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. Variations within these storage systems are called distributed file systems.

Storage 130

Storage Systems Big Data Azure 130

The Morning Paper

MAY 23, 2019

Compress objects, not cache lines: an object-based compressed memory hierarchy Tsai & Sanchez, ASPLOS’19. One of the important attributes of their design was easy and rapid deployment across an existing fleet. If we compress objects instead of cache lines though, we can get to a 56% compression ratio (c). Implications.

Cache 61

Cache Benchmarking Hardware Java 61

Percona

APRIL 17, 2023

For example, on a 128GB memory host, this can allow up to 38.4GB of dirty pages. Make sure the drives are mounted with noatime and also if the drives are behind a RAID controller with appropriate battery-backed cache. The background ratio won’t kick in until 12.8GB. By default, it uses 50% of the memory + 1 GB.

Best Practices 52

Best Practices Design Tuning Database 52

Percona

MARCH 28, 2023

” This acts as a step to ensure durability by recovering lost data from the same journal files in case of crashes, power, and hardware failures between the checkpoints (see below) Here’s what the process looks like. The same data, in the form of pages inside the Wiredtiger cache, are also marked dirty. wt and index-*.wt).

Hardware 85

Hardware C++ Storage Cache 85

Percona

SEPTEMBER 1, 2023

This results in expedited query execution, reduced resource utilization, and more efficient exploitation of the available hardware resources. This not only enhances performance but also enables you to make more efficient use of your hardware resources, potentially resulting in cost savings on infrastructure.

Tuning 52

Tuning Database Performance Hardware 52

Randon ASCII

SEPTEMBER 30, 2022

That said, this post describes one example of why modern software can be painfully slow. In my case the directory structure of my documents directory was entirely cached in memory so there was zero disk activity required to do the scan, but some users are not so lucky. Is there some RuntimeBroker caching?

Software 130

Software Software Cache Hardware 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., Microservices fundamentally change a lot of assumptions current cloud systems are designed with, and present both opportunities and challenges when optimizing for quality of service (QoS) and utilization.

Open Source 61

Open Source Hardware Benchmarking Systems 61

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

HammerDB

JUNE 27, 2022

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. Cached vs Scaled Workloads. Why HammerDB was developed.

Benchmarking 62

Benchmarking Open Source C++ Cache 62

ACM Sigarch

JULY 17, 2023

We then discuss defects observed, the role of test and design to address this problem, and identify research opportunities. An example of a specification is the correct operation of the hardware of a microprocessor. An example protection technique that can provide this capability is an Error Correcting Code (ECC).

Energy 52

Energy Hardware Best Practices Architecture 52

ACM Sigarch

OCTOBER 12, 2020

Programmers continue to write applications in them, and they continue to evolve: the just approved C++20 standard is the latest example. To be clear, these languages were not designed to be fast or space-efficient, but for ease of use. Are caches large enough for this code? Despite their age, these languages are far from dead!

C++ 108

C++ Benchmarking Hardware Architecture 108

Scalegrid

JANUARY 5, 2024

It was initially designed to mitigate the limitations of file management systems, including slow operations, inadequate security, and substantial data redundancy. It comprises a collection of interrelated data and a set of software tools that aid in the access, processing, and management of data.

Efficiency 147

Efficiency Storage Database Scalability 147

HammerDB

APRIL 19, 2023

For example, if you are buying the latest Amazon memory-optimized EC2 instance (R7iz), the AWS page ( [link] ) tells us the following: Up to 3.9 sysbench is a widely used open-source benchmarking tool that is designed to evaluate the performance of CPU, memory, disk I/O, and database systems. and 8.0.32

Performance 54

Performance Benchmarking Cache Storage 54

The Morning Paper

NOVEMBER 5, 2019

It’s also a fabulous example of recognising and challenging implicit assumptions. Breaking that assumption allowed Ceph to introduce a new storage backend called BlueStore with much better performance and predictability, and the ability to support the changing storage hardware landscape. Supporting new storage hardware.

Storage 64

Storage Systems Hardware Efficiency 64

SQL Server According to Bob

JANUARY 11, 2020

Stable media is commonly physical disk storage, but other devices and certain caching facilities qualify as well. Many high-end disk subsystems provide high-speed cache facilities to reduce the latency of read and write operations. This cache is often supported by a battery-powered backup facility.

Servers 40

Servers Cache Media Hardware 40

The Morning Paper

MARCH 17, 2020

Applications and files systems access App Direct memory using CPU instructions offering a variety of options for controlling the ordering of store operations: cache-line flush, cache-line write back, and non-temporal stores (bypassing the cache hierarchy). Use non-temporal stores for large transfers, and control cache evictions.

Scalability 59

Scalability Latency Cache Media 59

Smashing Magazine

JANUARY 11, 2021

Performance isn’t just a technical concern: it affects everything from accessibility to usability to search engine optimization, and when baking it into the workflow, design decisions have to be informed by their performance implications. Looking back now, things seem to have changed quite significantly.

Performance 145

Performance Cache Media Metrics 145

The Morning Paper

DECEMBER 8, 2019

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. The beauty of persistent memory is that we can use memory layouts for persistent data (with some considerations for volatile caches etc.

Hardware 56

Hardware Programming Media Storage 56

Brendan Gregg

AUGUST 18, 2019

For example, iostat(1), or a monitoring agent, may tell you your average disk latency, but not the distribution of this latency. This example instrumented one of many thousands of available events. Now a real example: # bpftrace -e 'kretprobe:sys_read /pid == 181/ { @bytes = hist(retval); }'. There's no filter. bashreadline.bt

Latency 68

Latency C++ Cache Programming 68

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. Microsoft currently has eight main types of virtual machines designed for different types of workloads. GHz, 128MB of L3 cache, 128 PCIe 4.0

Azure 72

Azure Virtualization Servers Storage 72

Smashing Magazine

JANUARY 6, 2020

Performance isn’t just a technical concern: it affects everything from accessibility to usability to search engine optimization, and when baking it into the workflow, design decisions have to be informed by their performance implications. Looking back now, things seem to have changed quite significantly. thanks, Guy Podjarny! ).

Performance 145

Performance Cache Network Metrics 145

Alex Russell

MARCH 6, 2021

A then-representative $200USD device had 4-8 slow (in-order, low-cache) cores, ~2GiB of RAM, and relatively slow MLC NAND flash storage. The Moto G4 , for example. Hardware Past As Performance Prologue. Chip design choices and silicon economics are the defining feature of the still-growing Performance Inequality Gap.

Performance 124

Performance Network Cache Metrics 124

John McCalpin

AUGUST 1, 2018

According to Dr. Bandwidth, performance analysis has two recurring themes: How fast should this code (or “simple” variations on this code) run on this hardware? The user environment defines the mapping of MPI ranks to hardware resources (cores, sockets, nodes). The MPI runtime library. in ways that are seldom transparent.

Hardware 40

Hardware Transportation Performance Latency 40

Smashing Magazine

JANUARY 7, 2019

Performance isn’t just a technical concern: it matters, and when baking it into the workflow, design decisions have to be informed by their performance implications. Without a strong alignment between dev/design and business/marketing teams, performance isn’t going to sustain long-term.

Performance 104

Performance Cache Network Metrics 104

All Things Distributed

JULY 14, 2015

Streams provide you with the underlying infrastructure to create new applications, such as continuously updated free-text search indexes, caches, or other creative extensions requiring up-to-date table changes. DynamoDB Streams simplifies and improves this design pattern with a distributed systems approach.

Database 167

Database Lambda AWS IoT 167

The Morning Paper

MAY 14, 2019

Finally, we show that Seer can identify application level design bugs, and provide insights on how to better architect microservices to achieve predictable performance. There are multiple sources of queueing in both hardware and software, and Seer works best when using deep instrumentation to capture these.

Big Data 45

Big Data Cloud Performance Hardware 45

ACM Sigarch

FEBRUARY 23, 2018

In his book “ Misbehaving: The Making of Behavioral Economics ”, he cites example after example of how human behavior does not follow economic expectations based on rational behavior, resulting in flawed economic models . We believed existing hardware and OS protocols protected the processor. Present Bias.

Architecture 47

Architecture Cache Hardware Virtualization 47

Alex Russell

APRIL 29, 2021

Apple's policy against browser engine choice adds years of delays beyond the (expected) delay of design iteration, specification authoring, and browser feature development. An extension to Service Workers that enables browsers to present users with cached content when offline. is access to hardware devices. Content Indexing.

Media 145

Media Games Education Engineering 145

Highly Scalable

APRIL 2, 2012

Some time ago I participated in design of a backend for one large online retailer company. In particular, we built this system on top of Oracle Coherence and designed our own data structures and indexes. In particular, we built this system on top of Oracle Coherence and designed our own data structures and indexes.

Ecommerce 100

Ecommerce Cache Storage Architecture 100

Smashing Magazine

AUGUST 15, 2021

Cache Merril. Companies can use technology roadmaps to review their internal IT , DevOps, infrastructure, architecture, software, internal system, and hardware procurement policies and procedures with innovation and efficiency in mind. How To Develop Your Business’ Technology Roadmap. How To Develop Your Business’ Technology Roadmap.

Technology 139

Technology Technology Development Strategy 139

Abhishek Tiwari

DECEMBER 27, 2017

Databricks Delta is a perfect example of this class. Both Alluxio and Apache Arrow are designed to enable the data interoperability between existing big data frameworks by being a common interface for high-performance in-memory access however the approach is different. Leveraging the recent hardware advances.

Big Data 49

Big Data Artificial Intelligence Storage Hardware 49

Smashing Magazine

JUNE 18, 2020

Example 1: Storage. That’s because they are meant for user preferences, as mentioned here in the case of iOS and here in the Android documentation when talking about the Security library which is designed to provide wrappers to the SharedPreferences specifically to encrypt the data before storing it. Secure Storage On Mobile.

Storage 93

Storage Mobile Website Java 93

Smashing Magazine

JANUARY 15, 2019

In 2013, A List Apart published Sustainable Web Design by James Christie. how much data does the browser have to download to display your website) and resource usage of the hardware serving and receiving the website. Sustainable Web Design. In 2016, O’Reilly published “ Designing For Sustainability ” by Tim Frick.

Website Performance 73

Website Performance Website Energy Performance 73

Smashing Magazine

JANUARY 21, 2021

We were designing and building things, setting up new products, refactoring the components, and publishing articles. Plus a service worker that caches all static assets and serves them for repeat views, along with cached versions of articles that a reader has already visited. Image source: Lighthouse Metrics ) ( Large preview ).

Performance 145

Performance Cache Mobile Network 145

Dotcom-Montior

JUNE 15, 2020

The censorship and monitoring of internet have evolved from anti-virus-like and firewall software to hardware security patches for all devices that uses internet. These updates will disable access of Google apps downloader, for example. IP Blocking. IP addresses from other countries are immediately filtered at the backbone router.

Monitoring 52

Monitoring Performance Artificial Intelligence Internet 52

High Scalability

NOVEMBER 25, 2019

To help our customers manage ongoing data explosion, we have designed many of the core components over the last few years. Edge caching. In general, Egnyte connect architecture shards and caches data at different levels based on: Amount of data. Nginx for disk based caching. Disk based caching. Hybrid Sync.

Architecture 52

Architecture Cache Azure Storage 52

SQL Server According to Bob

JUNE 3, 2016

My development collogues and I are starting a regular blog series, outlining the vast range of scalability improvements, allowing SQL Server 2016 to run across a wide array of hardware configurations, faster and better than previous releases of SQL Server. For example, by default SQL Server 2016 provides automatic, soft NUMA configuration.

Hardware 40

Hardware Software Engineering Transportation Scalability 40