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

Percona

JUNE 22, 2023

Database uptime and availability Monitoring database uptime and availability is crucial as it directly impacts the availability of critical data and the performance of applications or websites that rely on the MySQL database. Disk space usage Monitor the disk space usage of MySQL data files, log files, and temporary files.

Performance 107

Performance Monitoring Traffic Database 107

Abhishek Tiwari

DECEMBER 13, 2017

Can machine learning-based data structures i.e. learned data structures replace traditional data structures? The initial results show that learned data structures can outperform existing data structures. This has far-reaching implications how future data systems and algorithms will be designed. p = F(Key) ?

Artificial Intelligence 40

Artificial Intelligence Hardware Google Benchmarking 40

The Morning Paper

MAY 14, 2019

Seer: leveraging big data to navigate the complexity of performance debugging in cloud microservices Gan et al., When a QoS violation is predicted to occur and a culprit microservice located, Seer uses a lower level tracing infrastructure with hardware monitoring primitives to identify the reason behind the QoS violation.

Big Data 45

Big Data Cloud Performance Hardware 45

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

Highly Scalable

AUGUST 20, 2013

The shortcomings and drawbacks of batch-oriented data processing were widely recognized by the Big Data community quite a long time ago. 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.

Big Data 154

Big Data Processing Lambda Database 154

HammerDB

APRIL 19, 2023

Among the different components of modern software solutions, the database is one of the most critical. From this data, it can be argued that HammerDB is a better candidate to test MySQL database engine and CPU performance. This means, HammerDB prioritizes caching the data as much as possible and pushing the CPU utilization.

Performance 54

Performance Benchmarking Cache Storage 54

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

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. pid process ID.

Latency 68

Latency C++ Cache Programming 68

KeyCDN

JANUARY 23, 2020

These acronyms, which stand for real user monitoring and application performance monitoring, are software monitoring processes essential to measuring and evaluating applications in many different areas. RUM gathers data from real life users to analyze application performance. What is real user monitoring (RUM)? Usage performance.

Strategy 72

Strategy Metrics Monitoring Servers 72

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

ACM Sigarch

FEBRUARY 23, 2018

Engineers, like economists, deal with large amounts of data and pride ourselves on our clinical ability to analyze and solve complex problems. Hardware engineers design and implement solutions in RTL, while software engineers attempt to solve the problem either at the OS or application level.

Architecture 47

Architecture Cache Hardware Virtualization 47

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.). What happens if the random data is a valid pointer by coincidence? These partial stacks get grouped together on the left.

Java 145

Java Cache Google Hardware 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. 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

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. To monitor Redis® instances effectively, collect Redis metrics focusing on cache hit ratio, memory allocated, and latency threshold.

Strategy 130

Strategy Monitoring Latency DevOps 130

SQL Server According to Bob

JUNE 3, 2016

Ryan Stonecipher – Principle SQL Server Software Engineer. On the same hardware/machine repeat steps 1 thru 3 using an instance of SQL Server 2016 CTP 3.0 Note: You may need to execute the dbcc a second time so buffer cache is hot, eliminating I/O sub-system variants. print ‘Populating Data’ go.

Hardware 40

Hardware Cache Servers Software Engineering 40

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

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

The Netflix TechBlog

MARCH 8, 2021

Artists like to work at places where they can create groundbreaking entertainment instead of worrying about getting access to the software or source files they need. They need specialized hardware, access to petabytes of images, and digital content creation applications with controlled licenses. How did we get here?

Entertainment 306

Entertainment Storage Hardware Open Source 306

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. In React Native.

Storage 93

Storage Mobile Website Java 93

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

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 279

Serverless AWS Lambda Storage 279

Percona

AUGUST 8, 2023

As businesses grow and develop, the requirements that they have for their data platform grow along with it. Hardware considerations The first thing we have to consider here is the resources that the underlying host provides to the database. Let’s take a look at each common resource. MySQL has two main memory consumers.

Traffic 92

Traffic Cache Monitoring Database 92

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. The HammerDB name.

Benchmarking 62

Benchmarking Open Source C++ Cache 62

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

Percona

APRIL 17, 2023

We’ll also go over some best practices for MongoDB security as well as MongoDB data modeling. You can set this by adding the following lines to the /etc/sysctl.conf : vm.dirty_ratio = 15 vm.dirty_background_ratio = 5 Filesystems mount options MongoDB recommends the XFS filesystem for on-disk database data.

Best Practices 52

Best Practices Design Tuning Database 52

SQL Server According to Bob

DECEMBER 18, 2018

SQL Server relies on Forced-Unit-Access (Fua) I/O subsystem capabilities to provide data durability, detailed in the following documents: SQL Server 2000 I/O Basic and SQL Server I/O Basics, Chapter 2. Be sure to deploy SQL Server 2017 CU6 or newer for best data durability and performance results. “. The Back Story. 4 Socket, TPCC.

Servers 90

Servers Media Cache Storage 90

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 111

Availability Database Open Source Hardware 111

Alex Russell

APRIL 29, 2021

This post mines publicly available data on the pace of compatibility fixes and feature additions to assess the claim. This data set is derived by walking a subset of web platform features exposed to JavaScript and, as such, may not capture the full richness of a particular browser. Reduces data use and improves page load performance.

Media 145

Media Games Education Engineering 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. Therefore any programming abstraction must be low latency and the kernel needs to be kept off the path of persistent data access as much as possible.

Hardware 56

Hardware Programming Media Storage 56

The Morning Paper

APRIL 14, 2019

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. cache) can be partitioned across domains; for those that are instead time-multiplexed, we have to flush them during domain switches. Threat scenarios.

Hardware 44

Hardware Cache Latency Speed 44

ACM Sigarch

OCTOBER 12, 2020

An inte ger in Python consumes 24 bytes instead of 4 bytes (because every object carries around type information, reference counts, and more), while the overhead for data structures like lists or dictionaries can be 4x that of their C++ counterparts. Are caches large enough for this code? Consider Python. . As Leiserson et al.

C++ 108

C++ Benchmarking Hardware Architecture 108

ACM Sigarch

JULY 17, 2023

An example of a specification is the correct operation of the hardware of a microprocessor. If the fault is read but goes undetected, the outcome could be Silent Data Corruption (SDC). An SDC is the worst possible outcome of a fault, as it can have an arbitrary impact on the correctness of software running on the hardware.

Energy 52

Energy Hardware Best Practices Architecture 52

ScaleOut Software

JULY 27, 2018

For more than a decade, in-memory data grids (IMDGs) have proven their usefulness for storing fast-changing data in enterprise applications. Whether it’s ecommerce shopping carts, financial trading data, IoT telemetry, or airline reservations, these data sets need fast, reliable access for large, mission-critical workloads.

Scalability 40

Scalability Cache Airlines Healthcare 40

SQL Server According to Bob

JANUARY 11, 2020

To ensure data integrity for our customers who are running SQL Server, it is important that I/O environments provide appropriate functionality. Atomicity A transaction must be an atomic unit of work; either all of its data modifications are performed or none of them are performed.

Servers 40

Servers Cache Media Hardware 40

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