Uber Engineering

FEBRUARY 22, 2018

For context, we deployed more than 40 Schemaless instances and many thousands of storage nodes in 2016 alone. In 2014, Uber Engineering built Schemaless , our fault-tolerant and scalable datastore, to facilitate the rapid growth of our company.

Code 94

Code Storage Scalability Engineering 94

SQL Server According to Bob

JUNE 3, 2016

Internally DBCC CHECK* uses a page scanning coordinator design (MultiObjectScanner.) SQL Server 2016 changes the internal design to (CheckScanner), applying no lock semantics and a design similar to those used with In-Memory Optimized (Hekaton) objects, allowing DBCC operations to scale far better than previous releases.

Hardware 40

Hardware Servers Cache Software Engineering 40

SQL Server According to Bob

SEPTEMBER 26, 2016

When we released Always On Availability Groups in SQL Server 2012 as a new and powerful way to achieve high availability, hardware environments included NUMA machines with low-end multi-core processors and SATA and SAN drives for storage (some SSDs). Our design needed to scale and be adaptable to the modern hardware on the market.

Availability 40

Availability Servers Hardware Benchmarking 40

Brendan Gregg

FEBRUARY 28, 2023

Titus, the Netflix container management platform, is now open source,” [link] Apr 2018 - [Cutress 19] Dr. DDR6: Here's What to Expect in RAM Modules,” [link] Nov 2020 - [Salter 20] Jim Salter, “Western Digital releases new 18TB, 20TB EAMR drives,” [link] Jul 2020 - [Spier 20] Martin Spier, Brendan Gregg, et al.,

Performance 103

Performance Latency Cache Virtualization 103

Alex Russell

MARCH 6, 2021

Back in 2016, I gave a talk outlining the causes and effects of the terrible performance of web apps built using popular tools on the fastest-growing device segment: low-end to mid-range Android phones. A then-representative $200USD device had 4-8 slow (in-order, low-cache) cores, ~2GiB of RAM, and relatively slow MLC NAND flash storage.

Performance 127

Performance Network Mobile Metrics 127

Percona

JANUARY 24, 2023

Some of the built-in features ( wal_compression ) have been there since 2016, and almost all backup tools do the WAL compression before taking it to the backup repository. Attempts to compress PostgreSQL WAL at different levels have always been around since the beginning. The actual benefit of compression depends on many factors.

Database 142

Database Benchmarking Open Source Latency 142

Brendan Gregg

JULY 4, 2021

AWS Graviton2); for memory with the arrival of DDR5 and High Bandwidth Memory (HBM) on-processor; for storage including new uses for 3D Xpoint as a 3D NAND accelerator; for networking with the rise of QUIC and eXpress Data Path (XDP); and so on.

Performance 52

Performance Latency Hardware Storage 52

SQL Server According to Bob

NOVEMBER 8, 2016

SQL Server 2016 Service Pack 1 (all SKUs) , in combination with Windows Server 2016 (All SKUs) or Windows 10 Client introduces non-volatile memory support for the tail of the log file (LDF) which can significantly increase transaction throughput. Block storage is what you think of today as disk access. Tail Of Log Caching.

Cache 40

Cache Servers Media Storage 40

Percona

AUGUST 18, 2023

And I agree that in the modern age of cloud and huge flash storage, the vast majority of companies will never need to consider doing this in prod, but there is always a chance of its need. That said, other performance motivations mentioned above did play into it, especially before the days of multi-threaded replication. 10-Linux.x86_64.ssl101.tar.gz

Programming 98

Programming Servers Database Open Source 98

Brendan Gregg

FEBRUARY 28, 2023

Titus, the Netflix container management platform, is now open source,” [link] , Apr 2018 [Cutress 19] Dr. DDR6: Here's What to Expect in RAM Modules,” [link] , Nov 2020 [Salter 20] Jim Salter, “Western Digital releases new 18TB, 20TB EAMR drives,” [link] , Jul 2020 [Spier 20] Martin Spier, Brendan Gregg, et al.,

Performance 52

Performance Latency Cache Virtualization 52

Smashing Magazine

FEBRUARY 8, 2022

In 2016, I released the first version of the tool, then called not Statoscope, but Webpack Runtime Analyzer. We can import information from our metric storage into data. For example, we can record the daily average bundle build time, send it to storage with the metrics and then embed it into the custom report. Sergey Melukov.

Storage 89

Storage Code Metrics C++ 89

Smashing Magazine

JANUARY 15, 2019

In 2013, A List Apart published Sustainable Web Design by James Christie. An obvious metric here is CPU usage, but memory usage and other forms of data storage also play their part. Sustainable Web Design. In 2016, O’Reilly published “ Designing For Sustainability ” by Tim Frick.

Website Performance 78

Website Performance Website Energy Performance 78

SQL Performance

APRIL 8, 2019

Back on December 5, 2017, Microsoft announced that they were using AMD EPYC 7551 processors in their storage-optimized Lv2-Series virtual machines. The slightly newer Intel Xeon E5-26xx v4 (Broadwell) series which was introduced in Q1 of 2016, increased that to 2400MHz. They also only have 40 PCIe 3.0 lanes per processor. Memory (GiB).

Azure 42

Azure Virtualization Storage Benchmarking 42

Alex Russell

APRIL 29, 2021

At the time of the last Confluence run, the gap had stretched to nearly 1000 APIs, doubling since 2016. Chrome has missed several APIs for 3+ years: Storage Access API. For example, an area where Apple is absolutely killing it is in mobile CPU design. But perhaps counting APIs gives a distorted view? Where Chrome Has Lagged.

Media 145

Media Games Education Engineering 145

VoltDB

AUGUST 27, 2024

Volt Active Data (Volt) is a sophisticated real-time data platform intricately designed with multiple critical components, including high-speed data processing, in-memory storage, and ACID-compliant transactions. Why Jepsen Testing? A major customer found an atomicity bug in our export system last year.

Testing 52

Testing Database Network Systems 52

SQL Performance

MAY 1, 2019

The summary rows for heap tables without indexes are the same in both documents (no changes for SQL Server 2016): An explicit TABLOCK hint is not the only way to meet the requirement for table-level locking. This is reflected in the summary tables included in the Data Loading Performance Guide and the Tiger Team post.

Servers 47

Servers Database Testing Performance 47

Percona

JUNE 4, 2023

While originally designed to be a drop-in replacement for MySQL, it evolved into its own distinct database management system and is now maintained and supported by the MariaDB Foundation. Some key features and functionalities of MySQL include: Support for multiple storage engines, allowing users to choose what is suitable for their needs.

Open Source 52

Open Source Servers Storage Scalability 52

Alex Russell

OCTOBER 22, 2017

Add onto that the yawning chasm between low-end and high-end device performance thanks to chip design factors like cache sizes, and it can be difficult to know where to set a device baseline. The true median device from 2016 sold at about ~$200 unlocked. — Monica Dinculescu (@notwaldorf) September 20, 2016.

Performance 74

Performance Network Benchmarking Mobile 74

Particular Software

OCTOBER 3, 2017

This article was originally published on the NDC 2016 Blog. Event-Driven Architecture to the Rescue Event-driven architecture is a software design style that uses messaging techniques to convey events to other services. Have you ever had to deal with a function that had hundreds and hundreds of lines? It promotes asynchrony.

Architecture 49

Architecture Database Code Systems 49

CSS Wizardry

MARCH 3, 2019

Tip: There are a number of directives that Clear-Site-Data will accept: "cookies" , "storage" , "executionContexts" , and "*" (which, naturally, means ‘all of the above’). a CDN), to always serve the freshest possible copy, and not to persist anything to storage. Jake Archibald , 2016. Patrick McManus , 2016.

Cache 265

Cache Latency Strategy Servers 265

Testsigma

FEBRUARY 12, 2021

The implementation of emerging technologies has helped improve the process of software development, testing, design and deployment. billion in 2016. With the latest developments in IT sector services, the sector of QA testing has seen significant improvement and growth. Many changes are rendered through automated testing. from $12.6

Artificial Intelligence 92

Artificial Intelligence Software Software IoT 92

Percona

JANUARY 14, 2019

In a partitioned massively parallel database system, the storage format and sorting algorithm may not be optimized for that operation as we are reading multiple partitions in parallel. At the same time, it was not originally designed that way. voting','maven'] ? ? compose','xamarin','markdown','scrum','comic'] ? ?

Database 48

Database Analytics Blockchain Healthcare 48