while doing heavy writes.

Infrastructure 238

Infrastructure Transportation Storage Open Source 238

The Netflix TechBlog

NOVEMBER 2, 2021

In particular, the VMAF metric lies at the core of improving the Netflix member’s streaming video quality. This enables us to use our scale to increase throughput and reduce latencies. Here, based on the video length, the throughput and latency requirements, available scale etc., Assembly for two of the metrics (e.g.

Media 178

Media Innovation Metrics Latency 178

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

Dynatrace

AUGUST 5, 2019

Resource consumption & traffic analysis. What is the network traffic going to be between services we migrate and those that have to stay in the current data center? How much traffic is sent between two processes hosting a certain service? Step 3: Detailed Traffic Dependency Analysis. What’s in your stack?”.

Cloud 38

Cloud Traffic Database Network 38

Highly Scalable

MAY 1, 2012

This approach often leads to heavyweight high-latency analytical processes and poor applicability to realtime use cases. Computation of more advanced metrics like a number of unique visitor or most frequent items is more challenging and requires a lot of resources if implemented straightforwardly. Case Study. Case Study. Case Study.

Analytics 191

Analytics Traffic Big Data Efficiency 191

All Things Distributed

JANUARY 18, 2012

s web-based applications often encounter database scaling challenges when faced with growth in users, traffic, and data. Behind the scenes, Amazon DynamoDB automatically spreads the data and traffic for a table over a sufficient number of servers to meet the request capacity specified by the customer. Consistency. SimpleDBâ??s

Scalability 162

Scalability Database Ecommerce Latency 162