Dynatrace

DECEMBER 15, 2022

As more organizations adopt cloud-native technologies, traditional approaches to IT operations have been evolving. Complex cloud computing environments are increasingly replacing traditional data centers. The importance of ITOps cannot be overstated, especially as organizations adopt more cloud-native technologies.

Artificial Intelligence 203

Artificial Intelligence DevOps Hardware Virtualization 203

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. VA’s journey into the cloud.

Cloud 177

Cloud Infrastructure Innovation Monitoring 177

Scalegrid

APRIL 16, 2020

Where you decide to host your cloud databases is a huge decision. You have to choose your hosting model, a cloud provider, and then your primary and standby regions to deploy to. What is ScaleGrid’s Bring Your Own Cloud Plan? Here are the databases and cloud providers supported through each model: Supported Databases.

Cloud 242

Cloud Azure AWS Database 242

Dynatrace

JANUARY 16, 2023

Modern, cloud-native computing is impossible to separate from containers and Kubernetes adoption. Findings provide insights into Kubernetes practitioners’ infrastructure preferences and how they use advanced Kubernetes platform technologies. Kubernetes moved to the cloud in 2022. Kubernetes moved to the cloud in 2022.

Open Source 343

Open Source Java Operating System Programming 343

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 244

Serverless Efficiency Lambda Azure 244

Dynatrace

NOVEMBER 3, 2022

Container as a service is a cloud-based service that allows companies to manage and deploy containers at scale. Container environments enable enterprises to quickly deploy and develop cloud-native applications that can run anywhere. This, in turn, drove the creation of cloud-based services that further automated this function.

Serverless 218

Serverless Azure Hardware Transportation 218

All Things Distributed

SEPTEMBER 14, 2020

After years of optimizing traditional virtualization systems to the limit, we knew we had to make a dramatic change in the architecture if we were going to continue to increase performance and security for our customers.

Virtualization 87

Virtualization AWS Systems Innovation 87

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 251

Development Serverless Best Practices Lambda 251

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

SEPTEMBER 15, 2020

As an Amazon Web Services (AWS) Advanced Technology Partner, Dynatrace easily integrates with AWS to help you stay on top of the dynamics of your enterprise cloud environment?. There are two important use cases for AWS Outposts: As a step in your AWS cloud migration journey, or. What is AWS Outposts?

AWS 201

AWS Design Cloud Storage 201

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. They maintain fault tolerance and redundancy by replicating this information throughout various nodes in the system.

Storage 130

Storage Systems Big Data Azure 130

SQL Performance

DECEMBER 17, 2019

One initial, easy step to moving your SQL Server on-premises workloads to the cloud is using Azure VMs to run your SQL Server workloads in an infrastructure as a service (IaaS) scenario. One important choice you will still have to make is what type and size of Azure virtual machine you want to use for your existing SQL Server workload.

Azure 72

Azure Virtualization Servers Storage 72

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

JUNE 22, 2023

To make data count and to ensure cloud computing is unabated, companies and organizations must have highly available databases. As such, fault tolerance is more expensive to implement because it requires dedicated infrastructure that completely mirrors the primary system. Some disruption might occur, but it will be minimal.

Availability 103

Availability Database Open Source Hardware 103

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. Without enough infrastructure (physical or virtualized servers, networking, etc.), there cannot be high availability.

Availability 76

Availability Hardware Open Source Database 76

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

Adrian Cockcroft

FEBRUARY 9, 2023

We used this model effectively at Netflix when I was their cloud architect from 2010 through 2013. The layers of platforms start at the bottom with hardware choices such as which CPU architectures and vendors you want to use. Netflix made many contributions to open source projects by it’s cloud platform team.

Engineering 137

Engineering Serverless Lambda AWS 137

The Morning Paper

MARCH 8, 2020

This paper describes the design decisions behind the Snowflake cloud-based data warehouse. This paper presents Snowflake design and implementation along with a discussion on how recent changes in cloud infrastructure (emerging hardware, fine-grained billing, etc.) From shared-nothing to disaggregation. Elasticity.

Storage 112

Storage Engineering Cache Serverless 112

Alex Podelko

SEPTEMBER 8, 2020

Instead of diving in arguing about specific points (which I partly did in my earlier post – start from The Future of Performance Testing if you are interested), I decided to talk to people who monetize on these “myths” So here is a virtual interview with Guillaume Betaillouloux , co-founder and Performance Director of OctoPerf.

Open Source 223

Open Source Performance Testing Testing Performance 223

Testsigma

FEBRUARY 5, 2021

Device Infrastructure. Once you have chosen your target devices, consider the architectural aspect of your hardware. A dedicated test lab only makes sense when you have a realistic budget and infrastructure at the place. Why Does Cloud Testing Make Sense? Get Your Own (Cloud) Mobile Testing Lab Today.

Mobile 52

Mobile Testing Hardware DevOps 52

Dotcom-Montior

NOVEMBER 24, 2021

With the rapid advancements in web application technologies, programming languages, cloud computing services, microservices, hybrid environments, etc., These systems can include physical servers, containers, virtual machines, or even a device, or node, that connects and communicates with the network. Concurrency. Heterogeneity.

Systems 74

Systems Monitoring Hardware Network 74

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. I spent years as a cloud customer where I couldn't access many HW-level things.) The actual overhead depends on your workload.

Java 145

Java Cache Google Hardware 145

All Things Distributed

JANUARY 23, 2012

Expanding the Cloud - The AWS Storage Gateway. Today Amazon Web Services has launched the AWS Storage Gateway, making the power of secure and reliable cloud storage accessible from customersâ?? 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

NOVEMBER 11, 2020

those resources now belong to cloud providers, such as AWS Lambda, Google Cloud Platform, Microsoft Azure, and others. Again, the benefit being that the code within your containers or virtual machines is managed by the cloud provider. The primary challenge being not able to access the underlying infrastructure metrics.

Serverless 57

Serverless Monitoring Lambda Latency 57

Dynatrace

AUGUST 5, 2019

Across the board, the topics cloud migration, application modernization, breaking the monolith or hybrid cloud re-platforming have been a center point in many of our discussions with our joint enterprise customers. For our migration projects, we simply roll out Dynatrace OneAgents on the existing infrastructure.

Cloud 31

Cloud Traffic Database Network 31

Percona

SEPTEMBER 1, 2023

Vertical scaling is also often discussed, which involves increasing the resources of a single server, which can have limitations in hardware capabilities and become costly as demands grow. 2) Hardware limitations Disk and memory are inexpensive nowadays. An example is running MongoDB on Mesos.

Best Practices 69

Best Practices Traffic Database Servers 69

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. What is real user monitoring (RUM)?

Strategy 72

Strategy Metrics Monitoring Servers 72

The Morning Paper

FEBRUARY 18, 2020

Providing complete and usable third-party solutions is non-trivial (otherwise the cloud vendors would already have done it). " Training in the cloud and the need for much better governance are both pretty uncontroversial directions. ." But model inference migrating into the DBMS is a bolder prediction.

Government 95

Government Software Engineering Storage Database 95

Dotcom-Montior

JUNE 19, 2017

Held back by budget and infrastructure restrictions, some organizations have been forced to settle for load tests that paint an incomplete picture. Thanks to cloud-based virtual servers, LoadView can send traffic to your site or application from around the world. It’s all done with the click of a single button. Conclusion.

Performance Testing 40

Performance Testing Testing Performance Virtualization 40

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. “ Preventing side-channel attacks between VMs hosted on public cloud infrastructure. virtually-addressed state must be flushed.

Hardware 44

Hardware Cache Latency Speed 44

All Things Distributed

DECEMBER 20, 2017

Developments like cloud computing, the internet of things, artificial intelligence, and machine learning are proving that IT has (again) become a strategic business driver. Breuninger, a fashion department store chain steeped in tradition, has recognized this and relies on a self-developed e-commerce platform in the AWS Cloud.

Artificial Intelligence 79

Artificial Intelligence Social Media Logistics AWS 79

Dotcom-Montior

NOVEMBER 27, 2018

LoadView, our on-demand, cloud-based load and stress testing platform , takes an outside-in approach to performance testing. It helps assess how a site, web application, or API will respond to various traffic, without adding any additional infrastructure. LoadView – Best Practices and Process.

Performance Testing 40

Performance Testing Strategy Testing Performance 40

All Things Distributed

SEPTEMBER 4, 2017

Both concepts are virtually omnipresent and at the top of most buzzword rankings. Secondly, there is enough affordable computing capacity in the cloud for companies and organizations, no matter what their size, to use intelligent applications. Decisive is the openness of the layers and the reliable availability of the infrastructure.

Artificial Intelligence 147

Artificial Intelligence Transportation Education Airlines 147

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

O'Reilly

NOVEMBER 28, 2023

Even with cloud-based foundation models like GPT-4, which eliminate the need to develop your own model or provide your own infrastructure, fine-tuning a model for any particular use case is still a major undertaking. of users) report that “infrastructure issues” are an issue. We’ll say more about this later.) Which Model?

Open Source 111

Open Source Artificial Intelligence Google Infrastructure 111

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.

AWS 144

AWS Hardware Retail Virtualization 144

Smashing Magazine

JANUARY 11, 2021

On the other hand, we have hardware constraints on memory and CPU due to JavaScript parsing and execution times (we’ll talk about them in detail later). Gatsby (React), Next.js (React), Vuepress (Vue), Preact CLI , and PWA Starter Kit provide reasonable defaults for fast loading out of the box on average mobile hardware. ??Also,

Performance 145

Performance Cache Media Metrics 145