DZone

OCTOBER 4, 2023

Time-series forecasting is essential in various domains, such as finance, healthcare, and logistics. This article aims to be a comprehensive guide to time-series forecasting using RNNs. This is where Recurrent Neural Networks (RNNs) offer an edge, providing a powerful tool for modeling complex time-dependent phenomena.

Network 161

Network Logistics Healthcare 161

DZone

MARCH 21, 2024

This post continues my exploration of concepts and techniques related to both the way so-called “Jewish times” (zmanim) are calculated; as well as the techniques needed to use the PHP Zmanim library – a library of functions that let you easily calculate Jewish times.

Java 274

Java 274

The Netflix TechBlog

NOVEMBER 11, 2022

By Vi Iyengar , Keila Fong , Hossein Taghavi , Andy Yao , Kelli Griggs , Boris Chen , Cristina Segalin , Apurva Kansara , Grace Tang , Billur Engin , Amir Ziai , James Ray , Jonathan Solorzano-Hamilton Welcome to the first post in our multi-part series on how Netflix is developing and using machine learning (ML) to help creators make better media?—?from

Media 239

Media Virtualization Efficiency Innovation 239

DZone

MAY 26, 2023

Therefore, I found it important to write a piece based on my understanding of time series data versus relational data as someone with a unique understanding of both. I have coded many applications, both client and web, over my career, and I understand the importance of building a well-developed application from the ground up.

Database 292

Database Code Development 292

DZone

APRIL 4, 2023

Processed market data and orders may then be saved to a time series database for further analysis. For example, the market data team may continuously update real-time quotes for a security to Kafka, and the trading team may consume that data to make buy/sell orders.

Processing 262

Processing Database Infrastructure Testing 262

DZone

MARCH 7, 2024

Acknowledgments In this blog, I’m explaining concepts and techniques related to both the way so-called “Jewish times” (zmanim) are calculated; as well as the techniques needed to use the PHP Zmanim library – a library of functions that let you easily calculate Jewish times. The PHPZmanim library is maintained by Zachary Weixelbaum.

Java 247

Java Speed Development 247

DZone

JANUARY 13, 2023

In this tutorial, you are going to learn about QuestDB SQL extensions which prove to be very useful with time-series data. Using some sample data sets, you will learn how designated timestamps work and how to use extended SQL syntax to write queries on time-series data.

IoT 174

IoT Analytics Database Metrics 174

All Things Distributed

MAY 26, 2021

We dive into the world of time series data with a look at the design of Amazon Timestream.

Design 212

Design 212

SQL Performance

MARCH 10, 2021

This is the third part in a series about solutions to the number series generator challenge. Relying on column elimination logic, alan came up with the idea to return not just one column with the number series, but three: Column rn represents an unmanipulated result of the ROW_NUMBER function, which starts with 1. and dbo.T3

C++ 134

C++ Testing Code Servers 134

Percona

MARCH 12, 2024

PostgreSQL extensions are great! Simply by adding an extension, one transforms what is an otherwise vanilla general-purpose database management system into one capable of processing data requirements in a highly optimized fashion. ’d like […]

Database 108

Database Systems Processing Development 108

SQL Performance

MAY 12, 2021

This is the fifth and last part in the series covering solutions to the number series generator challenge. Let’s first test the function requesting a series of 100M numbers, with the MAX aggregate applied to column n: SELECT MAX ( n ) AS mx FROM dbo. In Part 1 , Part 2 , Part 3 and Part 4 I covered pure T-SQL solutions.

C++ 111

C++ Servers Database Code 111

SQL Performance

FEBRUARY 10, 2021

This is the second part in a series about solutions to the number series generator challenge. The question is, how likely is it that you will return large result sets to the client in real life scenarios even when you do use the function to produce a large number series? There were no I/O operations involved in those solutions.

C++ 124

C++ Servers Testing Code 124

SQL Performance

JANUARY 13, 2021

Last month I posted a challenge to create an efficient number series generator. The functions use a series of cascading CTEs, each applying a product (cross join) of two instances of its preceding CTE. A CTE called Nums uses the ROW_NUMBER function to produce a series of numbers starting with 1. The responses were overwhelming.

C++ 113

C++ Code Testing Processing 113

SQL Performance

APRIL 14, 2021

This is the fourth part in a series about solutions to the number series generator challenge. This solution defines a base table-value constructor with 16 rows, and a series of cascading CTEs with cross joins to inflate the number of rows to potentially 4B. Are we done yet, or is this series going to last forever?

C++ 112

C++ Servers Testing Code 112

Brendan Gregg

APRIL 14, 2022

A large and unexpected opportunity has come my way outside of Netflix that I've decided to try. Netflix has been the best job of my career so far, and I'll miss my colleagues and the culture. offer letter logo (2014). flame graphs (2014). eBPF tools (2014-2019). PMC analysis (2017). my pandemic-abandoned desk (2020); office wall.

Java 145

Java Cloud Cache AWS 145

DZone

FEBRUARY 15, 2024

This is a bonus blog post for the AI for Web Devs series I recently wrapped up. If you haven’t read that series yet, I’d encourage you to check it out. This post will look at the existing project architecture and ways we can improve it for both application developers and the end user.

Architecture 260

Architecture Development 260

n0derunner

AUGUST 10, 2020

A series of videos showing how to install, run, modify and analyze HCI clusters with the Nutanix X-ray tool How to Download and Install X-Ray to a Nutanix AHV Cluster How to modify an existing X-Ray workload to create your own HCI benchmark How to use the X-ray built-in comparison function to investigate performance of.

Benchmarking 52

Benchmarking Performance 52

DZone

DECEMBER 15, 2023

In the first two parts of this series, we understood the importance of cost models and how to create and refine cost models. Reference (Part 1 of this series): The Workload In the subsequent parts, we learned how to optimize our workload components across infrastructure, applications, and data.

Innovation 293

Innovation Infrastructure Cloud 293

DZone

JANUARY 29, 2024

It was the first article in this series. By sharing common pitfalls in this series, the hope is that we can learn from them. In the previous introduction , we looked at the problem facing everyone with cloud-native observability. In this article, you'll find the first pitfall discussion that's another common mistake organizations make.

Cloud 275

Cloud DevOps Engineering 275

SQL Performance

DECEMBER 9, 2020

In Part 5 of my series on table expressions I provided the following solution for generating a series of numbers using CTEs, a table value constructor and cross joins: DECLARE @low AS BIGINT = 1001 , @high AS BIGINT = 1010 ; WITH. Community call for creating the fastest number series generator appeared first on SQLPerformance.com.

C++ 114

C++ Servers Testing Processing 114

DZone

DECEMBER 12, 2023

Back in December of 2022, I started a series taking you on a tour of the Perses project. I used a "getting started" workshop to guide you through this series and to provide a hands-on experience for those new to visualizing observability data.

Cloud 271

Cloud 271

DZone

DECEMBER 11, 2023

Back in December of 2022, I started a series taking you on a tour of the Perses project. I used a getting started workshop (linked below) to guide you through this series and to provide a hands-on experience for those new to visualizing observability data.

Cloud 284

Cloud Architecture Monitoring Code 284

DZone

JULY 11, 2023

In 2020, I presented a series with insights from real implementations adopting open-source and cloud-native technology to modernize payment services. The major omission in this series was to avoid discussing any aspect of cloud-native observability.

Architecture 293

Architecture Open Source DevOps Cloud 293

DZone

DECEMBER 18, 2023

Back in December of 2022, I started a series taking you on a tour of the Perses project. I used a getting started workshop to guide you through this series and to provide a hands-on experience for those new to visualizing observability data.

Cloud 251

Cloud 251

Rigor

SEPTEMBER 17, 2019

Rigor’s “The Best in Performance” interview series offers the chance to listen in on conversations with web performance industry experts, thought leaders, and technologists as they discuss current trends, challenges, and lessons that impact the performance and APM space today.

Performance 68

Performance 68

Dynatrace

SEPTEMBER 4, 2019

There are two main sources for individual events in Dynatrace: (1) Events that are triggered by a series of measurements (i.e, Create custom events for time-series measures that trigger Davis problem analysis or provide context for Davis-analyzed situations. metric-based events) within your Dynatrace monitoring environment.

Metrics 138

Metrics Network Monitoring Availability 138

DZone

JUNE 21, 2023

In 2020, I presented a series of insights from real implementations adopting open-source and cloud-native technology to modernize payment services. The series consisted of six articles and covered architectural diagrams from logical, schematic, and detailed views of the various use cases uncovered.

Architecture 265

Architecture Open Source Cloud Technology 265

DZone

JANUARY 30, 2024

The evolution of enterprise software engineering has been marked by a series of "less" shifts — from client-server to web and mobile ("client-less"), data center to cloud ("data-center-less"), and app server to serverless.

Software Engineering 266

Software Engineering Engineering Software Software 266

DZone

DECEMBER 13, 2023

In Part 3 of this series, we learned how to optimize our workload components, specifically cost optimization techniques for infrastructure. We have understood the importance of cost models and how to create and refine cost models.

Innovation 285

Innovation Architecture Infrastructure Cloud 285

DZone

NOVEMBER 24, 2023

In part 2 of the series, we will walk you through the steps on how you go about creating the FinOps cost model for an example solution. In Part 1 , we looked at the overview of FinOps as an evolving practice to deliver maximum value from investments in the cloud. There are 3 steps to creating and implementing the cost model:

Innovation 306

Innovation Cloud 306

Tasktop

DECEMBER 2, 2021

The post Starting Your Journey from Project to Product: Treat Improvement Like a Series of Experiments and Continuously Improve appeared first on Tasktop Blog. Finding opportunities in the program as well as executive readouts to highlight and celebrate these learnings will ensure focus and momentum.

Metrics 98

Metrics Programming Software Software 98

DZone

AUGUST 23, 2023

Monitoring Time-Series IoT Device Data Time-series data is crucial for IoT device monitoring and data visualization in industries such as agriculture, renewable energy, and meteorology. It enables trend analysis, anomaly detection, and predictive analytics, empowering businesses to optimize performance and make data-driven decisions.

IoT 241

IoT Energy Open Source Analytics 241

DZone

NOVEMBER 13, 2023

In this series, we will walk you through an example solution and how to effectively implement a shift-left approach to FinOps to demonstrate the techniques to discover and validate cost optimizations throughout a typical cloud software development lifecycle.

Innovation 316

Innovation Cloud Software Software 316

SQL Performance

AUGUST 27, 2019

On August 7, 2019, AMD finally unveiled their new 7nm EPYC 7002 Series of server processors, formerly code-named "Rome" at the AMD EPYC Horizon Event in San Francisco. This is the second generation EPYC server processor that uses the same Zen 2 architecture as the AMD Ryzen 3000 Series desktop processors. If we divide 7012.53

Servers 52

Servers Benchmarking Virtualization Architecture 52

DZone

MAY 24, 2023

Back in 2020, I kicked off a series covering this architecture with the article Payments Architecture - An Introduction. The series consisted of six articles and covered architectural diagrams from logical and schematic to detailed views of the various use cases we uncovered. One of the use cases is known as financial payments.

Architecture 242

Architecture Open Source Development 242

DZone

DECEMBER 21, 2023

Back in December of 2022, I started a series taking you on a tour of the Perses project. I used a getting started workshop to guide you through this series and to provide a hands-on experience for those new to visualizing observability data.

Cloud 169

Cloud 169

DZone

DECEMBER 14, 2023

Back in December of 2022, I started a series taking you on a tour of the Perses project. I used a getting started workshop to guide you through this series and to provide a hands-on experience for those new to visualizing observability data.

Cloud 169

Cloud 169