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. Variations within these storage systems are called distributed file systems.

Storage 130

Storage Systems Big Data Azure 130

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.). This technique saves two instructions in the prologue and epilogue and makes one additional general-purpose register (%rbp) available."

Java 145

Java Cache Google Hardware 145

The Netflix TechBlog

NOVEMBER 15, 2022

Rendering is the final step in the VFX creation process, and processing on a render farm often can take several hours to complete just a single frame of a show, even when this process runs on the latest high-end hardware. via direct plug-ins, and is available on multi-cloud platform services.

Cloud 282

Cloud Entertainment AWS Infrastructure 282

Percona

MARCH 27, 2023

A lot of useful information can be retrieved from this schema, for example, table metadata and foreign key relations, but trying to query I_S can induce performance degradation if your server is under heavy load, as shown in the following example test.

Cache 98

Cache Hardware Servers Benchmarking 98

Percona

MARCH 28, 2023

” This acts as a step to ensure durability by recovering lost data from the same journal files in case of crashes, power, and hardware failures between the checkpoints (see below) Here’s what the process looks like. 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

Scalegrid

DECEMBER 21, 2023

To achieve optimal tracking results it is important to choose wisely among available tools like Prometheus or Grafana, which offer deeper insights into understanding your Redis® instances for better performance optimization. Examples include slow command execution time which leads to poor latency and increased memory usage.

Strategy 130

Strategy Monitoring Latency DevOps 130

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. By caching hot datasets, indexes, and ongoing changes, InnoDB can provide faster response times and utilize disk IO in a much more optimal way.

Performance 123

Performance Hardware Tuning Storage 123

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

Dynatrace

AUGUST 30, 2019

Reducing CPU Utilization to now only consume 15% of initially provisioned hardware. We have several YouTube Tutorials and blog posts available that show how you can use Dynatrace RUM data for Web Performance & User Experience Optimization. Missing caching layers, e.g. provide a read-only cache for static data.

Cache 201

Cache Architecture Database Government 201

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., It’s a pretty impressive effort to pull together and make available in open source (not yet available as I write this) such a suite, and I’m sure explains much of the long list of 24 authors on this paper.

Open Source 61

Open Source Hardware Benchmarking Systems 61

Percona

JUNE 22, 2023

Let’s dive in and learn how (and what) to effectively monitor MySQL performance, along with examples from PMM, by understanding the critical KPIs to watch for. 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 102

Performance Monitoring Traffic Database 102

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

Scalegrid

APRIL 16, 2020

Each of these models is suitable for production deployments and high traffic applications, and are available for all of our supported databases, including MySQL , PostgreSQL , Redis™ and MongoDB® database ( Greenplum® database coming soon). Let’s walk through an example: Database: MySQL. Where to host your cloud database?

Cloud 242

Cloud Azure AWS Database 242

HammerDB

JUNE 27, 2022

It enables the user to measure database performance and make comparative judgements about database hardware and software. These factors meant that often when looking for database performance information, the results for a particular combination of software and hardware were not available. Cached vs Scaled Workloads.

Benchmarking 62

Benchmarking Open Source C++ Cache 62

CSS Wizardry

AUGUST 7, 2019

only to find that the resource they’re requesting isn’t in that PoP ’s cache. For example, request collapsing , edge-side includes , etc.). This is exactly what we did at BBC iPlayer last year: The newly-available Server-Timing header can be added to any response. Routing: If you are using a CDN—and you should be!—a

Latency 269

Latency Ecommerce Servers Mobile 269

Scalegrid

JANUARY 5, 2024

Here are some examples: In the e-commerce sector, websites such as Amazon and Flipkart employ DBMS to oversee extensive customer databases, monitor sales orders, track returns, and manage faulty products. Practical Applications of DBMS DBMS finds practical applications in various fields.

Efficiency 147

Efficiency Storage Database Scalability 147

ACM Sigarch

OCTOBER 12, 2020

Programmers continue to write applications in them, and they continue to evolve: the just approved C++20 standard is the latest example. Par t of the appeal of Python is that there is a vast array of libraries available for it; when these are written in C, they can go a long way to alleviating Python’s performance problems.

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. For example, high energy particles tend to produce transient faults, whereas defects can cause intermittent or permanent faults. An example protection technique that can provide this capability is an Error Correcting Code (ECC).

Energy 52

Energy Hardware Best Practices Architecture 52

The Morning Paper

JUNE 25, 2019

Far memory brings many potential benefits over near memory: higher memory capacity through disaggregation, separate scaling between processing and far memory, better availability due to separate fault domains for far memory, and better shareability among processors. Clients cache the entire tree, but not the hash tables.

Design 80

Design Cache Hardware Scalability 80

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

Smashing Magazine

JANUARY 11, 2021

Build Optimizations JavaScript modules, module/nomodule pattern, tree-shaking, code-splitting, scope-hoisting, Webpack, differential serving, web worker, WebAssembly, JavaScript bundles, React, SPA, partial hydration, import on interaction, 3rd-parties, cache. Adjust the argument depending on the group of stakeholders you are speaking to.

Performance 145

Performance Cache Media Metrics 145

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

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

The Morning Paper

MARCH 17, 2020

One thing they all had in common is an evaluation using some kind of simulation of the expected behaviour of NVDIMMs, because the real thing wasn’t yet available. The Optane DIMM is the first scalable, commercially available NVDIMM. Use non-temporal stores for large transfers, and control cache evictions. But now it is!

Scalability 59

Scalability Latency Cache Media 59

Alex Russell

APRIL 29, 2021

This post mines publicly available data on the pace of compatibility fixes and feature additions to assess the claim. The information it captures is, however, available going back somewhat further, providing a fuller picture of the trend lines of engine completeness. Count of APIs available from JavaScript by Web Confluence.

Media 145

Media Games Education Engineering 145

Percona

APRIL 17, 2023

Note that the intent of tuning the settings is not exclusively about improving performance but also enhancing the high availability and resilience of the MongoDB database. There is an issue with this, which causes the OS to swap even with memory available. For example, on a 128GB memory host, this can allow up to 38.4GB of dirty pages.

Best Practices 52

Best Practices Design Tuning Database 52

John McCalpin

AUGUST 1, 2018

According to Dr. Bandwidth, performance analysis has two recurring themes: How fast should this code (or “simple” variations on this code) run on this hardware? The user environment defines the mapping of MPI ranks to hardware resources (cores, sockets, nodes). The source code to the library may not be available.

Hardware 40

Hardware Transportation Performance Latency 40

Brendan Gregg

AUGUST 18, 2019

For example, iostat(1), or a monitoring agent, may tell you your average disk latency, but not the distribution of this latency. This example instrumented one of many thousands of available events. Now a real example: # bpftrace -e 'kretprobe:sys_read /pid == 181/ { @bytes = hist(retval); }'. There's no filter.

Latency 68

Latency C++ Cache Programming 68

Smashing Magazine

JANUARY 6, 2020

Run performance experiments and measure outcomes — both on mobile and on desktop (for example, with Google Analytics ). Rather than focusing on full page loading time (via onLoad and DOMContentLoaded timings, for example), prioritize page loading as perceived by your customers. What does it mean?

Performance 145

Performance Cache Network Metrics 145

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. At launch, an item’s change record is available in the stream for 24 hours after it is created.

Database 167

Database Lambda AWS IoT 167

SQL Server According to Bob

DECEMBER 18, 2018

For example, if a flight booking reports that a seat has successfully been booked, then the seat will remain booked even if the system crashes.” – [link]. Device level flushing may have an impact on your I/O caching, read ahead or other behaviors of the storage system. Linux open command flag used to bypass file system cache.

Servers 90

Servers Media Cache Storage 90

Smashing Magazine

JANUARY 7, 2019

One way or another, rather than focusing on full page loading time (via onLoad and DOMContentLoaded timings, for example), prioritize page loading as perceived by your customers. On the other hand, we have hardware constraints on memory and CPU due to JavaScript parsing times (we’ll talk about them in detail later).

Performance 104

Performance Cache Network Metrics 104

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

ScaleOut Software

JULY 27, 2018

Hosted on commodity clusters or cloud infrastructures, IMDGs harness the power of distributed computing to deliver scalable storage capacity and access throughput, along with integrated high availability. Looking beyond distributed caching, it’s their ability to perform data-parallel analysis that gives IMDGs such exciting capabilities.

Scalability 40

Scalability Cache Airlines Healthcare 40

ScaleOut Software

JULY 27, 2018

Hosted on commodity clusters or cloud infrastructures, IMDGs harness the power of distributed computing to deliver scalable storage capacity and access throughput, along with integrated high availability. Looking beyond distributed caching, it’s their ability to perform data-parallel analysis that gives IMDGs such exciting capabilities.

Scalability 40

Scalability Cache Airlines Healthcare 40

The Morning Paper

MAY 14, 2019

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. E.g., in memcached there are five main internal stages, each of which has a hardware or software queue associated with it.

Big Data 45

Big Data Cloud Performance Hardware 45

ACM Sigarch

FEBRUARY 23, 2018

In his book “ Misbehaving: The Making of Behavioral Economics ”, he cites example after example of how human behavior does not follow economic expectations based on rational behavior, resulting in flawed economic models . We believed existing hardware and OS protocols protected the processor. Present Bias.

Architecture 47

Architecture Cache Hardware Virtualization 47