CIO

JUNE 16, 2023

As expected, operating in the cloud has enabled the 80-year-old company to significantly reduce the cost of running its data center in Minneapolis. Our cloud journey continues to mature,” says Vaughan, who decided to modernize 75% of MoneyGram’s microservices in Kubernetes but not all applications out of the gate.

Retail 148

Retail Microservices Analytics Cloud 148

James Shore

MAY 31, 2021

Netflix shut down their data centers and moved everything to the cloud! The quoted data was accessed on May 4th, 2021. Approximately the same thing again in a redundant data center (for disaster recovery). There’s no Kubernetes, no Docker, no microservices, no autoscaling, not even any cloud. Craver 2016].

System Architecture 94

System Architecture Architecture Systems Review System 94

AWS Machine Learning - AI

APRIL 11, 2024

The Amazon SageMaker integration with NVIDIA NIM inference microservices will help customers further optimize price-performance of foundation models running on GPUs. (To To learn more, see Optimize price-performance of LLM inference on NVIDIA GPUs using the Amazon SageMaker integration with NVIDIA NIM Microservices.)

Generative AI 134

Generative AI AWS Artificial Inteligence Innovation 134

CIO

DECEMBER 19, 2022

When we acquired DHFL, we had an on-prem data center that has been migrated to the cloud. We have mandated that any new microservices or applications will not be put into production if they are not pushing the required data elements into the data warehouse. How are you boosting the bottom line through technology?

Innovation 174

Innovation Artificial Inteligence Blockchain Machine Learning 174

CIO

JANUARY 26, 2023

The dashboard produces a collection of infographics that make it possible to study each microservice or API and determine just how much it costs to keep it running in times of high demand and low. Tracking the cost of instances and pods across your multiple clouds is part of this larger job.

Tools 174

Tools Cloud Artificial Inteligence Artificial Intelligence 174

Palo Alto Networks

FEBRUARY 19, 2021

. – Purpose-built security deployment: Increasing cloud adoption means that the DevOps and infrastructure teams are leveraging microservices for their cloud applications. Therefore, more entities within production and the application lifecycle need to be protected.

Enterprise 96

Enterprise Cloud Serverless Infrastructure 96

O'Reilly Media - Ideas

JUNE 4, 2019

Get hands-on training in Docker, microservices, cloud native, Python, machine learning, and many other topics. Understanding Data Science Algorithms in R: Regression , July 12. Cleaning Data at Scale , July 15. Scalable Data Science with Apache Hadoop and Spark , July 16. First Steps in Data Analysis , July 22.

Course 93

Course Training Artificial Inteligence Software Review 93

Mobilunity

DECEMBER 26, 2024

Utilize replication tools for data synchronization and give priority to essential business data for prompt migration to reduce disruptions. Think about refactoring to microservices or containerizing whenever feasible, to enhance performance in the cloud setting. Want to hire qualified devs? How to prevent it?

AWS 52

AWS Cloud Weak Development Team DevOps 52

Palo Alto Networks

DECEMBER 12, 2019

Containers, service meshes, microservices, immutable infrastructure and declarative APIs exemplify this approach. Cloud native fundamentally changes this equation by emphasizing a more integrated approach to building and running apps, enabled by modern tooling like containers and serverless that make this integration a practical reality.

Cloud 84

Cloud Serverless Lambda Weak Development Team 84

O'Reilly Media - Ideas

APRIL 13, 2023

Serverless APIs are the culmination of the cloud commoditizing the old hardware-based paradigm. This means making the hardware supply chain into a commodity if you make PCs, making PCs into commodities if you sell operating systems, and making servers a commodity by promoting serverless function execution if you sell cloud.

Technical Review 145

Technical Review Authentication Storage Serverless 145

Invid Group

FEBRUARY 28, 2023

The cloud has several advantages over conventional on-premise data centers, including access to scalable resources and the ability for businesses to develop, deploy, and manage their applications globally. Applications are divided into discrete, independent serverless computing functions, which are run just as needed.

Software Development 52

Software Development Software Review Trends Artificial Inteligence 52

Kentik

FEBRUARY 20, 2023

For example, a particular microservice might be hosted on AWS for better serverless performance but sends sampled data to a larger Azure data lake. The resulting network can be considered multi-cloud.

Network 97

Network Infrastructure Cloud Artificial Inteligence 97

O'Reilly Media - Ideas

JUNE 5, 2019

Get hands-on training in Docker, microservices, cloud native, Python, machine learning, and many other topics. Understanding Data Science Algorithms in R: Regression , July 12. Cleaning Data at Scale , July 15. Scalable Data Science with Apache Hadoop and Spark , July 16. First Steps in Data Analysis , July 22.

Course 66

Course Training Artificial Inteligence Software Review 66

ParkMyCloud

SEPTEMBER 24, 2019

Anthos is generally available on both Google Cloud Platform (GCP) with Google Kubernetes Engine (GKE) and data centers with GKE On-Prem. The capability to automate policy and security also works with their open-source independent service for microservices, Istio. So how does Google aim to deliver on the multi-cloud promise?

Google Cloud 10

Google Cloud Cloud Azure AWS 10

Altexsoft

FEBRUARY 24, 2023

Containers have become the preferred way to run microservices — independent, portable software components, each responsible for a specific business task (say, adding new items to a shopping cart). Modern apps include dozens to hundreds of individual modules running across multiple machines— for example, eBay uses nearly 1,000 microservices.

Weak Development Team 83

Weak Development Team Load Balancer Technical Review Microservices 83

RapidValue

MARCH 17, 2019

Despite the growth of cloud computing, many people will still have applications running on their own data centers. This is a service layer which handles inter-service communication between microservices. Momentum grows in serverless computing. Different providers offer different serverless features and security.

Trends 45

Trends Cloud Serverless Microservices 45

Kaseya

NOVEMBER 9, 2023

With the cloud, users and organizations can access the same files and applications from almost any device since the computing and storage take place on servers in a data center instead of locally on the user device or in-house servers.

Cloud 105

Cloud Disaster Recovery Infrastructure Artificial Inteligence 105

ParkMyCloud

MARCH 19, 2020

AWS Regions are the broadest geographic category that define the physical locations of AWS data centers. AWS offers Regions with a multiple AZ design – unlike other cloud providers who see a region as one single data center. . What are AWS Regions and How Many are There? . Amazon Simple Notification Service.

AWS 66

AWS Lambda Data Center Storage 66

ParkMyCloud

MARCH 21, 2019

While some listed seem to stretch the idea of an announcement – customer case studies, for example – others were more interesting, ranging from Google Cloud Functions (serverless) to Istio for microservices management to resource-based pricing. DevOps in a Serverless World. An Insider’s Look: Google’s Data Centers.

Google Cloud 44

Google Cloud Cloud Serverless Conference 44

Altexsoft

SEPTEMBER 30, 2022

The cloud-native approach offers the best features, such as service meshes, immutable infrastructure, declarative APIs , microservices and containers. Microservices. Microservices is considered an architectural strategy capable of managing complex applications simply. Key principles of cloud-native architecture.

Applications 52

Applications Cloud Software Review Microservices 52

Palo Alto Networks

NOVEMBER 12, 2019

Security analytics: Along with security governance and compliance assurance, Prisma Cloud integrates with VPC flow logs to provide useful insight into east-west and north-south traffic flows by correlating data with various security intelligence sources. Twistlock automatically learns normal app behaviors and prevents anything abnormal.

Google Cloud 8

Google Cloud Cloud Firewall Load Balancer 8

Hu's Place - HitachiVantara

FEBRUARY 15, 2019

Cloud Changes in 2019 While lift and shift application migrations to clouds will continue in 2019, more applications will be modernized to take advantage of the new capabilities of containers, serverless, FPGAs, and other forms of computing.

Cloud 49

Cloud AWS Open Source Data Center 49

RapidValue

FEBRUARY 8, 2021

Introduced during Andy Jassy’s keynote address, Amazon ECS and EKS Anywhere enable users to run ECS and EKS in their own data centers. AWS Proton is another exciting service that helps manage and automate code deployments and infrastructure provisioning for applications that are serverless and container-based. AWS Proton.

AWS 52

AWS Serverless Open Source Machine Learning 52

taos

OCTOBER 15, 2019

This is common in traditional data centers as well as in private clouds. These can be anything from individual microservices to front-end web applications. Take a simplified view of a modern componentized system, perhaps one built on the principles of a microservice architecture as depicted below. Hardware ?—?The

Metrics 40

Metrics Architecture Hardware Systems Review 40

taos

JUNE 1, 2017

This is common in traditional data centers as well as in private clouds. Application/Services – These can be anything from individual microservices to front-end web applications. Take a simplified view of a modern componentized system, perhaps one built on the principles of a microservice architecture as depicted below.

Metrics 40

Metrics Hardware Architecture Systems Review 40

Altexsoft

OCTOBER 21, 2022

process data in real time and run streaming analytics. Its very architecture is centered around the idea of painless expansion the moment your business needs it. A single cluster can span across multiple data centers and cloud facilities. The Good and the Bad of Serverless Architecture.

Weak Development Team 93

Weak Development Team Technical Review Systems Review Open Source 93

Capgemini

MARCH 25, 2020

They retain the familiarity and functionality of the original application while reducing their data-center footprint and networking, compute, and storage costs. When rearchitecting, applications transform from monolithic to microservices-based architectures. Now, let’s focus on application modernization. Why rearchitect?

Architecture 40

Architecture Weak Development Team Handbook Operating System 40

Daniel Bryant

DECEMBER 3, 2019

link]  —  @brianguy_cloud Although the cloud vendors were largely talking about extending the private data center into the cloud (and vice versa) via the compute abstraction?—?e.g. The key concept is that as a microservice-based system grows, it does so primarily by the addition of more services.

Technical Review 10

Technical Review Microservices Software Review Cloud 10

Altexsoft

JULY 4, 2022

An infrastructure engineer is a person who designs, builds, coordinates, and maintains the IT environment companies need to run internal operations, collect data, develop and launch digital products, support their online stores, and achieve other business objectives. Key components of IT infrastructure. other members of the IT team.

Infrastructure 64

Infrastructure Engineering Technical Review Google Cloud 64

Altexsoft

DECEMBER 14, 2022

delivering microservice-based and cloud-native applications; standardized continuous integration and delivery ( CI/CD ) processes for applications; isolation of multiple parallel applications on a host system; faster application development; software migration; and. The Good and the Bad of Serverless Architecture. Deployment speed.

Weak Development Team 52

Weak Development Team Linux Operating System Virtualization 52

Daniel Bryant

NOVEMBER 25, 2019

For example, there were products providing: control planes (for cloud, networking, storage, security etc); continuous delivery pipelines; observability suites (with some focusing on the elusive “single pane of glass”); serverless platforms; machine learning pipelines; and more.

Cloud 10

Cloud IoT Conference Network 10

O'Reilly Media - Ideas

JANUARY 14, 2025

Microservices declined 24%, though content use is still substantial. Domain-Driven Design, which is an excellent skill for designing with microservices, is down 22%. By the time you reach that stage, youll have a better feel for what microservices need to be broken out from the monolith. Whats happening?

Trends 131

Trends Technology Security Artificial Inteligence 131

Existek

JANUARY 11, 2022

Along with meeting customer needs for computing and storage, they continued extending services by presenting products dealing with analytics, Big Data, and IoT. The next big step in advancing Azure was introducing the container strategy, as containers and microservices took the industry to a new level.

Azure 52

Azure AWS Cloud How To 52

O'Reilly Media - Ideas

MARCH 1, 2023

Year-over-year growth for software development topics Software architecture Software architecture is a very broad category that encompasses everything from design patterns (which we also saw under software development) to relatively trendy topics like serverless and event-driven architecture. Have microservices reached a peak?

Trends 144

Trends Technical Review Technology Software Review 144

CIO

JUNE 13, 2023

Some of the newer architectures such as microservices and serverless designs offer better protections but often come with troubles of their own. Developers are re-evaluating their microservice and massive monolayers with an eye toward understanding how and when they collapse.

Innovation 218

Innovation Artificial Inteligence Weak Development Team Airlines 218

O'Reilly Media - Ideas

JANUARY 25, 2021

We’ll be working with microservices and serverless/functions-as-a-service in the cloud for a long time–and these are inherently concurrent systems. Cloud computing has replaced data centers, colocation facilities, and in-house machine rooms. serverless, a.k.a. Serverless (a.k.a. FaaS, a.k.a.

Programming 145

Programming Cloud Artificial Inteligence Machine Learning 145