Dynatrace

AUGUST 11, 2022

Before an organization moves to function as a service, it’s important to understand how it works, its benefits and challenges, its effect on scalability, and why cloud-native observability is essential for attaining peak performance. Cloud providers then manage physical hardware, virtual machines, and web server software management.

Development 247

Development Serverless Best Practices Lambda 247

Dynatrace

JANUARY 16, 2023

Accordingly, the remaining 27% of clusters are self-managed by the customer on cloud virtual machines. Through effortless provisioning, a larger number of small hosts provide a cost-effective and scalable platform. Java Virtual Machine (JVM)-based languages are predominant. Most organizations, 72%, use Java to some degree.

Open Source 340

Open Source Java Operating System Programming 340

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. Load balancers can detect when a component is not responding and put traffic redirection in motion.

Availability 110

Availability Database Open Source Hardware 110

KeyCDN

FEBRUARY 22, 2023

Chatbots and virtual assistants Chatbots and virtual assistants are becoming more common on websites and web applications as they provide an efficient and convenient way for users to interact with a business. Cloud-based development and deployment One of the main advantages of cloud-based development and deployment is scalability.

Artificial Intelligence 111

Artificial Intelligence Development Serverless Website 111

Percona

AUGUST 22, 2023

Some of the most important elements include: No single point of failure (SPOF): You must eliminate any SPOF in the database environment, including any potential for an SPOF in physical or virtual hardware. Load balancing: Traffic is distributed across multiple servers to prevent any one component from becoming overloaded.

Availability 80

Availability Hardware Open Source Database 80

Percona

JUNE 12, 2023

The immediate (working) goal and requirements of HA architecture The more immediate (and “working” goal) of an HA architecture is to bring together a combination of extensions, tools, hardware, software, etc., Load balancing : Traffic is distributed across multiple servers to prevent any one component from becoming overloaded.

Architecture 99

Architecture Availability Open Source Healthcare 99

SQL Performance

AUGUST 27, 2019

On August 7, 2019, AMD finally unveiled their new 7nm EPYC 7002 Series of server processors, formerly code-named "Rome" at the AMD EPYC Horizon Event in San Francisco. This is the second generation EPYC server processor that uses the same Zen 2 architecture as the AMD Ryzen 3000 Series desktop processors.

Servers 52

Servers Benchmarking Virtualization Architecture 52

Percona

SEPTEMBER 1, 2023

Scalability is a significant concern, as databases must handle growing data volumes and user demands while maintaining peak performance. Sharding in MongoDB is a technique used to distribute a database horizontally across multiple nodes or servers, known as “shards.” What is sharding in MongoDB?

Best Practices 73

Best Practices Traffic Database Servers 73

Percona

JULY 7, 2023

HA in PostgreSQL databases delivers virtually continuous availability, fault tolerance, and disaster recovery. In general terms, to achieve HA in PostgreSQL, there must be: Redundancy: To ensure data redundancy and provide continuous performance when a primary server fails, multiple copies of the database reside in replica servers.

Availability 85

Availability Open Source Architecture Database 85

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. What is HammerDB? Why HammerDB was developed.

Benchmarking 62

Benchmarking Open Source C++ Cache 62

All Things Distributed

JANUARY 18, 2012

Werner Vogels weblog on building scalable and robust distributed systems. a Fast and Scalable NoSQL Database Service Designed for Internet Scale Applications. The original Dynamo design was based on a core set of strong distributed systems principles resulting in an ultra-scalable and highly reliable database system.

Scalability 167

Scalability Database Ecommerce Latency 167

All Things Distributed

MARCH 11, 2016

Looking back over the past 10 years, there are hundreds of lessons that we’ve learned about building and operating services that need to be secure, reliable, scalable, with predictable performance at the lowest possible cost. This is a given, whether you are using the highest quality hardware or lowest cost components.

AWS 144

AWS Hardware Retail Virtualization 144

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. Historically MySQL has been positioned for supporting web-based applications this is in contrast to enterprise based database workloads that have been served by commercial databases such as Oracle, Db2 and SQL Server.

Best Practices 40

Best Practices Scalability Performance C++ 40

ACM Sigarch

MAY 31, 2023

Memory disaggregation separates memory pools from traditional server boxes, enabling more flexible resource allocation and potentially reducing costs. There are three common mechanisms to access remote memory: modifying applications, modifying virtual memory, and hardware-level cache coherence support. Using emulation (e.g.

Latency 52

Latency Hardware Cache Architecture 52

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? These systems can include physical servers, containers, virtual machines, or even a device, or node, that connects and communicates with the network. Do you have a database?

Systems 74

Systems Monitoring Hardware Network 74

HammerDB

FEBRUARY 25, 2021

However, it is crucial that the benchmarking application does not have inherent bottlenecks that artificially limits the scalability of the database. To benchmark a database we introduce the concept of a Virtual User. The following is an example from TPROC-C from SQL Server. Basic Benchmarking Concepts. select top 100.

Programming 67

Programming Benchmarking Virtualization C++ 67

Percona

AUGUST 15, 2023

In this blog post, I provide an in-depth introduction to MySQL Replication, answering what it is, how it works , its benefits and challenges, as well as reviewing some of the MySQL replication concepts that are part of the MySQL environment (and Percona Server for MySQL specifically). Set the server-id to a unique value.

Servers 52

Servers Database Availability Traffic 52

HammerDB

APRIL 19, 2023

Regardless of whether the computing platform to be evaluated is on-prem, containerized, virtualized, or in the cloud, it is crucial to consider several essential factors. For the network, we can use Iperf to assess the network bandwidth between the client and the database server to ensure it will be enough to meet our peak requirement.

Performance 54

Performance Benchmarking Cache Storage 54

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

KeyCDN

JANUARY 23, 2020

A wide range of users with different operating systems, browsers, hardware configurations and other variables provides a wide sample size that helps developers discover as many issues as possible. This helps developers decide when to increase server disk space and power or whether or not using a virtual cloud server is optimal.

Strategy 72

Strategy Metrics Monitoring Servers 72

Testsigma

JULY 3, 2021

More control: While performing on-premise testing, organizations have more control over configurations, setup, hardware, and software. For certain situations that don’t require scalability, on-premise testing can be cost-effective. . And you know it — maintaining a horde of tools, systems, servers, and software is no joke!

Cloud 57

Cloud Testing Storage DevOps 57

Particular Software

MARCH 11, 2019

That's because to guarantee message ordering is technically very difficult and, even if successful, always comes with tradeoffs like lower message throughput and less scalability that hamper the system's ability to be successful. Unfortunately it makes ordered delivery virtually impossible to support.

Virtualization 69

Virtualization Scalability Servers Processing 69

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., Scalability. It’s likely you’ve already come across this term somewhere, but what exactly does it mean?

Serverless 57

Serverless Monitoring Lambda Latency 57

HammerDB

DECEMBER 5, 2020

A full understanding of why this is important requires some knowledge of the evolution of database hardware and software. Instead all of the client servers are connecting to the TP monitor. So why derive a workload from TPC-C or TPC-H at all and instead just rely on vendor published and fully audited results?

C++ 40

C++ Benchmarking Virtualization Open Source 40

All Things Distributed

JANUARY 23, 2012

Werner Vogels weblog on building scalable and robust distributed systems. The Amazon Virtual Private Cloud extends on-premises compute with all the power of AWS, making it elastic, scalable and highly reliable. All Things Distributed. Expanding the Cloud - The AWS Storage Gateway. By Werner Vogels on 23 January 2012 12:01 AM.

Storage 115

Storage AWS Virtualization Cloud 115

HammerDB

JANUARY 5, 2019

Scalability. As the chart shows because we know that both HammerDB and the implementation of the TPC-C workload scales then we can determine that with this particular database engine both the software and hardware scales as well. That is why we run a workload designed exactly for this purpose as it gives us a “benchmark” 2.

Benchmarking 40

Benchmarking Database Social Media Scalability 40

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

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., You cannot virtualize everything…yet. Software services still require physical devices and hardware for them to function. In the world of a site reliability engineer (SRE) , failure is not only an option, but also expected. It is an unavoidable fact. Asset Management.

Social Media 90

Social Media Monitoring Latency DevOps 90

SQL Server According to Bob

NOVEMBER 29, 2016

Back in June, Bob Dorr gave you the thinking behind why SQL Server 2016 It Just Runs Faster due to changes in our SQL Server and NUMA configurations. Bob blogged about a new SQL Server 2016 feature called Auto Soft NUMA. 144 total logical processors as exposed by the Windows OS and seen by SQL Server.

Servers 45

Servers Virtualization Scalability Hardware 45

O'Reilly

JULY 15, 2020

Combined, technology verticals—software, computers/hardware, and telecommunications—account for about 35% of the audience (Figure 2). So it just makes sense to instantiate microservices at the level of the virtual machine (VM), as distinct to that of the container. Figure 2: Respondent industries.

Database 135

Database Architecture Education Systems 135

Dynatrace

AUGUST 5, 2019

Lift & Shift is where you basically just move physical or virtual hosts to the cloud – essentially you just run your host on somebody else’s hardware. The following shows one of the slides I use to answer the question: What happens if I move this group of servers? Where to invest in data compression?

Cloud 31

Cloud Traffic Database Network 31

Smashing Magazine

JANUARY 11, 2021

In the end, it’s not the load events or server response times that define the experience, but the perception of how snappy the interface feels. It used to provide an insight into how quickly the server outputs any data. This knowledge will give you the best optimization target for ongoing efforts. What does it mean?

Performance 145

Performance Cache Media Metrics 145