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. This speeds up accesses and updates while offloading back-end database servers. Let’s take a look at some of these capabilities.

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. This speeds up accesses and updates while offloading back-end database servers. Let’s take a look at some of these capabilities.

Cache 52

Cache Storage Servers Database 52

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. Cross-region replication allows us to distribute data across the world for redundancy and speed. ” DynamoDB Triggers.

Database 159

Database Lambda AWS IoT 159

ACM Sigarch

OCTOBER 12, 2020

For example, we should care less if a proposed mobile chip or compiler optimization slows down SPEC, and care more if it speeds up Python or JavaScript! Are caches large enough for this code? There’s some work on hardware proposals for these systems, like Zhu et al., Is there room for accelerators? MICRO 15 , Gope et al.,

C++ 108

C++ Benchmarking Hardware Architecture 108

Scalegrid

DECEMBER 21, 2023

To monitor Redis® instances effectively, collect Redis metrics focusing on cache hit ratio, memory allocated, and latency threshold. Such as INFO which gives statistics about the server, LATENCY LATEST which provides latency measurements in real time and MONITOR which allows observation of the client’s transmitted command at live speed.

Strategy 130

Strategy Monitoring Latency DevOps 130

Brendan Gregg

FEBRUARY 28, 2023

## References I've reproduced the references from my SREcon22 keynote below, so you can click on links: - [Gregg 08] Brendan Gregg, “ZFS L2ARC,” [link] Jul 2008 - [Gregg 10] Brendan Gregg, “Visualizations for Performance Analysis (and More),” [link] 2010 - [Greenberg 11] Marc Greenberg, “DDR4: Double the speed, double the latency?

Performance 103

Performance Latency Cache Virtualization 103

CSS - Tricks

JULY 25, 2019

In this article, we uncover how PageSpeed calculates it’s critical speed score. It’s no secret that speed has become a crucial factor in increasing revenue and lowering abandonment rates. Now that Google uses page speed as a ranking factor, many organizations have become laser-focused on performance. Cache-Headers missing?

Google 72

Google Engineering Speed Mobile 72

Percona

JUNE 22, 2023

Query performance Query performance is a key performance indicator (KPI) in MySQL, as it measures the efficiency and speed of query execution. 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.

Performance 109

Performance Monitoring Traffic Database 109

The Morning Paper

OCTOBER 4, 2020

We are standing on the eve of the 5G era… 5G, as a monumental shift in cellular communication technology, holds tremendous potential for spurring innovations across many vertical industries, with its promised multi-Gbps speed, sub-10 ms low latency, and massive connectivity. Throughput and latency. Application performance.

Energy 130

Energy Latency Performance Network 130

Scalegrid

JUNE 14, 2024

By utilizing query folding effectively, you can ensure that Power BI sends optimized queries to MySQL, which can take advantage of the database’s indexing, caching, and processing capabilities. It involves pushing as much of the data transformation and filtering operations back to the data source (e.g.,

Database 130

Database Azure Efficiency Servers 130

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. Hardware Past As Performance Prologue. Regardless, the overall story for hardware progress remains grim, particularly when we recall how long device replacement cycles are: Tap for a larger version.

Performance 127

Performance Network Metrics Cache 127

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. GAIA proposed to expand the OS page cache into accelerator memory. ATC ’19 was refreshingly different. Heterogeneous ISA.

Architecture 12

Architecture Hardware Cache Storage 12

Scalegrid

JANUARY 5, 2024

These can be mitigated through the implementation of: efficient query optimization caching of database queries utilization of database indexes implementation of session storage employing database read replication and sharding. By implementing data abstraction techniques, these challenges can be addressed more effectively.

Efficiency 147

Efficiency Storage Database Scalability 147

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

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. Microarchitectural channels. There are also stateless interconnects including buses and on-chip networks. Threat scenarios. The five requirements of Time Protection.

Hardware 44

Hardware Cache Latency Speed 44

SQL Performance

APRIL 27, 2020

Gen 5 is the primary hardware option now for most regions since Gen 4 is aging out. Hyperscale achieves high performance from each compute node having SSD-based caches which helps minimize the network round trips to fetch data. New Hardware Configuration for Provisioned Compute Tier. GB per vCore.

Azure 55

Azure Database Serverless Hardware 55

SQL Performance

DECEMBER 17, 2019

This removes the burden of purchasing and maintaining your hardware, storage and networking infrastructure, while still giving you a very familiar experience with Windows and SQL Server itself. BTW, the "i" in the Standard_E64is_v3 naming means that the instance is isolated to hardware dedicated to a single customer.

Azure 72

Azure Virtualization Servers Storage 72

Alex Russell

JUNE 19, 2020

There's work in progress to make incremental builds possible for 11ty, but until then, the speed of a full build is the speed at which changes are visible. Eleventy is I/O heavy, and for correctness sake, it didn't do much caching. Details about build hardware, OS, and template configuration are particularly useful.

Cache 55

Cache Hardware Speed Cloud 55

HammerDB

JUNE 27, 2022

This post is targeted towards the questions most often asked by non-technical management who want to get up to speed on what HammerDB is (what it isn’t) and how it can benefit their organization. It enables the user to measure database performance and make comparative judgements about database hardware and software.

Benchmarking 63

Benchmarking Open Source C++ Cache 63

Sutter's Mill

FEBRUARY 13, 2017

” This contains updated and new material that reflects the latest C++ standards and compilers, with a focus to using modern C++11/14/17 effectively on modern hardware and memory architectures. On April 25-27, I’ll be in Stockholm (Kista) giving a three-day seminar on “High-Performance and Low-Latency C++.”

Latency 48

Latency C++ Hardware Performance 48

The Morning Paper

FEBRUARY 20, 2020

" This is very important performance-wise: unlike most traditional ML frameworks, NN engines support out-of-the-box hardware acceleration through GPUs/FPGAs/NPUs as well as code generation." This speed-up came through SQL Server automatically parallelising the scan and predict operators, as compared to the ORT sequential execution.

Processing 72

Processing Hardware Database Azure 72

Percona

MAY 1, 2023

PostgreSQL performance optimization aims to improve the efficiency of a PostgreSQL database system by adjusting configurations and implementing best practices to identify and resolve bottlenecks, improve query speed, and maximize database throughput and responsiveness.

Tuning 52

Tuning Database Efficiency Performance 52

Randon ASCII

FEBRUARY 25, 2018

In this particular investigation, which spanned twenty months, we suspected hardware failure, compiler bugs, linker bugs, and other possibilities. Jumping too quickly to blaming hardware or build tools is a classic mistake, but in this case the mistake was that we weren’t thinking big enough.

Programming 79

Programming Hardware Cache Code 79

n0derunner

DECEMBER 18, 2018

In our experiment we deliberately size the active working-set to NOT fit into the metadata cache. On the same hardware with AES enabled – the time is cut in half. Additionally AES reduces the need to cache metadata in DRAM since local access is so fast. For large datasets (e.g.

Performance 40

Performance Cache Hardware Storage 40

Abhishek Tiwari

DECEMBER 27, 2017

Apache Arrow's in-memory columnar layout is specifically optimized for data locality for better performance on modern hardware like CPUs and GPUs. In contrast, Alluxio a middleware for data access - think Alluxio storage layer as fast cache. Leveraging the recent hardware advances.

Big Data 49

Big Data Artificial Intelligence Storage Hardware 49

Speed Curve

DECEMBER 16, 2024

Page was restored from back-forward cache – The bfcache essentially stores the full page in memory when navigating away from the page. These browser profiles don't reference specific emulated hardware or a particular browser. Delivery type The delivery type of a page indicates how it was delivered to the browser.

Cache 52

Cache Google Metrics Hardware 52

SQL Performance

JULY 16, 2019

A close monitoring of the hardware enthusiast community, including many of the most respected hardware analysts and reviewers paints an even more dire picture about Intel in the server processor space. This made it easier for database professionals to make the case for a hardware upgrade, and made the typical upgrade more worthwhile.

Servers 46

Servers Hardware Architecture Retail 46

The Morning Paper

SEPTEMBER 19, 2019

Could it be Analyzing efficient stream processing on modern hardware ? On one of the themes that captures my imagination, how changing hardware platform influence system design: Rethinking database high availability with RDMA networks. Some cool algorithms: Pigeonring speeds up thresholded similarity searches. Do we want that?

Blockchain 46

Blockchain Hardware Google Speed 46

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

HammerDB

APRIL 19, 2023

GHz 4th Generation Intel Xeon Scalable processors (code-named Sapphire Rapids) Up to 20% higher compute performance than z1d instances Up to 50 Gbps of networking speed Up to 40 Gbps of bandwidth to the Amazon Elastic Block Store (EBS) We can also verify these capabilities by running some simple benchmarks on the different subsystems.

Performance 55

Performance Benchmarking Cache Storage 55

Alex Russell

OCTOBER 22, 2017

JavaScript is the single most expensive part of any page in ways that are a function of both network capacity and device speed. Add onto that the yawning chasm between low-end and high-end device performance thanks to chip design factors like cache sizes, and it can be difficult to know where to set a device baseline.

Performance 74

Performance Network Benchmarking Mobile 74

Brendan Gregg

FEBRUARY 28, 2023

References I've reproduced the references from my SREcon22 keynote below, so you can click on links: [Gregg 08] Brendan Gregg, “ZFS L2ARC,” [link] , Jul 2008 [Gregg 10] Brendan Gregg, “Visualizations for Performance Analysis (and More),” [link] , 2010 [Greenberg 11] Marc Greenberg, “DDR4: Double the speed, double the latency?

Performance 52

Performance Latency Cache Virtualization 52

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. Websites and apps that are allowed to be used in China can be accessed at a very fast speed, up to the recent 5G (20Gbps) upgrade.

Monitoring 52

Monitoring Performance Artificial Intelligence Internet 52

Abhishek Tiwari

DECEMBER 13, 2017

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. They demonstrated that neural nets based learned index outperforms cache-optimized B-Tree index by up to 70% in speed while saving an order-of-magnitude in memory.

Artificial Intelligence 40

Artificial Intelligence Hardware Google Benchmarking 40

John McCalpin

NOVEMBER 5, 2016

The core does not have enough load bandwidth to perform all of these extra load operations at full speed. E.g., on Haswell you can execute two loads per cycle of any size or alignment as long as neither crosses a cache-line boundary.

Cache 40

Cache C++ Latency Hardware 40

SQL Performance

JUNE 21, 2019

While hardware such as intelligent SANs, Solid State Disk, and other advancements have helped speed things up, wasted space in index can translate to wasted space in the buffer pool as well as wasting more I/O. If you have big physical hardware with defaults, then you should look at optimizing MAXDOP. SQL Server Agent Alerts.

Servers 49

Servers Azure Hardware Database 49

Adrian Cockcroft

SEPTEMBER 23, 2024

For a benchmark configuration of eight networked 8xH100+2xCPU vs a shared memory 64xGH200 cluster there is some speedup due to the lower overhead and higher speed of the memory interconnect, and the extra capacity of 64 Grace CPUs vs. 16 IntelCPUs. These line up much better with what Id expect from the hardware capabilities.

Benchmarking 52

Benchmarking Energy Architecture Latency 52