Dynatrace

JANUARY 26, 2021

This includes custom, built-in-house apps designed for a single, specific purpose, API-driven connections that bridge the gap between legacy systems and new services, and innovative apps that leverage open-source code to streamline processes. Each has its own role to play in successfully implementing this tactical trifecta at scale.

DevOps 257

DevOps Best Practices Open Source Tuning 257

Percona

APRIL 17, 2023

The main objective of this post is to share my experience over the past years tuning MongoDB and centralize the diverse sources that I crossed in this journey in a unique place. The swap issue is explained in the excellent article by Jeremy Cole at the Swap Insanity and NUMA Architecture. mongodb-sysctl.conf – if /etc/sysctl.d

Best Practices 52

Best Practices Design Tuning Database 52

Scalegrid

MARCH 22, 2024

Choosing the Right Cloud Services Choosing the right cloud services is crucial in developing an efficient multi cloud strategy. Adopting spot instances for less critical tasks, which are less expensive than on-demand or reserved instances, is an efficient way of managing expenses.

Strategy 130

Strategy Cloud Government Innovation 130

Dynatrace

OCTOBER 28, 2021

But with the complexity that comes with digital transformation and cloud-native architecture, teams need a way to make sure applications can withstand the “chaos” of production. To limit the cost of uncovering application vulnerabilities, organizations should to avoid tests that overrun the designated blast radius.

Engineering 214

Engineering Entertainment Cloud Infrastructure 214

Scalegrid

JANUARY 11, 2024

Key Takeaways Cloud security monitoring is a comprehensive approach involving both manual and automated processes to oversee servers, applications, platforms, and websites, using tools that are customized to fit unique cloud architectures. This includes servers, applications, software platforms, and websites.

Best Practices 130

Best Practices Cloud Monitoring Strategy 130

Percona

DECEMBER 27, 2023

Consequently, they might miss out on the benefits of integrating security into the SDLC, such as enhanced efficiency, speed, and quality in software delivery. While integrating AI and machine learning into cloud-native architectures, there’s an increasing demand from users for AI to be open and collaborative.

Cloud 77

Cloud Open Source Strategy Best Practices 77

Adrian Cockcroft

NOVEMBER 26, 2023

The Pantheon in Rome — Extremely sustainable architecture — photo by Adrian I wrote a medium post after AWS re:Invent 2022 summarizing the (lack of) news and all the talks related to Sustainability. This includes providing the efficient, resilient services AWS customers expect, while minimizing their environmental footprint.

AWS 52

AWS Energy IoT Best Practices 52

Dynatrace

JULY 16, 2020

To do that, we need an easy and efficient API access to all of our Dynatrace Environments, without having to create and maintain API access tokens of individual tenants. I wanted a rather lightweight design that is yet versatile. In fact, go’s concurrency was so efficient that I ran into a few pitfalls I didn’t think of first: ?

Cache 233

Cache Serverless Efficiency Tuning 233

The Morning Paper

NOVEMBER 10, 2019

It’s been clear for a while that software designed explicitly for the data center environment will increasingly want/need to make different design trade-offs to e.g. general-purpose systems software that you might install on your own machines. The desire for CPU efficiency and lower latencies is easy to understand.

Network 92

Network Transportation Latency Entertainment 92

Dynatrace

MAY 27, 2021

In this article, I take a deeper look into continuous delivery (CD), and describe how this phase of the process is the key to achieving greater efficiency in your software development life cycle. As automation improves quality and efficiency, the simplest result — and perhaps the most noticeable — is getting features to users faster.

Best Practices 130

Best Practices DevOps Open Source Cloud 130

Sutter's Mill

NOVEMBER 11, 2023

If you want to do efficient linear algebra, you don’t want to write your own code by hand; that would be slow. Instead, you want a library that is tuned for your target hardware architecture and ready for par_unseq vectorized algorithms, for blazing speed. Seeing only the end result of T.[0] This is that library.

C++ 115

C++ Lambda Network Programming 115

Dynatrace

JANUARY 19, 2021

Serverless architectures help developers innovate more efficiently and effectively by removing the burden of managing underlying infrastructure. Dynatrace is happy to announce its enhanced AWS Lambda extension, expanding its support for Amazon Web Services (AWS) Lambda and serverless architectures. stay tuned?for

Lambda 198

Lambda Serverless AWS Mobile 198

Dynatrace

MAY 15, 2020

But outdated security practices pose a significant barrier even to the most efficient DevOps initiatives. Utilizing the automatic dependency mapping functionality of the Dynatrace OneAgent, DevSecOps and SecOps teams gain real-time visibility into application and infrastructure architectures.

Government 215

Government DevOps Infrastructure Network 215

Official Blog - World Web Technology

MAY 12, 2023

Stay tuned. When developers use the front-end and back-end together, it is called coupled CMS architecture. Moreover, developers can also make prototypes, test the app, and develop the application efficiently with the Headless CMS. It is also called coupled architecture. This post answers all your queries in detail.

Website 52

Website Development Scalability Architecture 52

Dynatrace

AUGUST 29, 2019

” So, we began designing a repeatable solution to this challenge, represented in our ACM methodology below. Once we can build high-quality software, faster, and more often, the Fully Automated Delivery Pipeline is there to ensure we can get that functionality to our users in an efficient and safe way.

Cloud 131

Cloud DevOps Strategy Monitoring 131

Percona

JANUARY 19, 2023

In this blog post, we will review key topics to consider for managing large datasets more efficiently in MySQL. Redundant indexes: It is known that accessing rows by fetching an index is more efficient than through a table scan in most cases. It can help us to save costs on storage and backup times.

Open Source 85

Open Source Storage Database Big Data 85

Percona

AUGUST 17, 2023

General PostgreSQL use cases In addition to being used as a backend database management system, here are other general uses of PostgreSQL software: Website applications: Because PostgreSQL can handle high volumes of data and concurrent users efficiently, it’s suitable for applications that require scalability and performance.

Open Source 77

Open Source Healthcare Social Media Database 77

Percona

FEBRUARY 24, 2023

To achieve this in a secure and efficient manner, a key requirement for any database monitoring and management software is to have robust access management features. Your company operates a massive distributed architecture that spans multiple data centers and cloud providers, and your databases are a crucial part of this infrastructure.

Metrics 104

Metrics Monitoring Database Engineering 104

The Morning Paper

OCTOBER 18, 2020

Radix Sort is carefully designed to make effective use of the L2 cache and sequential memory accesses, whereas Learned Sort is making random accesses all over the destination array. How can learned sort be adapted to make it cache-efficient? If it’s high performance you’re after, you can’t ignore mechanical sympathy.

Cache 137

Cache C++ Java Tuning 137

The Morning Paper

JUNE 13, 2019

” If we want an increasing number of applications to use machine learning, we must automate issues that affect ease-of-use, performance, and cost efficiency for users and providers… Despite significant research, this is missing right now. We’d like to pack models as efficiently as possible on the underlying infrastructure.

Hardware 58

Hardware Latency Serverless Energy 58

SQL Performance

MARCH 8, 2021

This can make it difficult to draw sound performance-tuning conclusions. Batch operators are implemented so that multiple threads can work efficiently on a single shared structure (e.g. Alternate designs. That is not how the product has been designed, so that’s not what we have (and it might be inefficient anyway).

Servers 95

Servers Tuning Architecture Performance 95

The Netflix TechBlog

DECEMBER 21, 2020

We built AutoOptimize to efficiently and transparently optimize the data and metadata storage layout while maximizing their cost and performance benefits. This article will list some of the use cases of AutoOptimize, discuss the design principles that help enhance efficiency, and present the high-level architecture.

Storage 203

Storage Latency Efficiency Data Engineering 203

Abhishek Tiwari

JULY 12, 2018

If tuned for performance, there is a good change reliability is compromised - and vice versa. This can be efficient at the beginning but counter-productive in a long run. In some cases, this can be enhanced by combining data virtualization techniques with microservices architecture.

Latency 63

Latency Analytics Scalability Engineering 63

The Netflix TechBlog

SEPTEMBER 24, 2021

Table 1: Movie and File Size Examples Initial Architecture A simplified view of our initial cloud video processing pipeline is illustrated in the following diagram. Figure 1: A Simplified Video Processing Pipeline With this architecture, chunk encoding is very efficient and processed in distributed cloud computing instances.

Cloud 237

Cloud Media Storage Cache 237

The Netflix TechBlog

AUGUST 17, 2023

The tool provides an efficient way for creatives (photo editors, artwork designers, etc.) Each algorithm needed a process of evaluation and tuning to get great results in AVA Discovery View. Impact Discovering authentic moments in an efficient and scalable way has a huge impact on Netflix and its creative teams.

Media 169

Media Scalability Architecture Strategy 169

The Netflix TechBlog

AUGUST 1, 2022

Overall Architecture The Data Mesh system can be divided into the control plane (Data Mesh Controller) and the data plane (Data Mesh Pipeline). This design enables us to reuse and share data as much as possible. More Processing Patterns And Better Efficiency People use Data Mesh not only to move data. Please stay tuned!

Processing 272

Processing Transportation Entertainment Tuning 272

The Netflix TechBlog

MARCH 25, 2019

Building and Scaling Data Lineage at Netflix to Improve Data Infrastructure Reliability, and Efficiency By: Di Lin , Girish Lingappa , Jitender Aswani Imagine yourself in the role of a data-inspired decision maker staring at a metric on a dashboard about to make a critical business decision but pausing to ask a question?—?“Can

Infrastructure 219

Infrastructure Big Data Transportation Architecture 219

The Netflix TechBlog

JANUARY 10, 2024

This architecture shift greatly reduced the processing latency and increased system resiliency. When Reloaded was designed, we focused on a single use case: converting high-quality media files (also known as mezzanines) received from studios into compressed assets for Netflix streaming.

Processing 229

Processing Media Latency Innovation 229

The Netflix TechBlog

JUNE 13, 2023

Therefore, the canary framework is designed to monitor operational and customer KPI metrics to detect persistent deviations and terminate the canary experiment if necessary. They enable us to further fine-tune and configure the system, ensuring the new changes are integrated smoothly and seamlessly.

Traffic 279

Traffic Metrics Systems Strategy 279

The Netflix TechBlog

NOVEMBER 20, 2023

We will show how we are building a clean and efficient incremental processing solution (IPS) by using Netflix Maestro and Apache Iceberg. The incremental processing solution (IPS) described here has been designed to address the above problems. It is highly efficient with a low cost. past 3 hours or 10 days).

Processing 210

Processing Big Data Efficiency Engineering 210

The Netflix TechBlog

OCTOBER 27, 2020

At Netflix, we also heavily embrace a microservice architecture that emphasizes separation of concerns. The data warehouse is not designed to serve point requests from microservices with low latency. Therefore, we must efficiently move data from the data warehouse to a global, low-latency and highly-reliable key-value store.

Latency 243

Latency Storage Big Data Tuning 243

The Netflix TechBlog

NOVEMBER 2, 2021

For example, when we design a new version of VMAF, we need to effectively roll it out throughout the entire Netflix catalog of movies and TV shows. This article explains how we designed microservices and workflows on top of the Cosmos platform to bolster such video quality innovations. via bug fixes). We call this system Cosmos.

Media 171

Media Innovation Metrics Latency 171

The Netflix TechBlog

OCTOBER 18, 2022

Meson was based on a single leader architecture with high availability. Figure 1 shows the high-level architecture. Maestro high level architecture In Maestro, a workflow is a DAG (Directed acyclic graph) of individual units of job definition called Steps. But sometimes, it is not efficient.

Java 202

Java Scalability Traffic Architecture 202

John McCalpin

JANUARY 22, 2018

of the “adjusted peak performance”, there is no longer a significant upside to performance tuning. We can estimate the duration by reviewing the execution pipeline diagram (Figure 2-3) in The POWER4 Processor Introduction and Tuning Guide. FMAs/cycle. .

Latency 40

Latency Hardware Code Testing 40

The Netflix TechBlog

MARCH 1, 2021

When Reloaded was designed, we were a small team of developers operating a constrained compute cluster, and focused on one use case: the video/audio processing pipeline. The resulting modular architecture allows teams to concentrate on their area of specialty and control their APIs and release cycles.

Serverless 228

Serverless Media Latency Social Media 228

All Things Distributed

NOVEMBER 28, 2012

Also, because similar data are stored sequentially, Amazon Redshift can compress data efficiently, which further reduces the amount of IO it needs to perform to return results. s architecture and underlying platform are also optimized to deliver high performance for data warehousing workloads. Amazon Redshiftâ??s Amazon Redshiftâ??s

Cloud 164

Cloud Storage Architecture Scalability 164

SQL Server According to Bob

JANUARY 11, 2020

For specific information on I/O tuning and balancing, you will find more details in the following document. Microsoft SQL Server I/O Design To fully understand SQL Server I/O design, it is important to understand the basics of database file I/O operations, transaction log I/O operations, and transactional consistency maintenance.

Servers 40

Servers Cache Media Hardware 40