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

Dynatrace

JANUARY 16, 2023

The study analyzes factual Kubernetes production data from thousands of organizations worldwide that are using the Dynatrace Software Intelligence Platform to keep their Kubernetes clusters secure, healthy, and high performing. The report also reveals the leading programming languages practitioners use for application workloads.

Open Source 342

Open Source Java Operating System Programming 342

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 110

Performance Latency Cache Virtualization 110

The Netflix TechBlog

NOVEMBER 9, 2022

In both bands, performance characteristics remain consistent for the entire uptime of the JVM on the node, i.e. nodes never jumped the bands. Luckily, the m5.12xl instance type exposes a set of core PMCs (Performance Monitoring Counters, a.k.a. We also see much higher L1 cache activity combined with 4x higher count of MACHINE_CLEARS.

Hardware 363

Hardware Cache Performance Latency 363

Percona

MAY 1, 2023

In this blog post, we will delve into the world of PostgreSQL performance tuning and establish some basic guidelines for setting database parameters to enhance the performance of your PostgreSQL database, based on the workload. What is PostgreSQL performance tuning? Why is PostgreSQL performance tuning important?

Tuning 52

Tuning Efficiency Database Performance 52

The Netflix TechBlog

JUNE 4, 2019

Because microprocessors are so fast, computer architecture design has evolved towards adding various levels of caching between compute units and the main memory, in order to hide the latency of bringing the bits to the brains. CFS is widely used and therefore well tested and Linux machines around the world run with reasonable performance.

Cache 251

Cache Latency Airlines Logistics 251

Smashing Magazine

JANUARY 11, 2021

Front-End Performance Checklist 2021. Front-End Performance Checklist 2021. This guide has been kindly supported by our friends at LogRocket , a service that combines frontend performance monitoring , session replay, and product analytics to help you build better customer experiences. Web performance is a tricky beast, isn’t it?

Performance 145

Performance Cache Media Metrics 145

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 99

Cache Hardware Servers Benchmarking 99

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

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 136

Cache Hardware Architecture Cloud 136

HammerDB

APRIL 19, 2023

Predicting application performance is a difficult art, but an important one when choosing the target deployment environment. In this blog, we aim to call out some key considerations when trying to assess MySQL performance for your application. We will not concern ourselves with the raw throughput of workload.

Performance 54

Performance Benchmarking Cache Storage 54

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 124

Performance Network Cache Metrics 124

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

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 Programming 40

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

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

Dynatrace

AUGUST 30, 2019

Digital Performance: 99% reduction in Response Time, from 18.2s Reducing CPU Utilization to now only consume 15% of initially provisioned hardware. Dynatrace Real User Monitoring (RUM) captures very detailed user behavior, as well as experience and performance information, about every user on your applications.

Cache 197

Cache Database Architecture Government 197

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 86

Hardware C++ Storage Cache 86

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 107

Traffic Hardware Cache Servers 107

Smashing Magazine

JANUARY 21, 2021

How We Improved SmashingMag Performance. How We Improved SmashingMag Performance. Every web performance story is similar, isn’t it? A day when a project, fully polished and carefully optimized, gets launched, ranking high and soaring above performance scores in Lighthouse and WebPageTest. Vitaly Friedman.

Performance 145

Performance Cache Mobile Network 145

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 87

Traffic Cache Monitoring Database 87

ACM Sigarch

MAY 31, 2023

Heterogeneous and Composable Memory (HCM) offers a feasible solution for terabyte- or petabyte-scale systems, addressing the performance and efficiency demands of emerging big-data applications. CXL-based disaggregated memory provides a new opportunity with two orders of magnitude better performance than RDMA (as illustrated in Figure 2).

Latency 52

Latency Hardware Cache Architecture 52

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!

Performance 52

Performance Latency Cache Virtualization 52

Smashing Magazine

JANUARY 6, 2020

Front-End Performance Checklist 2020 [PDF, Apple Pages, MS Word]. Front-End Performance Checklist 2020 [PDF, Apple Pages, MS Word]. Web performance is a tricky beast, isn’t it? How do we actually know where we stand in terms of performance, and what our performance bottlenecks exactly are? Vitaly Friedman.

Performance 145

Performance Cache Network Metrics 145

Dynatrace

OCTOBER 7, 2021

Instead of worrying about infrastructure management functions, such as capacity provisioning and hardware maintenance, teams can focus on application design, deployment, and delivery. Serverless architecture offers several benefits for enterprises. Simplicity. The first benefit is simplicity. Data Store.

Serverless 280

Serverless AWS Lambda Storage 280

SQL Performance

MAY 22, 2019

It’s one of the things we look at during a health audit, and Kimberly has a great query from her Plan cache and optimizing for adhoc workloads post that’s part of our toolkit. About 1GB of the plan cache is for prepared and procedure plans, and they only take up about 300MB worth of space. DBCC FREEPROCCACHE ; GO. EXEC dbo. [

Cache 54

Cache Performance Hardware Servers 54

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

Smashing Magazine

JANUARY 7, 2019

Front-End Performance Checklist 2019 [PDF, Apple Pages, MS Word]. Front-End Performance Checklist 2019 [PDF, Apple Pages, MS Word]. Web performance is a tricky beast, isn’t it? How do we actually know where we stand in terms of performance, and what our performance bottlenecks exactly are? Vitaly Friedman.

Performance 103

Performance Cache Metrics Network 103

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 130

Software Software Cache Hardware 130

John McCalpin

AUGUST 1, 2018

Bandwidth, performance analysis has two recurring themes: How fast should this code (or “simple” variations on this code) run on this hardware? If I am analyzing (apparent) performance shortfalls, how can I distinguish between cause and effect ? The MPI runtime library. in ways that are seldom transparent.

Hardware 40

Hardware Transportation Performance Latency 40

n0derunner

DECEMBER 18, 2018

How to improve large DB read performance by 2X. In our experiment we deliberately size the active working-set to NOT fit into the metadata cache. On the same hardware with AES enabled – the time is cut in half. Additionally AES reduces the need to cache metadata in DRAM since local access is so fast.

Performance 40

Performance Cache Hardware Storage 40

HammerDB

JUNE 27, 2022

It enables the user to measure database performance and make comparative judgements about database hardware and software. The Transaction Processing Performance Council (TPC) was founded to bring standards to database benchmarking, and the history of the TPC can be found here. Cached vs Scaled Workloads. What is HammerDB?

Benchmarking 62

Benchmarking Open Source C++ Cache 62

Scalegrid

JANUARY 5, 2024

The DBMS is key to maintaining these aspects by offering a storage system that allows users to perform operations such as data insertion, deletion, and selection, thereby promoting enhanced data integration across diverse applications and platforms. Practical Applications of DBMS DBMS finds practical applications in various fields.

Efficiency 147

Efficiency Storage Database Scalability 147

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

Sutter's Mill

FEBRUARY 13, 2017

Tue-Thu Apr 25-27: High-Performance and Low-Latency C++ (Stockholm). On April 25-27, I’ll be in Stockholm (Kista) giving a three-day seminar on “High-Performance and Low-Latency C++.” Description.

Latency 51

Latency C++ Hardware Performance 51

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

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 269

Latency Ecommerce Servers Mobile 269