The Morning Paper

MAY 12, 2019

An open-source benchmark suite for microservices and their hardware-software implications for cloud & edge systems Gan et al., A typical architecture diagram for one of these services looks like this: Suitably armed with a set of benchmark microservices applications, the investigation can begin! Hardware implications.

Open Source 61

Open Source Hardware Benchmarking Systems 61

Dynatrace

OCTOBER 2, 2023

Limits of a lift-and-shift approach A traditional lift-and-shift approach, where teams migrate a monolithic application directly onto hardware hosted in the cloud, may seem like the logical first step toward application transformation. Likewise, refactoring and rewriting code takes a lot of time and effort.

Architecture 225

Architecture Artificial Intelligence Cloud Open Source 225

Daniel Lemire

FEBRUARY 8, 2019

The division by a power of two ( / (2 N )) can be implemented as a right shift if we are working with unsigned integers, which compiles to single instruction: that is possible because the underlying hardware uses a base 2. We also published our benchmarks for research purposes. I make my benchmarking code available.

C++ 279

C++ Benchmarking Hardware Testing 279

Scalegrid

DECEMBER 6, 2023

Traditional self-managed ones give organizations full control over their database infrastructure, such as picking the software and scaling it up. These databases require significant time commitment along with necessary technical skills plus hardware & software costs, all of which are without dedicated team assistance.

Database 130

Database Cloud Hardware Storage 130

HammerDB

JUNE 27, 2022

HammerDB is a software application for database benchmarking. It enables the user to measure database performance and make comparative judgements about database hardware and software. Databases are highly sophisticated software, and to design and run a fair benchmark workload is a complex undertaking.

Benchmarking 62

Benchmarking Open Source C++ Cache 62

DZone

FEBRUARY 27, 2021

As a Software Engineer, the mind is trained to seek optimizations in every aspect of development and ooze out every bit of available CPU Resource to deliver a performing application. One, by researching on the Internet; Two, by developing small programs and benchmarking. Ahem, Slow! In Byteland they have a very strange monetary system.

Java 214

Java C++ Benchmarking Programming 214

ACM Sigarch

OCTOBER 12, 2020

First, its origin was in a monoculture (the browser) wher e there was no need for compatibility with legacy code. Unfortunately, languages like Python have proven resistant to efficient implementation, partly because of their design, and partly because of limitations imposed by the need to interop with C code. MICRO 15 , Gope et al.,

C++ 108

C++ Benchmarking Hardware Architecture 108

All Things Distributed

NOVEMBER 21, 2018

People often ask me if developing for the cloud is any different from developing on-premises software. Verifying benchmark claims. The biggest difference between developing for the cloud and developing on-premises software is that in the cloud, you have much better access to how your customers are using your services.

Cloud 135

Cloud Benchmarking Performance AWS 135

Percona

AUGUST 22, 2023

Some of the most important elements include: No single point of failure (SPOF): You must eliminate any SPOF in the database environment, including any potential for an SPOF in physical or virtual hardware. Redundancy provides backups and safeguards against data loss in case of hardware failures. there cannot be high availability.

Availability 79

Availability Hardware Open Source Database 79

Dynatrace

NOVEMBER 11, 2020

Dynatrace OneAgent deployment and life-cycle management are already widely considered to be industry benchmarks for reliability and efficiency. The /opt directory is typically used for deployment of additional software running on the Unix system. Dynatrace news.

Best Practices 190

Best Practices Storage Java Benchmarking 190

Brendan Gregg

SEPTEMBER 25, 2021

The broken Java stacks turned out to be beneficial: They helped group together the os::javaTimeMillis() calls which otherwise might have have been scattered on top of different Java code paths, appearing as thin stacks everywhere. Without NMI, some kernel code paths (interrupts disabled) can't be profiled. But I'm not completely sure.

Speed 126

Speed Java AWS Virtualization 126

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. If a primary server fails, a backup server can take over and continue to serve requests.

Availability 105

Availability Database Open Source Hardware 105

Alex Russell

APRIL 29, 2021

As an engineer on a browser team, I'm privy to the blow-by-blow of various performance projects, benchmark fire drills, and the ways performance marketing (deeply) impacts engineering priorities. With each team, benchmarks lost are understood as bugs. is access to hardware devices. This is as it should be. Compression Streams.

Media 145

Media Games Education Engineering 145

HammerDB

FEBRUARY 25, 2021

HammerDB is a load testing and benchmarking application for relational databases. However, it is crucial that the benchmarking application does not have inherent bottlenecks that artificially limits the scalability of the database. Basic Benchmarking Concepts. Basic Benchmarking Concepts.

Programming 67

Programming Benchmarking Virtualization C++ 67

Brendan Gregg

SEPTEMBER 25, 2021

The broken Java stacks turned out to be beneficial: They helped group together the os::javaTimeMillis() calls which otherwise might have have been scattered on top of different Java code paths, appearing as thin stacks everywhere. Without NMI, some kernel code paths (interrupts disabled) can't be profiled.

Speed 52

Speed Java AWS Virtualization 52

Brendan Gregg

SEPTEMBER 25, 2021

The broken Java stacks turned out to be beneficial: They helped group together the os::javaTimeMillis() calls which otherwise might have have been scattered on top of different Java code paths, appearing as thin stacks everywhere. Without NMI, some kernel code paths (interrupts disabled) can't be profiled. But I'm not completely sure.

Speed 40

Speed Java AWS Virtualization 40

Percona

JULY 1, 2023

Understanding DBaaS DBaaS cloud services allow users to use databases without configuring physical hardware and infrastructure or installing software. Doing extensive benchmarks will be the subject of a future blog post. In any case, you should benchmark both RDS MySQL and Aurora before taking the decision to migrate.

AWS 52

AWS Database Serverless Storage 52

HammerDB

OCTOBER 12, 2018

As is also the case this limitation is at the database level (especially the storage engine) rather than the hardware level. For anyone benchmarking MySQL with HammerDB it is important to understand the differences from sysbench workloads as HammerDB is targeted at a testing a different usage model from sysbench. Configure MySQL.

Best Practices 40

Best Practices Scalability Performance C++ 40

John McCalpin

JANUARY 22, 2018

Introduction: In December 2017, my colleague Damon McDougall (now at AMD) asked for help in porting the fused multiply-add example code from a Colfax report ( [link] ) to the Xeon Phi x200 (Knights Landing) processors here at TACC. Instead, we found puzzle after puzzle. Instead, we found puzzle after puzzle.

Latency 40

Latency Hardware Code Testing 40

SQL Server According to Bob

JANUARY 11, 2020

Example 1: ​​ Hardware failure (CPU board) Battery backup on the caching controller maintained the data. Important Always consult with your hardware manufacturer for proper stable media strategies. Mirroring can be implemented at a software or hardware level.

Servers 40

Servers Cache Media Hardware 40

Alex Russell

JANUARY 30, 2024

HTML, CSS, images, and fonts can all be parsed and run at near wire speeds on low-end hardware, but JavaScript is at least three times more expensive, byte-for-byte. Lest we assume low-end means "short-lived", recent announcements regarding software support for these devices will considerably extend their impact.

Performance 90

Performance Network Mobile Speed 90

SQL Server According to Bob

JANUARY 11, 2020

​​ The following ​​ code ​​ example ​​ shows ​​ the setting ​​ of ​​ values ​​ in ​​ illegal ​​ array positions. scid=kb ; en-us;828339 ) on the Microsoft Web site.

Servers 40

Servers Cache Database Media 40

Scalegrid

JULY 13, 2020

Software Update License & Support (annual). $0. Oracle requires more complex ongoing administration, as all database configurations must evolve in conjunction with the data schemas and custom code. Oracle support for hardware and software packages is typically available at 22% of their licensing fees. Not available.

Open Source 244

Open Source Tuning C++ Database 244

Smashing Magazine

JANUARY 11, 2021

Have we optimized enough with tree-shaking, scope hoisting, code-splitting, and all the fancy loading patterns with intersection observer, progressive hydration, clients hints, HTTP/3, service workers and — oh my — edge workers? It’s much easier to reach performance goals when the code base is fresh or is just being refactored.

Performance 145

Performance Cache Media Metrics 145

Smashing Magazine

JANUARY 6, 2020

Is it worth exploring tree-shaking, scope hoisting, code-splitting, and all the fancy loading patterns with intersection observer, server push, clients hints, HTTP/2, service workers and — oh my — edge workers? It’s much easier to reach performance goals when the code base is fresh or is just being refactored.

Performance 145

Performance Cache Network Metrics 145

High Scalability

NOVEMBER 25, 2019

Java used to power core file system code. Python used to power client-side code, certain microservices, migration scripts, internal scripts. We use event-based sync in our desktop sync client code, as server events are happening they get pushed to the client from server and the client replays them locally.

Architecture 52

Architecture Cache Azure Storage 52