The Netflix TechBlog

MARCH 7, 2024

These integrations are implemented through Metaflow’s extension mechanism which is publicly available but subject to change, and hence not a part of Metaflow’s stable API yet. 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

KeyCDN

JUNE 6, 2019

We’re happy to announce that WebP Caching has landed! The new feature integrates into the existing CDN and is available to all customers. How Does WebP Caching Work? jpg in the example above) will not change. Below is an example for Nginx that manages the delivery of WebP assets on your origin server.

Cache 81

Cache Servers Website Traffic 81

The Netflix TechBlog

NOVEMBER 9, 2022

At Netflix, we periodically reevaluate our workloads to optimize utilization of available capacity. We also see much higher L1 cache activity combined with 4x higher count of MACHINE_CLEARS. a usage pattern occurring when 2 cores reading from / writing to unrelated variables that happen to share the same L1 cache line.

Hardware 363

Hardware Cache Performance Latency 363

Dynatrace

DECEMBER 21, 2023

And while these examples were resolved by just asking a few questions, in many cases, the answers are more elusive, requiring real-time and historical drill-downs into the processes and dependencies specific to each host. A few examples: Reduce roundtrips between services (for example, the N+1 query pattern). Want to learn more?

Cloud 214

Cloud Energy Best Practices Cache 214

ScaleOut Software

APRIL 22, 2020

The Solution: Distributed Caching. A widely used technology called distributed caching meets this need by storing frequently accessed data in memory on a server farm instead of within a database. It’s not enough simply to lash together a set of servers hosting a collection of in-memory caches.

Cache 52

Cache Storage Servers Database 52

ScaleOut Software

APRIL 22, 2020

The Solution: Distributed Caching. A widely used technology called distributed caching meets this need by storing frequently accessed data in memory on a server farm instead of within a database. It’s not enough simply to lash together a set of servers hosting a collection of in-memory caches.

Cache 52

Cache Storage Servers Database 52

Testsigma

JUNE 3, 2021

Example: An e-commerce website is unable to process the payment part. On-screen information for users: The information which is required by the user should be available on the application screen itself. Example: divide by zero, multiplication of 2 large numbers, etc. The UI is meant to be intuitive and easy for the user.

Software 82

Software Software Testing Hardware 82

Scalegrid

JANUARY 25, 2024

Effective management of memory stores with policies like LRU/LFU proactive monitoring of the replication process and advanced metrics such as cache hit ratio and persistence indicators are crucial for ensuring data integrity and optimizing Redis’s performance. Cache Hit Ratio The cache hit ratio represents the efficiency of cache usage.

Metrics 130

Metrics Monitoring Latency Cache 130

The Netflix TechBlog

APRIL 27, 2023

Moreover, common database optimizations like caching recently queried data don’t really work for alerting queries because, generally speaking, the last received datapoint is required for correctness. For the example query listed above, the data expressions are name,errors,:eq,:sum and name,rps,:eq,:sum.

Storage 288

Storage Cache Metrics Database 288

The Netflix TechBlog

JUNE 14, 2023

The GraphQL shim enabled client engineers to move quickly onto GraphQL, figure out client-side concerns like cache normalization, experiment with different GraphQL clients, and investigate client performance without being blocked by server-side migrations. For example, is it more correct for an array to be empty or null, or is it just noise?

Traffic 353

Traffic Latency Cache Metrics 353

Dynatrace

SEPTEMBER 13, 2023

For example, optimizing resource utilization for greater scale and lower cost and driving insights to increase adoption of cloud-native serverless services. Storing frequently accessed data in faster storage, usually in-memory caching, improves data retrieval speed and overall system performance. Beyond

AWS 252

AWS Efficiency Azure Cloud 252

Dean Hume

MAY 16, 2018

Have you ever been on a website and noticed a popup notification that suggests that there is a new version of the site available? This is where a pop up notification like Google’s Inbox provides the user with a means of always having the latest version of cached resources. then(cache => cache.addAll([ './dog.jpg'

Availability 100

Availability Cache Code Google 100

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 251

Cache Latency Airlines Logistics 251

Speed Curve

FEBRUARY 5, 2024

Caching the base page/HTML is common, and it should have a positive impact on backend times. Key things to understand from your CDN Cache Hit/Cache Miss – Was the resource served from the edge, or did the request have to go to origin? In the case of a cache miss, this should be zero.)

Servers 57

Servers Cache Retail Benchmarking 57

Dynatrace

MAY 17, 2023

But its underlying goal is quite humble and straightforward: it wants to enable you to observe an IT system (for example, a web application, infrastructure, or services) and gain insight to its behavior, such as performance, error rates, hot spots of executed instructions in code, and more. Those are prime candidates for their own spans.

Metrics 185

Metrics Open Source Traffic Cache 185

High Scalability

FEBRUARY 17, 2021

An application example is a session store recording recent actions. Application example: photo tagging; add a tag is an update, but most operations are to read tags. Application example: user profile cache, where profiles are constructed elsewhere (e.g., Run phase is where each db is tested for different test conditions.

Benchmarking 308

Benchmarking Latency C++ Database 308

Dynatrace

MAY 13, 2022

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. You can also analyze table metrics, such as cache hits and misses. Apache Cassandra is an open-source, distributed, NoSQL database.

Azure 239

Azure Latency Metrics Infrastructure 239

The Netflix TechBlog

JULY 21, 2022

More importantly, the low resource availability or “out of memory” scenario is one of the common reasons for crashes/kills. Some features (as an example) include Device Type ID, SDK Version, Buffer Sizes, Cache Capacities, UI resolution, Chipset Manufacturer and Brand. Labeling the data?—?Ground

Big Data 179

Big Data Cache Engineering Data Engineering 179

Brendan Gregg

MARCH 16, 2024

To explain this example in more detail: The profiler periodically interrupts software execution, and for those disconnected stacks it happens to be the execution of the kernel software ("vfs*", "ext*", etc.). This technique saves two instructions in the prologue and epilogue and makes one additional general-purpose register (%rbp) available."

Java 145

Java Cache Google Hardware 145

Scalegrid

DECEMBER 21, 2023

To achieve optimal tracking results it is important to choose wisely among available tools like Prometheus or Grafana, which offer deeper insights into understanding your Redis® instances for better performance optimization. Examples include slow command execution time which leads to poor latency and increased memory usage.

Strategy 130

Strategy Monitoring Latency DevOps 130

The Netflix TechBlog

OCTOBER 29, 2020

You only need to write platform-specific code where it’s necessary, for example, to implement a native UI or when working with platform-specific APIs. This translates to a large number of app configurations to toggle feature availability and optimize the in-app experience for each production.

Mobile 279

Mobile Cache Network Architecture 279

The Netflix TechBlog

JULY 12, 2019

The Tech Hollow , an OSS technology we released a few years ago, has been best described as a total high-density near cache : Total : The entire dataset is cached on each node?—?there there is no eviction policy, and there are no cache misses. Near : the cache exists in RAM on any instance which requires access to the dataset.

Cache 183

Cache Architecture Latency Engineering 183

Percona

APRIL 7, 2023

MySQL comes pre-configured to be conservative instead of making the most of the resources available in the server. But since retrieving data from disk is slow, databases tend to work with a caching mechanism to keep as much hot data, the bits and pieces that are most often accessed, in memory. Why is that?

Tuning 133

Tuning Cache Servers Benchmarking 133

CSS Wizardry

MAY 31, 2019

A classic example is jQuery, that we might link to like so: There are a number of perceived benefits to doing this, but my aim later in this article is to either debunk these claims, or show how other costs vastly outweigh them. Users might already have the file cached. Penalty: Caching. Myth: Cross-Domain Caching.

Cache 274

Cache Latency Infrastructure Website 274

Percona

MARCH 27, 2023

A lot of useful information can be retrieved from this schema, for example, table metadata and foreign key relations, but trying to query I_S can induce performance degradation if your server is under heavy load, as shown in the following example test. You can read some optimization examples in the official doc: [link].

Cache 98

Cache Hardware Servers Benchmarking 98

All Things Distributed

SEPTEMBER 3, 2013

Choosing your database architecture may be the most critical decision you’ll make and has a disproportionate impact on the performance, scalability, and availability of your app. Get it right and your application will seamlessly scale from hundreds to tens of millions of users without difficulty, while remaining performant and available.

Cache 131

Cache Cloud Performance Retail 131

Percona

JULY 25, 2023

They are then applied (for example, writing old values back again) to the pages again and written to disk. After the “data dictionary” (DD) engine and DD cache are initialized on a server, the Storage Engines can ask for a table definition. Let’s take a look at the example table. CREATE TABLE test.t1(a

Cache 83

Cache Benchmarking Servers Design 83

Speed Curve

MARCH 24, 2024

Tim's approach was to filter out the noise introduced by really fast response times that can be caused by leveraging the browser cache, prerendering, and other performance optimization techniques. For example, full-page navigations have very different characteristics than bfcache navigations.

Performance 70

Performance Cache Metrics Retail 70

The Netflix TechBlog

NOVEMBER 15, 2022

AWS AWS provides a suite of services that a VFX studio, regardless of size, can use to leverage the cloud, including AWS Thinkbox Deadline , Amazon File Cache , and Render Farm Deployment Kit on AWS (RFDK). via direct plug-ins, and is available on multi-cloud platform services. including AWS Thinkbox Deadline and Pixar’s Tractor.

Cloud 282

Cloud Entertainment AWS Infrastructure 282

Percona

APRIL 24, 2023

For example, let’s assume that there are five indexes on a table; every INSERT into the table will result in an INSERT of the index record on those five indexes. Effectively, the memory available for pages of the table gets less. The more indexes, the more the requirement of memory for effective caching.

Tuning 123

Tuning Cache Storage Database 123

ScaleOut Software

MAY 15, 2014

For example, the IMDG must be able to efficiently create millions of objects in each server to make use of its huge storage capacity. Given all this, we thought it would be a good opportunity to see how we are doing relative to the competition, and in particular, relative to Microsoft’s AppFabric caching for Windows on-premise servers.

Cache 40

Cache Servers Network Design 40

Scalegrid

FEBRUARY 8, 2024

Key Takeaways Distributed storage systems benefit organizations by enhancing data availability, fault tolerance, and system scalability, leading to cost savings from reduced hardware needs, energy consumption, and personnel. Variations within these storage systems are called distributed file systems.

Storage 130

Storage Systems Big Data Azure 130

Percona

FEBRUARY 15, 2023

This post will illustrate through a simple example how bloom filters work in MyRocks. In the above example, if you add all the first names of the people at Percona you’ll end up with only “1” That would be obviously useless. Bloom filters are an essential component of an LSM-based database engine like MyRocks.

Storage 125

Storage Tuning Cache Engineering 125

Dynatrace

JULY 16, 2020

I wanted to leverage Dynatrace’s Environment APIs, for example to export timeseries data, get problem stats, or change configuration settings, like enforcing a certain data privacy setting. TenantCache: a cache to store tenant information and API token information and semi-permanent data to avoid unnecessary roundtrips. ?

Cache 235

Cache Serverless Efficiency Tuning 235

Dynatrace

NOVEMBER 3, 2021

For example, we can actively watch a single metric for changes that indicate a problem — this is monitoring. 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.

Monitoring 226

Monitoring Metrics DevOps Scalability 226

Percona

SEPTEMBER 1, 2023

For example, if an UPDATE statement modifies 100 rows, a statement-level trigger related to that statement will execute only once for the entire statement. Here are a few examples: Audit Logging : In compliance-driven industries like finance or healthcare, it’s crucial to maintain an audit trail of database changes.

Cache 59

Cache Database Games Healthcare 59

IO River

NOVEMBER 2, 2023

CDNs cache content on edge servers distributed globally, reducing the distance between users and the content they want.‍CDNs use load-balancing techniques to distribute incoming traffic across multiple servers called Points of Presence (PoPs) which distribute content closer to end-users and improve overall performance.

Architecture 52

Architecture Cache Performance Latency 52