Brendan Gregg

NOVEMBER 29, 2017

In this configuration, the AMI and boot is paravirt (PV), the kernel is making hypercalls instead of privileged instructions, and the system is using paravirt network and storage drivers. It's all a bit confusing, and I wrote about this in 2014: [Xen Modes]. The AMI and boot are now HVM.

Virtualization 111

Virtualization AWS Hardware Storage 111

All Things Distributed

MAY 19, 2017

We decided to use our inventive powers to design and build a new database engine that would give database systems such as MySQL and PostgreSQL reliability and performance at scale, at a level that could serve even the most demanding OLTP applications.

Database 117

Database Design Cloud Storage 117

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. I also wrote about these topics in detail for my recent [Systems Performance 2nd Edition] book.

Performance 52

Performance Latency Hardware Storage 52

Brendan Gregg

FEBRUARY 28, 2023

This talk originated from my updates to Systems Performance 2nd Edition , and this was the first time I've given this talk in person! CXL in a way allows a custom memory controller to be added to a system, to increase memory capacity, bandwidth, and overall performance. Ford, et al., “TCP

Performance 52

Performance Latency Cache Virtualization 52

Brendan Gregg

DECEMBER 31, 2017

My last talk for 2017 was at AWS re:Invent, on "How Netflix Tunes EC2 Instances for Performance," an updated version of my [2014] talk. A video of the talk is on youtube : The slides are on slideshare : I love this talk as I get to share more about what the Performance and Operating Systems team at Netflix does, rather than just my work.

Tuning 61

Tuning AWS Best Practices Network 61

Brendan Gregg

DECEMBER 30, 2017

My last talk for 2017 was at AWS re:Invent, on "How Netflix Tunes EC2 Instances for Performance," an updated version of my [2014] talk. A video of the talk is on youtube : The slides are on slideshare : I love this talk as I get to share more about what the Performance and Operating Systems team at Netflix does, rather than just my work.

Tuning 52

Tuning AWS Best Practices Network 52

Percona

JUNE 4, 2023

Before we dive into the differences between MariaDB and MySQL, we will provide a thorough examination of each relational database management system (RDBMS). 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.

Open Source 52

Open Source Servers Storage Scalability 52

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 older Intel Xeon E5-26xx v3 (Haswell) series which was introduced in Q3 of 2014, had a maximum memory bandwidth of 2133MHz. Figure 2: Microsoft Project Olympus. Memory (GiB).

Azure 42

Azure Virtualization Storage Benchmarking 42

Brendan Gregg

NOVEMBER 28, 2017

In this configuration, the AMI and boot is paravirt (PV), the kernel is making hypercalls instead of privileged instructions, and the system is using paravirt network and storage drivers. It's all a bit confusing, and I wrote about this in 2014: [Xen Modes]. The AMI and boot are now HVM.

Virtualization 40

Virtualization AWS Hardware Storage 40

SQL Server According to Bob

JUNE 3, 2016

Use SQL Server Management Studio (SSMS) or your favorite query editor to connect to a SQL Server 2012 or 2014 instance. Note: You may need to execute the dbcc a second time so buffer cache is hot, eliminating I/O sub-system variants. 32GB RAM, 4 Core Hyper-threaded enabled 2.8Ghz, SSD Storage. SQL Server 2014. SQL Server.

Hardware 40

Hardware Cache Servers Software Engineering 40

SQL Performance

MARCH 17, 2020

Back in 2014, I wrote an article called Performance Tuning the Whole Query Plan. The optimizer chooses this plan without any hints on my system configuration because the estimated cost of the plan is below the cost threshold for parallelism. Cost" column shows the optimizer's cost estimate for each query as reported on the test system.

Servers 86

Servers Tuning Database Efficiency 86

Alex Russell

APRIL 29, 2021

After 20 years of neck-in-neck competition, often starting from common code lineages, there just isn't that much left to wring out of the system. Consistent improvement is the name of the game, and it can still have positive impacts, particularly as users lean on the system more heavily over time. Where Chrome Has Lagged.

Media 145

Media Games Education Engineering 145

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. ClickHouse is a great massively parallel analytical system. codecs','imgur','floppy','codec','adobe','android'] ? ? voting','maven'] ? ?

Database 40

Database Analytics Blockchain Healthcare 40

Alex Russell

MARCH 6, 2021

A then-representative $200USD device had 4-8 slow (in-order, low-cache) cores, ~2GiB of RAM, and relatively slow MLC NAND flash storage. mid-priced Androids were slightly faster than 2014's iPhone 6. The Moto G4 , for example. The cheapest (high volume) Androids perform like 2012/2013 iPhones, respectively.

Performance 124

Performance Network Cache Metrics 124

Brendan Gregg

SEPTEMBER 5, 2017

What follows are topics that may be of interest to anyone looking to migrate their systems and skillset: scan these to find topics that interest you. ## ZFS ZFS is available for Linux via the [zfsonlinux] and [OpenZFS] projects, and more recently was included in Canonical's Ubuntu Linux distribution: Ubuntu Xenial 16.04 LTS (April 2016).

Virtualization 76

Virtualization AWS Engineering Hardware 76

SQL Performance

APRIL 23, 2019

SQL Server 2014 added the ability to perform parallel batch-mode grouped aggregation within a single Hash Match Aggregate operator. Columnstore storage. To understand this, it is necessary to first review how columnstore storage works at a high level: A compressed row group contains a column segment for each column.

Servers 67

Servers Testing Metrics Storage 67

Abhishek Tiwari

NOVEMBER 3, 2018

Recently I was asked about content management systems (CMS) of the future - more specifically how they are evolving in the era of microservices, APIs, and serverless computing. They often get blindsided by vendor’s pitch and end-up making decision based on some fancy demos (see my post from 2014 on Adobe AEM ).

Systems 63

Systems Cache Website Network 63

Sutter's Mill

MARCH 11, 2024

We must make our software infrastructure more secure against the rise in cyberattacks (such as on power grids, hospitals, and banks), and safer against accidental failures with the increased use of software in life-critical systems (such as autonomous vehicles and autonomous weapons). But we can defend our programs and systems, and we will.

C++ 139

C++ Programming Code Java 139

SQL Server According to Bob

DECEMBER 31, 2018

Using SQL Server Management Studio (SSMS) and storing the events in a table requires reading the events, streaming to table storage followed by an order by event sequence query. Large traces can encounter the 32-bit SSMS memory limitations. CREATE EVENT SESSION [EventSequence] ON SERVER ADD EVENT sqlserver. event_sequence , sqlserver.

Efficiency 40

Efficiency Code Servers Cache 40

All Things Distributed

DECEMBER 12, 2018

We help Supercell to quickly develop, deploy, and scale their games to cope with varying numbers of gamers accessing the system throughout the course of the day. They rely on the AWS Cloud for their entire infrastructure and use almost every AWS service available. Telenor Connexion. Our AWS Europe (Stockholm) Region is open for business now.

AWS 124

AWS Cloud Games Serverless 124

O'Reilly

JULY 25, 2023

To provide some coherence to the music, I decided to use Taylor Swift songs since her discography covers the time span of most papers that I typically read: Her main albums were released in 2006, 2008, 2010, 2012, 2014, 2017, 2019, 2020, and 2022. This choice also inspired me to call my project Swift Papers.

Programming 98

Programming Code Design Benchmarking 98