Dynatrace

MAY 19, 2022

Example 1: Architecture boundaries. First, they took a big step back and looked at their end-to-end architecture (Figure 2). SLO dashboard defined by architectural boundary. In their new dashboard, they added dimensions for load, latency, and open problems for each component. Not all attempts succeed on the first try.

Automotive 290

Automotive Latency Architecture Azure 290

Scalegrid

OCTOBER 17, 2019

In that environment, the first PostgreSQL developers decided forking a process for each connection to the database is the safest choice. It would be a shame if your database crashed, after all. Moving to a multithreaded architecture will require extensive rewrites. The PostgreSQL Architecture | Source.

Architecture 200

Architecture Database Latency Servers 200

Dynatrace

MAY 13, 2022

Apache Cassandra is an open-source, distributed, NoSQL database. Because of its scalability and distributed architecture, thousands of companies trust it to run their cloud and hybrid-based workloads at high availability without compromising performance. Microsoft Azure offers multiple ways to manage Apache Cassandra databases.

Azure 246

Azure Latency Metrics Infrastructure 246

High Scalability

JANUARY 11, 2022

Architecture. We will use a graph database such as Neo4j to store the information. Additionally, we can use columnar databases like Cassandra to store information like user feeds, activities, and counters. Sample Queries supported by Graph Database. Sending and receiving messages from other users. High Level Design.

Design 334

Design Media Storage Logistics 334

The Netflix TechBlog

MARCH 7, 2023

There are many naive solutions possible for this problem for example: Write different runs in different databases. But we cannot search or present low latency retrievals from files Etc. Instead our challenge was to implement this feature on top of Cassandra and ElasticSearch databases because that’s what Marken uses.

Media 272

Media Latency Architecture Database 272

Dynatrace

JANUARY 14, 2022

The following figure shows the high-level architecture where any load testing solution (e.g. The optimization goal was to improve the application efficiency, that is to improve the ratio between service throughput and cloud costs while not increasing the application latency (e.g. below 500ms) and error rates (e.g. lower than 2%.).

Latency 246

Latency Tuning Efficiency AWS 246

The Netflix TechBlog

APRIL 27, 2023

Ruchir Jha , Brian Harrington , Yingwu Zhao TL;DR Streaming alert evaluation scales much better than the traditional approach of polling time-series databases. It allows us to overcome high dimensionality/cardinality limitations of the time-series database. It opens doors to support more exciting use-cases. OK, Results?

Storage 297

Storage Cache Metrics Database 297

Dynatrace

JANUARY 31, 2024

Retrieval-augmented generation emerges as the standard architecture for LLM-based applications Given that LLMs can generate factually incorrect or nonsensical responses, retrieval-augmented generation (RAG) has emerged as an industry standard for building GenAI applications.

Cache 276

Cache Azure Infrastructure Monitoring 276

Dynatrace

JANUARY 26, 2021

Within this paradigm, it is possible to run entire architectures without touching a traditional virtual server, either locally or in the cloud. REST APIs, authentication, databases, email, and video processing all have a home on serverless platforms. When an application is triggered, it can cause latency as the application starts.

Serverless 246

Serverless Efficiency Lambda AWS 246

All Things Distributed

JULY 14, 2015

I am excited to share with you that today we are expanding DynamoDB with streams, cross-region replication, and database triggers. In traditional database architectures, database engines often run a small search engine or data warehouse engines on the same hardware as the database. DynamoDB Triggers.

Database 156

Database Lambda AWS IoT 156

The Netflix TechBlog

FEBRUARY 18, 2022

Motivation With the rapid growth in Netflix member base and the increasing complexity of our systems, our architecture has evolved into an asynchronous one that enables both online and offline computation. Architecture As shown in the diagram above, the RENO service can be broken down into the following components.

Systems 334

Systems Traffic Architecture Mobile 334

Dynatrace

APRIL 5, 2021

These include website hosting, database management, backup and restore, IoT capabilities, e-commerce solutions, app development tools and more, with new services released regularly. A new record entering a database table. Tasks like API requests, database calls, and file system management are perfect candidates for this service.

Lambda 258

Lambda AWS Serverless Hardware 258

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

NOVEMBER 3, 2021

Organizations are depending more and more on distributed architectures to provide application services. 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. Dynatrace news.

Monitoring 264

Monitoring Metrics DevOps Scalability 264

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

Dynatrace

DECEMBER 22, 2021

Metrics are measures of critical system values, such as CPU utilization or average write latency to persistent storage. They are particularly important in distributed systems, such as microservices architectures. Observability platforms are becoming essential as the complexity of cloud-native architectures increases.

Artificial Intelligence 245

Artificial Intelligence Metrics Architecture DevOps 245

Dynatrace

JULY 6, 2020

In addition to providing visibility for core Azure services like virtual machines, load balancers, databases, and application services, we’re happy to announce support for the following 10 new Azure services, with many more to come soon: Virtual Machines (classic ones). Effortlessly optimize Azure database performance.

Azure 227

Azure Cloud Big Data Virtualization 227

Percona

NOVEMBER 3, 2023

Rather than listing the concepts, function calls, etc, available in Citus, which frankly is a bit boring, I’m going to explore scaling out a database system starting with a single host. I won’t cover all the features but show just enough that you’ll want to see more of what you can learn to accomplish for yourself.

Database 114

Database Benchmarking Latency C++ 114

InfoQ

DECEMBER 4, 2023

LinkedIn was able to dramatically improve the scalability and performance of its Espresso database by migrating it from HTTP1.1 to HTTP2, resulting in a reduction in the number of connections, latency, and garbage collection times. By Rafal Gancarz

Latency 102

Latency Scalability Database Performance 102

All Things Distributed

AUGUST 20, 2015

It opens up the possibility to enjoy the value that graph databases bring to relationship-centric use cases, without worrying about managing the underlying storage. Traditionally, these connections have been stored in relational databases, with each object type requiring its own table. Enter graph databases.

Database 119

Database Logistics Availability Social Media 119

Dynatrace

OCTOBER 2, 2024

This architecture also means you are not required to determine your log data use cases beforehand or while analyzing logs within the new logs app. For example, deleting the database is not an expected outcome when the function provided is to update a user profile.

Analytics 304

Analytics AWS DevOps Cloud 304

The Netflix TechBlog

JULY 26, 2021

Netflix is known for its loosely coupled microservice architecture and with a global studio footprint, surfacing and connecting the data from microservices into a studio data catalog in real time has become more important than ever. In the initial stage, data consumers set up ETL pipelines directly pulling data from databases.

Big Data 257

Big Data Government Processing Analytics 257

The Netflix TechBlog

OCTOBER 27, 2020

At Netflix, we also heavily embrace a microservice architecture that emphasizes separation of concerns. The data warehouse is not designed to serve point requests from microservices with low latency. Therefore, we must efficiently move data from the data warehouse to a global, low-latency and highly-reliable key-value store.

Latency 252

Latency Storage Big Data Tuning 252

High Scalability

SEPTEMBER 8, 2018

New databases used to be announced seemingly every week. While database neogenesis has slowed down considerably, it has not gone necrotic. To meet user-defined goals for performance (request latency) and cost, the monitoring service tracks and adjusts resources to workload changes.

Storage 199

Storage Performance AWS Cloud 199

DZone

MAY 1, 2023

It is a transversal component that applies to all the tech areas and architecture layers such as operating systems, data platforms, backend, frontend, and other components. Caches are very useful software components that all engineers must know.

Cache 147

Cache Strategy Latency Operating System 147

The Netflix TechBlog

DECEMBER 17, 2019

Andreas Andreakis , Ioannis Papapanagiotou Overview Change-Data-Capture (CDC) allows capturing committed changes from a database in real-time and propagating those changes to downstream consumers [1][2]. In databases like MySQL and PostgreSQL, transaction logs are the source of CDC events. Designed with High Availability in mind.

Database 221

Database Traffic Transportation Open Source 221

The Netflix TechBlog

DECEMBER 17, 2019

Andreas Andreakis , Ioannis Papapanagiotou Overview Change-Data-Capture (CDC) allows capturing committed changes from a database in real-time and propagating those changes to downstream consumers [1][2]. In databases like MySQL and PostgreSQL, transaction logs are the source of CDC events. Designed with High Availability in mind.

Database 206

Database Traffic Transportation Open Source 206

The Netflix TechBlog

AUGUST 30, 2021

System Setup Architecture The following diagram summarizes the architecture description: Figure 1: Event-sourcing architecture of the Device Management Platform. By the following morning, alerts were received regarding high memory consumption and GC latencies, to the point where the service was unresponsive to HTTP requests.

Latency 222

Latency Traffic Transportation Cloud 222

Dynatrace

SEPTEMBER 30, 2021

This can dramatically decrease network latency and its effect on the end-user experience. Because cloud architectures are more distributed and dynamic resources come and go as needed, performance can be varied. Migrate databases intelligently. As a result, organizations are seeing improved availability and performance.

Cloud 241

Cloud Traffic Best Practices Strategy 241

Scalegrid

JANUARY 21, 2025

With its widespread use in modern application architectures, understanding the ins and outs of Redis monitoring is essential for any tech professional. Identifying key Redis metrics such as latency, CPU usage, and memory metrics is crucial for effective Redis monitoring. Redis, a powerful in-memory data store, is no exception.

Strategy 130

Strategy Monitoring Latency DevOps 130

The Netflix TechBlog

JUNE 13, 2023

By collecting and analyzing key performance metrics of the service over time, we can assess the impact of the new changes and determine if they meet the availability, latency, and performance requirements. A/B testing is also a key technique in migrations where the updates to the architecture involve changing device contracts as well.

Traffic 285

Traffic Metrics Systems Strategy 285

The Netflix TechBlog

MAY 14, 2021

Managing and operating asynchronous workflows can be difficult without the proper tools and architecture that puts observability, debugging, and tracing at the forefront. Once you finally find useful identifiers, you may begin writing SQL queries against your production database to find out what went wrong.

Traffic 166

Traffic Java Latency Google 166

The Netflix TechBlog

NOVEMBER 2, 2021

The Reloaded system is a well-matured and scalable system, but its monolithic architecture can slow down rapid innovation. 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., via bug fixes).

Media 178

Media Innovation Metrics Latency 178

Dynatrace

JUNE 25, 2021

Distributed tracing describes the act of following a transaction through all participating applications (tiers) and sub-systems, such as databases. Distributed computing didn’t start with the rise of microservices. In the mid 2000s, Google published their Dapper paper which describes techniques for distributed tracing at Google.

Open Source 279

Open Source Monitoring Google Systems 279

All Things Distributed

NOVEMBER 15, 2010

Building general purpose architectures has always been hard; there are often so many conflicting requirements that you cannot derive an architecture that will serve all, so we have often ended up focusing on one side of the requirements that allow you to serve that area really well.

AWS 125

AWS Programming Latency Architecture 125

The Netflix TechBlog

DECEMBER 21, 2020

This article will list some of the use cases of AutoOptimize, discuss the design principles that help enhance efficiency, and present the high-level architecture. These principles reduce resource usage by being more efficient and effective while lowering the end-to-end latency in data processing. Transparency to end-users.

Storage 212

Storage Latency Efficiency Data Engineering 212

O'Reilly Software

JUNE 12, 2018

In fact, before we even had the word microservices in our lexicon, back when it was just good old-fashioned service-oriented architecture, we were talking about data: how to access it, where it lives, who “owns” it. Back then, the most common pattern I saw for service-based systems was sharing a database among multiple services.

Database 72

Database Cache Architecture Latency 72