Scalegrid

FEBRUARY 24, 2025

Youll also learn strategies for maintaining data safety and managing node failures so your RabbitMQ setup is always up to the task. They can be mirrored and configured for either availability or consistency, providing different strategies for managing network partitions.

Best Practices 147

Best Practices Traffic Strategy Scalability 147

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? Using the source of truth: Logs serve as a reliable source of truth by providing a comprehensive record of system events.

Traffic 172

Traffic Scalability Strategy Monitoring 172

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

DZone

SEPTEMBER 14, 2022

Typically in low-latency development, a trade-off must be made between minimizing latency and avoiding excessive CPU utilization. In a typical application stack, multiple threads are used for servicing events, processing data, pipelining, and so on. Description of the Problem.

Latency 130

Latency Open Source Strategy Design 130

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 14, 2023

The three strategies we will discuss today are AB Testing , Replay Testing, and Sticky Canaries. Let’s discuss the three testing strategies in further detail. To determine customer impact, we could compare various metrics such as error rates, latencies, and time to render.

Traffic 357

Traffic Latency Metrics Cache 357

Dynatrace

JULY 22, 2024

Text-based records of events and activities generated by applications and infrastructure components. Traces are used for performance analysis, latency optimization, and root cause analysis. Logs are detailed records of events that happen within an application. Logs are used for debugging, troubleshooting, and auditing purposes.

Latency 264

Latency Best Practices Metrics Open Source 264

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

MAY 23, 2024

Stream processing systems, designed for continuous, low-latency processing, demand swift recovery mechanisms to tolerate and mitigate failures effectively. After failures, Kafka Streams’ partition assignment strategy, triggered by rebalances, causes its executions to accumulate more lag. This significantly increases event latency.

Engineering 245

Engineering Tuning Latency Open Source 245

The Netflix TechBlog

MAY 4, 2023

This blog series will examine the tools, techniques, and strategies we have utilized to achieve this goal. In this testing strategy, we execute a copy (replay) of production traffic against a system’s existing and new versions to perform relevant validations. This approach has a handful of benefits.

Traffic 347

Traffic Latency Tuning Systems 347

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. For simpler use cases, it also represents flat key-value Maps (e.g.

Latency 260

Latency Storage Cache Servers 260

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. We started seeing increased response latencies and leader servers running at dangerously high utilization. Let’s assume a sequence of events E?…E??,

Cache 233

Cache Latency Traffic Systems 233

Dynatrace

SEPTEMBER 13, 2023

Because Google offers its own Google Cloud Architecture Framework and Microsoft its Azure Well-Architected Framework , organizations that use a combination of these platforms triple the challenge of integrating their performance frameworks into a cohesive strategy. SRG validates the status of the resiliency SLOs for the experiment period.

AWS 305

AWS Efficiency Azure Cloud 305

Dynatrace

APRIL 5, 2021

AWS Lambda is a serverless compute service that can run code in response to predetermined events or conditions and automatically manage all the computing resources required for those processes. Many events can trigger a lambda function. AWS continues to improve how it handles latency issues. What is AWS Lambda?

Lambda 258

Lambda AWS Serverless Hardware 258

Dynatrace

FEBRUARY 15, 2023

Streamline development and delivery processes Nowadays, digital transformation strategies are executed by almost every organization across all industries. 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

DECEMBER 15, 2022

This includes response time, accuracy, speed, throughput, uptime, CPU utilization, and latency. To ensure resilience, ITOps teams simulate disasters and implement strategies to mitigate downtime and reduce financial loss. This is the number of failures that affect users’ ability to use an application by the total time in service.

Artificial Intelligence 246

Artificial Intelligence DevOps Hardware Virtualization 246

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. Change Data Capture(CDC) source connector reads from studio applications’ database transaction logs and emits the change events.

Big Data 257

Big Data Government Processing Analytics 257

Dynatrace

JANUARY 31, 2024

For production models, this provides observability of service-level agreement (SLA) performance metrics, such as token consumption, latency, availability, response time, and error count. Finding a balance between complexity and impact must be a priority for organizations that adopt AI strategies.

Cache 276

Cache Azure Infrastructure Monitoring 276

Dynatrace

FEBRUARY 24, 2021

The events of 2020 accelerated the trend of organizations shifting to cloud-native technologies in response to the dramatic increase in demand for online services. Reduced latency. If you haven’t implemented either, a best practice to get started is to develop a strategy that incorporates both DevOps and SRE practices.

DevOps 268

DevOps Software Engineering Speed Google 268

Scalegrid

DECEMBER 16, 2019

In this post, we’ll walk you through the best way to host MongoDB on DigitalOcean, including the best instance types to use, disk types, replication strategy, and managed service providers. MongoDB Replication Strategies. DigitalOcean Advantages for MongoDB. DigitalOcean Droplets. MongoDB Sharding.

Azure 187

Azure AWS Database Latency 187

Dynatrace

JANUARY 18, 2023

This methodology aims to improve software system reliability using several key categories such as availability, performance, latency, efficiency, capacity, and incident response. Organizations that are new to both practices will want to adopt a strategy that incorporates both. Site reliability engineers, or SREs, lead these efforts.

DevOps 246

DevOps Best Practices Innovation Strategy 246

Dynatrace

OCTOBER 2, 2024

Grail is built for exabyte scale and leverages massively parallel processing (MPP) as well as advanced automated cold/hot data management to ensure that data remains fully accessible at all times, with zero latency , and full hydration.

Analytics 304

Analytics AWS DevOps Cloud 304

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). connectivity, access, user count, latency) of geographic regions. Tools may be limited.

Best Practices 244

Best Practices Monitoring Wireless Traffic 244

Dynatrace

OCTOBER 1, 2021

Many organizations also adopt an observability solution to help them detect and analyze the significance of events to their operations, software development life cycles, application security, and end-user experiences. Metrics: These are the values represented as counts or measures that are often calculated or aggregated over a period of time.

Metrics 363

Metrics Open Source Monitoring Cloud 363

Dynatrace

NOVEMBER 3, 2021

For example, when monitoring a database, you’ll want to know about any latency when writing data to a disk or average query response time. Log entries describe events, such as starting a process, handling an error, or simply completing some part of a workload. Here’s a closer look at logs, metrics, and distributed traces.

Monitoring 264

Monitoring Metrics DevOps Scalability 264

CSS Wizardry

AUGUST 13, 2019

Although this response has a 0B filesize, we will always take the latency hit on every single page view (and this response is basically 100% latency). com , which introduces yet more latency for the connection setup. not replacement —the current method would remain fully functional and valid) non-blocking loading strategy.

Latency 209

Latency Cache Strategy Media 209

The Netflix TechBlog

DECEMBER 21, 2020

These principles reduce resource usage by being more efficient and effective while lowering the end-to-end latency in data processing. Both automatic (event-driven) as well as manual (ad-hoc) optimization. It decides what to do and when to do in response to an incoming event. Transparency to end-users.

Storage 212

Storage Latency Efficiency Data Engineering 212

CSS Wizardry

OCTOBER 27, 2018

Simply knowing the different forms of performance testing that we have available to us, and where they sit in the product development process, makes it much easier for businesses to adopt a performance strategy and keep on top of things. Unfortunately, most issues do not get captured at this point. Who: Engineers, Product Owners, Marketing.

Performance Testing 211

Performance Testing Testing Performance Strategy 211

Speed Curve

JANUARY 19, 2025

We've gotten to know Annie through frequent discussions, feedback sessions, and hallway talks at various events. So in addition to all the optimization work we did for Google Docs, I got to spend a lot of time and energy working on the measurement problem: how can we get end-to-end latency numbers?

Performance 98

Performance Google Speed Metrics 98

Dynatrace

JANUARY 31, 2024

Data is the foundation upon which strategies are built, directions are chosen, and innovations are pursued. For DevOps teams that inform deployment strategies, optimize processes, and drive continuous improvement, the integrity and timeliness of data are of significant importance.

DevOps 272

DevOps Analytics Airlines Metrics 272

The Netflix TechBlog

DECEMBER 17, 2019

In databases like MySQL and PostgreSQL, transaction logs are the source of CDC events. Some of DBLog’s features are: Processes captured log events in-order. Interleaves log with dump events, by taking dumps in chunks. Hence, downstream consumers have confidence to receive change events as they occur on a source.

Database 221

Database Traffic Transportation Open Source 221

Dynatrace

APRIL 8, 2024

In summary, the Dynatrace platform enables banks to do the following: Capture any data type: logs, metrics, traces, topology, behavior, code, metadata, network, security, web, and real-user monitoring data, and business events. Maximize performance for high-frequency and low-latency trading strategies. Break down data silos.

Analytics 246

Analytics Infrastructure Efficiency Technology 246

The Netflix TechBlog

DECEMBER 17, 2019

In databases like MySQL and PostgreSQL, transaction logs are the source of CDC events. Some of DBLog’s features are: Processes captured log events in-order. Interleaves log with dump events, by taking dumps in chunks. Hence, downstream consumers receive change events as they occur on a source.

Database 206

Database Traffic Transportation Open Source 206

Scalegrid

AUGUST 27, 2024

RabbitMQ excels at managing asynchronous processing and reducing latency while distributing workloads effectively across the system. By prioritizing such messages, RabbitMQ delivers notifications with minimal latency, thus improving the user experience while sustaining the efficacy of communication systems.

Ecommerce 130

Ecommerce IoT Games Scalability 130

The Netflix TechBlog

DECEMBER 2, 2019

The development of an effective data compression strategy enabled us to deploy bootstrapping methods at dramatically greater scale, allowing experimenters to analyze their A/B test results faster and with clearer insights. To understand differences in metrics that occur rarely, we developed a class of methods we call the rare event bootstrap.

Metrics 146

Metrics Strategy Testing Efficiency 146

Highly Scalable

AUGUST 20, 2013

At Grid Dynamics, we recently faced a necessity to build an in-stream data processing system that aimed to crunch about 8 billion events daily providing fault-tolerance and strict transactioanlity i.e. none of these events can be lost or duplicated. Lineage Tracking.

Big Data 154

Big Data Processing Lambda Database 154

The Netflix TechBlog

DECEMBER 2, 2019

The development of an effective data compression strategy enabled us to deploy bootstrapping methods at dramatically greater scale, allowing experimenters to analyze their A/B test results faster and with clearer insights. To understand differences in metrics that occur rarely, we developed a class of methods we call the rare event bootstrap.

Metrics 143

Metrics Strategy Testing Efficiency 143