CIO

SEPTEMBER 2, 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. Business systems analyst.

Software Engineering 148

Software Engineering Data Engineering DevOps AWS 148

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. Business systems analyst.

Software Engineering 148

Software Engineering Data Engineering DevOps AWS 148

Kentik

MAY 14, 2019

Powerful analytics: The tool must unlock powerful analytics and enable in-depth visibility. Analytics features should be contextualized and enable you to answer both technical and business questions for various stakeholders. Kentik for Multi-Cloud Visibility: Now with Support for GCP, AWS and Microsoft Azure Flows.

Cloud 103

Cloud Azure How To AWS 103

Mobilunity

DECEMBER 26, 2024

Think about refactoring to microservices or containerizing whenever feasible, to enhance performance in the cloud setting. This could entail decomposing monolithic applications into microservices or employing serverless technologies to improve scalability, performance, and resilience. Want to hire qualified devs? How to prevent it?

AWS 52

AWS Cloud Weak Development Team DevOps 52

ParkMyCloud

JUNE 19, 2020

There are a wide range of Microsoft Azure VM types that are optimized to meet various needs. 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 ).

Azure 64

Azure Comparison Storage Virtualization 64

Datavail

MARCH 2, 2022

In contrast to monolithic architecture, microservices have been growing in popularity in recent years. According to O’Reilly’s Microservices Adoption in 2020 survey , for example, 77 percent of companies say that they’ve experimented with microservices (and 92 percent of these respondents report having success with them).

Microservices 55

Microservices Applications Cloud Architecture 55

CIO

JANUARY 26, 2023

See Azure Cost Management , Google Cloud Cost Management , and AWS Cloud Financial Management tools for the big three clouds. 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.

Tools 174

Tools Cloud Artificial Inteligence Artificial Intelligence 174

CIO

DECEMBER 13, 2024

For example, by leveraging OpenShift, Discover and other enterprises can achieve portability across AWS, Microsoft Azure, Google Cloud Platform, and IBM Cloud. But introducing a container-based approach to cloud computing can introduce complexities and challenges, analysts note. We will be doing use case-based approach, Haus said.

Cloud 147

Cloud Generative AI AWS Artificial Inteligence 147

Altexsoft

DECEMBER 28, 2018

Aware of what serverless means, you probably know that the market of cloudless architecture providers is no longer limited to major vendors such as AWS Lambda or Azure Functions. Azure Functions by Microsoft. Azure Functions offers a similar set of services to Amazon, with a focus on the Microsoft family of languages and tools.

Serverless 68

Serverless Azure AWS Architecture 68

O'Reilly Media - Ideas

JUNE 4, 2019

Get hands-on training in Docker, microservices, cloud native, Python, machine learning, and many other topics. Fundamentals of Machine Learning and Data Analytics , July 10-11. Real-Time Streaming Analytics and Algorithms for AI Applications , July 17. Text Analysis for Business Analytics with Python , June 12.

Course 92

Course Training Artificial Inteligence Software Review 92

Linux Academy

MAY 28, 2019

Implement And Manage Application Services (Azure)- This course provides instructions on how to manage and maintain the infrastructure for the core web apps and services developers build and deploy. To use Docker Compose to deploy Microservices to Docker. Docker Deep Dive In this course we will cover Docker 18.09.4,

Linux 104

Linux AWS Azure Technical Review 104

Existek

JANUARY 11, 2022

We suggest drawing a detailed comparison of Azure vs AWS to answer these questions. Azure vs AWS market share. What is Microsoft Azure used for? Azure vs AWS features. Azure vs AWS comparison: other practical aspects. Azure vs AWS comparison: other practical aspects. Azure vs AWS: which is better?

Azure 52

Azure AWS Cloud How To 52

O'Reilly Media - Ideas

FEBRUARY 6, 2019

Get hands-on training in machine learning, microservices, blockchain, Python, Java, and many other topics. Business Data Analytics Using Python , February 27. Designing and Implementing Big Data Solutions with Azure , March 11-12. Microservice Collaboration , March 7. Implementing Azure for Enterprises , March 25-26.

Artificial Inteligence 17

Artificial Inteligence Course Training Artificial Intelligence 17

CIO

JULY 13, 2022

Universal Data Movement Use Cases with Streaming as First-Class Citizen : The service needs to address the entire diversity of data movement use cases: continuous/streaming, batch, event-driven, edge, and microservices.

System 133

System Enterprise Data Cloud 133

Perficient

DECEMBER 2, 2022

It would take way too long to do a comprehensive review of all available solutions, so in this first part, I’m just going to focus on AWS, Azure – as the leading cloud providers – as well as hybrid-cloud approaches using Kubernetes. Messages are also (selectively) transferred to the cloud for analytics and global integration.

IoT 69

IoT Systems Review Industry Software Review 69

The Citus Data

JULY 18, 2023

Schema-based sharding gives an easy path for scaling out several important classes of applications that can divide their data across schemas: Multi-tenant SaaS applications Microservices that use the same database Vertical partitioning by groups of tables Each of these scenarios can now be enabled on Citus using regular CREATE SCHEMA commands.

Microservices 98

Microservices Metrics Open Source IoT 98

Cloudera

JUNE 16, 2022

The ability to perform analytics on data as it is created and collected (a.k.a. Over the last seven years, Cloudera’s Stream Processing product has evolved to meet the changing streaming analytics needs of our 700+ enterprise customers and their diverse use cases. Faster ingestion was needed to reduce overall analytics latency. .

Data 88

Data Disaster Recovery Analytics Microservices 88

AWS Machine Learning - AI

JULY 25, 2024

with Resource Owner Password Credentials Flow Azure AD App-Only (OAuth 2.0 A document’s ACL contains information such as the user’s email address and the local groups or federated groups (if Microsoft SharePoint is integrated with an identity provider (IdP) such as Azure Active Directory/Entra ID) that have access to the document.

Azure 91

Azure Artificial Inteligence Authentication Generative AI 91

Altexsoft

OCTOBER 27, 2020

Cloud services like Azure and AWS became a standard way for DevOps projects to set the infrastructure. In a microservice architecture , dozens of containers will be interconnected making up the app. Microsoft Azure. If, for some reason, major tools don’t fit your needs, check also GitHub workflows , Circle CI , and Azure.

DevOps 116

DevOps Tools Continuous Delivery Open Source 116

Altexsoft

APRIL 22, 2021

When you’re employing a lot of APIs to digitize, adopt a microservices architecture, or build your business strategy around APIs, you need to control not just one aspect of your APIs, but their full life cycle, including such tasks as: Defining API schemas and publishing them. Reviewing usage analytics and improving APIs.

Microservices 64

Microservices Weak Development Team Analytics Software Review 64

High Scalability

FEBRUARY 8, 2019

According to 451 Research’s Voice of the Enterprise: Data & Analytics, 28% of businesses run analytics on their employee behavior data, roughly the same number that analyze IT infrastructure data. They'll learn a lot and love you forever. Are there more quotes?

Scalability 75

Scalability Internet Wireless Technical Review 75

O'Reilly Media - Ideas

JUNE 5, 2019

Get hands-on training in Docker, microservices, cloud native, Python, machine learning, and many other topics. Fundamentals of Machine Learning and Data Analytics , July 10-11. Real-Time Streaming Analytics and Algorithms for AI Applications , July 17. Text Analysis for Business Analytics with Python , June 12.

Course 67

Course Training Artificial Inteligence Software Review 67

OTS Solutions

JUNE 9, 2023

These applications are used to manage and streamline various business processes and operations, including customer relationship management, enterprise resource planning, enterprise resources planning, supply chain management, human resource management, and business intelligence and analytics.

Enterprise 130

Enterprise Applications Development Scalability 130

OTS Solutions

JUNE 9, 2023

These applications are used to manage and streamline various business processes and operations, including customer relationship management, enterprise resource planning, enterprise resources planning, supply chain management, human resource management, and business intelligence and analytics.

Enterprise 130

Enterprise Applications Development Scalability 130

O'Reilly Media - Ideas

MARCH 6, 2019

Business Data Analytics Using Python , April 29. Microservice Fundamentals , April 15. Microservice Collaboration , April 16. Serverless Architectures with Azure , April 23-24. Domain-Driven Design and Event-Driven Microservices , May 14-15. Microservice Fundamentals , May 28. Design and product management.

Course 15

Course Artificial Inteligence Training Machine Learning 15

Linux Academy

APRIL 30, 2019

We conclude this lesson with a tour of the different types of Analytics that can be performed on big data and various techniques and tools used. Azure Concepts – In this course, we cover the basics of cloud services, the core components of the Azure flavor of cloud, and a few basic examples of how companies are using Azure today.

Linux 113

Linux AWS Big Data Course 113

Altexsoft

AUGUST 30, 2018

The most popular are Chef, Puppet, Azure Resource Manager, and Google Cloud Deployment Manager. Microservices. The microservice architectural approach entails building one application as a set of independent services that communicate with each other, but are configured individually. Continuous monitoring. Cloud infrastructure.

DevOps 90

DevOps Engineering Continuous Delivery Systems Administration 90

Altexsoft

AUGUST 31, 2021

Microservices and API gateways. It’s also an architectural pattern, which was initially created to support microservices. Hard to update and implement new technologies, the monolith started being replaced by a new architectural pattern — microservices. What is an API gateway? Source: Netflix Technology Blog.

Microservices 64

Microservices Serverless How To Load Balancer 64

Cloudera

JUNE 2, 2022

Universal Data Movement Use Cases with Streaming as First-Class Citizen : The service needs to address the entire diversity of data movement use cases: continuous/streaming, batch, event-driven, edge, and microservices.

System 104

System Enterprise Data Cloud 104

Prisma Clud

FEBRUARY 20, 2024

Competitive pressures have created a sense of urgency to accelerate data innovation, which leads to a business environment that’s supportive of new data initiatives — and these come with additional storage, analytics and reporting requirements. Since agent-based solutions aren’t fit for purpose, they’ll need an agentless solution.

Cloud 91

Cloud Software Review Technical Review Analytics 91

Datavail

APRIL 20, 2022

In particular, many businesses are interested in breaking up their monolithic legacy applications and dividing them into interconnected microservices. Each microservice is smaller, hence easier to maintain. We’ve helped countless clients modernize their legacy.NET applications and move them to the Microsoft Azure public cloud.

Microservices 52

Microservices Azure .Net DevOps 52

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

Perficient

MARCH 13, 2023

This is generally a cheaper and more powerful alternative to the native monitoring systems provided by the hyperscalers like CloudWatch and Azure Monitoring. It’s most well-known for autoscaling serverless or event-driven applications backed by tools like Kafka, AMQ, Azure EventHub, etc.

Serverless 83

Serverless Azure Metrics AWS 83

Kentik

NOVEMBER 7, 2018

Dynamically orchestrated” and “microservices-oriented” are key aspects of “cloud-native” architecture that make this especially challenging. Microsoft Azure - Flow Logging & Virtual Network TAP. Azure flow logging allows you to view information about ingress and egress IP traffic through a Network Security Group (NSG).

Cloud 53

Cloud Azure AWS Google Cloud 53

Mobilunity

DECEMBER 5, 2024

Managing the expenses of cloud providers such as AWS, Azure, and Google Cloud has become a major difficulty for modern businesses. This article presents the goal of cloud cost optimization, best practices, such as adjusting resource sizes and utilizing automation and predictive analytics, and effective tools.

Cloud 52

Cloud Strategy Technical Review Database Administration 52

Perficient

DECEMBER 7, 2023

These range from cloud-based solutions like AWS, Google Cloud, and Azure to specific BI tools like Tableau, Power BI, Pyramid Analytics, and Looker. This means setting up systems for real-time data analysis, predictive analytics, and automated reporting.

How To 52

How To Analytics Scalability Google Cloud 52

Confluent

FEBRUARY 27, 2019

The more recent developments around AWS Step Functions and Azure Durable Functions (patterns) reveal future direction. For example, you can perform large-scale analytic processing of all auction site bidders against “cars in 2018” (a non-event-streaming problem). You can read more about CloudEvents in part 1 of this blog series.

Serverless 109

Serverless Lambda AWS Systems Review 109