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. What Exactly is Greenplum? So, how is this all coordinated? Open Source.

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? Limited visibility.

Development 239

Development Serverless Best Practices Lambda 239

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 Hardware was outdated.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 199

Cloud Hardware Testing Logistics 199

Dynatrace

SEPTEMBER 29, 2021

Think of containers as the packaging for microservices that separate the content from its environment – the underlying operating system and infrastructure. It becomes immediately clear there must be number of mechanisms in place to coordinate such a distributed system. Networking. In production, containers are easy to replicate.

Open Source 290

Open Source Traffic DevOps Cloud 290

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 168

Cloud Open Source Architecture Monitoring 168

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 158

Cloud Traffic Best Practices Strategy 158

The Morning Paper

FEBRUARY 27, 2020

Modern software systems at scale are incredibly complex ever changing environments. This paper describes Gandalf, the software deployment monitor in production at Microsoft Azure for the past eighteen months plus. Gandalf system design. NSDI’20. Gandalf therefore operates in a very noisy environment.

Analytics 68

Analytics Infrastructure Cloud Hardware 68

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

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

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. ” Crusher is a Google system for automatically discovering email templates (e.g. Could it be Analyzing efficient stream processing on modern hardware ? What’s their secret???

Blockchain 46

Blockchain Hardware Google Analytics 46

The Morning Paper

FEBRUARY 20, 2020

Raven is the system that Microsoft built to explore this question, and answer it with a resounding yes. NN translation optimisations replace classical ML operators and data ‘featurizers’ with neural networks that can be executed directly in e.g. ONNX Runtime, PyTorch, or TensorFlow. " " Query execution.

Processing 72

Processing Hardware Database Azure 72

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. From shared-nothing to disaggregation.

Storage 112

Storage Engineering Cache Serverless 112

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

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. The “Public Private Cloud” folks.

Hardware 56

Hardware Latency Virtualization Cloud 56

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

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

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. The “Public Private Cloud” folks.

Hardware 40

Hardware Latency Virtualization Cloud 40

Sutter's Mill

JUNE 21, 2012

Now welcome to the hardware jungle. A classic example is TCP , which delivers reliable communications over notoriously- and deliberately-unreliable IP which can drop and reorder packets as network nodes and communications paths keep madly appearing and reappearing like a herd of crazed Cheshire cats. — The free lunch is over.

Latency 40

Latency Transportation Hardware Education 40

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. When you run multiple MongoD processes on the same server, it’s very difficult to monitor them and the resources they are consuming (CPU, RAM, Network, etc.).

Database 79

Database Servers Storage Strategy 79

SQL Server According to Bob

JULY 13, 2016

desktop machine (I won’t tell you the hardware details. And the Operating System environment for Windows Server has become more robust but has introduced more features and complexity. So the initial time to run this all depends on your network speed. Here is what it looked like on my system. Go install it”.

Servers 40

Servers Media Engineering Virtualization 40

O'Reilly

NOVEMBER 28, 2023

That pricing won’t be sustainable, particularly as hardware shortages drive up the cost of building infrastructure. The same thing happened to networking 20 or 25 years ago: wiring an office or a house for ethernet used to be a big deal. Users also need to know how to create a prompt for an AI system that will generate a useful answer.

Open Source 112

Open Source Artificial Intelligence Google Infrastructure 112

High Scalability

NOVEMBER 25, 2019

He and his colleagues spend their productive hours scaling large distributed file systems. Our only option was to roll up our sleeves and build basic cloud file system components such as object store ourselves. Java used to power core file system code. Egnyte is a Secure Content Platform built specifically for businesses.

Architecture 52

Architecture Cache Azure Storage 52