ParkMyCloud

MAY 7, 2019

To power serverless workloads, cloud providers use automated systems that eliminate the need for server administrators, offering developers a way to manage applications and services without having to handle, tweak or scale the actual server infrastructure. Microservices-based architectures, with small chunks of code working together.

Serverless 58

Serverless Lambda Google Cloud Azure 58

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. Microservices Caching Strategies , June 17. Google Cloud Platform Professional Cloud Architect Certification Crash Course , June 25-26.

Course 46

Course Training Artificial Inteligence Machine Learning 46

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

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. Challenge #3 - Cost management has never been so tricky.

Cloud 53

Cloud Azure AWS Google Cloud 53

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

Kentik

APRIL 11, 2016

That’s a situation that’s become increasingly common for data-driven businesses, which need to make critical, time-sensitive decisions informed by large datasets of metrics from their customers, operations, or infrastructure. But what if you need fast answers to questions that can’t be completely defined in advance?

Big Data 40

Big Data Analytics Network Architecture 40

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. Once your cloud commitment gets bigger, independent cost management tools start to become attractive.

Tools 278

Tools Cloud Artificial Inteligence Artificial Intelligence 278

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 132

Trends Technical Review Technology Software Review 132

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

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 114

Trends Technical Review Technology Artificial Inteligence 114

Altexsoft

OCTOBER 27, 2020

In a microservice architecture , dozens of containers will be interconnected making up the app. As we mentioned before, usually DevOps projects deal with cloud infrastructure. The most prominent cloud infrastructure providers are: Amazon Web Services. Google Cloud Platform. Oracle Cloud Platform.

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

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. Using Prometheus for Alerting.

Metrics 46

Metrics Authentication Open Source Enterprise 46

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

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

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. group = 'com.redpillanalytics'. version = '1.0.0'.

Lambda 87

Lambda Analytics Testing Groups 87

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

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

Altexsoft

DECEMBER 28, 2018

Google Cloud Functions (GCF). One of the four largest, Google released its solution only in 2017. GCF service used to lag behind Azure and Lambda, but during 2018, Google managed to fix earlier mistakes as evidenced by GCF release notes. Google-driven mobile development. Monitoring and logging.

Serverless 68

Serverless Azure AWS Architecture 68

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. Our first Gradle requirement on this project was building KSQL user-defined functions, and we also eventually used it to build our Kafka Streams microservices. Introduction. m2 directory. id 'maven-publish'.

Groups 95

Groups Windows Testing Microservices 95

Abhishek Tiwari

SEPTEMBER 10, 2017

Kubernetes can be an ultimate local development environment particularly if you are wrangling with a large number of microservices. On Mac, you can install Kubectl using one of the following methods, Using the Google Cloud SDK: gcloud components install kubectl. With this workflow, you can code and test changes immediately.

Development 49

Development Software Review Systems Review Continuous Integration 49

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.

Trends 110

Trends Technical Review Technology Artificial Inteligence 110

Capgemini

MARCH 31, 2024

Unlocking the potential of generative software engineering: Lessons from the past, projections for the future The transformative journey of software engineering, from procedural development to object-oriented programming, to cloud and microservices, revolutionized how we build and maintain software.

Software Engineering 52

Software Engineering Engineering Software Generative AI 52

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