DZone

MAY 19, 2019

Even if my application runs in the cloud on the JVM, despite all of those software layers abstracting away the underlying hardware, the volatile keyword is still needed due to the cache of the processor that my software runs on. The Volatile Keyword and the Cache of Modern Processors.

Cache 145

Cache Hardware Architecture Cloud 145

The Netflix TechBlog

NOVEMBER 15, 2022

Rendering is the final step in the VFX creation process, and processing on a render farm often can take several hours to complete just a single frame of a show, even when this process runs on the latest high-end hardware. Rendering on AWS provides the flexibility to control how quickly a project is completed.

Cloud 291

Cloud Entertainment AWS Infrastructure 291

CSS Wizardry

AUGUST 7, 2019

only to find that the resource they’re requesting isn’t in that PoP ’s cache. DDoS or heavy load: In a similar vein to the previous point, increased load with no way of auto-scaling your application will lead to degraded performance where you begin to probe the limits of your infrastructure. during our time optimising iPlayer.

Latency 274

Latency Ecommerce Servers Mobile 274

Percona

JUNE 22, 2023

As a MySQL database administrator, keeping a close eye on the performance of your MySQL server is crucial to ensure optimal database operations. A monitoring tool like Percona Monitoring and Management (PMM) is a popular choice among open source options for effectively monitoring MySQL performance.

Performance 136

Performance Monitoring Traffic Database 136

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. Poor performance has a compound effect on user expectations at an ecosystem level. Live by the link, die by the link.

Performance 127

Performance Network Mobile Metrics 127

Speed Curve

FEBRUARY 10, 2025

Your synthetic testing tool shows you how your pages perform in a clean lab environment, using variables – such as browser, connection type, even CPU power – that you've selected. Let's go into more detail about end-user performance culprits. For a myriad of reasons, older hardware can't always accommodate faster speeds.

Hardware 52

Hardware Internet Internet Speed 52

Randon ASCII

JANUARY 12, 2022

That meant I started having regular meetings with the hardware engineers who were working with IBM on the CPU which gave me even more expertise on this CPU, which was critical in helping me discover a design flaw in one of its instructions , and in helping game developers master this finicky beast. register files? arithmetic units?)

Cache 126

Cache Latency Benchmarking Hardware 126

Percona

MARCH 27, 2023

A lot of useful information can be retrieved from this schema, for example, table metadata and foreign key relations, but trying to query I_S can induce performance degradation if your server is under heavy load, as shown in the following example test. ” under heavy load + I_S queries” to check for performance degradation.

Cache 124

Cache Hardware Servers Benchmarking 124

The Morning Paper

MAY 23, 2019

Compress objects, not cache lines: an object-based compressed memory hierarchy Tsai & Sanchez, ASPLOS’19. Today’s paper introduces Zippads , which compared to a state of the art compressed memory hierarchy is able to achieve a 1.63x higher compression ratio and improve performance by 17%. ” The big idea. Implications.

Cache 61

Cache Benchmarking Hardware Java 61

Scalegrid

APRIL 16, 2020

This is why our BYOC pricing is less than our Dedicated Hosting pricing, as the costs listed for BYOC are only what you pay for ScaleGrid and don’t include your hardware costs. While this is a good way to get a rough estimate, your monthly cloud costs will indeed vary based on the amount of backups performed and your data transfer activity.

Cloud 242

Cloud Azure AWS Database 242

Scalegrid

JANUARY 25, 2024

Redis® is an in-memory database that provides blazingly fast performance. This makes it a compelling alternative to disk-based databases when performance is a concern. You might already use ScaleGrid hosting for Redis hosting to power your performance-sensitive applications.

Metrics 130

Metrics Monitoring Latency Cache 130

Brendan Gregg

FEBRUARY 28, 2023

At USENIX SREcon22 APAC I gave the opening keynote on the future of computer performance, rounding up the latest developments and making predictions of where I see things heading. This talk originated from my updates to [Systems Performance 2nd Edition], and this was the first time I've given this talk in person! Or even on a plane.

Performance 103

Performance Latency Cache Virtualization 103

Brendan Gregg

MARCH 16, 2024

I'm sure this delivered large performance improvements and I wouldn't try arguing against it. Only in extreme circumstances does the cost (in processor time and I-cache footprint) translate to a tangible benefit - circumstances which usually resort to hand-coded assembly anyway. The actual overhead depends on your workload.

Java 137

Java Cache Google Hardware 137

Percona

MARCH 28, 2023

It’s to ensure that our data is durable after each write operation and to make it persistent and consistent without compromising the performance. The same data, in the form of pages inside the Wiredtiger cache, are also marked dirty. So, what happens when there’s an unexpected crash or hardware failure?

Hardware 111

Hardware C++ Storage Cache 111

The Morning Paper

OCTOBER 4, 2020

Understanding operational 5G: a first measurement study on its coverage, performance and energy consumption , Xu et al., Here the first finding was that the current strategy for determining when to hand-off has a 25% probability of worsening your link performance after handover. Application performance. SIGCOMM’20.

Energy 130

Energy Latency Performance Network 130

DZone

AUGUST 16, 2019

If we are not prepared for this, the application performance will start degrading, and you will lose your audience and business. It’s not just a simple tweak you can turn on/off; it’s a long-time process that touches almost every single item in your stack, including both hardware and software sides of the system.

Scalability 145

Scalability Efficiency Hardware Software 145

ScaleOut Software

APRIL 22, 2020

The Solution: Distributed Caching. A widely used technology called distributed caching meets this need by storing frequently accessed data in memory on a server farm instead of within a database. It’s not enough simply to lash together a set of servers hosting a collection of in-memory caches.

Cache 52

Cache Storage Servers Database 52

ScaleOut Software

APRIL 22, 2020

The Solution: Distributed Caching. A widely used technology called distributed caching meets this need by storing frequently accessed data in memory on a server farm instead of within a database. It’s not enough simply to lash together a set of servers hosting a collection of in-memory caches.

Cache 52

Cache Storage Servers Database 52

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., The paper examines the implications of microservices at the hardware, OS and networking stack, cluster management, and application framework levels, as well as the impact of tail latency. ASPLOS’19.

Open Source 61

Open Source Hardware Benchmarking Systems 61

The Morning Paper

MARCH 8, 2020

This paper presents Snowflake design and implementation along with a discussion on how recent changes in cloud infrastructure (emerging hardware, fine-grained billing, etc.) The caching use case may be the most familiar, but in fact it’s not the primary purpose of the ephemeral storage service. of the persistent data on average.

Storage 112

Storage Engineering Cache Serverless 112

All Things Distributed

JULY 14, 2015

In this blog post, I will explain how these three new capabilities empower you to build applications with distributed systems architecture and create responsive, reliable, and high-performance applications using DynamoDB that work at any scale. DynamoDB Streams simplifies and improves this design pattern with a distributed systems approach.

Database 156

Database Lambda AWS IoT 156

Scalegrid

JANUARY 21, 2025

Buckle up as we delve into the world of Redis monitoring, exploring the most important Redis metrics, discussing essential tools, and even peering into the future of Redis performance management. Key Takeaways Redis monitoring is essential for safeguarding performance, reliability, and security.

Strategy 130

Strategy Monitoring Latency DevOps 130

ACM Sigarch

NOVEMBER 4, 2019

Krste Asanovic from UC Berkeley kicked off the main program sharing his experience on “ Rejuvenating Computer Architecture Research with Open-Source Hardware ”. He ended the keynote with a call to action for open hardware and tools to start the next wave of computing innovation. This year’s MICRO had three inspiring keynote talks.

Hardware 18

Hardware Architecture Programming Innovation 18

Percona

JANUARY 3, 2024

ProxySQL is a high-performance SQL proxy that runs as a daemon watched by a monitoring process. Below are backup methods to perform a backup restore of the ProxySQL server. and above Physical snapshot: A ProxySQL backup can be performed using the physical snapshot method. sec) File /var/lib/proxysql/proxybkp.cnf is saved.

Traffic 120

Traffic Hardware Cache Servers 120

Percona

SEPTEMBER 1, 2023

While there is no magic bullet for MySQL performance tuning, there are a few areas that can be focused on upfront that can dramatically improve the performance of your MySQL installation. What are the Benefits of MySQL Performance Tuning? Experiencing database performance issues?

Tuning 52

Tuning Database Performance Hardware 52

Percona

AUGUST 8, 2023

Or worse yet, sometimes I get questions about regaining normal operations after a traffic increase caused performance destabilization. Unfortunately, this topic is more of an art than a science, given that there is really no foolproof algorithm or approach that can tell you exactly where you might hit a bottleneck with server performance.

Traffic 98

Traffic Cache Monitoring Database 98

ACM Sigarch

OCTOBER 12, 2020

The focus of most published research in architecture is on applications implemented in high-performance, “ close-to-the-metal” languages essentially developed before computers got fast. The current state-of-the-art Python compiler, pypy , often yields around a 2x improvement in performance (and sometimes less).

C++ 108

C++ Benchmarking Hardware Architecture 108

Scalegrid

DECEMBER 21, 2023

Buckle up as we delve into the world of Redis® monitoring, exploring the most important Redis® metrics, discussing essential tools, and even peering into the future of Redis® performance management. Key Takeaways Redis® monitoring is essential for safeguarding performance, reliability, and security.

Strategy 130

Strategy Monitoring Latency DevOps 130

Highly Scalable

APRIL 2, 2012

From the business logic point of view, this was a pretty typical eCommerce service for hierarchical and faceted navigation, although not without peculiarities, but high performance requirements led us to the quite advanced architecture and technical design. So, the only way was to cache all necessary data to minimize interaction with RDBMS.

Ecommerce 100

Ecommerce Cache Storage Architecture 100

Percona

MAY 2, 2023

ChatGPT: The InnoDB buffer pool is used by MySQL to cache frequently accessed data in memory. Keep in mind that setting the buffer pool size too high may result in other processes on your server competing for memory, which can impact performance. 16) and monitoring the server’s performance.

Social Media 145

Social Media Database Servers Cache 145

Randon ASCII

SEPTEMBER 30, 2022

RuntimeBroker was CPU bound and was spending most of its time in a single thread that was busy performing queries on the results of a crawl over some directory: The next step was to look at the File I/O graph to see what directory was being scanned. Is there some RuntimeBroker caching? Is that a WinRT flaw, or a Voice Recorder flaw?

Software 100

Software Software Cache Hardware 100

Testsigma

JUNE 3, 2021

These software errors are usually uncovered during functionality testing, mostly can be present as: Difficult/ confusing functionality: If the user is unable to understand or perform a function on the application, then it should change. Hardware error. We focus on software so much that we forget about the hardware failures.

Software 82

Software Software Testing Hardware 82

John McCalpin

SEPTEMBER 17, 2018

Most Intel microprocessors support “HyperThreading” (Intel’s trademark for their implementation of “simultaneous multithreading”) — which allows the hardware to support (typically) two “Logical Processors” for each physical core. leaving half of the Logical Processors idle).

Hardware 40

Hardware Performance Cache Availability 40

John McCalpin

SEPTEMBER 17, 2018

Most Intel microprocessors support “HyperThreading” (Intel’s trademark for their implementation of “simultaneous multithreading”) — which allows the hardware to support (typically) two “Logical Processors” for each physical core. leaving half of the Logical Processors idle).

Hardware 40

Hardware Performance Cache Availability 40

Alex Russell

APRIL 29, 2021

Classics of the genre include: Apple's just focused on performance! The Performance Argument. 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. Web Performance APIs.

Media 145

Media Games Education Engineering 145

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. How does high availability work? Redundancy is also critical for disaster recovery.

Availability 132

Availability Database Open Source Hardware 132

Scalegrid

FEBRUARY 8, 2024

Key Takeaways Distributed storage systems benefit organizations by enhancing data availability, fault tolerance, and system scalability, leading to cost savings from reduced hardware needs, energy consumption, and personnel. They maintain fault tolerance and redundancy by replicating this information throughout various nodes in the system.

Storage 130

Storage Systems Big Data Azure 130