Scalegrid

JANUARY 5, 2024

Despite initial investment costs, DBMS presents long-term savings and improved efficiency through automated processes, efficient query optimizations, and scalability, contributing to enhanced decision-making and end-user productivity. It provides tools for organizing and retrieving data efficiently.

Efficiency 147

Efficiency Storage Database Scalability 147

John McCalpin

SEPTEMBER 17, 2018

Most Intel microprocessors support “HyperThreading” (Intel’s trademark for their implementation of “simultaneous multithreading”) — which allows the hardware to support (typically) two “Logical Processors” for each physical core. leaving half of the Logical Processors idle).

Hardware 40

Hardware Performance Cache Programming 40

Testsigma

JUNE 3, 2021

Example: An e-commerce website is unable to process the payment part. Otherwise, it may result in the processing of garbage data and erroneous results. Hardware error. We focus on software so much that we forget about the hardware failures. Hardware issues. Caching errors. Testing errors. Coding practices.

Software 82

Software Software Testing Hardware 82

Percona

MAY 1, 2023

Key areas include: Configuration parameter tuning : This tuning involves altering variables such as memory allocation, disk I/O settings, and concurrent connections based on specific hardware and requirements. Throughput: The throughput of an application is directly influenced by the speed at which the database can process and serve queries.

Tuning 52

Tuning Efficiency Database Performance 52

DZone

FEBRUARY 21, 2021

CPU consumption in Unix/Linux operating systems are studied using 8 different metrics: User CPU time , System CPU time , nice CPU time , Idle CPU time , Waiting CPU time , Hardware Interrupt CPU time , Software Interrupt CPU time , and Stolen CPU time. In Unix/Linux operating systems, processes are launched with a priority 0 (default).

Operating System 133

Operating System Hardware Metrics Systems 133

Percona

JUNE 22, 2023

This includes metrics such as query execution time, the number of queries executed per second, and the utilization of query cache and adaptive hash index. query cache: Disable (query_cache_size: 0, query_cache_type:OFF) innodb_adaptive_hash_index: Check adaptive hash index usage to determine its efficiency.

Performance 102

Performance Monitoring Traffic Database 102

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. joins) during query processing.

Storage 112

Storage Engineering Cache Serverless 112

Percona

MAY 2, 2023

Let’s look at some questions I did that a MySQL DBA usually needs to answer in an interview process. ChatGPT: The InnoDB buffer pool is used by MySQL to cache frequently accessed data in memory. If we expand the cache concept more, the buffer pool could be even less if the working set (hot data) is smaller.

Social Media 119

Social Media Database Servers Cache 119

Brendan Gregg

FEBRUARY 28, 2023

Make sure your system can handle next-generation DRAM,” [link] Nov 2011 - [Hruska 12] Joel Hruska, “The future of CPU scaling: Exploring options on the cutting edge,” [link] Feb 2012 - [Gregg 13] Brendan Gregg, “Blazing Performance with Flame Graphs,” [link] 2013 - [Shimpi 13] Anand Lal Shimpi, “Seagate to Ship 5TB HDD in 2014 using Shingled Magnetic (..)

Performance 110

Performance Latency Cache Virtualization 110

HammerDB

APRIL 19, 2023

In the context of MySQL performance evaluation, it simulates a typical online transaction processing (OLTP) workload on your MySQL database. The OLTP workload simulates a typical online transaction processing workload, where multiple clients execute transactions on a database concurrently. and 8.0.32 HammerDB 4.5 to 8.0.32.

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. But let’s take a quick look at the changing hardware landscape before we go on… The changing hardware landscape.

Storage 64

Storage Systems Hardware Efficiency 64

Brendan Gregg

AUGUST 18, 2019

bpftrace uses BPF (Berkeley Packet Filter), an in-kernel execution engine that processes a virtual instruction set. hardware Hardware counter-based instrumentation. pid process ID. comm Process or command name. Syscall counts by process bpftrace -e 'tracepoint:raw_syscalls:sys_enter { @[comm] = count() }'.

Latency 68

Latency C++ Cache Programming 68

Alex Russell

JUNE 19, 2020

During the port from Wordpress I've also been pleasantly surprised at how quick the build process is, particularly given the ways build-time work has grown as I've added features like comment imports. Eleventy is I/O heavy, and for correctness sake, it didn't do much caching. Copied 1189 files / Wrote 1175 files in 5.75 MiB | 2.99

Cache 49

Cache Hardware Speed Cloud 49

CSS - Tricks

JULY 25, 2019

Cache-Headers missing? This process works by obtaining mobile 75th and 95th percentiles from HTTP Archive , then applying a log normal function. Service workers that will cache the bytecode result of a parsed and compiled script. After that, it’ll be mitigated by cache. What changed in PageSpeed 5.0? First CPU Idle.

Google 71

Google Engineering Speed Mobile 71

Brendan Gregg

FEBRUARY 28, 2023

Make sure your system can handle next-generation DRAM,” [link] , Nov 2011 [Hruska 12] Joel Hruska, “The future of CPU scaling: Exploring options on the cutting edge,” [link] , Feb 2012 [Gregg 13] Brendan Gregg, “Blazing Performance with Flame Graphs,” [link] , 2013 [Shimpi 13] Anand Lal Shimpi, “Seagate to Ship 5TB HDD in 2014 using Shingled Magnetic (..)

Performance 52

Performance Latency Cache Virtualization 52

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

The Morning Paper

OCTOBER 4, 2020

Emerging architectures that shorten the path length, e.g. edge caching and computing, may also confine the latency. The bulk of this latency comes from on-device frame processing, not network transmission delay. Application performance. In a web browsing test, 5G only reduced page loading times (PLT) by about 5% compared to 4G.

Energy 130

Energy Latency Performance Network 130

ACM Sigarch

FEBRUARY 23, 2018

Hardware engineers design and implement solutions in RTL, while software engineers attempt to solve the problem either at the OS or application level. Architects were always aware of the impact speculative execution has on the performance of microarchitectural structures from branch predictors to caches.

Architecture 47

Architecture Cache Hardware Virtualization 47

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. This process should not be confused with synthetic monitoring which gathers data through synthetic transactions such as pinging a service.

Strategy 72

Strategy Metrics Monitoring Servers 72

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. A website that is accessed in China for the first time will have a slow loading time due to this process. All information typed by users are collected for future analysis.

Monitoring 52

Monitoring Performance Artificial Intelligence Internet 52

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. This process effectively duplicates essential parts of information to safeguard against potential loss.

Storage 130

Storage Systems Big Data Azure 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

The Netflix TechBlog

NOVEMBER 15, 2022

Rachel Kelley (AWS), Ranjit Raju (AWS) Rendering is core to the the VFX process VFX studios around the world create amazing imagery for Netflix productions. By: Peter Cioni (Netflix), Alex Schworer (Netflix), Mac Moore (Conductor Tech.), Rendering on AWS provides the flexibility to control how quickly a project is completed.

Cloud 282

Cloud Entertainment AWS Infrastructure 282

The Morning Paper

DECEMBER 1, 2019

Memory might be durable, but… …it is expected that caches and registers will remain volatile. One bit is used to mark a node as invalid while it is in the process of being inserted into the list, and the other bit is used as a logical deletion marker. Link-free sets.

Efficiency 60

Efficiency Cache C++ Performance 60

The Morning Paper

FEBRUARY 20, 2020

Extending relational query processing with ML inference , Karanasos, CIDR’10. The vision is that data scientists use their favourite ML framework to construct a model, which together with any data pre-processing steps and library dependencies forms a model pipeline. " Query execution.

Processing 72

Processing Hardware Database Azure 72

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

Scalegrid

DECEMBER 21, 2023

To monitor Redis® instances effectively, collect Redis metrics focusing on cache hit ratio, memory allocated, and latency threshold. Advanced monitoring techniques enable you to identify potential issues, such as high latency, CPU utilization, command throughput, and cache hit rate before they become major problems.

Strategy 130

Strategy Monitoring Latency DevOps 130

Percona

MARCH 28, 2023

Journal It’s a process where every write operation gets written (appended) from Memory to a Journal file, AKA transaction log that exists on disk at a specific interval configured using “ journalCommitIntervalMs.” 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

MARCH 23, 2023

Hardware Memory The amount of RAM to be provisioned for database servers can vary greatly depending on the size of the database and the specific requirements of the company. As datasets continue to grow in size, the amount of RAM required to store and process these datasets also increases. Refer to innodb_redo_log_capacity below.

Performance 123

Performance Hardware Tuning Storage 123

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. Using a low-code visual workflow approach, organizations can orchestrate key services, automate critical processes, and create new serverless applications.

Serverless 286

Serverless AWS Lambda Storage 286

Smashing Magazine

JANUARY 15, 2019

how much data does the browser have to download to display your website) and resource usage of the hardware serving and receiving the website. For the more adventurous/technical, the top (table of processes) command provides similar metrics on most Unix-like operating systems such as macOS and Ubuntu. These include data transfer (i.e.

Website Performance 73

Website Performance Website Energy Performance 73

Dynatrace

AUGUST 30, 2019

Reducing CPU Utilization to now only consume 15% of initially provisioned hardware. Missing Cache Settings – Make sure you cache resources that don’t change often on the browser or use a CDN. Missing caching layers, e.g. provide a read-only cache for static data. Missing retry and failover implementations.

Cache 201

Cache Database Architecture Government 201

Percona

AUGUST 8, 2023

Hardware considerations The first thing we have to consider here is the resources that the underlying host provides to the database. Global caches like the InnoDB buffer pool and MyISAM key cache and session-level caches like the sort buffer, join buffer, random read buffer, etc. Do these queries use more caches?

Traffic 87

Traffic Cache Monitoring Database 87

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.

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. ASPLOS’19.

Open Source 61

Open Source Hardware Benchmarking Systems 61

Randon ASCII

SEPTEMBER 30, 2022

Modern software loves to use additional processes so I wasn’t surprised when the busiest process wasn’t SoundRec.exe , but the verbosely named “RuntimeBroker.exe <Microsoft.WindowsSoundRecorder>”. Is there some RuntimeBroker caching? Is that a WinRT flaw, or a Voice Recorder flaw?

Software 130

Software Software Cache Hardware 130