Percona

SEPTEMBER 1, 2023

This results in expedited query execution, reduced resource utilization, and more efficient exploitation of the available hardware resources. This reduction in latency ensures that applications and websites provide a more rapid and responsive user experience. Indexing is another powerful technique for query optimization.

Tuning 52

Tuning Database Performance Hardware 52

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. First off there still is a model of course (but then there are servers hiding behind a serverless abstraction too!). autoscaling).

Hardware 58

Hardware Latency Serverless Energy 58

HammerDB

OCTOBER 23, 2023

HammerDB has always used stored procedures as a design decision because the original benchmark was implemented as close as possible to the example workload in the TPC-C specification that uses stored procedures. As an example from the TPC-C specification, this is the Stock Level procedure. On MySQL, we saw a 1.5X performance advantage.

Benchmarking 62

Benchmarking Database Network C++ 62

Dotcom-Montior

NOVEMBER 11, 2020

Well, to start, serverless, or serverless computing , doesn’t really mean there aren’t servers involved, because there are, rather it refers to the fact that the responsibility of having to manage, scale, provision, maintain, etc., Applications that are running continuously on a dedicated server aren’t as impacted by latency issues.

Serverless 57

Serverless Monitoring Lambda Latency 57

Scalegrid

APRIL 16, 2020

This is why our BYOC pricing is less than our Dedicated Hosting pricing, as the costs listed for BYOC are only what you pay for ScaleGrid and don’t include your hardware costs. Let’s walk through an example: Database: MySQL. Deploying your application and database on the same VPC also provides the lowest possible latency path.

Cloud 242

Cloud Azure AWS Database 242

The Morning Paper

MAY 14, 2019

Last time around we looked at the DeathStarBench suite of microservices-based benchmark applications and learned that microservices systems can be especially latency sensitive, and that hotspots can propagate through a microservices architecture in interesting ways. on end-to-end latency) and less than 0.15% on throughput.

Big Data 45

Big Data Cloud Performance Hardware 45

cdemi

FEBRUARY 20, 2017

Let's talk about the elephant in the room; Serverless doesn't really mean that there are no Software or Hardware servers. It just means that from Software Development perspective, servers are abstracted and outsourced to another entity, so you don't need to worry about it. Advantages and Disadvantages of Serverless. Advantages.

Serverless 64

Serverless Architecture Lambda Azure 64

Abhishek Tiwari

JULY 12, 2018

These nodes and edges require a good amount of compute and storage which is typically distributed across a large number servers either running in the cloud or your own data center. A data pipeline is a software which runs on hardware. The software is error-prone and hardware failures are inevitable.

Latency 63

Latency Analytics Scalability Engineering 63

Dotcom-Montior

DECEMBER 8, 2021

Systems, web applications, servers, devices, etc., Software services still require physical devices and hardware for them to function. Knowing when and where an error, downtime, or application latency occurs is a critical factor in limiting the impact to users and customers. It is an unavoidable fact. Asset Management.

Social Media 90

Social Media Monitoring Latency DevOps 90

Scalegrid

DECEMBER 21, 2023

Identifying key Redis® metrics such as latency, CPU usage, and memory metrics is crucial for effective Redis monitoring. To monitor Redis® instances effectively, collect Redis metrics focusing on cache hit ratio, memory allocated, and latency threshold.

Strategy 130

Strategy Monitoring Latency DevOps 130

HammerDB

DECEMBER 5, 2020

For example HammerDB has not used tpmC terminology to report TPC-C based metrics instead using TPM and NOPM nomenclature. A full understanding of why this is important requires some knowledge of the evolution of database hardware and software. This was both expensive and time consuming to configure.

C++ 40

C++ Benchmarking Virtualization Open Source 40

All Things Distributed

JANUARY 23, 2012

VM Import allows our customers to move virtual machine images from their datacenters to the Cloud and Amazon Direct Connect makes the network latencies and bandwidth between on-premises and AWS more predictable. Here are three example use cases that we envision for the AWS Storage Gateway. s highly reliable storage environment.

Storage 115

Storage AWS Virtualization Cloud 115

Scalegrid

FEBRUARY 8, 2024

A distributed storage system is foundational in today’s data-driven landscape, ensuring data spread over multiple servers is reliable, accessible, and manageable. These storage nodes collaborate to manage and disseminate the data across numerous servers spanning multiple data centers.

Storage 130

Storage Systems Big Data Azure 130

All Things Distributed

JULY 13, 2010

Further computationally intensive, highly parallel workloads have found their way to Amazon EC2 as businesses have explored using HPC types of algorithms for other application categories, for example to to process very large unstructured data sets for Business Intelligence applications. No Server Required - Jekyll & Amazon S3.

Cloud 118

Cloud AWS Automotive Latency 118

Dynatrace

JUNE 25, 2020

For example, in a three-node cluster, one node can go down; in a cluster with five or more nodes, two nodes can go down. The network latency between cluster nodes should be around 10 ms or less. Our Premium High Availability comes with the following features: Active-active deployment model for optimum hardware utilization.

Availability 247

Availability Hardware Latency Traffic 247

KeyCDN

AUGUST 15, 2019

Bottlenecks can occur, for example, if you have a sudden surge in traffic that your servers are not equipped to handle. For example, you can use load testing tools to see how your application performs with a certain number of simultaneous users. An interruption in data flow due to limited capacity is called a bottleneck.

Testing Tools 55

Testing Tools Best Practices Performance Testing Testing 55

O'Reilly

JANUARY 16, 2024

For a concrete example of what such a personalized podcast felt like, I started one conversation by straight-up asking ChatGPT to keep me awake while I was driving in Southern California from Los Angeles to San Diego. software” rather than “hardware” in our brains).

Entertainment 74

Entertainment Internet Internet Design 74

Dynatrace

JANUARY 26, 2021

This allows teams to sidestep much of the cost and time associated with managing hardware, platforms, and operating systems on-premises, while also gaining the flexibility to scale rapidly and efficiently. AWS Lambda functions are an example of how a serverless framework works: Developers write a function in a supported language or platform.

Serverless 244

Serverless Efficiency Lambda Azure 244

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. Some servers may need a few GBs of RAM, while others may need hundreds of GBs or even terabytes of RAM. Benchmark before you decide.

Performance 124

Performance Hardware Tuning Storage 124

Tim Kadlec

SEPTEMBER 25, 2014

Daniel shared a few examples in his deck , but I couldn’t wait to take Daniel’s tool and fire it up on a bunch of random browsers and devices that I have sitting around. Another interesting note was how significant the impact of hardware has on the timing. The result was a 10x reduction in startup latency. That’s a bug.

Latency 41

Latency Google Hardware Servers 41

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.

Open Source 61

Open Source Hardware Benchmarking Systems 61

SQL Server According to Bob

JANUARY 11, 2020

Microsoft SQL Server I/O Basics Author: ​​ Bob Dorr, Microsoft SQL Server Escalation Published: ​​ December, 2004 SUMMARY: ​​ Learn the I/O requirements for Microsoft SQL Server database file operations. This will help you increase system performance and avoid I/O environment errors.

Servers 40

Servers Cache Media Hardware 40

SQL Server According to Bob

JANUARY 11, 2020

Microsoft, ​​ Windows, ​​ Windows NT, ​​ and Windows Server ​​ are registered trademarks of Microsoft Corporation in the United States and/or other countries. The names of actual companies and products mentioned herein may be the trademarks of their respective owners.

Servers 40

Servers Cache Database Media 40

Dotcom-Montior

NOVEMBER 24, 2021

Do you have a web server? Is the web server running? The last item to check was if the web server was able to talk to the database? The last item to check was if the web server was able to talk to the database? Ok, so maybe that is an oversimplified example, but you get the point. Do you have a database?

Systems 74

Systems Monitoring Hardware Network 74

Dotcom-Montior

MAY 12, 2020

Early web applications involved less on client-side behavior and more server-side for all its navigation, query handling, and updates. 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. Connection closed by the server.

Monitoring 63

Monitoring Entertainment Hardware Latency 63

Smashing Magazine

AUGUST 22, 2021

Because we are dealing with network protocols here, we will mainly look at network aspects, of which two are most important: latency and bandwidth. Latency can be roughly defined as the time it takes to send a packet from point A (say, the client) to point B (the server). Two-way latency is often called round-trip time (RTT).

Performance 106

Performance Network Latency Servers 106

All Things Distributed

MARCH 11, 2016

This is a given, whether you are using the highest quality hardware or lowest cost components. This becomes an even more important lesson at scale: for example, as S3 processes trillions and trillions of storage transactions, anything that has even the slightest probability of error will become realistic. Primitives not frameworks.

AWS 144

AWS Hardware Retail Virtualization 144

The Netflix TechBlog

FEBRUARY 9, 2021

Server-generated assets, since client-side generation would require the retrieval of many individual images, which would increase latency and time-to-render. To reduce latency, assets should be generated in an offline fashion and not in real time. Localized images for each of the titles. We call these adaptive fields.

Engineering 165

Engineering Storage Latency Entertainment 165

The Morning Paper

MAY 19, 2019

Last week we learned about the [increased tail-latency sensitivity of microservices based applications with high RPC fan-outs. Seer uses estimates of queue depths to mitigate latency spikes on the order of 10-100ms, in conjunction with a cluster manager. So what we have here is a glimpse of the limits for low-latency RPCs under load.

Latency 80

Latency Hardware Network Architecture 80

The Morning Paper

JANUARY 28, 2020

Shredder is " a low-latency multi-tenant cloud store that allows small units of computation to be performed directly within storage nodes. " Entry/exit in/out of V8 contexts is less expensive than hardware-based isolation mechanisms, keeping request processing latency low and throughput high.

Serverless 99

Serverless Storage Latency Cloud 99

Percona

APRIL 17, 2023

It is common to see a value of “ 0″ ( or sometimes “10” ) on database servers, telling the kernel to prefer to swap to memory for better response times. The CFQ works well for many general use cases but lacks latency guarantees. 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

Percona

NOVEMBER 9, 2023

Your workloads, encapsulated in containers, can be deployed freely across different clouds or your own hardware. Here are a few examples of actual Kubernetes use cases across various industries: E-commerce : Traffic to e-commerce platforms varies, particularly during sales, promotions, and holidays. have adopted Kubernetes.

Efficiency 102

Efficiency Cloud Healthcare Open Source 102

The Morning Paper

JULY 4, 2019

degraded hardware, transient networking problem) or, more often, because of some change deployed by Netflix engineers that did not have the intended effect. Two failure modes we focus on are a service becoming slower (increase in response latency) or a service failing outright (returning errors).

Latency 77

Latency Engineering Metrics Traffic 77

Brendan Gregg

AUGUST 8, 2017

For example, an hourly load average of 10 would mean that (for a single CPU system) at any time during that hour one could expect to see 1 process running and 9 others ready to run (i.e., Thankfully, I found some older linux-devel mailing list archives, rescued from server backups, often stored as tarballs of digests. They aren't idle.

Latency 111

Latency Metrics C++ Systems 111

HammerDB

OCTOBER 8, 2018

As an Intel employee (#IAMINTEL) the examples are taken from a PostgreSQL on Linux on Intel system, the approach is the same for whatever system you are testing although some of the settings you see may be different. CPUs which run at the same hardware frequency: 0. maximum transition latency: Cannot determine or is not supported.

Best Practices 40

Best Practices Scalability Performance Hardware 40

Percona

JULY 1, 2023

Understanding DBaaS DBaaS cloud services allow users to use databases without configuring physical hardware and infrastructure or installing software. For example, one Percona client, Madwire, engaged Percona to provide recommendations on the best way to achieve faster response times from their SQL-based reports.

AWS 52

AWS Database Serverless Storage 52

Highly Scalable

SEPTEMBER 18, 2012

Historically, NoSQL paid a lot of attention to tradeoffs between consistency, fault-tolerance and performance to serve geographically distributed systems, low-latency or highly available applications. A database should accommodate itself to different data distributions, cluster topologies and hardware configurations. Data Placement.

Database 213

Database Latency C++ Scalability 213