Dynatrace

JULY 31, 2020

While to-date it’s been possible to integrate Dynatrace Managed for intelligent monitoring of services running on AWS and Azure, today we’re excited to announce the release of our Dynatrace Managed marketplace listing for the Google Cloud Platform. For more details, see Dynatrace Managed hardware and systems requirements.

Cloud 264

Cloud Availability Azure Google 264

Dynatrace

DECEMBER 8, 2021

You may be using serverless functions like AWS Lambda , Azure Functions , or Google Cloud Functions, or a container management service, such as Kubernetes. Another aspect of microservices is how the service itself relates to the underlying hardware.

Cloud 246

Cloud Serverless Hardware Operating System 246

DZone

OCTOBER 7, 2024

Many organizations rely on cloud services like AWS, Azure, or GCP for these GPU-powered workloads, but a growing number of businesses are opting to build their own in-house model serving infrastructure. As deep learning models evolve, their growing complexity demands high-performance GPUs to ensure efficient inference serving.

Infrastructure 173

Infrastructure Azure Hardware AWS 173

Dynatrace

JULY 8, 2019

When we wanted to add a location, we had to ship hardware and get someone to install that hardware in a rack with power and network. Hardware was outdated. Fixed hardware is a single point of failure – even when we had redundant machines. Keep hardware and browsers updated at all times. Sound easy?

Cloud 203

Cloud Hardware Testing Logistics 203

Scalegrid

MAY 13, 2020

Greenplum Database is an open-source , hardware-agnostic MPP database for analytics, based on PostgreSQL and developed by Pivotal who was later acquired by VMware. The multi-cloud platform allows you to deploy and manage on AWS, Azure or Google Cloud (coming soon) cloud platforms, or VMware on-premise environments. over Greenplum 5.

Big Data 321

Big Data Database Artificial Intelligence Open Source 321

Dynatrace

AUGUST 11, 2022

Cloud providers then manage physical hardware, virtual machines, and web server software management. Cloud providers such as Google, Amazon Web Services, and Microsoft also followed suit with frameworks such as Google Cloud Functions , AWS Lambda , and Microsoft Azure Functions. How does function as a service work?

Development 279

Development Serverless Best Practices Lambda 279

Dynatrace

JANUARY 16, 2023

Most Kubernetes clusters in the cloud (73%) are built on top of managed distributions from the hyperscalers like AWS Elastic Kubernetes Service (EKS), Azure Kubernetes Service (AKS), or Google Kubernetes Engine (GKE). Cloud-hosted Kubernetes clusters are on par to overtake on-premises deployments in 2023.

Open Source 358

Open Source Java Operating System Programming 358

Dynatrace

NOVEMBER 15, 2021

Driving this growth is the increasing adoption of hyperscale cloud providers (AWS, Azure, and GCP) and containerized microservices running on Kubernetes. Logs can include data about user inputs, system processes, and hardware states. In fact, the global log management market is expected to grow from 1.9 billion in 2020 to $4.1

Analytics 264

Analytics Monitoring DevOps Artificial Intelligence 264

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

Dynatrace

SEPTEMBER 29, 2021

Container technology is very powerful as small teams can develop and package their application on laptops and then deploy it anywhere into staging or production environments without having to worry about dependencies, configurations, OS, hardware, and so on. The time and effort saved with testing and deployment are a game-changer for DevOps.

Open Source 334

Open Source DevOps Traffic Cloud 334

Dynatrace

SEPTEMBER 30, 2021

Cloud services platforms like AWS, Azure, and GCP are reshaping how organizations deliver value to their customers, making cloud migration an increasingly attractive option for running applications. They need enough hardware to serve their anticipated volume and keep things running smoothly without buying too much or too little.

Cloud 241

Cloud Traffic Best Practices Strategy 241

Dynatrace

APRIL 15, 2022

. “The team did a two-part attack on that, where we rapidly added more physical infrastructure, but also expanded the Citrix environment into all five CSP regions that we had available to us in the government clouds from Azure and AWS,” Catanoso explains. “We used Dynatrace to monitor that large increase in servers.

Cloud 245

Cloud Infrastructure Innovation Monitoring 245

Scalegrid

JUNE 11, 2019

There are many more opportunities to customize your infrastructure with an on-premise setup, but requires a significant upfront investment in hardware and software computing resources, as well as on-going maintenance responsibilities. with a surprising lead over Azure at 10.8%. of all cloud deployments from this survey.

Open Source 55

Open Source Database Cloud Infrastructure 55

SQL Performance

APRIL 27, 2020

Azure SQL Database is Microsoft's database-as-a-service offering that provides a tremendous amount of flexibility. Microsoft is continually working on improving their products and Azure SQL Database is no different. Microsoft is continually working on improving their products and Azure SQL Database is no different.

Azure 55

Azure Database Serverless Hardware 55

Dynatrace

JUNE 15, 2023

If your app runs in a public cloud, such as Amazon Web Services (AWS), Microsoft Azure, or Google Cloud Platform (GCP), the provider secures the infrastructure, while you’re responsible for security measures within applications and configurations. What are some key characteristics of securing cloud applications?

Cloud 245

Cloud Open Source Architecture Monitoring 245

Dynatrace

OCTOBER 1, 2021

In these modern environments, every hardware, software, and cloud infrastructure component and every container, open-source tool, and microservice generates records of every activity. Observability relies on telemetry derived from instrumentation that comes from the endpoints and services in your multi-cloud computing environments.

Metrics 363

Metrics Open Source Monitoring Cloud 363

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. Amazon S3 and Microsoft Azure Blob Storage leverage distributed storage solutions.

Storage 130

Storage Systems Big Data Azure 130

O'Reilly

SEPTEMBER 15, 2021

Cloud certifications, specifically in AWS and Microsoft Azure, were most strongly associated with salary increases. Our audience is particularly strong in the software (20% of respondents), computer hardware (4%), and computer security (2%) industries—over 25% of the total. Many respondents acquired certifications.

Azure 145

Azure Programming AWS Social Media 145

Scalegrid

JUNE 14, 2024

Key Features Power BI offers an array of features, including interactive dashboards with a drag and drop interface, real-time data monitoring, natural language queries, and seamless integration with other Microsoft applications like Excel and Azure.

Database 130

Database Azure Efficiency Servers 130

O'Reilly

MARCH 11, 2025

These smaller distilled models can run on off-the-shelf hardware without expensive GPUs. Spending a little money on high-end hardware will bring response times down to the point where building and hosting custom models becomes a realistic option. The same model will run in the cloud at a reasonable cost without specialized servers.

Artificial Intelligence 63

Artificial Intelligence Infrastructure Government Open Source 63

Scalegrid

DECEMBER 6, 2023

This type of database offers scalability with no downtime along with giving businesses control over what resources they use through customization capabilities such as choosing hardware infrastructure options or building security measures around it. These advantages come at an expense.

Database 130

Database Cloud Hardware Storage 130

Percona

JUNE 30, 2023

In addition to that: Run up to four pgBackrest repositories Bootstrap the cluster from the existing backup through Custom Resource Azure Blob Storage support Operations Deploying complex topologies in Kubernetes is not possible without affinity and anti-affinity rules. In version 1.x,

Availability 107

Availability Open Source Azure Hardware 107

KeyCDN

FEBRUARY 22, 2023

The goal of WebAssembly is to execute at native speeds by taking advantage of common hardware features available on a variety of platforms. With cloud-based infrastructure, organizations can easily scale their web applications to handle increased traffic or demand without the need for expensive hardware upgrades.

Artificial Intelligence 111

Artificial Intelligence Development Serverless Website 111

The Morning Paper

FEBRUARY 27, 2020

This paper describes Gandalf, the software deployment monitor in production at Microsoft Azure for the past eighteen months plus. memory leaks that take hours to build up into an issue); and there can be problems that only exhibit themselves with certain user, hardware, or software configurations. From signals to decisions.

Analytics 68

Analytics Infrastructure Cloud Hardware 68

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. Whether you choose Azure Functions or AWS Lambda, you cannot easily switch to another. Azure Functions don't have this restriction, but on AWS Lambda, functions are not allowed to run for longer than 5 minutes.

Serverless 64

Serverless Architecture Lambda Azure 64

ACM Sigarch

OCTOBER 10, 2022

Otherwise, there is a risk of repeating many of the mistakes from classical computers where, for many years, security at the hardware and architecture levels was an afterthought. With cloud-based access, anybody, including malicious users, can run their code on the real quantum computer hardware.

Architecture 72

Architecture Hardware Programming Cloud 72

Percona

FEBRUARY 24, 2023

become the responsibility of AWS, GCP, or Azure. Conclusion Knowing your project’s database requirements will be essential when choosing the services and hardware configuration you will pay your cloud service provider for. Serverless allows you to delegate a lot of responsibility to the cloud provider.

Cloud 133

Cloud Serverless AWS Storage 133

SQL Performance

JUNE 21, 2019

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. Azure SQL Database and Azure Managed Instance have managed backups. This issue is valid for on-premises, IaaS, and partially for Azure SQL Managed Instance. Statistics.

Servers 49

Servers Azure Hardware Database 49

The Morning Paper

MARCH 8, 2020

This paper presents Snowflake design and implementation along with a discussion on how recent changes in cloud infrastructure (emerging hardware, fine-grained billing, etc.) Customer data is persisted in S3 (or the equivalent services when running on Azure or GCP), and compute is handled in EC2 instances.

Storage 112

Storage Engineering Cache Serverless 112

VoltDB

JUNE 1, 2017

Hardware Optimizers” want to get the maximum utilization out of hardware. These systems were designed to have a lifetime of half a decade or more, and rapidly changing hardware meant that the initial deployment had to be sized for 5-7 years out. Attendees could be broken down into several distinct groups. Where VoltDB fits.

Hardware 56

Hardware Latency Virtualization Cloud 56

O'Reilly

NOVEMBER 28, 2023

That pricing won’t be sustainable, particularly as hardware shortages drive up the cost of building infrastructure. These models are typically smaller (7 to 14 billion parameters) and easier to fine-tune, and they can run on very limited hardware; many can run on laptops, cell phones, or nanocomputers such as the Raspberry Pi.

Open Source 136

Open Source Google Artificial Intelligence Infrastructure 136

Scalegrid

JANUARY 8, 2024

Understanding Multi-Cloud and Hybrid Cloud Cloud computing has revolutionized the IT industry, offering a host of advantages including cost-effectiveness, increased agility, and access to cutting-edge hardware. In this scenario, two notable models – multi-cloud and hybrid cloud have emerged. But what do these entail?

Cloud 147

Cloud Strategy Scalability Artificial Intelligence 147

The Morning Paper

FEBRUARY 20, 2020

" This is very important performance-wise: unlike most traditional ML frameworks, NN engines support out-of-the-box hardware acceleration through GPUs/FPGAs/NPUs as well as code generation." " Query execution.

Processing 72

Processing Hardware Database Servers 72

Brendan Gregg

FEBRUARY 28, 2023

Make sure your system can handle next-generation DRAM,” [link] Nov 2011 - [Hruska 12] Joel Hruska, “The future of CPU scaling: Exploring options on the cutting edge,” [link] Feb 2012 - [Gregg 13] Brendan Gregg, “Blazing Performance with Flame Graphs,” [link] 2013 - [Shimpi 13] Anand Lal Shimpi, “Seagate to Ship 5TB HDD in 2014 using Shingled Magnetic (..)

Performance 103

Performance Latency Cache Virtualization 103

Percona

DECEMBER 27, 2022

Azure SQL Database. This key is usually stored in a secure location, such as a hardware security module (HSM). Column-Level. Transparent Data Encryption (TDE). Encryption at Rest. Transparent Data Encryption (TDE). Encryption Level. Amazon RDS (Oracle). Amazon RDS (MySQL). Google Cloud SQL (MySQL). Cluster-Level. InnoDB Plugin.

Database 94

Database Storage Servers Strategy 94

VoltDB

JUNE 1, 2017

Hardware Optimizers” want to get the maximum utilization out of hardware. These systems were designed to have a lifetime of half a decade or more, and rapidly changing hardware meant that the initial deployment had to be sized for 5-7 years out. Attendees could be broken down into several distinct groups. Where VoltDB fits.

Hardware 40

Hardware Latency Virtualization Cloud 40

The Morning Paper

SEPTEMBER 19, 2019

Microsoft have a paper describing their new recovery mechanism in Azure SQL Database , the key feature being that it can recovery in constant time. Could it be Analyzing efficient stream processing on modern hardware ? It handles an order of magnitude more throughput than a prototype built on a stream processing engine.

Blockchain 46

Blockchain Hardware Google Speed 46