CIO

AUGUST 31, 2022

The US financial services industry has fully embraced a move to the cloud, driving a demand for tech skills such as AWS and automation, as well as Python for data analytics, Java for developing consumer-facing apps, and SQL for database work. Software engineer. Full-stack software engineer. Back-end software engineer.

Software Engineering 246

Software Engineering Data Engineering DevOps AWS 246

Cloudera

NOVEMBER 16, 2021

With the general availability of Cloudera DataFlow for the Public Cloud (CDF-PC) , our customers can now self-serve deployments of Apache NiFi data flows on Kubernetes clusters in a cost effective way providing auto scaling, resource isolation and monitoring with KPI-based alerting. Introduction. Functions as a Service.

Serverless 105

Serverless Lambda Microservices KPI 105

Cloudera

JUNE 2, 2022

Since 2015, the Cloudera DataFlow team has been helping the largest enterprise organizations in the world adopt Apache NiFi as their enterprise standard data movement tool. This need has generated a market opportunity for a universal data distribution service. Why does every organization need it when using a modern data stack?

System 99

System Enterprise Data Cloud 99

Cloudera

SEPTEMBER 30, 2022

Cloudera DataFlow for the Public Cloud (CDF-PC) is a cloud-native service for Apache NiFi within the Cloudera Data Platform (CDP). New use cases: event-driven, batch, and microservices. However, customers also have a class of use cases that do not require always running NiFi flows.

Serverless 72

Serverless Microservices Lambda IoT 72

O'Reilly Media - Ideas

JUNE 4, 2019

Get hands-on training in Docker, microservices, cloud native, Python, machine learning, and many other topics. AI-driven Future State Cloud Operations , June 7. Fundamentals of Machine Learning and Data Analytics , July 10-11. Spotlight on Data: Data Storytelling with Mico Yuk , July 15. Getting S.M.A.R.T

Course 69

Course Training Artificial Inteligence Software Review 69

Confluent

FEBRUARY 6, 2019

Building a scalable, reliable and performant machine learning (ML) infrastructure is not easy. It allows real-time data ingestion, processing, model deployment and monitoring in a reliable and scalable way. It allows real-time data ingestion, processing, model deployment and monitoring in a reliable and scalable way.

Machine Learning 106

Machine Learning Artificial Inteligence Scalability Data Engineering 106

Altexsoft

JUNE 29, 2021

It is common in designing apps that rely on microservices (when every service runs its own process.). The key point here is that pub/sub enables computers to communicate and react to data updates as they occur. Scalability. The service captures such data as the user’s name, current location, contact info, etc.,

Architecture 75

Architecture Microservices IoT Scalability 75

O'Reilly Media - Ideas

JUNE 5, 2019

Get hands-on training in Docker, microservices, cloud native, Python, machine learning, and many other topics. AI-driven Future State Cloud Operations , June 7. Fundamentals of Machine Learning and Data Analytics , July 10-11. Spotlight on Data: Data Storytelling with Mico Yuk , July 15. Getting S.M.A.R.T

Course 51

Course Training Artificial Inteligence Software Review 51

O'Reilly Media - Ideas

JANUARY 2, 2019

Essential Machine Learning and Exploratory Data Analysis with Python and Jupyter Notebook , January 7-8. Protecting Data Privacy in a Machine Learning World , January 31. What You Need to Know About Data Science , February 4. Developing a Data Science Project , February 11. Data science and data tools.

Course 60

Course Artificial Inteligence Training Blockchain 60

Openxcell

NOVEMBER 27, 2023

A cloud migration involves moving an organization’s digital assets, IT resources, services, databases, and applications from an on-premises legacy infrastructure into a public cloud hyperscale environment such as AWS, GCP, or Azure. Data migration involves moving both data and analytics workloads.

Strategy 52

Strategy Tools Cloud Disaster Recovery 52

O'Reilly Media - Ideas

APRIL 3, 2019

TensorFlow Extended: Data Validation and Transform , May 16. Essential Machine Learning and Exploratory Data Analysis with Python and Jupyter Notebook , May 28-29. Spotlight on Cloud: The Future of Internet Security with Bruce Schneier , April 4. Introduction to Google Cloud Platform , June 3-4. Programming.

Course 49

Course Artificial Inteligence Training Google Cloud 49

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. Insecure APIs.

Applications 52

Applications Cloud Software Review Systems Review 52

OTS Solutions

SEPTEMBER 5, 2023

The cloud environment lends itself well to Agile management, as it enables easy scalability and flexibility, providing a perfect platform for collaboration, automation, and seamless integration of development, testing, deployment, and monitoring processes. One of the key benefits is increased speed and agility.

DevOps 130

DevOps Cloud Software Review Weak Development Team 130

Capgemini

FEBRUARY 3, 2023

‘CAPGEMINI EARTHLINGS ECOPRENEUR’ PLATFORM EMPOWERs EMPLOYEES TOWARDS REACHING NET ZERO GOALS- POWERED BY GOOGLE CLOUD Tamalika Chakraborty/ Shoubhik Ghosh/ Debasish Rakshit 3 Feb 2023 Facebook Twitter Linkedin Capgemini is committed to be carbon neutral for its own operations and be a net zero business by 2030.

Google Cloud 52

Google Cloud .Net KPI Cloud 52

Palo Alto Networks

JUNE 4, 2019

In this post, guest bloggers Vineet Bhan, Sheba Roy and Ashish Verma of Google Cloud share a closer look at product integrations between Google Cloud and Palo Alto Networks. Security for hybrid containerized workloads: Anthos (formerly Cloud Services Platform) lets you build and manage modern hybrid applications.

Google Cloud 48

Google Cloud Network Cloud Load Balancer 48

Palo Alto Networks

JUNE 4, 2019

In this post, guest bloggers Vineet Bhan, Sheba Roy and Ashish Verma of Google Cloud share a closer look at product integrations between Google Cloud and Palo Alto Networks. Security for hybrid containerized workloads: Anthos (formerly Cloud Services Platform) lets you build and manage modern hybrid applications.

Google Cloud 40

Google Cloud Network Cloud Load Balancer 40

O'Reilly Media - Ideas

FEBRUARY 6, 2019

Get hands-on training in machine learning, microservices, blockchain, Python, Java, and many other topics. TensorFlow Extended: Data Validation and Transform , March 14. Data science and data tools. Business Data Analytics Using Python , February 27. Cleaning Data at Scale , March 19. Mastering C# 8.0

Artificial Inteligence 12

Artificial Inteligence Course Training Artificial Intelligence 12

O'Reilly Media - Ideas

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. Why: Data Makes It Different. Not only is data larger, but models—deep learning models in particular—are much larger than before.

DevOps 143

DevOps Data Software Review Technical Advisors 143

Exadel

DECEMBER 4, 2019

CrossKube is a packaged solution that gives organizations the ability to deploy everything that is needed for a highly scalable, cloud-based application, including application best-practice templates for Kubernetes, microservices, containerization, application discovery, database connectivity, front-end application structure and automated testing.

Software Review 10

Software Review Blockchain Open Source Technical Review 10

TechCrunch

DECEMBER 13, 2022

An open source package that grew into a distributed platform, Ngrok aims to collapse various networking technologies into a unified layer, letting developers deliver apps the same way regardless of whether they’re deployed to the public cloud, serverless platforms, their own data center or internet of things devices.

Firewall 240

Firewall Serverless Load Balancer Internet 240

Trigent

MARCH 29, 2023

This allows InsurTechs to take advantage of additional data available with the distribution partner to personalize the coverage and premiums. Microservices, containers, and other serverless technologies enable insurers to easily update and maintain their systems and quickly respond to changes in the market.

Insurance 95

Insurance Strategy Serverless Big Data 95

O'Reilly Media - Ideas

MARCH 1, 2023

Our data shows us what O’Reilly’s 2.8 Software development is followed by IT operations (18%), which includes cloud, and by data (17%), which includes machine learning and artificial intelligence. That’s a surprise, particularly since the operations world is still coming to terms with cloud computing.

Trends 137

Trends Technical Review Technology Software Review 137

Perficient

JULY 20, 2023

Introduction In recent years, cloud computing has revolutionized the way businesses manage their IT infrastructure. It offers unparalleled scalability, flexibility, and cost-effectiveness. However, with the convenience of the cloud also comes the challenge of optimizing cloud costs.

Cloud 52

Cloud Strategy Weak Development Team Load Balancer 52

Prisma Clud

JUNE 20, 2023

This transformative era presents incredible opportunities for organizations to unlock their potential and reap the benefits of scalability, flexibility and enhanced security. 3 Foundational Takeaways Let's explore three vital learnings that have emerged in this dynamic landscape, shaping the way organizations approach cloud security.

Cloud 105

Cloud Development Team Review Serverless Linux 105

Altexsoft

JULY 19, 2022

In the last few decades, we’ve seen a lot of architectural approaches to building data pipelines , changing one another and promising better and easier ways of deriving insights from information. There have been relational databases, data warehouses, data lakes, and even a combination of the latter two. What is a data mesh?

Architecture 52

Architecture Data Analytics Data Engineering 52

Confluent

MAY 22, 2019

The explosive number of devices generating, tracking and sharing data across a variety of networks is overwhelming to most data management solutions. This growth depends greatly on the overall reliability and scalability of IoT deployments. Will you be capturing that data in real time or in batches? trillion by 2024.

IoT 95

IoT Google Cloud Scalability Microservices 95

Sunflower Lab

MARCH 29, 2018

Understand the pros and cons of monolithic and microservices architectures and when they should be used – Why microservices development is popular. The traditional method of building monolithic applications gradually started phasing out, giving way to microservice architectures. What is a microservice?

Microservices 60

Microservices Architecture Applications Software Review 60

Existek

JANUARY 27, 2023

For example, many financial institutions are now using artificial intelligence and machine learning to analyze customer data and identify new opportunities for growth. Another challenge is data security. Scalability is also a significant challenge for financial services software development.

Software Development 52

Software Development Trends Technology Software 52

Openxcell

FEBRUARY 8, 2023

The Framework of.Net Core can be used to develop various types of applications like desktop, web, mobile, cloud, Internet of Things, microservices, etc. It is built to be scalable, light, and quick. Localization as well as globalisation With the help of.Net Core, localising data within a dot net application is easy.

.Net 52

.Net Comparison Windows Open Source 52

Trigent

SEPTEMBER 26, 2021

All you need is a cohesive cloud strategy to realize its business value fully. BFSI companies have adopted cloud technology for various reasons, including Data and IT security, regulatory reporting, fraud detection and prevention, data reconciliation, and underwriting activity. Ø Enhancing data security capabilities.

Cloud 52

Cloud Enterprise Banking Off-The-Shelf 52

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. One major cloud advantage is the agility of adopting cloud-native architecture including containers/microservices.

Cloud 103

Cloud Azure How To AWS 103

d2iq

APRIL 3, 2023

As Gartner notes, “The top 2023 priorities of federal and national government CIOs are digital transformation and improved use of data across the organization.”However, You can quickly and easily deploy applications and complex data services from a centralized service catalog to specific or multiple clusters, with governance.

Government 52

Government Cloud Infrastructure Google Cloud 52

Palo Alto Networks

NOVEMBER 12, 2019

With Google Cloud’s native security toolkit and deep integrations with Palo Alto Networks cloud security products such as the VM-Series , Prisma Cloud , and Prisma SaaS , you can define a consistent security posture in Google Cloud and on-premises. Let’s look into some of these integrations. .

Google Cloud 8

Google Cloud Cloud Firewall Load Balancer 8

Altexsoft

OCTOBER 21, 2022

Similar to Google in web browsing and Photoshop in image processing, it became a gold standard in data streaming, preferred by 70 percent of Fortune 500 companies. Apache Kafka is an open-source, distributed streaming platform for messaging, storing, processing, and integrating large data volumes in real time. What is Kafka?

Weak Development Team 93

Weak Development Team Technical Review Systems Review Software Review 93

ParkMyCloud

SEPTEMBER 24, 2019

Earlier this year at the Google Cloud Next event, Google announced the launch of its new managed service offering for multi-cloud environments, Google Cloud Anthos. . Google Cloud Anthos is based on the Cloud Services Platform that Google introduced last year. Anthos Compared.

Google Cloud 10

Google Cloud Cloud Azure AWS 10

Confluent

MARCH 4, 2019

Cloud is one of the key drivers for innovation. Innovative companies experiment with data to come up with something useful. A trend often seen in organizations around the world is the adoption of Apache Kafka ® as the backbone for data storage and delivery. CTO of CloudBank.

Cloud 86

Cloud Fractional CTO Software Review Banking 86

Bernd Rucker

AUGUST 18, 2017

The latter might need computing power for the PDF creation, so a scalable serverless function might make sense here. The plan was quickly drawn in my sketch book: And we prepared logins for some of the well known cloud providers: AWS, Microsoft Azure, Google Cloud, IBM Bluemix, Pivotal, Heroku and OpenShift.

Serverless 40

Serverless Cloud Azure AWS 40