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. On Public Clouds: Microsoft: Azure Functions. Amazon: AWS Lambda. Disadvantages. IBM: OpenWhisk.

Serverless 64

Serverless Architecture Lambda Azure 64

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 110

Performance Latency Cache Virtualization 110

Dynatrace

AUGUST 12, 2020

x runtime versions of Azure Functions running in an Azure App Service plan. This gives you deep visibility into your code running in Azure Functions, and, as a result, an understanding of its impact on overall application performance and user experience. Azure Functions in a nutshell. Optimize timing hotspots.

Serverless 239

Serverless Azure Monitoring Lambda 239

Dotcom-Montior

NOVEMBER 11, 2020

those resources now belong to cloud providers, such as AWS Lambda, Google Cloud Platform, Microsoft Azure, and others. Traffic refers to how much demand is being placed on your system, which depending on the service, is typically HTTP requests per second. Monitoring Serverless Applications with Dotcom-Monitor.

Serverless 57

Serverless Monitoring Lambda Latency 57

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

Dynatrace

JANUARY 26, 2021

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. AWS Lambda functions are an example of how a serverless framework works: Developers write a function in a supported language or platform.

Serverless 245

Serverless Efficiency Lambda Azure 245

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. S3 on AWS). Elasticity.

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 40

Hardware Latency Virtualization Cloud 40

Dynatrace

AUGUST 12, 2020

x runtime versions of Azure Functions running in an Azure App Service plan. This gives you deep visibility into your code running in Azure Functions, and, as a result, an understanding of its impact on overall application performance and user experience. Azure Functions in a nutshell. Optimize timing hotspots.

Serverless 143

Serverless Azure Monitoring Lambda 143

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 52

Performance Latency Cache Virtualization 52

Dynatrace

JUNE 29, 2022

They use the same hardware, APIs, tools, and management controls for both the public and private clouds. Five available hybrid cloud platforms from the top public cloud providers include the following: Azure Stack : Consumers can access different Azure cloud services from their own data center and build applications for Azure cloud.

Infrastructure 187

Infrastructure Cloud Azure AWS 187

Dynatrace

NOVEMBER 3, 2022

Managed orchestration uses solutions such as Kubernetes or Azure Service Fabric to provide greater container control and customization. Serverless container offerings such as AWS Fargate enable companies to manage and modify containers while abstracting server layers to offer customization without increased complexity. CaaS vs. FaaS.

Serverless 221

Serverless Azure Hardware Transportation 221

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 215

Cloud Availability Azure Google 215

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 202

Cloud Hardware Testing Logistics 202

Percona

JULY 1, 2023

Now that Database-as-a-service (DBaaS) is in high demand, there are multiple questions regarding AWS services that cannot always be answered easily: When should I use Aurora and when should I use RDS MySQL ? Amazon Aurora is a proprietary, cloud-native, fully managed relational database service developed by Amazon Web Services (AWS).

AWS 52

AWS Database Serverless Storage 52

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?

Strategy 147

Strategy Cloud Scalability Artificial Intelligence 147

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 255

Development Serverless Best Practices Lambda 255

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 214

Analytics Monitoring Artificial Intelligence DevOps 214

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 230

Cloud Serverless Hardware Operating System 230

Percona

FEBRUARY 24, 2023

Figure 1: PMM Home Dashboard From the Amazon Web Services (AWS) documentation , an instance is considered over-provisioned when at least one specification of your instance, such as CPU, memory, or network, can be sized down while still meeting the performance requirements of your workload and no specification is under-provisioned.

Cloud 116

Cloud Serverless AWS Storage 116

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. Open Source.

Big Data 321

Big Data Database Artificial Intelligence Open Source 321

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

O'Reilly

NOVEMBER 28, 2023

That pricing won’t be sustainable, particularly as hardware shortages drive up the cost of building infrastructure. How will AI adopters react when the cost of renting infrastructure from AWS, Microsoft, or Google rises? The LLaMA-family models also fall into the “so-called open source” category that restricts what you can build.

Open Source 108

Open Source Artificial Intelligence Google Infrastructure 108

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 Infrastructure 363

Adrian Cockcroft

NOVEMBER 13, 2023

In the simplest case, you have a growing workload, and you optimize it to run more efficiently so that you don’t need to buy or rent additional hardware, so your carbon footprint stays the same, but the carbon per transaction or operation is going down.

Energy 52

Energy Cloud Traffic Transportation 52

Testsigma

MAY 19, 2021

Infrastructure as a Service is the term used for those cloud-based solutions that provide complete infrastructure to the users including all the overheads, hardware, and networking facilities. SaaS does not need you to manage hardware or other requirements such as OS and middleware. Infrastructure as a Service (IaaS). Sign up Now.

DevOps 59

DevOps Cloud Artificial Intelligence Infrastructure 59

SQL Performance

JANUARY 22, 2020

In addition to having the fixed costs of hardware resources for Azure VM, SQL Database, or AWS EC2 or RDS, there is an added cost for network traffic to and from the cloud that is tacked on to the billing for each month.

Servers 55

Servers Azure Hardware Network 55

Percona

JULY 26, 2023

To make this process work more efficiently and ensure a smooth failover, it is important to have the same hardware configuration on all the nodes of the replica set. It can support logical, physical, and point-in-time recovery backups and backups to anywhere, including AWS S3, Azure, or filesystem storage types.

Database 78

Database Servers Storage Strategy 78

Sutter's Mill

JUNE 21, 2012

Now welcome to the hardware jungle. For example, to use compute clouds like Azure and AWS, you usually start with two basic pieces: the queue(s), which you use to push the work items out/around and results back/around; and. — The free lunch is over. The slides are available here.

Latency 40

Latency Transportation Hardware Education 40

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

High Scalability

NOVEMBER 25, 2019

Egnyte is a secure Content Collaboration and Data Governance platform, founded in 2007 when Google drive wasn't born and AWS S3 was cost-prohibitive. Tens of petabytes of data stored in our servers and other object stores such as GCS, S3 and Azure Blobstore. AWS for builds. We did this as AWS was cost-prohibitive.

Architecture 52

Architecture Cache Azure Storage 52