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. Real-Time Streaming Analytics and Algorithms for AI Applications , July 17.

Course 50

Course Training Artificial Inteligence Software Review 50

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 152

System Enterprise Data Cloud 152

O'Reilly Media - Ideas

MARCH 1, 2023

The first quantum computers are now available through cloud providers like IBM and Amazon Web Services (AWS). For several years, microservices has been one of the most popular topics in software architecture, and this year is no exception. Is the relatively low growth of microservices a sign of change? growth over 2021.

Trends 134

Trends Technical Review Technology Software Review 134

Linux Academy

MAY 28, 2019

To use Docker Compose to deploy Microservices to Docker. Google Cloud Essentials – This course is designed for those who want to learn about Google Cloud: what cloud computing is, the overall advantages Google Cloud offers, and detailed explanations of all major services – what they are, their use cases, and how to use them.

Linux 104

Linux AWS Azure Technical Review 104

OTS Solutions

SEPTEMBER 5, 2023

Microservices Microservices have emerged as a powerful approach in the field of DevOps, especially in the cloud environment. By breaking down complex applications into smaller, independent components, microservices allow for better scalability, flexibility, and fault tolerance.

DevOps 130

DevOps Cloud Software Review Weak Development Team 130

Altexsoft

DECEMBER 28, 2018

According to the RightScale 2018 State of the Cloud report, serverless architecture penetration rate increased to 75 percent. 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. AWS Lambda.

Serverless 68

Serverless Azure AWS Architecture 68

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. Powerful analytics: The tool must unlock powerful analytics and enable in-depth visibility.

Cloud 103

Cloud Azure How To AWS 103

Lacework

SEPTEMBER 28, 2022

Here are the primary ones to consider: Microservices : These offer increased flexibility at runtime and better resource utilization efficiency, but the need to manage every microservice in a cloud app can quickly up your complexity level. These workloads, and the cloud environments they’re in, change rapidly.

Cloud 52

Cloud Microservices Firewall Compliance 52

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

Linux Academy

APRIL 30, 2019

Introduction to Migrating Databases and Virtual Machines to Google Cloud Platform — This course covers the various issues of migrating databases and virtual machines to Google Cloud Platform. AWS Concepts – This course is for the absolute beginner. What is AWS? What are AWS’s core services?

Linux 113

Linux AWS Big Data Course 113

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

O'Reilly Media - Ideas

APRIL 3, 2019

Introduction to Google Cloud Platform , June 3-4. Fraud Analytics Using Python , April 30. Introduction to Google Cloud Platform , June 3-4. Beginner’s Guide to Writing AWS Lambda Functions in Python , May 7. AWS Certified Developer Associate Crash Course , May 1-2. AWS Managed Services , May 20-21.

Course 48

Course Artificial Inteligence Training Google Cloud 48

Confluent

MAY 22, 2019

What role will analytics play in future? Most IoT-based applications (both B2C and B2B) are typically built in the cloud as microservices and have similar characteristics. Enterprises typically accumulate large amounts of data over time from different sources and data types, such as IoT devices and microservices applications.

IoT 97

IoT Google Cloud Scalability Microservices 97

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

Kentik

NOVEMBER 7, 2018

Dynamically orchestrated” and “microservices-oriented” are key aspects of “cloud-native” architecture that make this especially challenging. Are there hidden fees behind your cloud bill? Google Cloud interconnects, ? from workloads to Google services. Amazon AWS - VPC Flow Logs. over VPNs, ?

Cloud 53

Cloud Azure AWS Google Cloud 53

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 Azure 64

Altexsoft

JULY 4, 2022

Obviously, this professional creates, deploys, updates, and supports cloud-based infrastructures. Depending on a company’s service provider, the position can be put as AWS, Google, Oracle, or Azure cloud infrastructure engineer. Architecting with Google Compute Engine Specialization. Non-technical skills.

Infrastructure 64

Infrastructure Engineering Technical Review Google Cloud 64

O'Reilly Media - Ideas

MAY 1, 2019

Real-Time Streaming Analytics and Algorithms for AI Applications , May 15. Fundamentals of Machine Learning with AWS , June 19. Building Machine Learning Models with AWS Sagemaker , June 20. Fraud Analytics using Python , June 25. Beginner’s Guide to Writing AWS Lambda Functions in Python , June 28.

Course 46

Course Training Artificial Inteligence Machine Learning 46

ParkMyCloud

FEBRUARY 20, 2020

AWS offers a range of EC2 instance types optimized for various purposes. Check it out here: Or, read on for a look into each of the AWS instance types. Remember that within each type, you’ll still need to choose the AWS instance sizes that suit your specific needs. It’s worth taking the time to do so, as ? Fright Camp DXZ.

Comparison 71

Comparison How To AWS Machine Learning 71

Linux Academy

APRIL 29, 2019

Introduction to Migrating Databases and Virtual Machines to Google Cloud Platform — This course covers the various issues of migrating databases and virtual machines to Google Cloud Platform. AWS Concepts – This course is for the absolute beginner. What is AWS? What are AWS’s core services?

Linux 60

Linux AWS Big Data Course 60

Confluent

FEBRUARY 6, 2019

It takes much more effort than just building an analytic model with Python and your favorite machine learning framework. No matter what other platforms are supported, chances are very high that your data scientists will build and train their analytic models with Python. You need to think about the whole model lifecycle.

Machine Learning 107

Machine Learning Artificial Inteligence Scalability Data Engineering 107

Altexsoft

OCTOBER 27, 2020

Back in 2010, Amazon migrated its servers to the AWS cloud and launched Apollo code deployment platform. 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.

DevOps 116

DevOps Tools Continuous Delivery Open Source 116

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

Altexsoft

JUNE 29, 2021

It is common in designing apps that rely on microservices (when every service runs its own process.). While there may be a greater number of microservices involved in the process, we’ll cover the three key ones. Moreover, creating a functional event-driven architecture requires complementary services, say, cloud data storages.

Architecture 75

Architecture Microservices IoT Scalability 75

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. Cloud infrastructure.

DevOps 90

DevOps Engineering Continuous Delivery Systems Administration 90

Confluent

JULY 10, 2019

If you recall from part 1, we added Kafka Streams to our architecture for some final repackaging of our messages before sending them off to the different APIs in Oracle Warehouse Management Cloud (Oracle WMS Cloud): Figure 1. The packaging of payloads for Oracle WMS Cloud. Gradle analytics with Apache Kafka.

Lambda 87

Lambda Analytics Testing Groups 87

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. Dsv3-series. M-Series .

Azure 64

Azure Comparison Storage Virtualization 64

O'Reilly Media - Ideas

MARCH 6, 2019

Get hands-on training in machine learning, AWS, Kubernetes, Python, Java, and many other topics. An Introduction to Amazon Machine Learning on AWS , April 29-30. Business Data Analytics Using Python , April 29. Developing Applications on Google Cloud Platform , April 29-30. AWS Access Management , April 4.

Course 10

Course Artificial Inteligence Training Microservices 10

O'Reilly Media - Ideas

FEBRUARY 6, 2019

Get hands-on training in machine learning, microservices, blockchain, Python, Java, and many other topics. An Introduction to Amazon Machine Learning on AWS , March 6-7. Business Data Analytics Using Python , February 27. Beginner’s Guide to Writing AWS Lambda Functions in Python , March 1. AI and machine learning.

Artificial Inteligence 11

Artificial Inteligence Course Training Artificial Intelligence 11

Linux Academy

JUNE 28, 2019

DevOps has become an integral part of the cloud – in Google Cloud , AWS , and Azure. Course Description: As one of the early log aggregation products in the IT industry, Splunk has remained a popular choice amongst system administrators, engineers, and developers for operational analytics.

Course 60

Course DevOps Training Linux 60

Confluent

MAY 29, 2019

In part 3, we’ll explore using Gradle to build and deploy KSQL user-defined functions (UDFs) and Kafka Streams microservices. Red Pill Analytics has made the gradle-confluent plugin available under the Apache 2.0 Introduction. License on GitHub , as well as in the Gradle plugin portal. m2 directory. id 'maven-publish'.

Groups 95

Groups Windows Testing Microservices 95

Existek

JANUARY 27, 2023

Analytics and business intelligence (BI) systems are commonly used in the financial services industry to analyze large amounts of data and generate insights for informed business decisions. Another commonly used technology in software development for financial services, banks, and fintech is Microservices.

Software Development 52

Software Development Trends Technology Software 52

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. Tracking the cost of instances and pods across your multiple clouds is part of this larger job.

Tools 290

Tools Cloud Artificial Inteligence Artificial Intelligence 290

High Scalability

NOVEMBER 25, 2019

Egnyte is a secure Content Collaboration and Data Governance platform, founded in 2007 when Google drive wasn't born and AWS S3 was cost-prohibitive. Our only option was to roll up our sleeves and build basic cloud file system components such as object store ourselves. Cloud Platform. Google cloud.

Architecture 21

Architecture Data Center Software Review Storage 21