The Morning Paper

JANUARY 30, 2020

The current system assumes an application specific regression model is available on the servers which can predict processing time given the current parameters of the job (e.g. These use their regression models to estimate processing time (which will depend on the hardware available, current load, etc.). for the wasm-version.

Mobile 104

Mobile Cloud Latency Games 104

All Things Distributed

AUGUST 16, 2012

An apples to apples comparison of the costs associated with running various usage patterns on-premises and with AWS requires more than a simple comparison of hardware expense versus always-on utility pricing for compute and storage. Massive economies of scale and efficiency improvements allow AWS to continually lower prices.

AWS 114

AWS Hardware Traffic Best Practices 114

The Netflix TechBlog

JUNE 13, 2023

Replay traffic testing gives us the initial foundation of validation, but as our migration process unfolds, we are met with the need for a carefully controlled migration process. A process that doesn’t just minimize risk, but also facilitates a continuous evaluation of the rollout’s impact.

Traffic 281

Traffic Metrics Systems Strategy 281

Scalegrid

JULY 17, 2020

JSONB supports indexing the JSON data, and is very efficient at parsing and querying the JSON data. JSON is faster to ingest vs. JSONB – however, if you do any further processing, JSONB will be faster. JSONB storage has some drawbacks vs. traditional columns: PostreSQL does not store column statistics for JSONB columns.

Storage 321

Storage Database Efficiency Availability 321

Scalegrid

JANUARY 8, 2024

Real-world examples like Spotify’s multi-cloud strategy for cost reduction and performance, and Netflix’s hybrid cloud setup for efficient content streaming and creation, illustrate the practical applications of each model. Thus making it an ideal choice for businesses seeking a successful implementation of their multi-cloud strategy.

Cloud 147

Cloud Strategy Scalability Artificial Intelligence 147

The Netflix TechBlog

SEPTEMBER 24, 2021

By Xiaomei Liu , Rosanna Lee , Cyril Concolato Introduction Behind the scenes of the beloved Netflix streaming service and content, there are many technology innovations in media processing. Packaging has always been an important step in media processing. Uploading and downloading data always come with a penalty, namely latency.

Cloud 239

Cloud Media Storage Cache 239

SQL Performance

APRIL 5, 2019

The more violations, the worse the clustered unique index performs by comparison. For a clustered unique index with IGNORE_DUP_KEY set, duplicates are handled by the storage engine. The query processor removes duplicates from the insert stream, ensuring that no duplicates are seen by the storage engine. The trade-off.

Storage 53

Storage Servers Engineering Testing 53

Percona

SEPTEMBER 1, 2023

Character encoding refers to the method used to represent characters as binary data for storage and transmission. The choice of character set and encoding impacts not only efficiency but also how the data appears to users. This conversion ensures that the data appears correctly to users and can be processed and displayed as intended.

Performance 52

Performance Storage Social Media Database 52

The Netflix TechBlog

FEBRUARY 13, 2023

We have been leveraging machine learning (ML) models to personalize artwork and to help our creatives create promotional content efficiently. We accomplish this by paving the path to: Accessing and processing media data (e.g. Media Feature Storage: Amber Storage Media feature computation tends to be expensive and time-consuming.

Media 292

Media Storage Infrastructure Systems 292

Percona

MARCH 29, 2023

Compression in any database is necessary as it has many advantages, like storage reduction, data transmission time, etc. Storage reduction alone results in significant cost savings, and we can save more data in the same space. By default, MongoDB provides a snappy block compression method for storage and network communication.

Storage 114

Storage Network Open Source Latency 114

Dynatrace

NOVEMBER 4, 2022

Overall, 53% of IT leaders say t he number of tools needed to monitor the end-to-end technology stack makes it difficult to operate efficiently. When issues arise, teams can’t depend on these tools for quick resolutions, because data comparisons are difficult and contribute to delays. A new approach for the digital age .

Government 147

Government Analytics Cloud Storage 147

The Netflix TechBlog

FEBRUARY 13, 2020

By Aditya Mavlankar, Jan De C**k¹, Cyril Concolato, Kyle Swanson, Anush Moorthy and Anne Aaron TL; DR We need an alternative to JPEG that a) is widely supported, b) has better compression efficiency and c) has a wider feature set. High-Efficiency Video Coding ( HEVC ) is the successor of H.264, 264, a.k.a.

Code 215

Code Metrics Efficiency Open Source 215

O'Reilly

SEPTEMBER 19, 2023

It progressed from “raw compute and storage” to “reimplementing key services in push-button fashion” to “becoming the backbone of AI work”—all under the umbrella of “renting time and storage on someone else’s computers.” ” (It will be easier to fit in the overhead storage.)

Hardware 101

Hardware Storage Big Data Blockchain 101

The Netflix TechBlog

NOVEMBER 2, 2021

Perceptual quality measurements are used to drive video encoding optimizations , perform video codec comparisons , carry out A/B testing and optimize streaming QoE decisions to mention a few. This system is responsible for processing incoming media files, such as video, audio and subtitles, and making them playable on the streaming service.

Media 173

Media Innovation Metrics Latency 173

Percona

MARCH 30, 2023

Further, open source databases can be modified in infinite ways, enabling institutions to meet their specific needs for data storage, retrieval, and processing. They’re often preferred for storing and processing business intelligence data by organizations that require fast SQL queries.

Open Source 80

Open Source Database Storage Scalability 80

The Morning Paper

APRIL 16, 2019

Teaching rigorous distributed systems with efficient model checking Michael et al., During the ten week course, students implement four different assignments: an exactly-once RPC protocol; a primary-backup system; Paxos; and a scalable, transactional key-value storage system. EuroSys’19. A visual debugger/system explorer.

Systems 43

Systems Efficiency Testing Strategy 43

HammerDB

JUNE 27, 2022

The Transaction Processing Performance Council (TPC) was founded to bring standards to database benchmarking, and the history of the TPC can be found here. An additional specification called TPC-CH for hybrid transactional/analytical processing (HTAP) is under research and development for inclusion in a future release as TPROC-CH.

Benchmarking 62

Benchmarking Open Source C++ Cache 62

Testsigma

DECEMBER 1, 2020

Frameworks are crucial for any automated testing process in a software organization. They not only reduce the testing efforts and maintenance costs but also increase the return on investment (ROI) of an organization who is looking to optimize their agile processes. How to Build a Test Automation Framework from Scratch.

Testing 62

Testing Website DevOps Mobile 62

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

Particular Software

SEPTEMBER 20, 2021

It’s less of an apples-to-oranges comparison and more like apples-to-orange-sherbet. But to be fair, we also have to process the messages on the server before we can consider the messaging case to be complete. As a result, many more messages can be sitting in queues even while the system is processing at peak capacity.

Benchmarking 97

Benchmarking Latency Servers Systems 97

Dynatrace

SEPTEMBER 25, 2019

Citrix is a sophisticated, efficient, and highly scalable application delivery platform that is itself comprised of anywhere from hundreds to thousands of servers. Dynatrace automation and AI-powered monitoring of your entire IT landscape help you to engage your Citrix management tools where they are most efficient. Dynatrace news.

Latency 117

Latency Performance Virtualization Infrastructure 117

Highly Scalable

SEPTEMBER 18, 2012

Although it can hardly be said that NoSQL movement brought fundamentally new techniques into distributed data processing, it triggered an avalanche of practical studies and real-life trials of different combinations of protocols and algorithms. Read/Write requests are processes with a minimal latency. System Coordination.

Database 213

Database Latency C++ Scalability 213

Highly Scalable

APRIL 2, 2012

Categories can contain thousands of products and user cannot efficiently search though this array without powerful tools. The rationale behind these methods is that frontend should be able to fetch transient information very efficiently and separately from fetching of heavy-weight domain entities because this information cannot be cached.

Ecommerce 100

Ecommerce Cache Storage Architecture 100

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. Only overflow will await you.Â

Architecture 52

Architecture Performance Internet Internet 52

SQL Performance

SEPTEMBER 5, 2019

This table uses columnstore for its primary storage to produce batch mode execution later on. Here is the new SUM plan for comparison with the one from the first test: All 102,400 rows (in 114 batches) are emitted by the Columnstore Index Scan , processed by the Compute Scalar , and sent to the Hash Aggregate. c1 = @Start + N.

Performance 81

Performance C++ Storage Servers 81

Highly Scalable

MARCH 1, 2012

In this article I provide a short comparison of NoSQL system families from the data modeling point of view and digest several common modeling techniques. And this was where a new evolution of data models began: Key-Value storage is a very simplistic, but very powerful model. Processing complexity VS total data volume.

Database 279

Database Ecommerce Efficiency Engineering 279

Highly Scalable

MAY 1, 2012

Analysis of such large data sets often requires powerful distributed data stores like Hadoop and heavy data processing with techniques like MapReduce. This approach often leads to heavyweight high-latency analytical processes and poor applicability to realtime use cases. what is the cardinality of the data set)?

Analytics 191

Analytics Traffic Big Data Efficiency 191

The Morning Paper

MAY 28, 2019

The goal is to produce a low-energy hardware classifier for embedded applications doing local processing of sensor data. The resulting system can integrate seamlessly into a scikit-learn based development process, and dramatically reduces the total energy usage required for classification with very low latency. Introducing race logic.

Energy 52

Energy Hardware Efficiency Architecture 52

SQL Performance

AUGUST 23, 2019

This difference between row mode and batch mode execution makes it less easy to see if a bitmap is being created, but it does more accurately reflect the underlying process: In row-mode execution, the Bitmap operator populates the bitmap as rows flow through it, one at a time, before reaching the hash join build input.

Servers 75

Servers Engineering Efficiency Retail 75

Dynatrace

JANUARY 15, 2020

Citrix is a sophisticated, efficient, and highly scalable application delivery platform that is itself comprised of anywhere from hundreds to thousands of servers. Dynatrace automation and AI-powered monitoring of your entire IT landscape help you to engage your Citrix management tools where they are most efficient. Citrix VDA.

Latency 36

Latency Performance Virtualization Infrastructure 36

Alex Russell

APRIL 29, 2021

Chrome has missed several APIs for 3+ years: Storage Access API. Efficiently enables new styles of drawing content on the web , removing many hard tradeoffs between visual richness , accessibility, and performance. These TransformStream types help applications efficiently deal with large amounts of binary data. CSS Custom Paint.

Media 145

Media Games Education Engineering 145

Alex Russell

JULY 14, 2021

Here, native apps are doing work related to their core function; storage and tracking of user data are squarely within the four corners of the app's natural responsibilities. When users remain in a browser across sites, there's no heavy process switch between pages.

Google 129

Google Mobile Engineering Games 129

O'Reilly

MAY 19, 2020

Oddly, about 3% of non-adopters cited cost as a primary reason not to move workloads to cloud; cost-efficiency is usually touted as one of cloud’s most attractive features. A comparison of respondent organization size and share of applications hosted in the cloud.

Cloud 141

Cloud Serverless AWS DevOps 141

SQL Server According to Bob

JANUARY 11, 2020

DBCC Page Auditing DBCC page auditing is the process of executing common DBCC consistency checks as pages are read from disk. Streams ​​ NTFS volumes ​​ enable ​​ data files to have one or more secondary storage streams.

Servers 40

Servers Cache Database Media 40

Brendan Gregg

SEPTEMBER 5, 2017

There's also a ZFS send/recv code path that should try to use the TASK_INTERRUPTIBLE flag (as suggested by a coworker), to avoid a kernel hang (can't kill -9 the process). I wrote a page on it: [perf]. - **eBPF**: tracing features completed in 2016, this provides efficient programmatic tracing to existing kernel frameworks.

Virtualization 76

Virtualization AWS Engineering Hardware 76

Smashing Magazine

JANUARY 11, 2021

Micro-optimizations are great for keeping performance on track, but it’s critical to have clearly defined targets in mind — measurable goals that would influence any decisions made throughout the process. Also, as Patrick Meenan suggested, it’s worth to plan out a loading sequence and trade-offs during the design process.

Performance 145

Performance Cache Media Metrics 145

Smashing Magazine

JANUARY 7, 2019

So, if we created an overview of all the things we have to keep in mind when improving performance — from the very start of the process until the final release of the website — what would that list look like? Also, as Patrick Meenan suggested, it’s worth to plan out a loading sequence and trade-offs during the design process.

Performance 104

Performance Cache Metrics Network 104