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

Brendan Gregg

MARCH 16, 2024

To explain this example in more detail: The profiler periodically interrupts software execution, and for those disconnected stacks it happens to be the execution of the kernel software ("vfs*", "ext*", etc.). It shouldn't be 10%, unless it's cache effects. These partial stacks get grouped together on the left.

Java 145

Java Cache Google Hardware 145

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

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. Let’s explore each in more detail.

Serverless 276

Serverless AWS Lambda Storage 276

Percona

APRIL 17, 2023

Make sure the drives are mounted with noatime and also if the drives are behind a RAID controller with appropriate battery-backed cache. This schema design approach ensures data consistency and enables complex queries involving multiple tables, but it can be rigid and may pose scaling challenges as data volume increases.

Best Practices 52

Best Practices Design Tuning Database 52

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. In addition to the disaster recovery site, this design includes an external layer of nodes.

Availability 110

Availability Database Open Source Hardware 110

ACM Sigarch

MAY 31, 2023

using Compute Express Link or CXL), organizing memory components for optimal performance, adapting system software traditionally designed for homogeneous memory systems, and developing memory abstractions and programming constructs for HCM management. About CXL hardware availability with academia. Using emulation (e.g.

Latency 52

Latency Hardware Cache Architecture 52

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

HammerDB

JUNE 27, 2022

HammerDB is a software application for database benchmarking. 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.

Benchmarking 62

Benchmarking Open Source C++ Cache 62

Scalegrid

JANUARY 5, 2024

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

Efficiency 147

Efficiency Storage Database Scalability 147

Brendan Gregg

FEBRUARY 28, 2023

DDR6: Here's What to Expect in RAM Modules,” [link] Nov 2020 - [Salter 20] Jim Salter, “Western Digital releases new 18TB, 20TB EAMR drives,” [link] Jul 2020 - [Spier 20] Martin Spier, Brendan Gregg, et al.,

Performance 110

Performance Latency Cache Virtualization 110

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. While testing is important, exhaustive testing is challenging given the sheer size of modern processor designs.

Energy 52

Energy Hardware Best Practices Architecture 52

ACM Sigarch

OCTOBER 12, 2020

To be clear, these languages were not designed to be fast or space-efficient, but for ease of use. Unfortunately, languages like Python have proven resistant to efficient implementation, partly because of their design, and partly because of limitations imposed by the need to interop with C code. Are caches large enough for this code?

C++ 108

C++ Benchmarking Hardware Architecture 108

The Morning Paper

NOVEMBER 5, 2019

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. The storage backend is the software module directly managing the storage device attached to physical machines.

Storage 64

Storage Systems Hardware Efficiency 64

HammerDB

APRIL 19, 2023

Among the different components of modern software solutions, the database is one of the most critical. 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. on identical hardware, with identical settings, but at different load levels.

Performance 54

Performance Benchmarking Cache Storage 54

The Morning Paper

DECEMBER 10, 2019

…software operating on persistent data structures requires "global" pointers that remain valid after a process terminates, while hardware requires that a diverse set of devices all have the same mappings they need for bulk transfers to and from memory, and that they be able to do so for a potentially heterogeneous memory system. .

Hardware 52

Hardware Virtualization Operating System Programming 52

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

FEBRUARY 28, 2023

DDR6: Here's What to Expect in RAM Modules,” [link] , Nov 2020 [Salter 20] Jim Salter, “Western Digital releases new 18TB, 20TB EAMR drives,” [link] , Jul 2020 [Spier 20] Martin Spier, Brendan Gregg, et al.,

Performance 52

Performance Latency Cache Virtualization 52

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

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

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

Brendan Gregg

AUGUST 18, 2019

bpftrace is a new open source tracer for Linux for analyzing production performance problems and troubleshooting software. software Kernel software-based events. hardware Hardware counter-based instrumentation. Originally posted at https:/opensource.com/article/19/8/introduction-bpftrace. SYNOPSIS biolatency.bt

Latency 68

Latency C++ Cache Programming 68

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

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

ACM Sigarch

FEBRUARY 23, 2018

In industry, generally due to time-to-market restrictions, we tend to think extremely short term with evolutionary design changes rather than riskier revolutionary ideas that have a longer timeline for returns. I recall heated discussions 20+ years ago on whether speculative data in caches improves or degrades cache performance.

Architecture 47

Architecture Cache Hardware Virtualization 47

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. Map design decisions against performance budget and the priorities defined early on.

Performance 145

Performance Cache Network Metrics 145

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

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. Setting Realistic Goals.

Performance 103

Performance Cache Metrics Network 103

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. One can only download apps using the manufacturer’s downloader software, where VPN installers and other banned apps are not available for installation. IP Blocking.

Monitoring 52

Monitoring Performance Artificial Intelligence Internet 52

Abhishek Tiwari

DECEMBER 13, 2017

This has far-reaching implications how future data systems and algorithms will be designed. 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. Data structures are very foundational for the computer science and software engineering.

Artificial Intelligence 40

Artificial Intelligence Hardware Google Benchmarking 40

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. The following table is taken from an ASP.NET, session state cache, stress test.

Hardware 40

Hardware Software Engineering Transportation Scalability 40

SQL Server According to Bob

JUNE 3, 2016

Internally DBCC CHECK* uses a page scanning coordinator design (MultiObjectScanner.) SQL Server 2016 changes the internal design to (CheckScanner), applying no lock semantics and a design similar to those used with In-Memory Optimized (Hekaton) objects, allowing DBCC operations to scale far better than previous releases.

Hardware 40

Hardware Cache Servers Software Engineering 40

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

Smashing Magazine

JUNE 18, 2020

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. Large preview ). In React Native.

Storage 93

Storage Mobile Website Java 93

SQL Server According to Bob

JANUARY 11, 2020

​​ With new ​​ innovations ​​ come ​​ new terms, designs, ​​ and ​​ algorithms. The ​​ SQL Server 2000 I/O Basics ​​ document is a prerequisite to ​​ the information contained in this ​​ document.

Servers 40

Servers Cache Database Media 40

All Things Distributed

JANUARY 18, 2012

a Fast and Scalable NoSQL Database Service Designed for Internet Scale Applications. Today is a very exciting day as we release Amazon DynamoDB , a fast, highly reliable and cost-effective NoSQL database service designed for internet scale applications. Amazon DynamoDB â?? By Werner Vogels on 18 January 2012 07:00 AM. Comments ().

Scalability 167

Scalability Database Ecommerce Latency 167

Highly Scalable

AUGUST 20, 2013

This system has been designed to supplement and succeed the existing Hadoop-based system that had too high latency of data processing and too high maintenance costs. The design of the in-stream processing engine itself was driven by the following requirements: SQL-like functionality. Fault-tolerance.

Big Data 154

Big Data Processing Lambda Database 154