Brendan Gregg

FEBRUARY 28, 2023

This talk originated from my updates to [Systems Performance 2nd Edition], and this was the first time I've given this talk in person! CXL in a way allows a custom memory controller to be added to a system, to increase memory capacity, bandwidth, and overall performance. Ford, et al., “TCP

Performance 110

Performance Latency Cache Virtualization 110

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.) have altered the many assumptions that guided the design and optimization of the Snowflake system. S3 on AWS). From shared-nothing to disaggregation.

Storage 112

Storage Engineering Cache Serverless 112

Dotcom-Montior

NOVEMBER 11, 2020

those resources now belong to cloud providers, such as AWS Lambda, Google Cloud Platform, Microsoft Azure, and others. Developers don’t have to put in additional time to fine-tuning the system, or rely on other teams for support, as it’s done automatically with the cloud provider. Focus on Application Development.

Serverless 57

Serverless Monitoring Lambda Latency 57

VoltDB

JUNE 1, 2017

Hardware Optimizers” want to get the maximum utilization out of hardware. Telcos and Fortune 500 corporations used to spend years defining custom systems, down to the last cable. Private Clouds made of commodity hardware are perceived as the logical solution to this problem. The “Public Private Cloud” folks.

Hardware 56

Hardware Latency Virtualization Cloud 56

Brendan Gregg

FEBRUARY 28, 2023

This talk originated from my updates to Systems Performance 2nd Edition , and this was the first time I've given this talk in person! CXL in a way allows a custom memory controller to be added to a system, to increase memory capacity, bandwidth, and overall performance. Ford, et al., “TCP

Performance 52

Performance Latency Cache Virtualization 52

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

VoltDB

JUNE 1, 2017

Hardware Optimizers” want to get the maximum utilization out of hardware. Telcos and Fortune 500 corporations used to spend years defining custom systems, down to the last cable. Private Clouds made of commodity hardware are perceived as the logical solution to this problem. The “Public Private Cloud” folks.

Hardware 40

Hardware Latency Virtualization Cloud 40

Dynatrace

NOVEMBER 3, 2022

These containers are software packages that include all the relevant dependencies needed to run software on any system. Managed orchestration uses solutions such as Kubernetes or Azure Service Fabric to provide greater container control and customization. In FaaS environments, providers manage all the hardware. CaaS vs. FaaS.

Serverless 217

Serverless Azure Hardware Transportation 217

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 181

Infrastructure Cloud Azure AWS 181

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 208

Cloud Availability Azure Google 208

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 201

Cloud Hardware Testing Logistics 201

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

NOVEMBER 15, 2021

Driving this growth is the increasing adoption of hyperscale cloud providers (AWS, Azure, and GCP) and containerized microservices running on Kubernetes. A log is a detailed, timestamped record of an event generated by an operating system, computing environment, application, server, or network device. billion in 2020 to $4.1

Analytics 208

Analytics Monitoring Artificial Intelligence DevOps 208

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

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. When an application runs on a single large computing element, a single operating system can monitor every aspect of the system.

Cloud 225

Cloud Serverless Hardware Operating System 225

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 250

Development Serverless Best Practices Lambda 250

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 MPP system leverages a shared-nothing architecture to handle multiple operations in parallel. Typically an MPP system has one leader node and one or many compute nodes.

Big Data 321

Big Data Database Artificial Intelligence Open Source 321

Dynatrace

OCTOBER 1, 2021

As dynamic systems architectures increase in complexity and scale, IT teams face mounting pressure to track and respond to conditions and issues across their multi-cloud environments. How do you make a system observable? Dynatrace news.

Metrics 363

Metrics Open Source Monitoring Infrastructure 363

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? Users also need to know how to create a prompt for an AI system that will generate a useful answer.

Open Source 108

Open Source Artificial Intelligence Google Infrastructure 108

Testsigma

MAY 19, 2021

DevOps is not a single system, rather it is a combination of many processes – testing, deployment, production, etc – thus, it’s better termed as a ‘distributed infrastructure’. Cloud-based solutions help to easily centralize all the distributed systems and processes and can be managed from the same place anywhere, anytime.

DevOps 59

DevOps Cloud Artificial Intelligence Infrastructure 59

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. they are never really idle. I’ve written before about how to tune out retry storms.

Energy 52

Energy Cloud Traffic Transportation 52

SQL Performance

JANUARY 22, 2020

The DataTable can be created multiple ways in the.NET code, but a common way to create the table is something like the following: System. DataTable DefaultTable = new System. Add ( "Date" , typeof ( DateTime ) ) ; You can also create the DataTable using the inline definition as follows: System.

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 81

Database Servers Storage Strategy 81

Sutter's Mill

JUNE 21, 2012

Now welcome to the hardware jungle. We can and do build secure reliable global banking systems on that. 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.

Latency 40

Latency Transportation Hardware Education 40

Scalegrid

JUNE 11, 2019

Now, let’s take a look at the cloud infrastructure setup breakdown by database management systems. 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.

Open Source 55

Open Source Database Cloud Infrastructure 55

High Scalability

NOVEMBER 25, 2019

He and his colleagues spend their productive hours scaling large distributed file systems. 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. Java used to power core file system code. You can reach him at @kpatelwork. Introduction.

Architecture 52

Architecture Cache Azure Storage 52