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

Dynatrace

APRIL 15, 2022

Organizations hit this cloud operations wall when replacing static virtual machines with dynamic container orchestration and expanding to multicloud environments. The agency executed one of the largest email migrations from on-premises Exchange servers to Microsoft Office 365 — moving almost 480,000 mailboxes to the cloud.

Cloud 177

Cloud Infrastructure Innovation Monitoring 177

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

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

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. Failure detection : Monitoring mechanisms detect failures or issues that could lead to failures.

Availability 110

Availability Database Open Source Hardware 110

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

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

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. All DBaaS management, monitoring, and maintenance tools are included in both plans, along with 24/7 support. Where to host your cloud database? Security Groups.

Cloud 242

Cloud Azure AWS Database 242

SQL Server According to Bob

DECEMBER 18, 2018

SQL Server relies on Forced-Unit-Access (Fua) I/O subsystem capabilities to provide data durability, detailed in the following documents: SQL Server 2000 I/O Basic and SQL Server I/O Basics, Chapter 2. Be sure to deploy SQL Server 2017 CU6 or newer for best data durability and performance results. “. The Back Story.

Servers 90

Servers Media Cache Storage 90

SQL Performance

JUNE 21, 2019

I've been teaching and writing about common SQL Server mistakes for many years. This article will expand on my previous article and point out how these apply to SQL Server , Azure SQL Database , and Azure SQL Managed Instance. SQL Server Agent alerts. This situation applies to on-premises SQL Server and IaaS. Statistics.

Servers 49

Servers Azure Hardware Database 49

Alex Podelko

OCTOBER 20, 2016

From one side, it makes it easier to monitor and update / rollback systems that lowers performance-related risks. The answer to this challenge is service virtualization, which allows simulating real services during testing without actual access. System’s configuration is not given anymore and often can’t be easily mapped to hardware.

Performance Testing 100

Performance Testing Architecture Testing Performance 100

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

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

Percona

SEPTEMBER 1, 2023

Sharding in MongoDB is a technique used to distribute a database horizontally across multiple nodes or servers, known as “shards.” Sharding enables horizontal scaling, where more servers or nodes are added to the cluster to handle increasing data and user demands. Learn more: View our webinar on How to Scale with MongoDB.

Best Practices 73

Best Practices Traffic Database Servers 73

Brendan Gregg

MARCH 16, 2024

It was also a virtual machine that lacked low-level hardware profiling capabilities, so I wasn't able to do cycle analysis to confirm that the 10% was entirely frame pointer-based. Back-end servers. and we may have been flying close to the edge of hardware cache warmth, where adding a bit more instructions caused a big drop.

Java 145

Java Cache Google Hardware 145

KeyCDN

JANUARY 23, 2020

These acronyms, which stand for real user monitoring and application performance monitoring, are software monitoring processes essential to measuring and evaluating applications in many different areas. What is real user monitoring (RUM)? What is application performance monitoring (APM)? Basic server metrics.

Strategy 72

Strategy Metrics Monitoring Servers 72

Percona

APRIL 17, 2023

Operating System (OS) settings Swappiness Swappiness is a Linux kernel setting that influences the behavior of the Virtual Memory manager when it needs to allocate a swap, ranging from 0-100. 20-30% is a good general default for “dirty_ratio,” but on large-memory database servers, this can be a lot of memory.

Best Practices 52

Best Practices Design Tuning Database 52

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

SQL Performance

APRIL 27, 2020

It is built as part of the platform-as-a-service environment which provides customers with additional monitoring and security for the product. Fast forward a few years after Azure SQL Database was released to when Azure SQL Managed Instance was in public preview, and "vCores" (virtual cores) were announced for Azure SQL Database.

Azure 55

Azure Database Serverless Hardware 55

HammerDB

DECEMBER 5, 2020

A full understanding of why this is important requires some knowledge of the evolution of database hardware and software. The key aspect is the presence of the TP Monitor and this is arguably the area where the most confusion arose in stating that a HammerDB TPC-C workload was not an actual TPC-C workload which should have already been clear.

C++ 40

C++ Benchmarking Virtualization Open Source 40

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. Incident identification begins with some form of monitoring or alerting mechanism. It is an unavoidable fact. Asset Management.

Social Media 90

Social Media Monitoring Latency DevOps 90

Dotcom-Montior

NOVEMBER 27, 2018

Analyzing server performance (CPU, memory, bandwidth, disk I/O) and database response times. The scripts can be uploaded into the LoadView platform and replayed by a virtually unlimited number of simultaneous users, giving you actual performance from real browsers. All resources are dedicated to this test – no shared servers.

Performance Testing 40

Performance Testing Strategy Testing Performance 40

HammerDB

NOVEMBER 22, 2021

include/server -I/opt/postgresql-14.1/include/internal By clicking on the Metrics Display option, HammerDB will connect to the target database and start monitoring the performance, note that if the pg_active_session_history table is empty the viewer will report an error and refuse to start. I/opt/postgresql-14.1/include/server

Metrics 62

Metrics Benchmarking C++ Database 62

Dotcom-Montior

JUNE 19, 2017

A series of GET requests from an in-house server can’t possibly replicate what actually happens when a website sees a sudden increase in users from all over the world. Thanks to cloud-based virtual servers, LoadView can send traffic to your site or application from around the world.

Performance Testing 40

Performance Testing Testing Performance Virtualization 40

SQL Performance

JULY 3, 2019

A recent consulting engagement was focused on blocking issues inside of SQL Server that were causing delays in processing user requests from the application. Depending on which DMV you look at for SQL Server, a session can have a few different statuses. So, we had to dig in further. Understanding Session Status.

Servers 64

Servers Hardware Code Virtualization 64

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

Testsigma

JULY 3, 2021

From the maintenance and monitoring of the machines and software to upgrading and installations — you’ll need all hands on deck. More control: While performing on-premise testing, organizations have more control over configurations, setup, hardware, and software. As the name suggests, it happens on-premise.

Cloud 57

Cloud Testing Storage DevOps 57

The Morning Paper

FEBRUARY 18, 2020

The core idea is to continuously monitor all aspects of the business, actively interpret the observations using advanced data analysis – including ML – and integrate the learnings into appropriate actions that improve business outcomes. Microsoft experimented with in-DBMBS inference by integrating the ONNX runtime in SQL Server.

Government 95

Government Software Engineering Storage Database 95

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

Adrian Cockcroft

NOVEMBER 13, 2023

The carbon footprint of a large rack mounted server is order-of-magnitude a ton of carbon a year. CPUs consume power at idle, and due to various monitoring agents, operating daemons, application background task overhead etc. Buildings, food and transport have a much bigger carbon footprint than IT globally. they are never really idle.

Energy 52

Energy Cloud Traffic Transportation 52

Smashing Magazine

JANUARY 11, 2021

This guide has been kindly supported by our friends at LogRocket , a service that combines frontend performance monitoring , session replay, and product analytics to help you build better customer experiences. Good for raising alarms and monitoring changes over time, not so good for understanding user experience. Vitaly Friedman.

Performance 145

Performance Cache Media Metrics 145

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

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

Brendan Gregg

AUGUST 8, 2017

The version of this on [ietf.org] links to a PDF scan of a hand drawn load average graph from July 1973, showing that this has been monitored for decades: source: [link]. Thankfully, I found some older linux-devel mailing list archives, rescued from server backups, often stored as tarballs of digests. to the load average.

Latency 111

Latency Metrics C++ Systems 111

O'Reilly

NOVEMBER 28, 2023

If we asked whether their companies were using databases or web servers, no doubt 100% of the respondents would have said “yes.” A year after the first web servers became available, how many companies had websites or were experimenting with building them? Until AI reaches 100%, it’s still in the process of adoption. from education.

Open Source 108

Open Source Artificial Intelligence Google Infrastructure 108

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. The high showing for API quality—i.e.,

Database 135

Database Architecture Education Systems 135