CIO

AUGUST 5, 2022

Enterprises driving toward data-first modernization need to determine the optimal multicloud strategy, starting with which applications and data are best suited to migrate to cloud and what should remain in the core and at the edge. A hybrid approach is clearly established as the optimal operating model of choice.

Technical Review 242

Technical Review Quality Assurance Data Center Systems Review 242

CIO

MAY 12, 2023

And the results are truly multicloud, as Hannah has opted to work with all the top cloud vendors to fill the company’s various back-office needs — AWS, Microsoft Azure, Google Cloud Platform, and Oracle Cloud — as well as Workday for HR and other SaaS vendors for specific needs.

Strategy 244

Strategy Disaster Recovery Weak Development Team Cloud 244

TechCrunch

JUNE 9, 2022

While “multi-cloud” and “hybrid cloud” both refer to deployments with more than one cloud, they differ in the kinds of infrastructure involved. A hybrid cloud blends two or more different types of clouds (e.g., Amazon Web Services and Google Cloud Platform).

Disaster Recovery 254

Disaster Recovery Cloud Backup Data 254

Kentik

JUNE 27, 2023

Kentik customers move workloads to (and from) multiple clouds, integrate existing hybrid applications with new cloud services, migrate to Virtual WAN to secure private network traffic, and make on-premises data and applications redundant to multiple clouds – or cloud data and applications redundant to the data center.

Azure 105

Azure Cloud Load Balancer Firewall 105

Perficient

MAY 9, 2023

If done well, this is where your organization achieves true cloud maturity and is on its way to unlocking the incredible innovation possible with modern cloud, including data & analytics, AI / ML and automation – and lowering capital investments in data centers, support vendors and licensing commitments.

Enterprise 116

Enterprise Cloud Weak Development Team Quality Assurance 116

Protera

JULY 18, 2023

In our recent webcast Why Cloud? Adam spoke with the Director of Infrastructure for Protera client The Tile Shop , Eric Pawlowski, on how their move to the cloud has transformed their current business capabilities and plans for the future. more than once in recent years.

Cloud 40

Cloud Data Center Azure Agile 40

Hu's Place - HitachiVantara

NOVEMBER 11, 2018

Forbes believes it is an imperative for CIOs to view cloud computing as a critical element of their competitiveness. Cloud-based spending will reach 60% of all IT infrastructure and 60-70% of all software, services, and technology spending by 2020.

Cloud 78

Cloud Google Cloud Azure AWS 78

O'Reilly Media - Ideas

JUNE 4, 2019

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. Effective Data Center Design Techniques: Data Center Topologies and Control Planes , July 19. First Steps in Data Analysis , July 22.

Course 68

Course Training Artificial Inteligence Software Review 68

Saviynt

APRIL 9, 2019

By moving to the cloud, enterprises ease workload burdens, connect across Infrastructure-as-a-Service (IaaS), Platform-as-a-Service (PaaS) and Software-as-a-Service (SaaS) to enable business operations. Legacy IT infrastructures fail at securing data as organizations modernize their infrastructures.

Systems Review 51

Systems Review Security System Software Review 51

O'Reilly Media - Ideas

JUNE 5, 2019

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. Effective Data Center Design Techniques: Data Center Topologies and Control Planes , July 19. First Steps in Data Analysis , July 22.

Course 50

Course Training Artificial Inteligence Software Review 50

O'Reilly Media - Ideas

JUNE 11, 2019

Last year we began tracking startups building specialized hardware for deep learning and AI for training and inference as well as for use in edge devices and in data centers. We already have specialized hardware for inference (and even training—TPUs on the Google Cloud Platform).

Artificial Inteligence 107

Artificial Inteligence Tools Machine Learning Open Source 107

ParkMyCloud

FEBRUARY 7, 2019

Workfront is using ParkMyCloud as their go-to solution for cloud cost control, in addition to multi-cloud management and governance benefits they gain from using CloudHealth. In my cloud governance role I’m third down from the CTO, reporting to the infrastructure manager.

Development Team Review 47

Development Team Review Weak Development Team Cloud Data Center 47

Xebia

JANUARY 19, 2023

The following quotes date back to those years: Data Engineers set up and operate the organization’s data infrastructure, preparing it for further analysis by data analysts and scientist. – AltexSoft All the data processing is done in Big Data frameworks like MapReduce, Spark and Flink. Data disappears.

Data Engineering 130

Data Engineering Engineering Data Technical Review 130

Saviynt

APRIL 6, 2020

In addition to these challenges, SaaS platforms require access to cloud and data center resources. Utilize a platform that enables cloud, hybrid, and on-premise IT infrastructures that start in the cloud and enable full visibility into how and where users interact with data. . Here’s how.

Compliance 36

Compliance Healthcare Cloud Systems Review 36

StubHub

NOVEMBER 5, 2018

Move into the private cloud first in a familiar environment, then to a Google Cloud Platform (GCP) as experience is gained ? Using the Pivotal Cloud Foundry (PCF) platform as a service (PaaS) in private data center ? Reduce risk by delivering the platform and the first apps as demonstrations ?

Architecture 40

Architecture Weak Development Team SDLC Microservices 40

Hypergrid

NOVEMBER 15, 2018

AWS Lambda is the leading Serverless or Function-as-a-service (FaaS) service, and it gives amazing productivity and agility to developers without having to provision or monitoring any underlying infrastructure. Compliance analysis and remediation is difficult enough in traditional on-premise data center environments, let alone in the cloud.

Disaster Recovery 56

Disaster Recovery Cloud Lambda Azure 56

CIO

JUNE 20, 2023

Oracle on Tuesday said it is opening its EU Sovereign Cloud for enterprises and government bodies to help them meet evolving data residency and privacy regulations — such as the General Data Protection Regulation (GDPR) — while moving to the cloud. Cloud Computing, Data Center, Oracle

Meeting 130

Meeting Enterprise Cloud Disaster Recovery 130

OTS Solutions

APRIL 23, 2023

The purpose of cloud computing is to help businesses with the ‘pay as you use’ type of services. The three cloud computing models are software as a service, platform as a service, and infrastructure as a service. In cloud computing, your information is stored in the cloud. Do automation properly.

Cloud 130

Cloud Disaster Recovery Weak Development Team Firewall 130

CIO

JANUARY 26, 2023

Cost containment is a big issue for many CIOs now and the cloud companies know it. See Azure Cost Management , Google Cloud Cost Management , and AWS Cloud Financial Management tools for the big three clouds. Once your cloud commitment gets bigger, independent cost management tools start to become attractive.

Tools 290

Tools Cloud Artificial Inteligence Artificial Intelligence 290

DataRobot

JULY 21, 2022

Assess the infrastructure. Evaluate the computing resources and development environment that the data science team will need. Large projects or those involving text, images, or streaming data may need specialized infrastructure. Invest in solutions compatible with your cloud and on-premises requirements.

Machine Learning 98

Machine Learning Artificial Inteligence Development Team Review Software Review 98

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. The result?

Cloud 52

Cloud Testing Data Center Systems Review 52

d2iq

FEBRUARY 6, 2023

Kubernetes can run on a single cloud, on multiple clouds, on-premises, at the edge, or in hybrid environments. Most business and government organizations are seeking to modernize their infrastructures and gain agility by deploying Kubernetes. © Stockadrik via stock.adobe.com Powering the Next-Generation Air Force The U.S.

Blockchain 64

Blockchain Healthcare Artificial Inteligence Energy 64

Palo Alto Networks

NOVEMBER 5, 2019

From Next-Generation Firewalls protecting network segments in data centers to WildFire preventing zero-day exploits, and from cloud security with Prisma Cloud to the cutting edge of endpoint protection with Cortex XDR, we encounter and learn from it all. Everything is abstracted away up until the application code itself.

Serverless 8

Serverless Firewall Lambda Weak Development Team 8

Firemon

FEBRUARY 24, 2020

But if we’re being serious, there ’s some logic to letting security professional s see cloud instances as just another computer to be viewed as part of their growing network infrastructure. . We also know the public cloud is different when it comes to security.

Cloud 75

Cloud Policies Azure Data Center 75

O'Reilly Media - Ideas

MARCH 1, 2023

Those numbers don’t foreshadow a revolution—as we said at the outset, very few companies are going to take infrastructure written in Java and rewrite it in Go or Rust just so they can be trend compliant. As we all know, a lot of infrastructure is written in COBOL, and that isn’t going anywhere. Alternatives are emerging.

Trends 136

Trends Technical Review Technology Software Review 136

Kentik

AUGUST 20, 2020

As Kentik’s product manager for hybrid cloud, I am always talking to infrastructure and network teams around the world to understand a day-in-their-life. Go inside your cloud infrastructure to see how applications are communicating inside the cloud, to the internet, and your on-prem network.

Network 105

Network Cloud Data Center Infrastructure 105

O'Reilly Media - Ideas

NOVEMBER 28, 2023

Even with cloud-based foundation models like GPT-4, which eliminate the need to develop your own model or provide your own infrastructure, fine-tuning a model for any particular use case is still a major undertaking. of users) report that “infrastructure issues” are an issue. We’ll say more about this later.) Which Model?

Generative AI 121

Generative AI Enterprise ChatGPT Open Source 121

Cloudera

JANUARY 12, 2021

Cloudera provides its customers with a set of consistent solutions running on-premises and in the cloud to ensure customers are successful in their data journey for all of their use cases, regardless of where they are deployed. The importance of a hybrid cloud strategy. But what about the data? I loved the idea.

Cloud 52

Cloud Data Google Cloud Load Balancer 52

Perficient

MAY 11, 2023

Terraform is a popular infrastructure as code (IaC) tool that allows you to run code and deploy infrastructure across multiple cloud platforms. Terraform is a powerful tool for provisioning infrastructure, whether it’s in the cloud or on-premises.

Weak Development Team 69

Weak Development Team Azure Software Review DevOps 69

ParkMyCloud

APRIL 11, 2019

The leading cloud service providers have certain fortes and weaknesses that ultimately differentiate each one of them to be the potential solution to support your development infrastructure, operations and applications. Google is closing the gap on AWS as they were the first to cut prices in their pricing model to match AWS’.

Comparison 62

Comparison Azure Storage AWS 62

DataRobot

SEPTEMBER 6, 2022

Built as a multi-cloud platform, DataRobot AI Cloud enables organizations to run on a combination of public clouds, data centers, or at the edge, with governance to protect and secure your business. See DataRobot AI Cloud in Action. Request a Demo.

Artificial Inteligence 52

Artificial Inteligence Analytics Data Machine Learning 52

DataRobot

SEPTEMBER 14, 2021

AI Cloud is built for today’s multi-cloud environment giving you the flexibility to run on any combination of clouds, the data center and the edge – bringing AI with speed and performance wherever your data resides, at scale. Augmented Intelligence.

Cloud 52

Cloud Data Center Machine Learning Artificial Inteligence 52

DataRobot

SEPTEMBER 14, 2021

Now, data scientists , analytics experts , business users , and IT teams can collaborate in a single, unified platform. Now, all data from all sources can come together in a single system of record. Now, you can deploy AI anywhere, across multiple clouds, the data center, and the edge.

Data Center 52

Data Center Cloud Google Cloud Analytics 52

iTexico

SEPTEMBER 1, 2021

Used in reference to a variety of applications, including data storage, app downloading, or simply as a means to access the internet, colloquial uses of the Cloud have become integrated in regular vernacular. But what actually is the Cloud? Cloud Services Examples. When It Started.

Cloud 52

Cloud Real Estate Construction Infrastructure 52

Codegiant

JULY 2, 2020

Google Cloud Source Repositories With Google Cloud Source Repositories (a fantastic code repository tool), you can get started for free with a limit of 5 users and 50 GB of storage. The trial usage is kind of limited, and you might not have the chance to fully experience and try out Google Cloud Source Repositories.

Software Review 52

Software Review Open Source Systems Review AWS 52

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

Palo Alto Networks

JUNE 24, 2020

This is not surprising since the workloads that move to the cloud tend to be the most dynamic; cloud architectures are designed to be elastic and ephemeral; cloud technologies are still rapidly evolving; and the regulatory environments that govern cloud operations are still fluid. . This is clearly not sustainable.

Cloud 98

Cloud DevOps Survey Architecture 98