Percona

NOVEMBER 2, 2023

Inside, you will learn: Why you should upgrade MongoDB Staying with outdated MongoDB versions can expose you to critical security vulnerabilities, suboptimal performance, and missed opportunities for efficiency. Improved performance : MongoDB continually fine-tunes its database engine, resulting in faster query execution and reduced latency.

Best Practices 90

Best Practices Hardware Tuning Scalability 90

Scalegrid

JANUARY 25, 2024

Understanding Redis Performance Indicators Redis is designed to handle high traffic and low latency with its in-memory data store and efficient data structures. Evaluating factors like hit rate, which assesses cache efficiency level, or tracking key evictions from the cache are also essential elements during the Redis monitoring process.

Metrics 130

Metrics Monitoring Latency Cache 130

Percona

OCTOBER 18, 2023

Resource allocation: Personnel, hardware, time, and money The migration to open source requires careful allocation (and knowledge) of the resources available to you. Evaluating your hardware requirements is another vital aspect of resource allocation. Look closely at your current infrastructure (hardware, storage, networks, etc.)

Open Source 95

Open Source Database Hardware Strategy 95

Dynatrace

NOVEMBER 15, 2021

Logs can include data about user inputs, system processes, and hardware states. Log analytics also help identify ways to make infrastructure environments more predictable, efficient, and resilient. Log analysis can reveal potential bottlenecks and inefficient configurations so teams can fine-tune system performance.

Analytics 220

Analytics Monitoring Artificial Intelligence DevOps 220

Abhishek Tiwari

SEPTEMBER 15, 2024

It's not the trendiest language out there, but it's known for its efficiency and low-level control. This allows NASA's engineers to fine-tune every aspect of the rover's behavior, optimizing for reliability rather than rapid development or ease of use. The choice of C as the programming language is telling.

Engineering 52

Engineering Social Media Hardware C++ 52

Scalegrid

AUGUST 30, 2024

This fine-tunes operational access inside RabbitMQ and facilitates complex naming conventions for resources and sophisticated rules regarding access. When persistent messages in RabbitMQ are encrypted, it ensures that even in the event of unsanctioned access to storage hardware, confidential information stays protected and secure.

Transportation 130

Transportation Virtualization Strategy Storage 130

Adrian Cockcroft

NOVEMBER 18, 2024

Paul Reed, Clean Energy & Sustainability, AWS Solutions, Amazon Web Services SUS101 | Advancing sustainable AWS infrastructure to power AI solutions In this session, learn how AWS is committed to innovating with data center efficiency and lowering its carbon footprint to build a more sustainable business.

AWS 98

AWS Energy Lambda Government 98

Percona

DECEMBER 27, 2023

Consequently, they might miss out on the benefits of integrating security into the SDLC, such as enhanced efficiency, speed, and quality in software delivery. It comprises numerous organizations from various sectors, including software, hardware, nonprofit, public, and academic.

Cloud 82

Cloud Open Source Strategy Best Practices 82

All Things Distributed

MARCH 19, 2018

Amazon SageMaker training supports powerful container management mechanisms that include spinning up large numbers of containers on different hardware with fast networking and access to the underlying hardware, such as GPUs. Post-training model tuning and rich states. This can all be done without touching a single line of code.

Scalability 134

Scalability Hardware AWS Tuning 134

Percona

AUGUST 27, 2018

assigning to a specific CPU) is a manageable resource, represented by the concept of “virtual CPU” as a term that includes CPU cores, hyperthreads, hardware threads, and so forth. Then we need to see IF implementing the tuning will work or not. It is possible to do more tuning in the case that ETL is too compromised.

Tuning 45

Tuning Virtualization Testing Servers 45

Dynatrace

SEPTEMBER 29, 2021

Container technology is very powerful as small teams can develop and package their application on laptops and then deploy it anywhere into staging or production environments without having to worry about dependencies, configurations, OS, hardware, and so on. The time and effort saved with testing and deployment are a game-changer for DevOps.

Open Source 312

Open Source Traffic DevOps Cloud 312

SQL Performance

JANUARY 23, 2020

Tom Davidson, Opening Microsoft's Performance-Tuning Toolbox SQL Server Pro Magazine, December 2003. Waits and Queues has been used as a SQL Server performance tuning methodology since Tom Davidson published the above article as well as the well-known SQL Server 2005 Waits and Queues whitepaper in 2006. The Top Queries That Weren't.

Tuning 115

Tuning Servers Monitoring Hardware 115

Percona

JANUARY 4, 2024

Managing storage and performance efficiently in your MySQL database is crucial, and general tablespaces offer flexibility in achieving this. Key features Multi-table storage : Unlike file-per-table tablespaces, which store each table in a separate file, general tablespaces can house numerous tables, enhancing storage efficiency.

Storage 91

Storage Engineering Database Hardware 91

The Morning Paper

NOVEMBER 10, 2019

Here are the bombshell paragraphs: Our datacenter applications seek ever more CPU-efficient and lower-latency communication, which Pony Express delivers. Rather than reimplement TCP/IP or refactor an existing transport, we started Pony Express from scratch to innovate on more efficient interfaces, architecture, and protocol.

Network 92

Network Transportation Latency Entertainment 92

The Morning Paper

JUNE 13, 2019

As we saw with the SOAP paper last time out, even with a fixed model variant and hardware there are a lot of different ways to map a training workload over the available hardware. Different hardware architectures (CPUs, GPUs, TPUs, FPGAs, ASICs, …) offer different performance and cost trade-offs.

Hardware 58

Hardware Latency Serverless Energy 58

Sutter's Mill

NOVEMBER 11, 2023

If you want to do efficient linear algebra, you don’t want to write your own code by hand; that would be slow. Instead, you want a library that is tuned for your target hardware architecture and ready for par_unseq vectorized algorithms, for blazing speed. This is that library.

C++ 126

C++ Lambda Network Programming 126

O'Reilly

SEPTEMBER 19, 2023

Doubly so as hardware improved, eating away at the lower end of Hadoop-worthy work. Google goes a step further in offering compute instances with its specialized TPU hardware. You can download these models to use out of the box, or employ minimal compute resources to fine-tune them for your particular task.

Hardware 101

Hardware Storage Big Data Blockchain 101

The Netflix TechBlog

APRIL 29, 2019

Such applications track the inventory of our network gear: what devices, of which models, with which hardware components, located in which sites. Demand Engineering Demand Engineering is responsible for Regional Failovers , Traffic Distribution, Capacity Operations and Fleet Efficiency of the Netflix cloud.

Open Source 280

Open Source Network Infrastructure Big Data 280

The Morning Paper

JUNE 27, 2019

The thrust of the argument is that there’s a chain of inter-linked assumptions / dependencies from the hardware all the way to the programming model, and any time you step outside of the mainstream it’s sufficiently hard to get acceptable performance that researchers are discouraged from doing so. Challenges compiling non-standard kernels.

Systems 87

Systems Programming Tuning Innovation 87

O'Reilly

NOVEMBER 28, 2023

Even with cloud-based foundation models like GPT-4, which eliminate the need to develop your own model or provide your own infrastructure, fine-tuning a model for any particular use case is still a major undertaking. That pricing won’t be sustainable, particularly as hardware shortages drive up the cost of building infrastructure.

Open Source 111

Open Source Google Artificial Intelligence Infrastructure 111

SQL Performance

MARCH 17, 2020

Back in 2014, I wrote an article called Performance Tuning the Whole Query Plan. This is very efficient, as confirmed by the elapsed time of 13ms (all of which is CPU time). The structure of a b-tree index makes finding the next highest value very efficient — there is no need to scan through the duplicates. Test Environment.

Servers 86

Servers Tuning Database Efficiency 86

Percona

JANUARY 19, 2023

In this blog post, we will review key topics to consider for managing large datasets more efficiently in MySQL. Redundant indexes: It is known that accessing rows by fetching an index is more efficient than through a table scan in most cases. It can help us to save costs on storage and backup times.

Open Source 91

Open Source Storage Database Big Data 91

The Morning Paper

MAY 21, 2019

Using zswap means that no new hardware solutions are required, enabling rapid deployment across clusters. The key to an efficient system is the identification of cold pages: the cold age threshold determines how many seconds we can go without a page being accessed before it is declared cold. ML-based auto-tuning. Evaluation.

Software 78

Software Software Google Hardware 78

Percona

AUGUST 5, 2023

Various partition types, like RANGE, LIST, HASH, and KEY, are used for specific needs, from range-based data to custom criteria, to ensure efficient data handling and the optimization of queries. ensures that only relevant partitions are accessed, further enhancing query efficiency. Partition pruning, a feature in MySQL 5.7,

Strategy 40

Strategy Storage Database Best Practices 40

Percona

APRIL 17, 2023

The main objective of this post is to share my experience over the past years tuning MongoDB and centralize the diverse sources that I crossed in this journey in a unique place. systemctl stop tuned $ systemctl disable tuned Dirty ratio The dirty_ratio is the percentage of total system memory that can hold dirty pages.

Best Practices 52

Best Practices Design Tuning Database 52

The Morning Paper

MARCH 17, 2020

most recently ‘ Efficient lock-free durable sets ‘). EWR is the ratio of bytes issue by the iMC divided by the number of bytes actually written to the 3D-XPoint media (as measured by the DIMM’s hardware counters). The guidelines… provide a starting point for building and tuning Optane-based systems.

Scalability 59

Scalability Latency Cache Media 59

All Things Distributed

MARCH 7, 2013

This allows us to tune both our hardware and our software to ensure that the end-to-end service is both cost-efficient and highly performant. ve been working hard over the past year to improve storage density and bring down the costs of our underlying hardware platform.

Ecommerce 124

Ecommerce Storage Scalability Hardware 124

Adrian Cockcroft

NOVEMBER 13, 2023

In the simplest case, you have a growing workload, and you optimize it to run more efficiently so that you don’t need to buy or rent additional hardware, so your carbon footprint stays the same, but the carbon per transaction or operation is going down. I’ve written before about how to tune out retry storms.

Energy 52

Energy Cloud Traffic Transportation 52

The Agile Manager

JUNE 30, 2015

A producer does this with a combination of efficiency (squeeze every penny from raw materials sourcing to distribution) and by appealing to or outright fueling user vanity (engender customer identity in every facet of its business). Operations and execution matter to the bottom line, but ultimately dance to the tune called by finance.

Software 40

Software Software Innovation Hardware 40

HammerDB

FEBRUARY 25, 2021

However, having the application logic in the client is even worse because you are sacrificing key database efficiencies of prepared statements. Of course, you can prepare individual statements, however you can see major efficiency gains by using natively compiled stored procedures. Glue language.

Programming 67

Programming Benchmarking Virtualization C++ 67

O'Reilly

OCTOBER 11, 2022

Andrew Ng , Christopher Ré , and others have pointed out that in the past decade, we’ve made a lot of progress with algorithms and hardware for running AI. Our current set of AI algorithms are good enough, as is our hardware; the hard problems are all about data. But the gain in efficiency would be relatively small.

Games 118

Games Healthcare Processing Systems 118

KeyCDN

SEPTEMBER 20, 2018

Error monitoring can get increasingly complicated as you deal with bugs reported by users and your production team, which is why having an efficient error tracking workflow from the beginning is so important. Not all back-end errors affect the user experience, but keeping track of them can prove helpful when tuning your app.

Monitoring 67

Monitoring Strategy Website Google 67

O'Reilly Software

APRIL 4, 2018

The data shape will dictate capacity planning, tuning of the backbone, and scalability analysis for individual components. A message-oriented implementation requires an efficient messaging backbone that facilitates the exchange of data in a reliable and secure way with the lowest latency possible. At least once? At most once?

Architecture 80

Architecture Scalability Google Operating System 80

SQL Server According to Bob

JANUARY 11, 2020

Example 1: ​​ Hardware failure (CPU board) Battery backup on the caching controller maintained the data. Important Always consult with your hardware manufacturer for proper stable media strategies. For specific information on I/O tuning and balancing, you will find more details in the following document.

Servers 40

Servers Cache Media Hardware 40

Abhishek Tiwari

JULY 12, 2018

A data pipeline is a software which runs on hardware. The software is error-prone and hardware failures are inevitable. If tuned for performance, there is a good change reliability is compromised - and vice versa. This can be efficient at the beginning but counter-productive in a long run.

Latency 63

Latency Analytics Scalability Engineering 63

KeyCDN

AUGUST 15, 2019

Before you begin tuning your website or application, you must first figure out which metrics matter most to your users and establish some achievable benchmarks. Prepare the testing environment: Make sure your hardware and network configurations closely reflect real world conditions. What is Performance Testing?

Testing Tools 55

Testing Tools Best Practices Performance Testing Testing 55

John McCalpin

JANUARY 22, 2018

Hardware performance counter results for a simple benchmark code calling Intel’s optimized DGEMM implementation for this processor (from the Intel MKL library) show that about 20% of the dynamic instruction count consists of instructions that are not packed SIMD operations (i.e., addl $1, %eax vfmadd213pd %zmm16, %zmm17, %zmm29.

Latency 40

Latency Hardware Code Testing 40