Dynatrace

AUGUST 25, 2023

According to the Google Site Reliability Engineering (SRE) handbook, monitoring the four golden signals is crucial in delivering high-performing software solutions. These signals ( latency, traffic, errors, and saturation ) provide a solid means of proactively monitoring operative systems via SLOs and tracking business success.

Performance 244

Performance Latency Traffic Metrics 244

Dynatrace

JUNE 25, 2020

The network latency between cluster nodes should be around 10 ms or less. Minimized cross-data center network traffic. – A Dynatrace customer, Head of Performance Engineering. Regular Dynatrace Managed deployments can work seamlessly when a maximum of two nodes are down at a time and the network has low latency.

Availability 264

Availability Hardware Latency Traffic 264

The Netflix TechBlog

FEBRUARY 9, 2021

Growth Engineering at Netflix?—?Automated In the Growth Engineering team, we refer to this as the top of the signup funnel. For more background on the signup funnel and Growth Engineering’s role in the signup funnel, please read our initial post on the topic: Growth Engineering at Netflix? Accelerating Innovation.

Engineering 172

Engineering Storage Latency Entertainment 172

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. Useful for keeping “n-newest” or prefix path deletion.

Latency 260

Latency Storage Cache Efficiency 260

Uber Engineering

OCTOBER 17, 2018

To accomplish this, Uber relies heavily on making data-driven decisions at every level, from forecasting rider demand during high traffic events to identifying and addressing bottlenecks … The post Uber’s Big Data Platform: 100+ Petabytes with Minute Latency appeared first on Uber Engineering Blog.

Big Data 109

Big Data Latency Transportation Traffic 109

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

MAY 31, 2023

Site reliability engineering (SRE) has recently become a critical discipline in recent years as the world has shifted in favor of web-based interactions. This shift is leading more organizations to hire site reliability engineers to guarantee the reliability and resiliency of their services. Mobile retail e-commerce spending in the U.

Best Practices 246

Best Practices DevOps Latency Metrics 246

Dynatrace

DECEMBER 27, 2022

SLOs can be a great way for DevOps and infrastructure teams to use data and performance expectations to make decisions, such as whether to release and where engineers should focus their time. Latency is the time that it takes a request to be served. SLOs aid decision making. SLOs promote automation. Define SLOs for each service.

Software 306

Software Software Benchmarking Latency 306

Dynatrace

FEBRUARY 15, 2023

This is where Site Reliability Engineering (SRE) practices are applied. 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.

DevOps 246

DevOps Latency Traffic Best Practices 246

Dynatrace

JUNE 1, 2023

Note : you might hear the term latency used instead of response time. Both latency and response time are critical to ensure reliability. Latency typically refers to the time it takes for a single request to travel from its source to its destination. Latency primarily focuses on the time spent in transit.

Latency 245

Latency Website Traffic Virtualization 245

The Netflix TechBlog

SEPTEMBER 10, 2024

By Jose Fernandez , Sebastien Dabdoub , Jason Koch , Artem Tkachuk The Compute and Performance Engineering teams at Netflix regularly investigate performance issues in our multi-tenant environment. To emit a run queue latency metric, we leveraged three eBPF hooks: sched_wakeup, sched_wakeup_new, and sched_switch.

Latency 262

Latency Metrics Programming Monitoring 262

DZone

MARCH 14, 2023

As an engineer, you probably know that server performance under heavy load is crucial for maintaining the availability and responsiveness of your services. But what happens when traffic bursts overwhelm your system? Queueing requests is a common solution, but what's the best approach: FIFO or LIFO?

Strategy 147

Strategy Latency Availability Traffic 147

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

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. This avoids thrashing caches too much for B and evens out the pressure on the L3 caches of the machine.

Cache 258

Cache Latency Airlines Logistics 258

Dynatrace

MARCH 16, 2023

So how do development and operations (DevOps) teams and site reliability engineers (SREs) distinguish among good, great, and suboptimal SLOs? 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.

DevOps 264

DevOps Latency Metrics Traffic 264

The Netflix TechBlog

NOVEMBER 3, 2022

In that scenario, the system would need to deal with the data propagation latency directly, for example, by use of timeouts or client-originated update tracking mechanisms. With traffic growth, a single leader node handling all request volume started becoming overloaded. The cache is kept in sync with the current leader process.

Cache 233

Cache Latency Traffic Systems 233

The Netflix TechBlog

SEPTEMBER 8, 2020

This allowed Android engineers to have much more control and observability over how we get our data. For each route we migrated, we wanted to make sure we were not introducing any regressions: either in the form of missing (or worse, wrong) data, or by increasing the latency of each endpoint. Replay Testing Enter replay testing.

Latency 241

Latency Cache Java Traffic 241

Dynatrace

AUGUST 27, 2024

This can require process re-engineering to fill gaps and ensuring clear communication and collaboration across security, operations, and development teams. Moreover, the Davis AI engine assists in prioritizing what needs to be fixed first. The Dynatrace platform also delivers runtime application protection for common attack types.

Best Practices 290

Best Practices Government DevOps Analytics 290

Dynatrace

MAY 19, 2022

A service-level objective ( SLO ) is the new contract between business, DevOps, and site reliability engineers (SREs). In their new dashboard, they added dimensions for load, latency, and open problems for each component. The “Four Golden Signals” include the following: Latency. SLO dashboard defined by architectural boundary.

Automotive 290

Automotive Latency Architecture Azure 290

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 We needed to increase engineering productivity via distributed request tracing. That is the first question our engineering teams asked us when integrating the tracer library.

Infrastructure 238

Infrastructure Transportation Storage 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. This can dramatically decrease network latency and its effect on the end-user experience.

Cloud 241

Cloud Traffic Best Practices Strategy 241

The Netflix TechBlog

NOVEMBER 22, 2019

by Shefali Vyas Dalal AWS re:Invent is a couple weeks away and our engineers & leaders are thrilled to be in attendance yet again this year! 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.

AWS 38

AWS Entertainment Open Source Benchmarking 38

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 238

Processing Media Latency Innovation 238

The Netflix TechBlog

AUGUST 13, 2020

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. A regional traffic shift means one region ends up with zero traffic while another region has double.

Monitoring 219

Monitoring Tuning Traffic Metrics 219

Dynatrace

JUNE 1, 2023

Note : you might hear the term latency used instead of response time. Both latency and response time are critical to ensure reliability. Latency typically refers to the time it takes for a single request to travel from its source to its destination. Latency primarily focuses on the time spent in transit.

Traffic 173

Traffic Website Latency Virtualization 173

Dynatrace

JUNE 27, 2022

RUM, however, has some limitations, including the following: RUM requires traffic to be useful. Because RUM relies on user-generated traffic, it’s hard to indicate persistent issues across the board. connectivity, access, user count, latency) of geographic regions. Real user monitoring limitations.

Best Practices 244

Best Practices Monitoring Wireless Traffic 244

Dynatrace

JULY 18, 2023

Efficient environment configuration at scale One of software engineers’ most significant challenges is managing the numerous tools and technologies required for the software product lifecycle. Development teams must set up tailored configurations for each tool and component they’re responsible for.

Best Practices 246

Best Practices Code Infrastructure Latency 246

The Netflix TechBlog

MAY 14, 2021

Prodicle is one of the many applications that is at the exciting intersection of connecting the world of content productions to Netflix Studio Engineering. Prodicle Distribution Our service is required to be elastic and handle bursty traffic. Things got hairy. We wanted a scalable service that was near real-time, 2.

Traffic 166

Traffic Java Latency Google 166

The Netflix TechBlog

AUGUST 29, 2023

In order for a service to talk to another, it needs to know two things: the name of the destination service, and whether or not the traffic should be secure. The ability to run in a degraded but available state during an outage is still a marked improvement over completely stopping traffic flow.

Traffic 229

Traffic Latency Cloud C++ 229

Dynatrace

JULY 6, 2020

Azure Traffic Manager. All this comes with the Dynatrace zero-configuration approach, automatic service detection, continuous data capture in context, and answers, not just data, from the Dynatrace Davis AI engine, making you ready for large-scale Azure deployments. Azure Batch. Azure DB for MariaDB. Azure DB for MySQL.

Azure 227

Azure Cloud Big Data Virtualization 227

Dynatrace

JULY 24, 2023

Imagine having an AI engine that comprehends the complete context of the transaction and intelligently determines whether to send a discount code—and which one to send. Full contextual awareness helps the AI engine make informed decisions. Has the user purchased this product before?

DevOps 246

DevOps Traffic Efficiency Servers 246

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 246

Monitoring Social Media IoT Metrics 246

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.

Scalability 162

Scalability Database Ecommerce Latency 162

Adrian Cockcroft

MAY 6, 2023

Then they tried to scale it to cope with high traffic and discovered that some of the state transitions in their step functions were too frequent, and they had some overly chatty calls between AWS lambda functions and S3. A real-time user experience analytics engine for live video, that looked at all users rather than a subsample.

Serverless 145

Serverless Lambda Best Practices Traffic 145

DZone

DECEMBER 8, 2021

A good SRE engineer will tell you your service is never down. A great SRE engineer will tell you that’s not what you should be measuring. In fact, they’ll tell you their job is customer service.

Engineering 245

Engineering Scalability Systems Traffic 245

The Netflix TechBlog

MARCH 7, 2024

Without these integrations, projects would be stuck at the prototyping stage, or they would have to be maintained as outliers outside the systems maintained by our engineering teams, incurring unsustainable operational overhead. Importantly, all the use cases were engineered by practitioners themselves.

Systems 235

Systems Media Cache Open Source 235

Alex Russell

FEBRUARY 28, 2022

The chief effect of the architectural difference is to shift the distribution of latency within the loop. Herein lies the source of our collective anxiety about front-end architectures: traversing networks is always fraught, but the costs to deliver client-side logic to cushion users from variable network latency remain stubbornly high.

Performance 113

Performance Latency Architecture Network 113