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.

Storage 112

Storage Engineering Cache Serverless 112

VoltDB

JUNE 1, 2017

It was – like the hypothetical movie I describe above – more than a little bit odd, as you could leave a session discussing ever more abstract layers of virtualization and walk into one where they emphasized the critical importance of pinning a network interface to a specific VM for optimal performance.

Hardware 56

Hardware Latency Virtualization Cloud 56

Brendan Gregg

FEBRUARY 28, 2023

TCP Extensions for Multipath Operation with Multiple Addresses,” [link] , Mar 2020 [Gregg 20] Brendan Gregg, “Systems Performance: Enterprise and the Cloud, Second Edition,” Addison-Wesley, 2020 [Hruska 20] Joel Hruska, “Intel Demos PCIe 5.0 Ford, et al., “TCP

Performance 52

Performance Latency Cache Virtualization 52

Dynatrace

JUNE 29, 2022

More than 90% of enterprises now rely on a hybrid cloud infrastructure to deliver innovative digital services and capture new markets. That’s because cloud platforms offer flexibility and extensibility for an organization’s existing infrastructure. What is hybrid cloud architecture?

Infrastructure 179

Infrastructure Cloud Azure AWS 179

Dynatrace

JULY 8, 2019

While not a new concept, the term “cloud” creates a lot of confusion because it means different things to different audiences. I’ve been speaking to customers over the last few months about our new cloud architecture for Synthetic testing locations and their confusion is clear. Hardware was outdated. Dynatrace news. Sound easy?

Cloud 201

Cloud Hardware Testing Logistics 201

VoltDB

JUNE 1, 2017

It was – like the hypothetical movie I describe above – more than a little bit odd, as you could leave a session discussing ever more abstract layers of virtualization and walk into one where they emphasized the critical importance of pinning a network interface to a specific VM for optimal performance.

Hardware 40

Hardware Latency Virtualization Cloud 40

Dynatrace

DECEMBER 8, 2021

As cloud environments become increasingly complex, legacy solutions can’t keep up with modern demands. As a result, companies run into the cloud complexity wall – also known as the cloud observability wall – as they struggle to manage modern applications and gain multicloud observability with outdated tools.

Cloud 223

Cloud Serverless Hardware Operating System 223

Percona

FEBRUARY 24, 2023

If you’re using PostgreSQL in the cloud, there’s a good chance you’re spending more than you need in order to get the results you need for your business. Usage reduction: What to look for to reduce PostgreSQL cloud costs The first step in cost reduction is to use what you need and not more. Don’t pay for capacity you don’t use or need.

Cloud 121

Cloud Serverless AWS Storage 121

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 216

Serverless Azure Hardware Transportation 216

Dynatrace

SEPTEMBER 29, 2021

If cloud-native technologies and containers are on your radar, you’ve likely encountered Docker and Kubernetes and might be wondering how they relate to each other. Docker Engine is built on top containerd , the leading open-source container runtime, a project of the Cloud Native Computing Foundation (DNCF). Networking.

Open Source 298

Open Source Traffic DevOps Cloud 298

Dynatrace

NOVEMBER 15, 2021

Log monitoring, log analysis, and log analytics are more important than ever as organizations adopt more cloud-native technologies, containers, and microservices-based architectures. Driving this growth is the increasing adoption of hyperscale cloud providers (AWS, Azure, and GCP) and containerized microservices running on Kubernetes.

Analytics 205

Analytics Monitoring Artificial Intelligence DevOps 205

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 247

Development Serverless Best Practices Lambda 247

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

Testsigma

MAY 19, 2021

DevOps and cloud-based computing have existed in our life for some time now. Today, we are here to talk about the successful amalgamation of DevOps and cloud-based technologies that is amazing in itself. Why Opt For Cloud-Based Solutions and DevOps? Cloud-based solutions are extremely fast when combined with DevOps.

DevOps 59

DevOps Cloud Artificial Intelligence Infrastructure 59

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. Greenplum interconnect is the networking layer of the architecture, and manages communication between the Greenplum segments and master host network infrastructure.

Big Data 321

Big Data Database Artificial Intelligence Open Source 321

The Morning Paper

FEBRUARY 27, 2020

Gandalf: an intelligent, end-to-end analytics service for safe deployment in cloud-scale infrastructure , Li et al., This paper describes Gandalf, the software deployment monitor in production at Microsoft Azure for the past eighteen months plus. In Azure, most catastrophic issues happen within 1 hour after the rollout.

Analytics 68

Analytics Infrastructure Cloud Hardware 68

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. This is an area where cloud providers already bear much of the burden, and will continue to bear it in the future.

Open Source 108

Open Source Artificial Intelligence Google Infrastructure 108

The Morning Paper

SEPTEMBER 19, 2019

We hear a lot from Google and Microsoft about their cloud platforms, but not quite so much from the other key industry players. Microsoft have a paper describing their new recovery mechanism in Azure SQL Database , the key feature being that it can recovery in constant time. Autoscaling tiered cloud storage in Anna.

Blockchain 46

Blockchain Hardware Google Analytics 46

Percona

JULY 26, 2023

As with any database, developers and DBAs working with MongoDB should look at how to optimize the performance of their database, especially nowadays with cloud services, where each byte processed, transmitted, and stored costs money. While cloud services make it easy to scale up instances, the cost can quickly mount up.

Database 81

Database Servers Storage Strategy 81

SQL Performance

JANUARY 22, 2020

It affects the number of TDS buffers that are sent across the network to SQL Server, and it also impacts the overall processing time for the commands. Where this really can make a difference is in cloud implementations where you are paying for more than just compute and storage resources.

Servers 55

Servers Azure Hardware Network 55

Sutter's Mill

JUNE 21, 2012

In the twilight of Moore’s Law, the transitions to multicore processors, GPU computing, and HaaS cloud computing are not separate trends, but aspects of a single trend—mainstream computers from desktops to ‘smartphones’ are being permanently transformed into heterogeneous supercomputer clusters.

Latency 40

Latency Transportation Hardware Education 40

High Scalability

NOVEMBER 25, 2019

Our only option was to roll up our sleeves and build basic cloud file system components such as object store ourselves. To add elasticity, reliability and durability, these data centers are connected to Google Cloud platform using high speed, secure Google Interconnect network. Migration to cloud. Cloud Platform.

Architecture 52

Architecture Cache Azure Storage 52