O'Reilly Media - Ideas

MAY 1, 2019

60 Minutes to Better Product Metrics , July 10. Deploying Container-Based Microservices on AWS , June 10-11. Cloud Computing on the Edge , June 11. Exam AZ-103: Microsoft Azure Administrator Crash Course , June 12-13. Microservices Caching Strategies , June 17. Microservice Fundamentals , July 10.

Course 45

Course Training Artificial Inteligence Machine Learning 45

Linux Academy

JUNE 28, 2019

DevOps has become an integral part of the cloud – in Google Cloud , AWS , and Azure. Whether you are aggregating log files, system resource utilization metrics, or application data, Splunk is there to centralize your IT data for easy search and visualization. Use Docker Compose to deploy Microservices to Docker.

Course 60

Course DevOps Training Linux 60

O'Reilly Media - Ideas

JANUARY 25, 2024

While we like to talk about how fast technology moves, internet time, and all that, in reality the last major new idea in software architecture was microservices, which dates to roughly 2015. Just a few notes on methodology: This report is based on O’Reilly’s internal “Units Viewed” metric. Microservices saw a 20% drop.

Trends 116

Trends Technical Review Technology Artificial Inteligence 116

O'Reilly Media - Ideas

MARCH 1, 2023

Methodology This report is based on our internal “units viewed” metric, which is a single metric across all the media types included in our platform: ebooks, of course, but also videos and live training courses. Is the relatively low growth of microservices a sign of change? Have microservices reached a peak?

Trends 134

Trends Technical Review Technology Software Review 134

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

Perficient

JULY 20, 2023

One of the most important design decisions when configuring autoscaling is selecting the right metrics to use for the scaling rules – each system is unique, and while some applications may require heavy compute, others may need more memory or storage to operate efficiently. Docker) allows for better resource utilization.

Cloud 52

Cloud Strategy Weak Development Team Load Balancer 52

Altexsoft

OCTOBER 27, 2020

Cloud services like Azure and AWS became a standard way for DevOps projects to set the infrastructure. The Infrastructure as a code is a concept of managing servers in the cloud, using configuration files, instead of dealing with manual configurations. The most prominent cloud infrastructure providers are: Amazon Web Services.

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. When you’re adopting a microservices architecture.

Microservices 64

Microservices Weak Development Team Analytics Azure 64

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. Azure Functions by Microsoft.

Serverless 68

Serverless Azure AWS Architecture 68

Modus Create

JUNE 20, 2023

All major cloud providers (AWS, Azure, Google Cloud) provide serverless options, with AWS Lambda being the most popular serverless computing platform. You can think of them as microservices but for UI. For example, any work related to migrating the product to the cloud will be prioritized over improvements in UI.

Trends 98

Trends Development Serverless Technical Review 98

Daniel Bryant

SEPTEMBER 13, 2019

being able to deploy each app to multiple clouds), and instead they wanted to leverage different clouds and platforms to meet different requirements e.g. AWS EKS for microservices, Azure functions for event-driven simple batch processing, and Google’s data engineering and machine learning services.

Infrastructure 8

Infrastructure Azure Software Engineering Cloud 8

Instaclustr

AUGUST 19, 2021

The next step is to select the cloud provider that you wish to use with the application. The primary providers are Amazon Web Services, Microsoft Azure, and Google Cloud Platform. In some cases, you can use Digital Ocean, IBM Cloud, or on-premise by contacting us. Looking at Metrics.

Metrics 46

Metrics Authentication Open Source Enterprise 46

CircleCI

MAY 27, 2022

Most cloud providers offer serverless functions, which they may refer to as functions as a service (FaaS). The leading offerings are AWS Lambda , Azure Functions , and Google Cloud Functions , each with many integrations within the associated ecosystems. They are ideal for providing API endpoints or microservices.

Serverless 52

Serverless Applications Technical Review Microservices 52

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

OCTOBER 21, 2022

After trying all options existing on the market — from messaging systems to ETL tools — in-house data engineers decided to design a totally new solution for metrics monitoring and user activity tracking which would handle billions of messages a day. The performance consists of two main metrics — throughput and latency.

Weak Development Team 93

Weak Development Team Technical Review Systems Review Software Review 93

Confluent

JULY 31, 2019

If you prefer fully managed services in the cloud, Confluent Operator also supports services from all major cloud providers, including Google Kubernetes Engine (GKE), Amazon Elastic Kubernetes Service (Amazon EKS), and Azure Container Service (AKS). Brokers overview: provides an at-a-glance view of key Kafka metrics.

Open Source 19

Open Source Authentication Cloud Resources 19

O'Reilly Media - Ideas

JANUARY 25, 2022

Content usage, whether by title or our taxonomy, is based on an internal “units viewed” metric that combines all our content forms: online training courses, books, videos, Superstream online conferences, and other new products. Both “GCP” and “Google Cloud” were in the top 3% of their respective lists. That’s not surprising.

Trends 109

Trends Technical Review Technology Artificial Inteligence 109

O'Reilly Media - Ideas

JANUARY 25, 2021

We’ll be working with microservices and serverless/functions-as-a-service in the cloud for a long time–and these are inherently concurrent systems. We don’t see that in our data, though there are certainly some metrics to say that artificial intelligence has stalled. It’s no surprise that the cloud is growing rapidly.

Programming 145

Programming Cloud Artificial Inteligence Machine Learning 145

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