Dynatrace

NOVEMBER 3, 2022

Instead, enterprises manage individual containers on virtual machines (VMs). Serverless container offerings such as AWS Fargate enable companies to manage and modify containers while abstracting server layers to offer customization without increased complexity. In FaaS environments, providers manage all the hardware.

Serverless 217

Serverless Azure Hardware Transportation 217

Dynatrace

JANUARY 16, 2023

Findings provide insights into Kubernetes practitioners’ infrastructure preferences and how they use advanced Kubernetes platform technologies. Kubernetes infrastructure models differ between cloud and on-premises. Accordingly, the remaining 27% of clusters are self-managed by the customer on cloud virtual machines.

Open Source 342

Open Source Java Operating System Programming 342

The Morning Paper

MARCH 1, 2020

Firecracker is the virtual machine monitor (VMM) that powers AWS Lambda and AWS Fargate, and has been used in production at AWS since 2018. The traditional view is that there is a choice between virtualization with strong security and high overhead, and container technologies with weaker security and minimal overhead.

Serverless 101

Serverless Virtualization Lambda AWS 101

Dynatrace

JANUARY 26, 2021

Traditional computing models rely on virtual or physical machines, where each instance includes a complete operating system, CPU cycles, and memory. VMware commercialized the idea of virtual machines, and cloud providers embraced the same concept with services like Amazon EC2, Google Compute, and Azure virtual machines.

Serverless 243

Serverless Efficiency Lambda Azure 243

Dynatrace

AUGUST 11, 2022

Cloud providers then manage physical hardware, virtual machines, and web server software management. This enables teams to quickly develop and test key functions without the headaches typically associated with in-house infrastructure management. The FaaS model of cloud computing debuted in 2014 with startups like hook.io.

Development 250

Development Serverless Best Practices Lambda 250

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

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. Some disruption might occur, but it will be minimal. Fault tolerance aims for zero downtime and data loss.

Availability 107

Availability Database Open Source Hardware 107

Dynatrace

APRIL 15, 2022

As organizations expand their cloud footprints, they are combining public, private, and on-premises infrastructures. But modern cloud infrastructure is large, complex, and dynamic — and over time, this cloud complexity can impede innovation. “We used Dynatrace to monitor that large increase in servers. Dynatrace news.

Cloud 176

Cloud Infrastructure Innovation Monitoring 176

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. Another benefit is cost savings associated with server and data center setup and maintenance.

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 78

Availability Hardware Open Source Database 78

Scalegrid

APRIL 16, 2020

Are you comfortable setting up your own cloud infrastructure through AWS or Azure? 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. Do you want to deploy in an AWS VPC or Azure VNET? Expert Tip.

Cloud 242

Cloud Azure AWS Database 242

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 95

Architecture Availability Open Source Healthcare 95

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 83

Availability Open Source Architecture Database 83

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

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

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 71

Best Practices Traffic Database Servers 71

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

All Things Distributed

MARCH 11, 2016

This is a given, whether you are using the highest quality hardware or lowest cost components. When customers left the constraining, old world of IT hardware and datacenters behind, they started to develop systems with new and interesting usage patterns that no one had ever seen before. Primitives not frameworks. APIs are forever.

AWS 144

AWS Hardware Retail Virtualization 144

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

Testsigma

FEBRUARY 5, 2021

Device Infrastructure. Once you have chosen your target devices, consider the architectural aspect of your hardware. You need strong and reliable servers to manage mobile devices and execute test scripts. In the case of weak Wi-Fi points, you would struggle with timeouts or slow server responses. Automated Testing.

Mobile 52

Mobile Testing Hardware DevOps 52

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., The primary challenge being not able to access the underlying infrastructure metrics. Scalability.

Serverless 57

Serverless Monitoring Lambda Latency 57

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. Application performance monitoring is used in a variety of ways, including: Infrastructure planning. Basic server metrics.

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. The security and data storage infrastructure has to meet certain security compliances and standards; only then, the infrastructure is good to go for testing. Picture Source: StatCounter.

Cloud 57

Cloud Testing Storage DevOps 57

All Things Distributed

JANUARY 23, 2012

We have been working closely with our customers on their requests to bring the power of the Amazon Web Services cloud closer to their existing on-premises compute infrastructures. The Amazon Virtual Private Cloud extends on-premises compute with all the power of AWS, making it elastic, scalable and highly reliable.

Storage 115

Storage AWS Virtualization Cloud 115

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. Held back by budget and infrastructure restrictions, some organizations have been forced to settle for load tests that paint an incomplete picture. Conclusion.

Performance Testing 40

Performance Testing Testing Performance Virtualization 40

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

Dotcom-Montior

NOVEMBER 27, 2018

It helps assess how a site, web application, or API will respond to various traffic, without adding any additional infrastructure. Analyzing server performance (CPU, memory, bandwidth, disk I/O) and database response times. All resources are dedicated to this test – no shared servers. Identifying performance bottlenecks.

Performance Testing 40

Performance Testing Strategy Testing Performance 40

The Morning Paper

FEBRUARY 18, 2020

Here are the three big directional bets that align with the three main areas cited by the authors: We will train in the cloud , where its possible to take advantage of managed infrastructure well suited to large amounts of data, spiky resource usage, and access to the latest hardware. What do these notebooks use instead?

Government 95

Government Software Engineering Storage Database 95

Dotcom-Montior

DECEMBER 8, 2021

Systems, web applications, servers, devices, etc., ITSM is one of the practices of the Information Technology Infrastructure Library, or ITIL. You cannot virtualize everything…yet. Software services still require physical devices and hardware for them to function. It is an unavoidable fact. Asset Management.

Social Media 90

Social Media Monitoring Latency DevOps 90

Dynatrace

AUGUST 5, 2019

For our migration projects, we simply roll out Dynatrace OneAgents on the existing infrastructure. 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. For that, it is sufficient to only know host-2-host dependencies.

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

All Things Distributed

JANUARY 18, 2012

Behind the scenes, Amazon DynamoDB automatically spreads the data and traffic for a table over a sufficient number of servers to meet the request capacity specified by the customer. These services also require the ability to scale infrastructure incrementally to accommodate growth in request rates or dataset sizes.

Scalability 167

Scalability Database Ecommerce Latency 167

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

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? of users) report that “infrastructure issues” are an issue. Which Model?

Open Source 108

Open Source Artificial Intelligence Google Infrastructure 108