CIO

AUGUST 31, 2022

The most in-demand skills include DevOps, Java, Python, SQL, NoSQL, React, Google Cloud, Microsoft Azure, and AWS tools, among others. You’ll be required to write code, troubleshoot systems, fix bugs, and assist with the development of microservices.

Software Engineering 246

Software Engineering Data Engineering DevOps AWS 246

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. Product Management for Enterprise Software , July 18. Scalable Data Science with Apache Hadoop and Spark , July 16. AI and machine learning.

Course 64

Course Training Artificial Inteligence Software Review 64

Modus Create

MAY 15, 2023

Legacy databases can’t scale fluidly with your serverless functions, creating a major bottleneck in the scalability of your serverless application. Serverless architecture usually requires expertise in event-driven programming, microservices, and a deep understanding of the enterprise cloud ecosystem.

Serverless 98

Serverless Lambda AWS Architecture 98

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. Product Management for Enterprise Software , July 18. Scalable Data Science with Apache Hadoop and Spark , July 16. AI and machine learning.

Course 50

Course Training Artificial Inteligence Software Review 50

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 107

Machine Learning Artificial Inteligence Scalability Data Engineering 107

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. The things that worked well on-premises may turn out to be costly mistakes in the cloud.

Strategy 52

Strategy Tools Cloud Disaster Recovery 52

O'Reilly Media - Ideas

JANUARY 2, 2019

Managing Enterprise Data Strategies with Hadoop, Spark, and Kafka , February 13. Microservice Fundamentals , January 10. Microservices Architecture and Design , January 16-17. Google Cloud Platform (GCP) for AWS Professionals , January 18. Domain-Driven Design and Event-Driven Microservices , January 22-23.

Course 57

Course Artificial Inteligence Training Blockchain 57

O'Reilly Media - Ideas

APRIL 3, 2019

Introduction to Distributed Ledger Technology for Enterprise , May 9. Introduction to Google Cloud Platform , June 3-4. Introduction to Google Cloud Platform , June 3-4. Scalable Concurrency with the Java Executor Framework , May 30. Google Cloud Certified Associate Cloud Engineer Crash Course , May 15-16.

Course 48

Course Artificial Inteligence Training Google Cloud 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 45

Google Cloud Network Cloud Load Balancer 45

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. Blockchain for Enterprise , April 1. Scalable Concurrency with the Java Executor Framework , March 12. Scalable Programming with Java 8 Parallel Streams , March 27. Microservice Collaboration , March 7.

Artificial Inteligence 11

Artificial Inteligence Course Training Artificial Intelligence 11

Exadel

DECEMBER 4, 2019

The move to the cloud, and especially Kubernetes, posed major challenges and benefits for enterprises. It can be deployed to AWS, Azure, or Google Cloud Platform (GCP). In order to help clients with this transition, we released CrossKube. International Expansion.

Software Review 10

Software Review Blockchain Open Source Technical Review 10

Trigent

SEPTEMBER 26, 2021

Just about everyone is talking about the cloud. Cloud computing in finance sector is driving agility for enterprises, and everyone from business leaders to forward-thinking CIOs is using it to support their business strategies to improve performance and returns. Factors to consider. Government regulations.

Cloud 52

Cloud Enterprise Banking Off-The-Shelf 52

TechCrunch

DECEMBER 13, 2022

. “Developers tape together various open source projects, home-grown proxy layers and combine them with disparate services from cloud-specific vendors like Amazon Web Services, Microsoft Azure and Google Cloud Platform and content delivery networks like Cloudflare. “Ngrok allows developers to avoid that complexity.”

Firewall 240

Firewall Serverless Load Balancer Internet 240

Trigent

MARCH 29, 2023

Microservices, containers, and other serverless technologies enable insurers to easily update and maintain their systems and quickly respond to changes in the market. Secure, scalable APIs are core to addressing these conflicting yet necessary requirements. Trigent Services for the InsurTech 2.0 As InsurTech 2.0

Insurance 95

Insurance Strategy Serverless Big Data 95

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

O'Reilly Media - Ideas

MARCH 1, 2023

For several years, microservices has been one of the most popular topics in software architecture, and this year is no exception. Although DDD has been around for a long time, it came into prominence with the rise of microservices as a way to think about partitioning an application into independent services. growth over 2021.

Trends 132

Trends Technical Review Technology Software Review 132

Existek

JANUARY 27, 2023

Scalability is also a significant challenge for financial services software development. Enterprise software for financial services There are a wide variety of different types of enterprise software used in the financial services industry, each with its own unique set of features and capabilities.

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. We can create and maintain various platform apps with.Net, which gives enterprises additional flexibility. ing systems.

.Net 52

.Net Comparison Windows Open Source 52

Confluent

MAY 22, 2019

This growth depends greatly on the overall reliability and scalability of IoT deployments. Most IoT-based applications (both B2C and B2B) are typically built in the cloud as microservices and have similar characteristics. Interactive M2M/IoT Sector Map. How many devices will be creating information?

IoT 97

IoT Google Cloud Scalability Microservices 97

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

O'Reilly Media - Ideas

OCTOBER 19, 2021

This is both frustrating for companies that would prefer making ML an ordinary, fuss-free value-generating function like software engineering, as well as exciting for vendors who see the opportunity to create buzz around a new category of enterprise software. The new category is often called MLOps. Software Development Layers.

DevOps 140

DevOps Data Software Review Technical Advisors 140

Palo Alto Networks

NOVEMBER 12, 2019

Most enterprises have hybrid or multi-cloud deployments, and maintaining consistent security posture across all deployments is one of their top priorities. It can now detect risks and provide auto-remediation across ten core Google Cloud Platform (GCP) services, such as Compute Engine, Google Kubernetes Engine (GKE), and Cloud Storage.

Google Cloud 8

Google Cloud Cloud Firewall Load Balancer 8

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. . Anthos is Google’s answer to the challenges enterprises face when adopting cloud solutions alongside their on-prem environments.

Google Cloud 10

Google Cloud Cloud Azure AWS 10

Altexsoft

JULY 19, 2022

This basic principle corresponds to that of agile software development or approaches such as DevOps, Domain-Driven Design, and Microservices: DevOps (development and operations) is a practice that aims at merging development, quality assurance, and operations (deployment and integration) into a single, continuous set of processes.

Architecture 52

Architecture Data Analytics Data Engineering 52

ParkMyCloud

JUNE 19, 2020

With so many options available, finding the right machine type for your workload can be confusing – which is why we’ve created this overview of Azure VM types (as we’ve done with EC2 instance types , and Google Cloud machine types ). TiB) and the highest vCPU count (up to 128) of any VM in the cloud. Memory Optimized.

Azure 64

Azure Comparison Storage Virtualization 64

Altexsoft

OCTOBER 21, 2022

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. A single cluster can span across multiple data centers and cloud facilities. The way Kafka treats clients also contributes to the overall system’s scalability.

Weak Development Team 93

Weak Development Team Technical Review Systems Review Software Review 93

Confluent

MARCH 4, 2019

We want our customers to fully experience the cloud by taking advantage not only of the security and scalability features of it but also the ability to decrease TCO based on which cloud provider they choose to use. CTO of CloudBank. MQTT, REST, JMS, S3, Elasticsearch) and monitor their clusters using Confluent Control Center.

Cloud 88

Cloud Fractional CTO Software Review Banking 88

Confluent

OCTOBER 10, 2019

Confluent Platform and Confluent Cloud are already used in many IoT deployments, both in Consumer IoT and Industrial IoT (IIoT). Most scenarios require a reliable, scalable, and secure end-to-end integration that enables bidirectional communication and data processing in real time. End-to-end enterprise integration architecture.

IoT 20

IoT Internet Weak Development Team Scalability 20

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 134

Cloud eCommerce Azure Google Cloud 134

Capgemini

MARCH 31, 2024

Our purpose is to inspire software engineers, software companies and enterprises who are embracing the next generation of ‘product-centric’ business models driven by software to anticipate and embrace the transformative potential of generative AI with bold and forward-looking actions and strategies.

Software Engineering 52

Software Engineering Engineering Software Generative AI 52

High Scalability

NOVEMBER 25, 2019

To add elasticity, reliability and durability, these data centers are connected to Google Cloud platform using high speed, secure Google Interconnect network. Egnyte Connect runs a service mesh extending from our own data centers to google cloud that provides multiple classes of services: Collaboration.

Architecture 21

Architecture Data Center Software Review Storage 21