The Netflix TechBlog

OCTOBER 8, 2024

Building on these foundational abstractions, we developed the TimeSeries Abstraction  — a versatile and scalable solution designed to efficiently store and query large volumes of temporal event data with low millisecond latencies, all in a cost-effective manner across various use cases. For example: {“device_type”: “ios”}.

Latency 239

Latency Storage Traffic Tuning 239

Scalegrid

MAY 11, 2024

MongoDB offers several storage engines that cater to various use cases. The default storage engine in earlier versions was MMAPv1, which utilized memory-mapped files and document-level locking. The newer, pluggable storage engine, WiredTiger, addresses this by using prefix compression, collection-level locking, and row-based storage.

Storage 130

Storage Engineering Cache Database 130

Dynatrace

JANUARY 16, 2023

Of the organizations in the Kubernetes survey, 71% run databases and caches in Kubernetes, representing a +48% year-over-year increase. Together with messaging systems (+36% growth), organizations are increasingly using databases and caches to persist application workload states.

Open Source 358

Open Source Java Operating System Programming 358

Dynatrace

DECEMBER 20, 2021

Think of a session replay like a movie based on real events. These changes are known as “events,” and they occur any time a user interacts with your site or application, such as when they swipe the screen, move the mouse or input text. Streamlined asset caching: Asset caching is critical for creating accurate replays.

Mobile 264

Mobile Website Analytics Cache 264

The Netflix TechBlog

SEPTEMBER 10, 2024

The other main use case was RENO, the Rapid Event Notification System mentioned above. KeyValue is an abstraction over the storage engine itself, which allows us to choose the best storage engine that meets our SLO needs. These events, sent over a Kafka topic, let the service keep track of the device list for a given account.

Latency 234

Latency Cache Tuning Efficiency 234

Dynatrace

SEPTEMBER 13, 2023

Dynatrace AutomationEngine workflows automate release validation using AWS Well-Architected pillars With Dynatrace, you can create workflows that automate various tasks based on events, schedules or Davis problem triggers. Workflows are powered by a core platform technology of Dynatrace called the AutomationEngine.

AWS 305

AWS Efficiency Azure Cloud 305

Percona

APRIL 24, 2023

The more indexes, the more the requirement of memory for effective caching. Indexes need more cache than tables Due to random writes and reads, indexes need more pages to be in the cache. Cache requirements for indexes are generally much higher than associated tables. This helps in crash recovery and replication.

Tuning 139

Tuning Cache Storage Database 139

Dynatrace

OCTOBER 15, 2021

The data is incredibly plentiful and difficult to store over long periods due to capacity limitations — a reason why private and public cloud storage services have been a boon to DevOps teams. Logs are important because you’ll naturally want an event-based record of any notable anomalies across the system.

Open Source 246

Open Source Metrics Cloud Transportation 246

Scalegrid

MARCH 28, 2024

Key Takeaways Redis offers complex data structures and additional features for versatile data handling, while Memcached excels in simplicity with a fast, multi-threaded architecture for basic caching needs. Redis is better suited for complex data models, and Memcached is better suited for high-throughput, string-based caching scenarios.

Cache 130

Cache Storage Scalability Architecture 130

The Netflix TechBlog

MAY 4, 2023

In this approach, we record the requests and responses for the service that needs to be updated or replaced to an offline event stream asynchronously. Given the scale of the data being generated using replay traffic, we record the responses from the two sides to a cost-effective cold storage facility using technology like Apache Iceberg.

Traffic 347

Traffic Latency Tuning Systems 347

O'Reilly Software

JUNE 12, 2018

The benefits of modeling data as events as a mechanism to evolve our software systems. Enter streams of events, specifically the kinds of streams that technology like Kafka makes possible. Continue reading Microservices, events, and upside-down databases. The concepts may well seem odd at first, but stick with them.

Database 72

Database Cache Architecture Latency 72

Smashing Magazine

DECEMBER 23, 2020

The service workers enable the offline usage of the PWA by fetching cached data or informing the user about the absence of an Internet connection. When developing a PWA, you can cache the application shell’s resources and assets in the browser. Cached content with IndexedDB. Cache first, then network. Service Workers.

Cache 136

Cache Internet Internet Google 136

Dynatrace

SEPTEMBER 17, 2019

PostgreSQL & Elastic for data storage. REDIS for caching. In the event that there’s a problem, Dynatrace will automatically highlight the hotspot and root cause in the different Dynatrace views. Their technology stack looks like this: Spring Boot-based Microservices. NGINX as an API Gateway. 3 Log Analytics.

AWS 170

AWS Monitoring Ecommerce Lambda 170

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. The signature is initially initialized by the event ID. Lineage Tracking.

Big Data 154

Big Data Processing Lambda Database 154

VoltDB

MARCH 21, 2024

The most obvious and common way this happens is when companies try to evolve their caches into a data platform that can, for example, be used as highly available enterprise key-value stores for volatile data. Let’s look at a typical scenario involving the javax cache API, also known as JSR107. How hard can it be?

Cache 52

Cache Database Storage Availability 52

Scalegrid

JANUARY 5, 2024

The DBMS is key to maintaining these aspects by offering a storage system that allows users to perform operations such as data insertion, deletion, and selection, thereby promoting enhanced data integration across diverse applications and platforms.

Efficiency 147

Efficiency Storage Database Scalability 147

All Things Distributed

OCTOBER 12, 2016

While caching continues to be a dominant use of ElastiCache for Redis, we see customers increasingly use it as an in-memory NoSQL database. It enables customers to run their Redis nodes at higher memory utilization without risking swap usage during events such as snapshotting and replica synchronization.

Scalability 102

Scalability Cache Analytics AWS 102

Randon ASCII

SEPTEMBER 8, 2019

The first signal is the input events. UIforETW contains an integrated input logger (anonymized enough so that I don’t accidentally steal passwords or personal information) so I could just drill down to the MouseUp events with a Button Type of 2, which represents the right mouse button. That is an average read of 68 bytes each time.

Latency 79

Latency Cache Programming Operating System 79

The Morning Paper

OCTOBER 26, 2020

As a production system within Microsoft capturing around a quadrillion events and indexing 16 trillion search keys per day it would be interesting in its own right, but there’s a lot more to it than that. On the surface this is a paper about fast data ingestion from high-volume streams, with indexing to support efficient querying.

Cloud 104

Cloud Big Data Latency Architecture 104

Percona

DECEMBER 23, 2022

I wrote this post on MyRocks because I believe it is the most interesting new MySQL storage engine to have appeared over the last few years. I decided to use a virtual machine with two CPU cores, four GB of memory, and storage limited to a maximum of 1000 IOPs of 16KB. I emulated these limits using the KVM iotune settings in my lab. <iotune>

Storage 57

Storage Cache C++ Virtualization 57

The Morning Paper

JUNE 23, 2019

Coupled with stateless application servers to execute business logic and a database-like system to provide persistent storage, they form a core component of popular data center service archictectures. Oh, you mean a cache? Yes, a bit like those 2nd-level caches we were talking about earlier, e.g. Ehcache from 2003 onwards.

Cache 79

Cache Latency Google Network 79

All Things Distributed

OCTOBER 2, 2017

percent availability in the event of a server, a rack of servers, or an Availability Zone failure. In addition, DynamoDB Accelerator (DAX) a fully managed, highly available, in-memory cache further speeds up DynamoDB response times from milliseconds to microseconds and can continue to do so at millions of requests per second.

Internet 111

Internet Internet AWS Performance 111

Percona

JUNE 22, 2023

Defining high availability In general terms, high availability refers to the continuous operation of a system with little to no interruption to end users in the event of hardware or software failures, power outages, or other disruptions. Redundancy is also critical for disaster recovery. there cannot be high availability.

Availability 133

Availability Database Open Source Hardware 133

Abhishek Tiwari

DECEMBER 27, 2017

More importantly, UDM utilizes a single storage backend with benefits of multiple storage systems which avoids moving data across systems hence data duplication, and data consistency issues. Delta implements the unified data management layer by extending the Amazon S3 object storage for ACID transactions and automatic data indexing.

Big Data 49

Big Data Artificial Intelligence Storage Hardware 49

Speed Curve

FEBRUARY 25, 2024

Guest profiles also start with empty caches, empty cookie stores, empty browser storage, etc. These may get populated during testing, but we can clear them at any time via Application > Storage > Clear Site Data in DevTools. Even though I only clicked on the page once, multiple event handlers were invoked.

Analytics 94

Analytics Processing Google Mobile 94

Dotcom-Montior

MAY 6, 2020

It assists in identifying where important events happened during the loading process. Waterfall charts within the Dotcom-Monitor platform can help users identify where important events happened during the page load process. Moreover, caching utility may decrease the waiting time. Queued request. What’s the Difference?

Performance 53

Performance Website Cache Speed 53

Smashing Magazine

OCTOBER 8, 2021

We can use 11ty’s new Serverless mode to build them on request using Netlify’s On-Demand Builders to cache each Madlib. For example, an “On-Demand Builder” is a serverless function dedicated to serving a cached file. Netlify then caches that page on its edge CDN for each additional call. Large preview ). More after jump!

Serverless 92

Serverless Cache Open Source Code 92

Dotcom-Montior

MARCH 6, 2022

It assists in identifying where important events happened during the loading process. Waterfall charts within the Dotcom-Monitor platform can help users identify where important events happened during the page load process. Moreover, caching utility may decrease the waiting time. Queued request. What’s the Difference?

Performance 52

Performance Website Cache Speed 52

Smashing Magazine

NOVEMBER 2, 2021

On the contrary, a native application of an e-commerce store can come at 30, 50, or even 100 MB and up, consuming internal device storage. Due to the use of modern frameworks, advanced caching and rendering, and data transmission via API, properly developed PWAs can be a seven-league step up to boost the store’s speed. Large preview ).

Code 90

Code Cache Mobile Retail 90

Alex Russell

APRIL 29, 2021

Chrome has missed several APIs for 3+ years: Storage Access API. Pointer Events. An extension to Service Workers that enables browsers to present users with cached content when offline. A-series chips have run circles around other ARM parts for more than half a decade, largely through gobsmacking amounts of L2/L3 cache per core.

Media 145

Media Games Education Engineering 145

Smashing Magazine

MAY 17, 2021

CLS , or Cumulative Layout Shift, tracks how elements move or shift on the page absent of actions like a keyboard or click event. Lighthouse also caught a cache misconfiguration that prevented some of our static assets from being served from our CDN. A summary of LCP, FID and CLS. The first easy win came from an experimental Next.js

Google 111

Google Analytics Serverless Metrics 111

HammerDB

JUNE 27, 2022

Cached vs Scaled Workloads. A key difference between cached and scaled workloads is the implementation of keying and thinking time to introduce a pause of time between transactions. Note that HammerDB can also implement a scaled workload with a feature called event-driven scaling.

Benchmarking 63

Benchmarking Open Source C++ Cache 63

Percona

JANUARY 4, 2023

It is entirely built upon various sets of instruments (also can be called event names) each serving different purposes. Stage – Instrument starting with ‘stage’ provides the execution stage of any query like reading data, sending data, altering table, checking query cache for queries, etc. For example stage/sql/altering table.

Performance 108

Performance C++ Monitoring Servers 108

SQL Performance

MAY 29, 2019

The Debug channel Extended Event fastloadcontext_enabled can be used to monitor FastLoadContext usage per index partition (rowset). This event does not fire for RowsetBulk loads. GO. -- Clear the plan cache. GO. -- Clear the plan cache. GO. -- Clear the plan cache. Mixed logging. NULL , -- Partition ID. INSERT dbo.

Cache 64

Cache Testing Servers Code 64

SQL Performance

AUGUST 23, 2019

The SQL Server batch mode implementation of a Bloom filter is optimized for modern CPU cache architectures and is known internally as a complex bitmap. The optimization can be monitored with the extended event column_store_expression_filter_bitmap_set. Extended Events and Trace Flags. Bitmap Choice. Final Thoughts.

Servers 75

Servers Engineering Efficiency Retail 75

Percona

MAY 2, 2023

As a MongoDB user, it’s crucial to ensure that your data is safe and secure in the event of a disaster or system failure. The speed of backup also depends on allocated IOPS and type of storage since lots of read/writes would be happening during this process. Why are MongoDB database backups important? mongodump --host=mongodb1.example.net

Best Practices 52

Best Practices Database Storage Servers 52

SQL Server According to Bob

JANUARY 11, 2020

The modifications persist even in the event of a system failure. Stable Media Stable media is often confused with physical storage. SQL Server defines stable media as storage that can survive system restart or common failure. This cache is often supported by a battery-powered backup facility.

Servers 40

Servers Cache Media Hardware 40