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

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

CSS Wizardry

AUGUST 7, 2019

The reason is because mobile networks are, as a rule, high latency connections. only to find that the resource they’re requesting isn’t in that PoP ’s cache. It’s vital that we understand just what TTFB can cover, and just how critical it can be to overall performance. Routing: If you are using a CDN—and you should be!—a

Latency 269

Latency Ecommerce Servers Mobile 269

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

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

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

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 124

Social Media Database Servers Cache 124

Smashing Magazine

JANUARY 15, 2019

How Improving Website Performance Can Help Save The Planet. How Improving Website Performance Can Help Save The Planet. Perhaps the biggest win when it comes to making websites more sustainable is that performance, user experience and sustainability are all neatly intertwined. Jack Lenox. 2019-01-15T13:30:32+01:00.

Website Performance 73

Website Performance Website Energy Performance 73

CSS - Tricks

JULY 25, 2019

This article is from my friend Ben who runs Calibre , a tool for monitoring the performance of websites. Now that Google uses page speed as a ranking factor, many organizations have become laser-focused on performance. To understand how these changes affect us from a performance perspective, we need to grasp the underlying technology.

Google 71

Google Engineering Speed Mobile 71

Brendan Gregg

AUGUST 18, 2019

bpftrace is a new open source tracer for Linux for analyzing production performance problems and troubleshooting software. Linux already has many performance tools, but these are often counter-based and have limited visibility. hardware Hardware counter-based instrumentation. usdt User-level statically defined tracing.

Latency 68

Latency C++ Cache Programming 68

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

Abhishek Tiwari

DECEMBER 13, 2017

More importantly, if this works out well, this could lead to a radical improvement in performance by leveraging hardware trends such as GPUs and TPUs. They demonstrated that neural nets based learned index outperforms cache-optimized B-Tree index by up to 70% in speed while saving an order-of-magnitude in memory.

Artificial Intelligence 40

Artificial Intelligence Hardware Google Benchmarking 40

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

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

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 198

Cache Architecture Database Government 198

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

The Netflix TechBlog

NOVEMBER 15, 2022

But it’s not easy: to pull this off, VFX studios need to build and operate serious technical infrastructure (compute, storage, networking, and software licensing), otherwise known as a “ render farm.” Many shows have needs that exceed 100,000 frames, so aggregate rendering time can impact the timely delivery of a show on Netflix.

Cloud 282

Cloud Entertainment AWS Infrastructure 282

Alex Russell

MARCH 6, 2021

Thanks to progress in networks and browsers (but not devices), a more generous global budget cap has emerged for sites constructed the "modern" way: ~100KiB of HTML/CSS/fonts and ~300-350KiB of JS (compressed) is the new rule-of-thumb limit for at least the next year or two. Live by the link, die by the link.

Performance 124

Performance Network Cache Metrics 124

Smashing Magazine

AUGUST 22, 2021

HTTP/3: Performance Improvements (Part 2). HTTP/3: Performance Improvements (Part 2). In this second part, we will zoom in on the performance improvements that QUIC and HTTP/3 bring to the table for web-page loading. HTTP/3 performance features ( current article ). Robin Marx. 2021-08-23T06:20:00+00:00.

Performance 105

Performance Network Latency Servers 105

Highly Scalable

AUGUST 20, 2013

High performance and mobility. The system should deliver performance of tens of thousands messages per second even on clusters of minimal size. Query processing could consist of multiple steps and each step could require its own partitioning strategy, so data shuffling is an operation frequently performed by distributed databases.

Big Data 154

Big Data Processing Lambda Database 154

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.

Open Source 61

Open Source Hardware Benchmarking Systems 61

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

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. Steve & Tim's Close-up Magic.

Media 145

Media Games Education Engineering 145

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

JUNE 25, 2019

There’s another emerging option that we didn’t talk about there: the use of far-memory , memory attached to the network that can be remotely accessed without mediation by a local processor. We need new data structures designed specifically for far memory that consider its assumptions and performance.

Design 80

Design Cache Hardware Scalability 80

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 112

Availability Database Open Source Hardware 112

Alex Russell

OCTOBER 22, 2017

TL;DR: performance budgets are an essential but under-appreciated part of product success and team health. We constrain ourselves to a real-world baseline device + network configuration to measure progress. Performance budgets are set early in the life of the project. Budgets are scaled to a benchmark network & device.

Performance 68

Performance Benchmarking Network Mobile 68

SQL Performance

APRIL 27, 2020

Gen 5 is the primary hardware option now for most regions since Gen 4 is aging out. The business-critical tier has local SSD which provide much better IO performance with max data IOPS ranging from 8000 for a 2 vCore database up to 204,800 for an 80 vCore database. New Hardware Configuration for Provisioned Compute Tier.

Azure 55

Azure Database Serverless Hardware 55

The Morning Paper

DECEMBER 8, 2019

At the start of November I was privileged to attend HPTS (the High Performance Transaction Systems) conference in Asilomar. Byte-addressable non-volatile memory,) NVM will fundamentally change the way hardware interacts, the way operating systems are designed, and the way applications operate on data. PLOS’19.

Hardware 56

Hardware Programming Media Storage 56

The Morning Paper

APRIL 14, 2019

When a side-channel is based on observing improved performance, a solution that removes the improved performance can work, but is clearly undesirable. The paper sets out what we can do in software given today’s hardware, and along the way also highlights areas where cooperation from hardware will be needed in the future.

Hardware 44

Hardware Cache Latency Speed 44

Percona

APRIL 17, 2023

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. For bare metals, any algorithm among deadline or noop (the performance difference between them is imperceptible) will be better than CFQ.

Best Practices 52

Best Practices Design Tuning Database 52

SQL Server According to Bob

JANUARY 11, 2020

This will help you increase system performance and avoid I/O environment errors. Atomicity A transaction must be an atomic unit of work; either all of its data modifications are performed or none of them are performed. Consistency When completed, a transaction must leave all data in a consistent state.

Servers 40

Servers Cache Media Hardware 40

The Morning Paper

FEBRUARY 20, 2020

The motivation is not that inference will perform better inside the database, but that the database is the best place to take advantage of enterprise features (transactions, security, auditing, HA, and so on). For single or very small numbers of predictions, Raven is faster due to SQL Server’s caching. " Query execution.

Processing 72

Processing Hardware Database Azure 72

SQL Performance

DECEMBER 17, 2019

This removes the burden of purchasing and maintaining your hardware, storage and networking infrastructure, while still giving you a very familiar experience with Windows and SQL Server itself. For high performance OLTP SQL Server workloads, the memory optimized type of Azure VMs is usually the best choice.

Azure 72

Azure Virtualization Servers Storage 72

The Morning Paper

SEPTEMBER 19, 2019

Could it be Analyzing efficient stream processing on modern hardware ? I don’t think so in this case, but this paper will take you down into the nitty-gritty of getting the best out of modern processors and networks, with up to two orders of magnitude single node throughput gains to be had. What’s their secret??? Do we want that?

Blockchain 46

Blockchain Hardware Google Analytics 46

ScaleOut Software

JULY 27, 2018

Looking beyond distributed caching, it’s their ability to perform data-parallel analysis that gives IMDGs such exciting capabilities. Application developers often deploy IMDGs as a distributed cache that sits between an application and its database; the IMDG offloads ephemeral data from the database.

Scalability 40

Scalability Cache Airlines Healthcare 40