ScaleOut Software

APRIL 22, 2020

In this time of extremely high online usage, web sites and services have quickly become overloaded, clogged trying to manage high volumes of fast-changing data. Maintaining rapidly changing data in back-end databases creates bottlenecks that impact responsiveness. The Solution: Distributed Caching.

Cache 52

Cache Storage Servers Database 52

ScaleOut Software

APRIL 22, 2020

In this time of extremely high online usage, web sites and services have quickly become overloaded, clogged trying to manage high volumes of fast-changing data. Maintaining rapidly changing data in back-end databases creates bottlenecks that impact responsiveness. The Solution: Distributed Caching.

Cache 52

Cache Storage Servers Database 52

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

Scalegrid

FEBRUARY 8, 2024

A distributed storage system is foundational in today’s data-driven landscape, ensuring data spread over multiple servers is reliable, accessible, and manageable. Understanding distributed storage is imperative as data volumes and the need for robust storage solutions rise.

Storage 130

Storage Systems Big Data Azure 130

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 104

Cache Hardware Servers Benchmarking 104

Scalegrid

DECEMBER 21, 2023

In today’s data-driven world, the ability to effectively monitor and manage data is of paramount importance. Redis®, a powerful in-memory data store, is no exception. Key Takeaways Redis® monitoring is essential for safeguarding performance, reliability, and security.

Strategy 130

Strategy Monitoring Latency DevOps 130

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

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

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

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. In terms of MongoDB, it achieves WAL and data durability using a combination of both Journaling and Checkpoints. Starting with the basics, why is WAL needed in the first place?

Hardware 90

Hardware C++ Storage Cache 90

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

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 111

Traffic Hardware Cache Servers 111

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

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 195

Cache Architecture Database Government 195

The Morning Paper

JUNE 25, 2019

Designing far memory data structures: think outside the box Aguilera et al., Last time out we looked at some of the trade-offs between RInKs and LInKs , and the advantages of local in-memory data structures. For many data center applications this looks to me like it could be a compelling future choice. HotOS’19.

Design 80

Design Cache Hardware Scalability 80

Percona

AUGUST 8, 2023

As businesses grow and develop, the requirements that they have for their data platform grow along with it. Or worse yet, sometimes I get questions about regaining normal operations after a traffic increase caused performance destabilization. As the subject of this blog post suggests, this all comes down to proper capacity planning.

Traffic 90

Traffic Cache Monitoring Database 90

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. Amazon EventBridge: EventBridge to bridges the data gap between your applications and other services, such as Lambda or specific SaaS apps. Data Store.

Serverless 276

Serverless AWS Lambda Storage 276

Percona

APRIL 17, 2023

We’ll also go over some best practices for MongoDB security as well as MongoDB data modeling. Note that the intent of tuning the settings is not exclusively about improving performance but also enhancing the high availability and resilience of the MongoDB database. Spoiler alert: This post focuses on MongoDB 3.6.X

Best Practices 52

Best Practices Design Tuning Database 52

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. However, building and utilizing HCM presents challenges, including interconnecting various memory technologies (e.g.,

Latency 52

Latency Hardware Cache Architecture 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

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

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

The Morning Paper

MAY 14, 2019

Seer: leveraging big data to navigate the complexity of performance debugging in cloud microservices Gan et al., Finally, we show that Seer can identify application level design bugs, and provide insights on how to better architect microservices to achieve predictable performance. ASPLOS’19.

Big Data 45

Big Data Cloud Performance Hardware 45

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. Otherwise, it may result in the processing of garbage data and erroneous results. Hardware error.

Software 82

Software Software Testing Hardware 82

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 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

Percona

JUNE 22, 2023

To make data count and to ensure cloud computing is unabated, companies and organizations must have highly available databases. Fault tolerance aims for zero downtime and data loss. Data replication : Data is continually copied from one database to another to ensure that the system remains operational even if one database fails.

Availability 110

Availability Database Open Source Hardware 110

The Morning Paper

MARCH 8, 2020

This paper describes the design decisions behind the Snowflake cloud-based data warehouse. This paper presents Snowflake design and implementation along with a discussion on how recent changes in cloud infrastructure (emerging hardware, fine-grained billing, etc.) From shared-nothing to disaggregation. joins) during query processing.

Storage 112

Storage Engineering Cache Serverless 112

CSS Wizardry

AUGUST 7, 2019

TTFB isn’t just time spent on the server, it is also the time spent getting from our device to the sever and back again (carrying, that’s right, the first byte of data!). only to find that the resource they’re requesting isn’t in that PoP ’s cache. Routing: If you are using a CDN—and you should be!—a

Latency 269

Latency Ecommerce Servers Mobile 269

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

n0derunner

DECEMBER 18, 2018

How to improve large DB read performance by 2X. AES effectively provides Metadata Locality to complement the existing data locality that has always existed. a 10TB database with 20% hot data) we observe a 2X improvement in throughput for random access across the 2TB hot dataset. Nutanix AOS 5.10 For large datasets (e.g.

Performance 40

Performance Cache Hardware Storage 40

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

Percona

MAY 2, 2023

Questions Q: I have a MySQL server with 500 GB of RAM; my data set is 100 GB. 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.

Social Media 122

Social Media Database Servers Cache 122

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

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