Dynatrace

AUGUST 2, 2022

To address this, organizations are integrating DevOps and security, or “DevSecOps,” to detect and respond to software flaws in production faster and with more efficiency. In modern cloud-native environments, which rely on microservices architectures, application teams that are responsible for innovation face some dilemmas.

DevOps 130

DevOps Strategy Open Source Java 130

All Things Distributed

DECEMBER 1, 2016

Today, we're making available broad new services which that let builders prepare and operate their applications more quickly and efficiently, and respond to changes in both their business and their operating environment, swiftly. In the old world, access to infrastructure resources was a big differentiator for big, wealthy companies.

AWS 162

AWS Development Lambda Open Source 162

Dynatrace

JULY 11, 2023

We’re delighted to share that IBM and Dynatrace have joined forces to bring the Dynatrace Operator, along with the comprehensive capabilities of the Dynatrace platform, to Red Hat OpenShift on the IBM Power architecture (ppc64le). Dynatrace webhook server validates Dynakube definitions for correctness.

Architecture 171

Architecture Availability Infrastructure Metrics 171

Smashing Magazine

JUNE 29, 2021

Jamstack general service architecture ( Large preview ). Netlify’s new deployment infrastructure allows developers to create logic to determine what pieces of their app will build on deployment and what pieces will be deferred (and how they will be deferred). The cache is invalidated on a time basis. Critical. To build a Next.js

Cache 129

Cache Website Strategy Traffic 129

Testsigma

SEPTEMBER 15, 2020

If automation is there then definitely scripting will be a part of it, only that this script will be automatically created from codeless automated steps written by the Tester. Time Efficiency. The framework provided by the tool follows a particular structure and architecture, this results in a properly managed framework.

Testing 59

Testing Testing Tools Code DevOps 59

Dynatrace

APRIL 20, 2023

With more automated approaches to log monitoring and log analysis, however, organizations can gain visibility into their applications and infrastructure efficiently and with greater precision—even as cloud environments grow. Logs are automatically produced and time-stamped documentation of events relevant to cloud architectures.

Analytics 190

Analytics Infrastructure Storage Efficiency 190

All Things Distributed

SEPTEMBER 4, 2017

This has allowed for more research, which has resulted in reaching the "critical mass" in knowledge that is needed to kick off an exponential growth in the development of new algorithms and architectures. Definitely, because they offer business and society fascinating possibilities. Progress through machine learning.

Artificial Intelligence 147

Artificial Intelligence Transportation Education Airlines 147

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

Dynatrace

OCTOBER 4, 2022

Grail architectural basics. The aforementioned principles have, of course, a major impact on the overall architecture. A data lakehouse addresses these limitations and introduces an entirely new architectural design. It’s based on cloud-native architecture and built for the cloud. But what does that mean?

Artificial Intelligence 270

Artificial Intelligence Analytics Storage Architecture 270

All Things Distributed

DECEMBER 20, 2017

The benefit for customers: Authorized users can view this data and therefore manage their inventories across different sites, making the maintenance processes much more efficient. The end effect is that the complexity of the system increases, which is not efficient. Such a decentralized 'shadow IT' delivers no improvements.

Artificial Intelligence 79

Artificial Intelligence Social Media Logistics AWS 79

The Symphonia

JANUARY 21, 2019

we help people create a Continuous Deployment pipeline before they start getting into the nitty-gritty of Serverless Architecture. Think “GitHub Light”, useful if you want to keep your entire SDLC (Software Development LifeCycle) infrastructure in one AWS account. Which means your CD definitions themselves are version controlled.

AWS 40

AWS Open Source Lambda Serverless 40

Dynatrace

OCTOBER 4, 2022

While data lakes and data warehousing architectures are commonly used modes for storing and analyzing data, a data lakehouse is an efficient third way to store and analyze data that unifies the two architectures while preserving the benefits of both. This data lands in its original, raw form without requiring schema definition.

Artificial Intelligence 211

Artificial Intelligence Analytics Storage Government 211

The Netflix TechBlog

JULY 26, 2021

Netflix is known for its loosely coupled microservice architecture and with a global studio footprint, surfacing and connecting the data from microservices into a studio data catalog in real time has become more important than ever. The high level diagram below indicates the latest version of data movement for Operational Reporting.

Big Data 253

Big Data Government Analytics Processing 253

The Netflix TechBlog

JANUARY 10, 2024

Since then, the video pipeline has undergone substantial improvements and broad expansions: Starting with Standard Dynamic Range (SDR) at Standard-Definitions , we expanded the encoding pipeline to 4K and High Dynamic Range (HDR) which enabled support for our premium offering.

Processing 229

Processing Media Latency Innovation 229

Tasktop

MARCH 16, 2021

roles to build a solution for just one product value stream, as well as laying the architectural foundations to scale across multiple value streams in your portfolio. The ability to adapt and evolve as the definition of “normal” evolves as normalization can’t be hardcoded. Infrastructure Costs. Data architect.

Metrics 52

Metrics Healthcare Automotive Innovation 52

IO River

NOVEMBER 2, 2023

Now, with viewers all over the world expecting flawless and high-definition streaming, video providers have their work cut out for them. Delivering this kind of content reliably and quickly requires more than just a shoddy infrastructure, and this is where Content Delivery Networks (CDNs) come into play. The result?

Architecture 52

Architecture Performance Internet Internet 52

IO River

NOVEMBER 2, 2023

Now, with viewers all over the world expecting flawless and high-definition streaming, video providers have their work cut out for them. Delivering this kind of content reliably and quickly requires more than just a shoddy infrastructure, and this is where Content Delivery Networks (CDNs) come into play. The result?

Architecture 52

Architecture Performance Internet Internet 52

Tasktop

MARCH 16, 2021

roles to build a solution for just one product value stream, as well as laying the architectural foundations to scale across multiple value streams in your portfolio. The ability to adapt and evolve as the definition of “normal” evolves as normalization can’t be hardcoded. Infrastructure Costs. Data architect.

Metrics 40

Metrics Healthcare Automotive Innovation 40

High Scalability

OCTOBER 24, 2022

Cloud Infrastructure Services -- An analysis of potentially anti-competitive practices by Professor Frédéric Jenny. What some consider infrastructure or platform is just another cloud service. Each cloud-native evolution is about using the hardware more efficiently. A group advocating for fair licensing.

Cloud 187

Cloud Hardware Infrastructure Innovation 187

Dynatrace

OCTOBER 28, 2020

This means that your entire IT infrastructure can be monitored within minutes. The all-in-one Dynatrace platform delivers precise answers about the performance of your applications, their underlying infrastructure, and the experience of your end users. There’s a more efficient way with Dynatrace.

Monitoring 147

Monitoring Systems Infrastructure Cloud 147

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

The Netflix TechBlog

SEPTEMBER 13, 2021

Supporting developers through those checklists for edge cases, and then validating that each team’s choices resulted in an architecture with all the desired security properties, was similarly not scalable for our security engineers. You’ll hear from two teams here: first Application Security, and then Cloud Gateway. Specify a domain name?

Internet 220

Internet Internet Cloud Traffic 220

O'Reilly

OCTOBER 19, 2021

As with many burgeoning fields and disciplines, we don’t yet have a shared canonical infrastructure stack or best practices for developing and deploying data-intensive applications. What: The Modern Stack of ML Infrastructure. Adapted from the book Effective Data Science Infrastructure. Foundational Infrastructure Layers.

DevOps 138

DevOps Software Engineering Infrastructure Open Source 138

The Netflix TechBlog

JULY 12, 2019

The net result is, for many datasets, vastly more efficient use of RAM. and can achieve orders of magnitude more efficient data access, which opens up many possibilities. Old Gatekeeper Architecture This model had several problems associated with it: This process was completely I/O bound and put a lot of load on upstream systems.

Cache 183

Cache Architecture Latency Engineering 183

O'Reilly

MAY 19, 2020

O’Reilly Learning > We wanted to discover what our readers were doing with cloud, microservices, and other critical infrastructure and operations technologies. It is less concerned with formal definitions 2 and captures the point-in-time totality of cloud adoption. All told, we received 1,283 responses.

Cloud 141

Cloud Serverless AWS Architecture 141

Dynatrace

DECEMBER 20, 2019

For those AppMon customers who are still investigating the tremendous value that the Dynatrace software intelligence platform provides, consider the following excerpts from customers like you after making the switch from AppMon to Dynatrace: “As a large traditional bank, we have a real convoluted IT infrastructure.

Infrastructure 134

Infrastructure Government Cloud Monitoring 134

Smashing Magazine

JULY 18, 2022

If you think that static rendering is limited to generic, public content that is the same for every user of your website, you should definitely read this article. However, it’s not energy-efficient to render the article for each and every request. As a newly promoted “Head of Performance,” that’s definitely what you want!

Cache 114

Cache Website Energy Servers 114

Dynatrace

JUNE 1, 2021

.” The Gartner Magic Quadrant for Application Performance Monitoring , a leading industry report on APM, provides a clear definition of APM’s core capabilities as they have matured. Automatic discovery and mapping of application and its infrastructure components to maintain real-time awareness in dynamic environments.

Monitoring 148

Monitoring Mobile Social Media Artificial Intelligence 148

Dotcom-Montior

NOVEMBER 24, 2021

Gone are the days of monolithic architecture. By definition, a distributed system is any system that comprises of multiple components on variety of machines that work together to appear as a single, organized system. Today, there are a variety of architectures and systems in use. What is a Distributed System? Multi-Tier.

Systems 74

Systems Monitoring Hardware Network 74

All Things Distributed

JULY 20, 2015

Today, I want to explore the Amazon ECS architecture and what this architecture enables. This architecture affords Amazon ECS high availability, low latency, and high throughput because the data store is never pessimistically locked. task definition). Let’s talk about what Amazon ECS is actually doing.

Latency 166

Latency Architecture AWS Open Source 166

All Things Distributed

JULY 14, 2015

In this blog post, I will explain how these three new capabilities empower you to build applications with distributed systems architecture and create responsive, reliable, and high-performance applications using DynamoDB that work at any scale. The point-of-sales system records changes from all the purchases and stores them in DynamoDB.

Database 167

Database Lambda AWS IoT 167

Smashing Magazine

SEPTEMBER 24, 2021

Vercel and Netlify also use serverless functions for the Server Side Rendering, which is the most efficient way to scale out. is amazing, but there are definitely some challenges. It also contains infrastructure code, think of certain generic react hooks or GraphQL client code. Challenges. Developing with Next.js is a big step.

Website 113

Website Code Servers Analytics 113

Smashing Magazine

AUGUST 3, 2023

Core Web Vital metrics definitions. This is why the async and deferred attributes are crucial, as they ensure an efficient, seamless web browsing experience. I know that is a lot of information to unpack in a single sitting, and it definitely took our team time to wrap our minds around what it takes to achieve a low LCP score.

Performance 74

Performance Cache Traffic Metrics 74

High Scalability

FEBRUARY 19, 2021

As a basis for that discussion, first some definitions: Dependability The degree to which a product or service can be relied upon. Architectural approaches to achieve reliability. The following are two illustrations of the architectural approaches we adopt at Ably to make optimum use of redundancy within our message processing core.

Engineering 215

Engineering Systems Scalability Availability 215

O'Reilly Software

APRIL 4, 2018

Considerations for setting the architectural foundations for a fast data platform. Google was among the pioneers that created “web scale” architectures to analyze the massive data sets that resulted from “crawling” the web that gave birth to Apache Hadoop, MapReduce, and NoSQL databases. Back in the days of Web 1.0,

Architecture 80

Architecture Scalability Google Operating System 80

Alex Russell

JULY 14, 2021

I've got a long blog post brewing on this, but jumping to the end, an operable definition is: A browser is an application that can register with an OS to handle http and https navigations by default. Such enforcement is not challenging for Google, given its existing binary analysis infrastructure. "What, then, is a 'browser'?"

Google 121

Google Mobile Engineering Internet 121

Smashing Magazine

NOVEMBER 17, 2022

And while optimizing images is a must in any application, in the Jamstack ecosystem, it is even more paramount, considering that one of the main goals of the Jamstack architecture is to improve web performance. And you might ask, what do images have to do with this static site architecture? — Jamstack.org.

Media 105

Media Cache Website Mobile 105