The Morning Paper

FEBRUARY 20, 2020

Extending relational query processing with ML inference , Karanasos, CIDR’10. … based on interactions with enterprise customers, we expect that storage and inference of ML models will be subject to the same scrutiny and performance requirements of sensitive/mission-critical operational data. " Query execution.

Processing 72

Processing Hardware Database Azure 72

Dynatrace

AUGUST 5, 2022

In a distributed processing environment, message queuing is similar, although the speed and volume of messages are much greater. A producer creates the message, and a consumer processes it. Consumers store messages in a queue — usually in a buffer or on a storage medium — until they can process and delete them.

Monitoring 198

Monitoring Serverless Programming Speed 198

Dynatrace

AUGUST 5, 2022

In a distributed processing environment, message queuing is similar, although the speed and volume of messages are much greater. A producer creates the message, and a consumer processes it. Consumers store messages in a queue — usually in a buffer or on a storage medium — until they can process and delete them.

Monitoring 197

Monitoring Serverless Programming Speed 197

Dynatrace

JANUARY 16, 2023

On-premises data centers invest in higher capacity servers since they provide more flexibility in the long run, while the procurement price of hardware is only one of many cost factors. The immense growth of Kubernetes presents new security challenges in runtime and increased complexity in hardening CI/CD pipelines in development.

Open Source 342

Open Source Java Operating System Programming 342

Percona

FEBRUARY 24, 2023

Let’s take a look at how to get the benefits you need while spending less, based on the recommendations presented by Dani Guzmán Burgos, our Percona Monitoring and Management (PMM) Tech Lead, on this webinar (now available on demand) hosted in November last year. Usage reduction is a continuous process.

Cloud 122

Cloud Serverless AWS Storage 122

Scalegrid

DECEMBER 21, 2023

Such as: RedisInsight – Offers an easy way for users to oversee their Redis® information with visual cues; Prometheus – Providing long-term metrics storage solutions when tracking performance trends involving your instances; Grafana – Its user-friendly interface allows advanced capabilities in observing each instance.

Strategy 130

Strategy Monitoring Latency DevOps 130

Percona

OCTOBER 18, 2023

It’s a complex process involving various factors and meticulous planning. Today, we’ll be taking a deep dive into the intricacies of database migration, along with specific solutions to help make the process easier. Evaluating your hardware requirements is another vital aspect of resource allocation.

Open Source 95

Open Source Database Hardware Strategy 95

Percona

JULY 7, 2023

Unfortunately, using certain open source database software as part of an HA architecture can present significant challenges. Despite all its upside, PostgreSQL software presents such challenges. Can you afford the necessary hardware, software, and operational costs of maintaining a PostgreSQL HA solution?

Availability 87

Availability Open Source Architecture Database 87

Percona

NOVEMBER 3, 2023

About the cluster Following a step-by-step process, the objective is to create a four-node cluster consisting of: PostgreSQL version 15 Citus extension (I’ll be using version 11, but there are newer ones available.) psql pgbench <<_eof1_ qecho adding node citus3.

Database 107

Database Benchmarking Latency C++ 107

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 111

Availability Database Open Source Hardware 111

Scalegrid

JANUARY 25, 2024

Effective management of memory stores with policies like LRU/LFU proactive monitoring of the replication process and advanced metrics such as cache hit ratio and persistence indicators are crucial for ensuring data integrity and optimizing Redis’s performance. This plays a crucial role in supervising the replication process.

Metrics 130

Metrics Monitoring Latency Cache 130

Dotcom-Montior

MAY 12, 2020

Websites are now more than just the storage and retrieval of information to present content to users. A request will be sent from the client-side and an HTTP check waits on the server port to get the message, process it, and then send back the response. Hardware resources. Processing and generating the response.

Monitoring 63

Monitoring Entertainment Hardware Latency 63

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

The Morning Paper

DECEMBER 8, 2019

On the last morning of the conference Daniel Bittman presented some of the work being done in the context of the Twizzler OS project to explore new programming models for NVM. The eagle-eyed reader will have noticed another feature of this work in that quotation: the aim is to create a global address space that spans nodes and processes.

Hardware 56

Hardware Programming Media Storage 56

ScaleOut Software

APRIL 22, 2020

The solution to this challenge is to use scalable, memory-based data storage for fast-changing data so that web sites can keep up with exploding workloads. This object-oriented approach allows distributed caches to be viewed as more of an extension of an application’s in-memory data storage than as a separate storage tier.

Cache 52

Cache Storage Servers Database 52

ScaleOut Software

APRIL 22, 2020

The solution to this challenge is to use scalable, memory-based data storage for fast-changing data so that web sites can keep up with exploding workloads. This object-oriented approach allows distributed caches to be viewed as more of an extension of an application’s in-memory data storage than as a separate storage tier.

Cache 52

Cache Storage Servers Database 52

The Morning Paper

MAY 28, 2019

The goal is to produce a low-energy hardware classifier for embedded applications doing local processing of sensor data. The resulting system can integrate seamlessly into a scikit-learn based development process, and dramatically reduces the total energy usage required for classification with very low latency.

Energy 52

Energy Hardware Efficiency Architecture 52

SQL Performance

MARCH 17, 2020

I will be looking for distinct values in the BountyAmount column of the dbo.Votes table, presented in bounty amount order ascending. The Sort only has 19 rows to process, so it consumes only 1ms or so. Not everyone will be able to move to column store storage quickly, and it won't always be the right solution anyway.

Servers 86

Servers Tuning Database Efficiency 86

Percona

APRIL 17, 2023

For example: UUID=f41e390f-835b-4223-a9bb-9b45984ddf8d / xfs rw,noatime,attr2,inode64,noquota 0 0 Unix ulimit settings Most UNIX-like operating systems, including Linux and macOS, provide ways to limit and control the usage of system resources such as threads, files, and network connections on a per-process and per-user basis.

Best Practices 52

Best Practices Design Tuning Database 52

Testsigma

JULY 3, 2021

More control: While performing on-premise testing, organizations have more control over configurations, setup, hardware, and software. The security and data storage infrastructure has to meet certain security compliances and standards; only then, the infrastructure is good to go for testing. All of these require a lot of capital.

Cloud 57

Cloud Testing Storage DevOps 57

HammerDB

JANUARY 5, 2019

Some opinions claim that “Benchmarks are meaningless”, “benchmarks are irrelevant” or “benchmarks are nothing like your real applications” However for others “Benchmarks matter,” as they “account for the processing architecture and speed, memory, storage subsystems and the database engine.”

Benchmarking 40

Benchmarking Database Social Media Scalability 40

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. Advances in browser content processing. Hardware Past As Performance Prologue. The Moto G4 , for example. Modern network performance and availability. Content Is Dead, Long Live Content.

Performance 124

Performance Network Cache Metrics 124

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 Server According to Bob

JANUARY 11, 2020

​​ Because Microsoft must respond to changing market conditions, it should not be interpreted to be a commitment on the part of Microsoft, and Microsoft cannot guarantee the accuracy of any information presented after the date of publication. Stable Media Stable media is often confused with physical storage.

Servers 40

Servers Cache Media Hardware 40

Alex Russell

APRIL 29, 2021

Chrome has missed several APIs for 3+ years: Storage Access API. Helps media apps on the web save battery when doing video processing. Helps developers present better, more contextual options and prompts, reducing user annoyance and "prompt spam" Screen Wakelock. is access to hardware devices. Compression Streams.

Media 145

Media Games Education Engineering 145

SQL Server According to Bob

DECEMBER 18, 2018

Device level flushing may have an impact on your I/O caching, read ahead or other behaviors of the storage system. Neal, Matt, and others from Windows Storage, Windows Azure Storage, Windows Hyper-V, … validating Windows behaviors. · Any storage device that can survive a power outage. Starting with the Linux 4.18

Servers 90

Servers Media Cache Storage 90

Adrian Cockcroft

JUNE 21, 2022

I became the Sun UK local specialist in performance and hardware, and as Sun transitioned from a desktop workstation company to sell high end multiprocessor servers I was helping customers find and fix scalability problems. We had specializations in hardware, operating systems, databases, graphics, etc.

Tuning 52

Tuning Benchmarking Engineering C++ 52

HammerDB

OCTOBER 12, 2018

As is also the case this limitation is at the database level (especially the storage engine) rather than the hardware level. InnoDB is the storage engine that will deliver the best OLTP throughput and should be chosen for this test. . For this reason sysbench presents a vastly more simplified workload than HammerDB. .

Best Practices 40

Best Practices Scalability Performance C++ 40

Alex Russell

SEPTEMBER 20, 2020

Pre-publication gates were valuable when better answers weren't available, but commentators should update their priors to account for hardware and software progress of the past 13 years. The world didn't yet have pervasive multi-process browser sandboxing, JS JITs , or metal-speed binary isolation. Don't like the consequences?

Hardware 64

Hardware Mobile Programming Java 64

All Things Distributed

MARCH 11, 2015

From retail recommendations to genomics based product development, from financial risk management to start-ups measuring the effect of their new products, from digital marketing to fast processing of clinical trial data, all are taken to the next level by cloud based analytics. Cloud enables self-service analytics.

Analytics 135

Analytics Cloud Healthcare Retail 135

HammerDB

DECEMBER 5, 2020

A full understanding of why this is important requires some knowledge of the evolution of database hardware and software. This is not a new concept, as given in the description for the earlier TPC-B workload “ a transaction monitor can multiplex transaction streams to match the processing profile of the database subsystem.

C++ 40

C++ Benchmarking Virtualization Open Source 40

ACM Sigarch

NOVEMBER 1, 2019

This blog post gives a glimpse of the computer systems research papers presented at the USENIX Annual Technical Conference (ATC) 2019, with an emphasis on systems that use new hardware architectures. USENIX ATC is a top-tier venue with a broad range of systems research papers from both industry and academia. Heterogeneous ISA.

Architecture 12

Architecture Hardware Cache Storage 12

Adrian Cockcroft

NOVEMBER 11, 2019

Staff should be familiar with recovery processes and the behavior of the system when it’s working hard to mitigate failures. This discussion focuses on hardware, software and operational failure modes. There is no need to retry and no extra time taken when a failure is present. Book: Engineering a Safer World by Nancy G.

Latency 52

Latency Engineering Systems Hardware 52

Adrian Cockcroft

NOVEMBER 11, 2019

Staff should be familiar with recovery processes and the behavior of the system when it’s working hard to mitigate failures. This discussion focuses on hardware, software and operational failure modes. There is no need to retry and no extra time taken when a failure is present. Book: Engineering a Safer World by Nancy G.

Latency 53

Latency Engineering Systems Hardware 53

SQL Server According to Bob

JANUARY 11, 2020

​​ Because Microsoft must respond to changing market conditions, it should not be interpreted to be a commitment on the part of Microsoft, and Microsoft cannot guarantee the accuracy of any information presented after the date of publication. This White Paper is for informational purposes only.

Servers 40

Servers Cache Database Media 40

Alex Russell

JULY 14, 2021

Here, native apps are doing work related to their core function; storage and tracking of user data are squarely within the four corners of the app's natural responsibilities. Hardware access APIs, notably: Geolocation. When users remain in a browser across sites, there's no heavy process switch between pages. Web Bluetooth.

Google 121

Google Mobile Engineering Internet 121

The Morning Paper

JANUARY 19, 2020

But do A and C share the same storage, compute, or network resources for example? That’s not just the running components you immediately think of, but also the tool chains, deployment processes, monitoring tools, and everything else wrapped around them. Take a trivial example with three components A, B, and C.

C++ 50

C++ Systems Software Software 50