Dynatrace

JANUARY 31, 2024

For example, a Stanford University and UC Berkeley team noted in a research study that ChatGPT behavior deteriorates over time. Using the example of a chatbot, once the user submits a natural language prompt, RAG summarizes that prompt using semantic data. Consequently, AI model drift and hallucinations emerge as primary concerns.

Cache 209

Cache Azure Infrastructure Monitoring 209

Dynatrace

JUNE 7, 2023

A typical design pattern is the use of a semantic search over a domain-specific knowledge base, like internal documentation, to provide the required context in the prompt. Our example dashboard below visualizes OpenAI token consumption. This includes OpenAI as well as Azure OpenAI services, such as GPT-3, Codex, DALL-E, or ChatGPT.

Monitoring 168

Monitoring Latency Metrics Azure 168

The Netflix TechBlog

MARCH 4, 2024

We have deployed Auto Remediation in production for handling memory configuration errors and unclassified errors of Spark jobs and observed its efficiency and effectiveness (e.g., For efficient error handling, Netflix developed an error classification service, called Pensive, which leverages a rule-based classifier for error classification.

Tuning 210

Tuning Efficiency Big Data Engineering 210

The Netflix TechBlog

SEPTEMBER 24, 2021

As an example, cloud-based post-production editing and collaboration pipelines demand a complex set of functionalities, including the generation and hosting of high quality proxy content. The following table gives us an example of file sizes for 4K ProRes 422 HQ proxies.

Cloud 237

Cloud Media Storage Cache 237

The Netflix TechBlog

NOVEMBER 20, 2023

We will show how we are building a clean and efficient incremental processing solution (IPS) by using Netflix Maestro and Apache Iceberg. As our business scales globally, the demand for data is growing and the needs for scalable low latency incremental processing begin to emerge. past 3 hours or 10 days).

Processing 210

Processing Big Data Efficiency Engineering 210

The Netflix TechBlog

MARCH 7, 2024

Since its inception , Metaflow has been designed to provide a human-friendly API for building data and ML (and today AI) applications and deploying them in our production infrastructure frictionlessly. Example use case: Building model explainers Here’s a fascinating example of the usefulness of portable execution environments.

Systems 226

Systems Media Cache Open Source 226

Dynatrace

JULY 24, 2023

In the world of DevOps and SRE, DevOps automation answers the undeniable need for efficiency and scalability. This evolution in automation, referred to as answer-driven automation, empowers teams to address complex issues in real time, optimize workflows, and enhance overall operational efficiency.

DevOps 225

DevOps Traffic Efficiency Servers 225

Scalegrid

FEBRUARY 8, 2024

Their design emphasizes increasing availability by spreading out files among different nodes or servers — this approach significantly reduces risks associated with losing or corrupting data due to node failure. Variations within these storage systems are called distributed file systems.

Storage 130

Storage Systems Big Data Azure 130

The Netflix TechBlog

OCTOBER 27, 2020

For example, in order to enhance our user experience, one online application fetches subscribers’ preferences data to recommend movies and TV shows. The data warehouse is not designed to serve point requests from microservices with low latency. Let’s look at an example of a Bulldozer YAML configuration (Figure 3).

Latency 243

Latency Storage Big Data Tuning 243

Scalegrid

JANUARY 12, 2024

This article analyzes cloud workloads, delving into their forms, functions, and how they influence the cost and efficiency of your cloud infrastructure. Examples include associations with Google Docs, Facebook chat group interactions, streaming live forex market feeds, and managing trading notices.

Cloud 130

Cloud Virtualization Storage Efficiency 130

The Netflix TechBlog

MARCH 1, 2021

It supports both high throughput services that consume hundreds of thousands of CPUs at a time, and latency-sensitive workloads where humans are waiting for the results of a computation. For example, a video encoding service is built of components that are scale-agnostic: API, workflow, and functions.

Serverless 228

Serverless Media Latency Social Media 228

The Netflix TechBlog

DECEMBER 21, 2020

We built AutoOptimize to efficiently and transparently optimize the data and metadata storage layout while maximizing their cost and performance benefits. 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.

Storage 203

Storage Latency Efficiency Data Engineering 203

The Netflix TechBlog

APRIL 26, 2022

We will share how its design has evolved over the years and the lessons learned while building it. To understand Axion’s design, we need to know the various components that interact with it. An example of data about members is the video they had watched or added to their My List.

Storage 187

Storage Design Scalability Latency 187

Percona

APRIL 17, 2023

The CFQ works well for many general use cases but lacks latency guarantees. The deadline excels at latency-sensitive use cases ( like databases ), and noop is closer to no schedule at all. For example, on a 128GB memory host, this can allow up to 38.4GB of dirty pages. Two other schedulers are deadline and noop.

Best Practices 52

Best Practices Design Tuning Database 52

The Netflix TechBlog

OCTOBER 26, 2021

Continuing on an example from Part 3 , a false negative corresponds to labeling the photo of the cat as a “not cat.” False negatives are closely related to the statistical concept of power , which gives the probability of a true positive given the experimental design and a true effect of a specific size.

Testing 202

Testing Latency Metrics Innovation 202

The Netflix TechBlog

NOVEMBER 3, 2023

An example of a Data Mesh pipeline which moves and transforms data using Union, GraphQL Enrichment, and Column Rename Processor before writing to an Iceberg table. However, this design decision led to a different set of challenges. For example, filtering and projection can be expressed in SQL through SELECT and WHERE clauses.

Processing 265

Processing Engineering Infrastructure Latency 265

Dynatrace

JANUARY 13, 2022

For example, data collected on load actions can include navigation start, request start, and speed index metrics. For example, one user may fill in several fields, click multiple buttons, and upload a file, while another may click several other buttons and fail to upload the file. Examples of real user monitoring.

Monitoring 184

Monitoring Latency Mobile Best Practices 184

Dynatrace

APRIL 5, 2021

The 2014 launch of AWS Lambda marked a milestone in how organizations use cloud services to deliver their applications more efficiently, by running functions at the edge of the cloud without the cost and operational overhead of on-premises servers. Some common examples include: A request through API Gateway or Amplify. Dynatrace news.

Lambda 184

Lambda AWS Serverless Hardware 184

The Netflix TechBlog

SEPTEMBER 8, 2020

As an example, to render the screen shown here, the app sends a query that looks like this: paths: ["videos", 80154610, "detail"] A path starts from a root object , and is followed by a sequence of keys that we want to retrieve the data for.

Latency 233

Latency Cache Java Traffic 233

The Netflix TechBlog

NOVEMBER 2, 2021

For example, when we design a new version of VMAF, we need to effectively roll it out throughout the entire Netflix catalog of movies and TV shows. This article explains how we designed microservices and workflows on top of the Cosmos platform to bolster such video quality innovations. The workflow is initiated.

Media 171

Media Innovation Metrics Latency 171

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. One can perform this comparison live on the request path or offline based on the latency requirements of the particular use case.

Traffic 279

Traffic Metrics Systems Strategy 279

IO River

NOVEMBER 2, 2023

A content delivery network (CDN) is a distributed network of servers strategically located across multiple geographical locations to deliver web content to end users more efficiently. The Four Pillars of CDN Design‍CDN architecture can be broken down into several building blocks, known as the Four Pillars of CDN Design.

Architecture 52

Architecture Cache Performance Latency 52

Percona

MARCH 29, 2023

As the amount of data grows, the need for efficient data compression becomes increasingly important to save storage space, reduce I/O overhead, and improve query performance. Snappy compression is designed to be fast and efficient regarding memory usage, making it a good fit for MongoDB workloads. Values can range from 1 to 22.

Storage 105

Storage Network Open Source Latency 105

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. As an illustrative example, let’s consider a toy instance of 16 hyperthreads.

Cache 251

Cache Latency Airlines Logistics 251

Dynatrace

FEBRUARY 2, 2022

For example, the IT team of a bank wants to ensure that for a trailing 30-day period there is 99.9% service availability with <50ms latency for an application with no revenue impact. To avoid this, start the SLO discussion early in the design process. Let’s take service availability for example.

DevOps 202

DevOps Metrics Best Practices Latency 202

Percona

DECEMBER 11, 2023

A Dedicated Log Volume (DLV) is a specialized storage volume designed to house database transaction logs separately from the volume containing the database tables. This separation aims to streamline transaction write logging, improving efficiency and consistency.

AWS 94

AWS Benchmarking Performance Traffic 94

The Morning Paper

NOVEMBER 10, 2019

It’s been clear for a while that software designed explicitly for the data center environment will increasingly want/need to make different design trade-offs to e.g. general-purpose systems software that you might install on your own machines. The desire for CPU efficiency and lower latencies is easy to understand.

Network 92

Network Transportation Latency Entertainment 92

Dynatrace

APRIL 26, 2022

Digital experience monitoring enables companies to respond to issues more efficiently in real time, and, through enrichment with the right business data, understand how end-user experience of their digital products significantly affects business key performance indicators (KPIs).

Monitoring 209

Monitoring Social Media IoT Metrics 209

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. DevOps is a tactical approach to creating and delivering software designed to close the gap between development and IT operations. What is DevOps?

DevOps 203

DevOps Best Practices Innovation Strategy 203

The Morning Paper

JANUARY 30, 2020

Edge servers are the middle ground – more compute power than a mobile device, but with latency of just a few ms. The kind of edge server envisaged here might, for example, be integrated with your WiFi access point. One example from the paper is an application using the ammo.js Why would we want to live migrate web workers?

Mobile 104

Mobile Cloud Latency Games 104

The Morning Paper

NOVEMBER 15, 2020

Improving the efficiency with which we can coordinate work across a collection of units (see the Universal Scalability Law ). With more nodes and more coordination comes more complexity, both in design and operation. Today’s paper choice is a wonderful example of pushing the state of the art on a single server.

Servers 128

Servers Hardware Latency Design 128

Smashing Magazine

NOVEMBER 8, 2021

As developers, we rightfully obsess about the customer experience, relentlessly working to squeeze every millisecond out of the critical rendering path, optimize input latency, and eliminate jank. Continue reading below ↓ Meet Smart Interface Design Patterns , with Vitaly Friedman. Ilya Grigorik. 2021-11-08T14:30:00+00:00.

Cache 136

Cache Best Practices Strategy Servers 136

The Morning Paper

OCTOBER 26, 2020

On the surface this is a paper about fast data ingestion from high-volume streams, with indexing to support efficient querying. It’s limited by the laws of physics in terms of end-to-end latency. Industrial IoT use cases are an example here. Helios: hyperscale indexing for the cloud & edge , Potharaju et al.,

Cloud 104

Cloud Big Data Latency Architecture 104

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 Now let’s look at how we designed the tracing infrastructure that powers Edgar. which is difficult when troubleshooting distributed systems. Storage: don’t break the bank!

Infrastructure 233

Infrastructure Transportation Storage Open Source 233

IO River

NOVEMBER 2, 2023

They need to deliver impeccable performance without breaking the bank.According to recent industry statistics, global streaming has seen an uptick of 30% in the past year, underscoring the importance of efficient CDN architecture strategies. This is where a well-architected Content Delivery Network (CDN) shines.

Architecture 52

Architecture Performance Internet Internet 52

IO River

NOVEMBER 2, 2023

They need to deliver impeccable performance without breaking the bank.According to recent industry statistics, global streaming has seen an uptick of 30% in the past year, underscoring the importance of efficient CDN architecture strategies. This is where a well-architected Content Delivery Network (CDN) shines.

Architecture 52

Architecture Performance Internet Internet 52

The Morning Paper

JANUARY 28, 2020

Shredder is " a low-latency multi-tenant cloud store that allows small units of computation to be performed directly within storage nodes. " From an operator perspective it makes it harder to follow the classic cloud-native design in which a global storage layer is separate to compute. Shredder in action.

Serverless 99

Serverless Storage Latency Cloud 99