CIO

APRIL 24, 2023

To that end, University of California, Riverside has launched an ambitious cloud transformation to shift from a small on-premises data center to an advanced research platform powered by Google Cloud Platform and its various service offerings. Cloud Computing, Education Industry, High-Performance Computing

Research 130

Research Cloud Fractional CTO Data Center 130

Presidio

JULY 13, 2018

It allows customers to purchase a per-user licensing model, to be used on-prem or in the cloud, making decisions on a per-user basis, migrating to the cloud at their own speed. Google Cloud takes center stage. complements Google and Cisco’s hybrid cloud architecture. HyperFlex 3.5 HyperFlex 3.5

Google Cloud 57

Google Cloud Cloud Data Center Network 57

Datavail

DECEMBER 5, 2023

Oracle’s Enhanced Cloud Infrastructure Ellison commenced by emphasizing Oracle’s unwavering commitment to cloud infrastructure. This approach reassures customers about the safety of their data and operations in Oracle’s cloud environment.

Artificial Inteligence 88

Artificial Inteligence Healthcare Innovation Conference 88

OTS Solutions

FEBRUARY 16, 2023

It consists of a separate set of servers. The network works between the front end and back end, acting as a medium between users and clouds. The operations in cloud computing are performed by central servers as per the given set of instructions called protocols. Data security concerns are always there.

Cloud 130

Cloud Artificial Inteligence Disaster Recovery Internet 130

Apiumhub

MARCH 12, 2024

The Evolution of Cloud Computing Trends Edge Computing Redefining Latency Edge computing is poised to revolutionize cloud architecture by decentralizing computing power. Rather than relying solely on centralized data centers, edge computing distributes computational processes closer to the source of data generation.

Trends 52

Trends Innovation Cloud Serverless 52

Openxcell

NOVEMBER 27, 2023

The goal of cloud migration is to reduce computing costs, increase capabilities, introduce new technology regularly, and scale endlessly. With a move to the cloud, you can eliminate the need to hire talented technologists to perform repetitive work to keep hardware, databases, and applications running.

Strategy 52

Strategy Tools Cloud Disaster Recovery 52

Protera

JULY 18, 2023

Aging On-Premise Data Center As Gartner predicted a few years ago, the data center is (almost) dead—80% of organizations will have closed their traditional data centers by 2025 in favor of cloud operations.

Cloud 40

Cloud Data Center Azure Agile 40

Kentik

AUGUST 20, 2020

Undermining this scalability were network overlays that enable connectivity while obscuring details necessary for effective troubleshooting. They have been left with gaping holes in visibility, preventing them from holistically understanding topology state, traffic flows, network performance and device health status.

Network 105

Network Cloud Data Center Infrastructure 105

OTS Solutions

APRIL 23, 2023

Hybrid cloud infrastructure is a combination of on-premises and public and private cloud infrastructure. It comes with greater scalability, control, and customization. Community cloud A community cloud is a cloud that can be used by multiple organizations at a time.

Cloud 130

Cloud Disaster Recovery Weak Development Team Firewall 130

Mobilunity

JUNE 30, 2021

Cloud migration refers to the process of moving tools (as well as data, workloads, applications, IT resources, etc.) to the cloud infrastructure. Usually, it is the migration process from an on-premises data center or an old legacy infrastructure to the cloud, but it also can mean cloud to cloud migration.

Cloud 52

Cloud Google Cloud Disaster Recovery Azure 52

ParkMyCloud

APRIL 11, 2019

They are well known for attracting more businesses, and in turn, they invest their money back into the cloud by adding more servers to their data centers. Google is closing the gap on AWS as they were the first to cut prices in their pricing model to match AWS’. Google Cloud Storage. Cloud Filestore.

Comparison 62

Comparison Azure Storage AWS 62

d2iq

FEBRUARY 6, 2023

Computational workflows for CT, MRI, and ultrasound data leverage Docker and Kubernetes to orchestrate medical image workflows and connect to picture archiving and communications systems (PACs) or scale medical instrument applications. A similar report describes how Kubernetes can help reduce an organization's carbon footprint.

Blockchain 64

Blockchain Healthcare Artificial Inteligence Energy 64

Xebia

JANUARY 19, 2023

The best data engineers view their responsibilities through business and technical lenses. Building architectures that optimize performance and cost at a high level is no longer enough. A data engineer should: Know how to communicate with non-technical and technical people. Architect for scalability. Plan for failure.

Data Engineering 130

Data Engineering Engineering Data Technical Review 130

Mobilunity

NOVEMBER 17, 2021

A Platform as a Service provider manages the storage, servers, networking resources and data centers. Let’s take a look at the different Platform as a Service solutions providers, PaaS examples, and the functionality they include: Google Cloud. Infrastructure. Middleware. Development tools. >>> Red Hat.

Software Review 52

Software Review How To Systems Review Google Cloud 52

Altexsoft

JULY 1, 2021

Most cloud offerings are platforms, so it may seem redundant to refer to a product as “platform as a service” (PaaS). However, PaaS solutions perform a specific function, allowing organizations to build, deploy, and maintain their software in the cloud. IBM Watson offers a range of AI tools to help manage large amounts of data.

Artificial Inteligence 59

Artificial Inteligence Azure Software Review Google Cloud 59

Bernd Rucker

JUNE 28, 2022

Using this technology, organizations can build resilient systems that can withstand disasters in the form of a complete data center outage. But before talking about multi-regions and performance, let’s disassemble this fascinating topic step-by-step in today’s blog post. This is called a passive backup.

Data Center 52

Data Center How To Examples Cloud 52

Kaseya

SEPTEMBER 14, 2022

What is cloud migration? Cloud migration refers to moving company data, applications and other IT resources from on-premises data centers and servers to the cloud. Easy scalability. Cloud services offer high scalability and availability to their users. Boosted performance.

Strategy 59

Strategy Cloud Software Review Technical Review 59

O'Reilly Media - Ideas

DECEMBER 7, 2021

In every industry, at least 75% of the respondents work for organizations using the cloud. Amazon Web Services (AWS) (62%), Microsoft Azure (48%), and Google Cloud (33%) are still the big three, though Amazon’s market share has dropped slightly since last year (down from 67%). Most respondents use multiple cloud providers.

Cloud 135

Cloud eCommerce Azure Google Cloud 135

O'Reilly Media - Ideas

JUNE 4, 2019

Ken Blanchard on Leading at a Higher Level: 4 Keys to Creating a High Performing Organization , June 13. Performance Goals for Growth , July 31. Spotlight on Cloud: Mitigating Cloud Complexity to Ensure Your Organization Thrives with David Linthicum , August 1. Cleaning Data at Scale , July 15.

Course 65

Course Training Artificial Inteligence Software Review 65

Altexsoft

DECEMBER 4, 2020

Among cons of the do-it-yourself approach is the need for coding skills, extra time your engineers have to spend on scripting, and scalability issues. Use cases: data migration within an enterprise network, on-premise mergers and acquisitions. Besides, this type of software has limited scalability compared to cloud solutions.

Software Review 69

Software Review Software Data Technical Review 69

Altexsoft

OCTOBER 21, 2022

Apache Kafka is an open-source, distributed streaming platform for messaging, storing, processing, and integrating large data volumes in real time. It offers high throughput, low latency, and scalability that meets the requirements of Big Data. Scalability. Scalability is one of Kafka’s key selling points.

Weak Development Team 93

Weak Development Team Technical Review Systems Review Software Review 93

Protera

MAY 23, 2023

The public cloud is the future of business — Gartner reports that by 2025 more than 95% of new digital workloads will be cloud native, and 80% of companies say that they will close their on-premise data centers by the same year (compared to only 10% in 2020). But not as many are doing it successfully.

Cloud 52

Cloud Testing Data Center Systems Review 52

Cloudera

SEPTEMBER 30, 2022

With DFF, users now have the choice of deploying NiFi flows not only as long-running auto scaling Kubernetes clusters but also as functions on cloud providers’ serverless compute services including AWS Lambda, Azure Functions, and Google Cloud Functions. near real-time offloading of files from a remote SFTP server).

Serverless 73

Serverless Microservices Lambda IoT 73

Mobilunity

MAY 20, 2021

As mentioned before, there are different cloud providers with their specific platforms. It means that a Google cloud certified associate cloud engineer can work with GCP but probably won’t be any good with AWS or Azure. Businesses can hire an AWS cloud engineer to work with a wide set of tools. Amazon AWS.

Engineering 52

Engineering Cloud Google Cloud Azure 52

O'Reilly Media - Ideas

JUNE 5, 2019

Ken Blanchard on Leading at a Higher Level: 4 Keys to Creating a High Performing Organization , June 13. Performance Goals for Growth , July 31. Spotlight on Cloud: Mitigating Cloud Complexity to Ensure Your Organization Thrives with David Linthicum , August 1. Cleaning Data at Scale , July 15.

Course 49

Course Training Artificial Inteligence Software Review 49

Altexsoft

APRIL 26, 2022

Not long ago setting up a data warehouse — a central information repository enabling business intelligence and analytics — meant purchasing expensive, purpose-built hardware appliances and running a local data center. This demand gave birth to cloud data warehouses that offer flexibility, scalability, and high performance.

Weak Development Team 59

Weak Development Team Data Storage Technical Review 59

Kentik

MAY 14, 2019

Lack of a holistic view across multiple cloud providers and the organization’s on-prem infrastructure. For example, you cannot use AWS CloudWatch to monitor GCP’s network statistics and/or your on-prem data centers. Kentik is on a fast and firm pace to expand cloud visibility for on-prem to public clouds.

Cloud 103

Cloud Azure How To AWS 103

Kentik

OCTOBER 31, 2018

So in the spirit of Halloween, we wanted to break down two of the spookiest (or at least the most common) cloud myths we’ve heard of late. From there, we hope to help you remove the mystery of maintaining visibility, performance, and security — no matter where you are in your cloud journey. If you have a hybrid cloud (e.g.

Cloud 45

Cloud AWS Azure Google Cloud 45

Trigent

APRIL 7, 2022

From client-server to servers in internet data centers to cloud computing and now ….serverless. Cloud computing enabled establishments to move their infrastructure from Capex to Opex, where companies could now hire their infrastructure instead of investing in expensive hardware and software. serverless.

Serverless 52

Serverless Cloud Architecture Software Review 52

Altexsoft

SEPTEMBER 6, 2023

Established best practices, encompassing secure coding, rigorous access controls, data encryption techniques, comprehensive monitoring of serverless applications , and the integration of third-party security tools. The three primary benefits, however, include: Scalability. On one side, it improves performance by reusing resources.

Serverless 52

Serverless Applications Cloud AWS 52

Strategy Driven

MAY 30, 2020

Moving your IT functions to the cloud has a number of benefits: Cost reduction. Scalability. The most well-known cloud providers include Microsoft Azure, AWS, and Google Cloud. The type of contract chosen depends on the storage and performance needs of the company. Scalability. Unlimited storage.

Cloud 30

Cloud Disaster Recovery Backup Systems Review 30

Existek

JANUARY 19, 2022

Cloud migration techniques involve leveraging cutting-edge technologies and the latest approaches on the market. It’s all about building great infrastructures that support business performance, efficient resource usage, improved management, etc. High scalability and flexibility. Improved performance and productivity.

Strategy 52

Strategy Cloud Azure Google Cloud 52

Mobilunity

JULY 5, 2021

Cloud services’ popularity grows daily, and end-user spending on public cloud platforms is expected to reach $397 billion by 2022. Using a cloud is cheaper, more flexible, and accessible than building a data center on-premise. 10 Benefits of Managed Cloud Service. Difference Between Cloud Management Options.

Cloud 52

Cloud Comparison Azure AWS 52

Tenable

NOVEMBER 29, 2022

While cloud computing providers such as Amazon Web Services (AWS), Google Cloud Platform (GCP) and Microsoft Azure offer robust and scalable services, securing your cloud environment brings its own unique challenges. Data exposure and cloud resource misconfigurations.

Applications 52

Applications Cloud Software Review Systems Review 52

Xicom

JUNE 18, 2020

Now that’s where your app scalability is the biggest issue that restricts users to access your app smoothly! Don’t worry this post will help you understand everything right from what is application scalability to how to scale up your app to handle more than a million users. What is App Scalability?

SOA 52

SOA How To AWS Technical Advisors 52

O'Reilly Media - Ideas

MARCH 1, 2023

Decomposing a complex monolith into a complex set of microservices is a challenging task and certainly one that can’t be underestimated: developers are trading one kind of complexity for another in the hope of achieving increased flexibility and scalability long-term. And cloud computing generates its own problems.

Trends 134

Trends Technical Review Technology Software Review 134

Altexsoft

JUNE 25, 2019

A regular database normalizes data excluding any data redundancies and separating related data into tables. This takes up a lot of computing resources, as a single query combines data from many tables. Contrarily, a DW uses simple queries with few tables to improve performance and analytics.

Data Engineering 106

Data Engineering Engineering Data Artificial Inteligence 106