O'Reilly Media - Ideas

MAY 1, 2019

Fundamentals of Machine Learning with AWS , June 19. Building Machine Learning Models with AWS Sagemaker , June 20. 60 Minutes to Better Product Metrics , July 10. Beginner’s Guide to Writing AWS Lambda Functions in Python , June 28. AWS CloudFormation Deep Dive , June 3-4. AWS Design Fundamentals , June 10-11.

Course 46

Course Training Artificial Inteligence Machine Learning 46

ParkMyCloud

MAY 7, 2019

It is no surprise the top cloud providers that are investing in a major way on serverless include AWS, Microsoft Azure, and Google Cloud. AWS Lambda is the current leader among serverless compute implementations. Microservices-based architectures, with small chunks of code working together.

Serverless 58

Serverless Lambda Google Cloud Azure 58

Altexsoft

FEBRUARY 11, 2020

Pros include: Supports cloud monitoring in AWS and Azure. It features dynamic dashboards for tracking metrics of cases, recording response progress, and automating response tasks. MozDef is a set of microservices that you can use in combination with Elasticsearch as a SIEM. Includes compliance mapping.

Tools 109

Tools Linux Analysis Open Source 109

Perficient

FEBRUARY 13, 2024

What is Microservices Architecture? Microservices Architecture Software development follows an architectural and organizational approach where small independent services communicate with each other through well-defined APIs. A microservice can locate and connect with other microservices only when it is published on an R&D server.

Microservices 105

Microservices Architecture Load Balancer MVC 105

Altexsoft

JULY 4, 2022

Depending on a company’s service provider, the position can be put as AWS, Google, Oracle, or Azure cloud infrastructure engineer. The companies may also prefer specialists who have proven experience in a particular technology — for example, Microsoft Azure or Hadoop. Most common duties of an infrastructure engineer.

Infrastructure 64

Infrastructure Engineering Technical Review Google Cloud 64

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 15, 2017

With an infrastructure that’s pervasively instrumented for actual network performance metrics, the above issues disappear. You might deliver an Internet-facing service from AWS, Azure, or GCE. Or possibly you have a microservices architecture with distributed application components.

Metrics 40

Metrics Internet WAN Network 40

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. Microsoft Azure.

DevOps 116

DevOps Tools Continuous Delivery Open Source 116

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 118

Trends Technical Review Technology Artificial Inteligence 118

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. AWS Lambda. Azure Functions by Microsoft. The service launched in 2016 to compete with AWS Lambda. Azure Functions calculator.

Serverless 68

Serverless Azure AWS Architecture 68

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 290

Tools Cloud Artificial Inteligence Artificial Intelligence 290

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. The first quantum computers are now available through cloud providers like IBM and Amazon Web Services (AWS).

Trends 136

Trends Technical Review Technology Software Review 136

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

Daniel Bryant

MAY 30, 2019

Of particular interest to me was the amount of chats I had that focused on the combination of Azure with existing on-prem deployments. capturing top line metrics like error rate and latency between services (illustrated via Linkerd and the SMI metrics server); and traffic management?—?shifting

Policies 40

Policies Technical Review Cloud Software Review 40

Perficient

MARCH 13, 2023

Openshift Monitoring manages the collection and visualization of internal metrics like resource utilization, which can be leveraged to create alerts and used as the source of data for autoscaling. A less-know feature is the ability to leverage Cluster Monitoring to collect your own application metrics.

Serverless 83

Serverless Azure Metrics AWS 83

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

Datavail

JUNE 9, 2020

In just the past few years, GoldenGate has added support for a variety of cloud services: AWS services such as Amazon Kinesis, Amazon Redshift, Amazon S3, and Amazon RDS. Microsoft Azure services such as Azure SQL Database and Azure HDInsight. Microservices. Conclusion.

Innovation 59

Innovation Microservices Azure Big Data 59

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. billion in value. Imagine a music streaming app like Spotify. If any part of the app goes down, the entire app can fail.

Trends 98

Trends Development Serverless Technical Review 98

The Agile Monkey

NOVEMBER 27, 2018

Utilizing AWS Hosted Technologies to Bootstrap a Simple Cloud E-Commerce Solution A Very Brief Serverless Introduction There are plenty of blog posts and documentation that give introductions to serverless architectures in general and specific providers and technologies. They also mesh neatly with CI/CD solutions like CircleCI.

Serverless 40

Serverless AWS Architecture Microservices 40

Honeycomb

NOVEMBER 6, 2018

He specializes in managing AWS services and loves to improve monitoring and observability of systems. Serverless applications are becoming more popular, thanks to AWS Lambda , Azure Functions , and other serverless platforms. We created four honeytail configs: trace, invocation, metric, and log.

Serverless 45

Serverless Lambda AWS Metrics 45

CircleCI

MAY 27, 2022

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. Deploying a serverless application with AWS. What are containers?

Serverless 52

Serverless Applications Technical Review Microservices 52

TIBCO - Connected Intelligence

MAY 19, 2021

When applications are composed using containerized microservices or serverless functions, teams of developers can each own and evolve an individual unit of functionality at the same time. This includes tools to manage and automate application deployment, service registry and discovery, tracing and debugging, and metrics collection.

Architecture 26

Architecture Applications Cloud Microservices 26

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

Kentik

JANUARY 29, 2020

SNMP is used to collect metadata and metrics about a network device. AWS VPC Flow Logs, Google VPC Flow Logs, and Azure NSG Flow Logs) which should be part of all flow strategies. As organizations adopt microservices architectures, they are most often deploying on top of orchestration platforms built on top of Kubernetes.

Network 78

Network Data Center Construction Architecture 78

CloudGeometry

FEBRUARY 7, 2022

The AWS Well-Architected Framework is one such approach that helps adopt architectural best practices (whether or not you run on AWS) and adapt continuously. Another essential benefit of identity in a tenant context is that it aids in capturing and analyzing events from logs & metrics.

Architecture 130

Architecture Policies Resources Construction 130

Daniel Bryant

SEPTEMBER 2, 2018

microservices, containers, orchestrators?—?require The simulated local development infrastructure pattern can be seen with AWS SAM Local. Azure provides dev spaces , which allows an engineer to spin up a managed Kubernetes cluster on-demand and connect a local VSCode editor into this. require new developer workflow patterns.

Software Review 40

Software Review Systems Review Technical Review Cloud 40

CircleCI

MARCH 22, 2021

This is where using the microservice approach becomes valuable: you can split your application into multiple dedicated services, which are then Dockerized and deployed into a Kubernetes cluster. When moving to more distributed architectures, such as microservices, you will end up with some caching instances regardless. Automate first.

Applications 59

Applications Load Balancer Software Review Storage 59

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

Kentik

JANUARY 29, 2020

SNMP is used to collect metadata and metrics about a network device. AWS VPC Flow Logs, Google VPC Flow Logs, and Azure NSG Flow Logs) which should be part of all flow strategies. As organizations adopt microservices architectures, they are most often deploying on top of orchestration platforms built on top of Kubernetes.

Network 16

Network Data Center Construction Architecture 16

Daniel Bryant

DECEMBER 3, 2019

With the exception of AWS and it’s Outposts offering (although this is all subject to change at the AWS re:invent conference this week), both Google, with Anthos, and Azure, with Arc, appear to be betting on Kubernetes becoming the de facto multi-cloud deployment substrate. Microsoft also announced the 1.0

Technical Review 10

Technical Review Microservices Software Review Cloud 10

Cloudera

JUNE 16, 2022

Application integration and microservices: Real-time integration use cases required applications to have the ability to subscribe to these streams and integrate with downstream systems in real-time. The DevOps/app dev team wants to know how data flows between such entities and understand the key performance metrics (KPMs) of these entities.

Data 88

Data Disaster Recovery Analytics Microservices 88

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. Software architecture, Kubernetes, and microservices were the three topics with the greatest usage for 2021.

Trends 110

Trends Technical Review Technology Artificial Inteligence 110

O'Reilly Media - Ideas

JANUARY 25, 2021

Because we’re doing simple pattern matching against titles, usage for “AWS security” is a subset of the usage for “security.” 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. AWS Lambda) only change the nature of the beast.

Programming 145

Programming Cloud Artificial Inteligence Machine Learning 145

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. Python used to power client-side code, certain microservices, migration scripts, internal scripts. Data interdependence. Level of concurrent reads. Level of concurrent writes.

Architecture 21

Architecture Data Center Software Review Storage 21