Dynatrace

AUGUST 17, 2021

This method of structuring, developing, and operating complex, multi-function software as a collection of smaller independent services is known as microservice architecture. ” it helps to understand the monolithic architectures that preceded them. Understanding monolithic architectures. Microservices benefits.

Architecture 246

Architecture Software Software Development 246

Dynatrace

AUGUST 17, 2021

This method of structuring, developing, and operating complex, multi-function software as a collection of smaller independent services is known as microservice architecture. ” it helps to understand the monolithic architectures that preceded them. Understanding monolithic architectures. Microservices benefits.

Architecture 244

Architecture Software Software Development 244

Dynatrace

JULY 7, 2022

Many organizations are taking a microservices approach to IT architecture. However, in some cases, an organization may be better suited to another architecture approach. Therefore, it’s critical to weigh the advantages of microservices against its potential issues, other architecture approaches, and your unique business needs.

Architecture 200

Architecture Serverless Azure Programming 200

Scalegrid

MARCH 14, 2024

The architecture usually integrates several private, public, and on-premises infrastructures. Key Components of Hybrid Cloud Infrastructure A hybrid cloud architecture usually merges a public Infrastructure-as-a-Service (IaaS) platform with private computing assets and incorporates tools to manage these combined environments.

Strategy 130

Strategy Cloud Artificial Intelligence Infrastructure 130

Dynatrace

JUNE 29, 2022

To drive better outcomes using hybrid cloud architectures, it helps to understand their benefits—and how to orchestrate them seamlessly. What is hybrid cloud architecture? Hybrid cloud architecture is a computing environment that shares data and applications on a combination of public clouds and on-premises private clouds.

Infrastructure 182

Infrastructure Cloud Azure AWS 182

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 is simply not possible with conventional architectures. Data management.

Artificial Intelligence 209

Artificial Intelligence Storage Analytics Government 209

Scalegrid

MAY 13, 2020

In this blog post, we explain what Greenplum is, and break down the Greenplum architecture, advantages, major use cases, and how to get started. It’s architecture was specially designed to manage large-scale data warehouses and business intelligence workloads by giving you the ability to spread your data out across a multitude of servers.

Big Data 321

Big Data Database Artificial Intelligence Open Source 321

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. On average, you will need at least nine full-time(!) Moving from Project to Product with Flow Metrics – What Are They and Why Should You Care?

Metrics 52

Metrics Healthcare Automotive Innovation 52

Dynatrace

NOVEMBER 20, 2023

Across the cloud operations lifecycle, especially in organizations operating at enterprise scale, the sheer volume of cloud-native services and dynamic architectures generate a massive amount of data. In general, generative AI can empower AWS users to further accelerate and optimize their cloud journeys. What is artificial intelligence?

AWS 209

AWS Artificial Intelligence Analytics Cloud 209

Dynatrace

FEBRUARY 12, 2024

The whole organization benefits from consistency and governance across teams, projects, and throughout all stages of the development process. So, they see clusters, pods, and workloads for up to hundreds of Kubernetes clusters across AWS, Azure, and GCP—right within the new Kubernetes app.”

Engineering 182

Engineering Development Infrastructure Cloud 182

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. On average, you will need at least nine full-time(!) Get Software Delivery trends and insights in your inbox.

Metrics 40

Metrics Healthcare Automotive Innovation 40

Dynatrace

NOVEMBER 17, 2020

The rapidly evolving digital landscape is one important factor in the acceleration of such transformations – microservices architectures, service mesh, Kubernetes, Functions as a Service (FaaS), and other technologies now enable teams to innovate much faster. New cloud-native technologies make observability more important than ever….

Analytics 156

Analytics Technology Technology Cloud 156

Dynatrace

APRIL 22, 2022

“Dynatrace is enterprise-ready, including automated deployment and support for the latest cloud-native architectures with role-based governance,” Nalezi?ski ski explains. American Family turned to observability for cloud operations. Step 3: Create a single workflow for unified event management.

Cloud 168

Cloud Lambda Serverless AWS 168

Abhishek Tiwari

NOVEMBER 3, 2018

When it comes to innovation, most of CMS solutions are constrained by their legacy architecture (read strong coupling between content management and content presentation) which makes it difficult to serve content to new types of emerging channels such as apps and devices. Nonetheless, for static sites and JAMstack, CDN is essential.

Systems 63

Systems Cache Website Network 63

High Scalability

SEPTEMBER 28, 2018

Martin Sústrik : Philosophers, by and large, tend to be architecture astronauts. Programmers' insight is that architecture astronauts fail. . $2 billion : Pokémon GO revenue since launch; 10 : say happy birthday to StackOverflow; $148 million : Uber data breach fine; 75% : streaming music industry revenue in the US; 5.2

Internet 35

Internet Internet Scalability Blockchain 35

High Scalability

NOVEMBER 25, 2019

Egnyte is a secure Content Collaboration and Data Governance platform, founded in 2007 when Google drive wasn't born and AWS S3 was cost-prohibitive. Over time, costs for S3 and GCS became reasonable and with Egnyte’s storage plugin architecture, our customers can now bring in any storage backend of their choice. Cloud Platform.

Architecture 52

Architecture Cache Azure Storage 52