Openxcell

MAY 12, 2023

Millions of dollars are spent each month on public cloud companies like Amazon Web Services, Microsoft Azure, and Google Cloud by companies of all sizes. In comparison of AWS, GCP, and Azure’s capabilities and maturity, AWS is now significantly larger than both Azure and Google Cloud Platform.

Google Cloud 52

Google Cloud Azure AWS Cloud 52

Mobilunity

DECEMBER 26, 2024

This could entail decomposing monolithic applications into microservices or employing serverless technologies to improve scalability, performance, and resilience. Configure load balancers, establish auto-scaling policies, and perform tests to verify functionality. How to prevent it?

AWS 52

AWS Cloud Weak Development Team DevOps 52

iTexico

JANUARY 16, 2020

The application had many security issues, leaving them wide open to many Trojan viruses infecting every computer they touched and leaving field employees unable to do their jobs with a serverless application. Proposed a move to Microsoft Azure in order to reduce fixed costs of virtual machines. Created a virtual machine in Azure.

Azure 10

Azure Cloud Virtualization Load Balancer 10

CircleCI

OCTOBER 14, 2022

Creating a pipeline to continuously deploy your serverless workload on a Kubernetes cluster. The serverless approach to computing can be an effective way to solve this problem. Serverless allows running event-driven functions by abstracting the underlying infrastructure. Microsoft Azure account. Prerequisites.

Serverless 52

Serverless Azure Policies Resources 52

Bernd Rucker

AUGUST 18, 2017

The latter might need computing power for the PDF creation, so a scalable serverless function might make sense here. The plan was quickly drawn in my sketch book: And we prepared logins for some of the well known cloud providers: AWS, Microsoft Azure, Google Cloud, IBM Bluemix, Pivotal, Heroku and OpenShift. A single function.

Serverless 40

Serverless Cloud Azure AWS 40

Kentik

FEBRUARY 20, 2023

For example, a particular microservice might be hosted on AWS for better serverless performance but sends sampled data to a larger Azure data lake. This might include caches, load balancers, service meshes, SD-WANs, or any other cloud networking component. The resulting network can be considered multi-cloud.

Network 97

Network Infrastructure Cloud Artificial Inteligence 97

Altexsoft

AUGUST 31, 2021

A tool called load balancer (which in old days was a separate hardware device) would then route all the traffic it got between different instances of an application and return the response to the client. Load balancing. For serverless development. API gateways are becoming a go-to way for serverless computing.

Microservices 64

Microservices Serverless How To Load Balancer 64

Modus Create

AUGUST 5, 2020

If you ever need a backend, you can create microservices or serverless functions and connect to your site via API calls. Function as a Service (Serverless) options: Netlify , AWS with SAM framework , Azure Functions and Google Cloud. What are the Benefits? JAMStack removes those complexities. Final Thoughts.

Performance 71

Performance Serverless Web Development Load Balancer 71

Altexsoft

FEBRUARY 24, 2023

Kubernetes load balancer to optimize performance and improve app stability The goal of load balancing is to evenly distribute incoming traffic across machines, enabling an app to remain stable and easily handle a large number of client requests. But there are other pros worth mentioning.

Weak Development Team 83

Weak Development Team Load Balancer Technical Review Microservices 83

Cloudera

MARCH 14, 2023

When a draft is ready to be deployed in production, it is published to the Catalog, and can be productionalized with serverless DataFlow Functions for event-driven, micro-bursty use cases or auto-scaling DataFlow Deployments for low latency, high throughput use cases.

Agile 84

Agile Development Data Serverless 84

Perficient

JULY 20, 2023

Elastic Load Balancing: Implementing Elastic Load Balancing services in your cloud architecture ensures that incoming traffic is distributed efficiently across multiple instances. AWS, Azure, Google Cloud) that allow you to commit to using specific resources over a defined period at a discounted rate.

Cloud 52

Cloud Strategy Weak Development Team Load Balancer 52

Confluent

SEPTEMBER 20, 2019

Cloud Memorystore, Amazon ElastiCache, and Azure Cache), applying this concept to a distributed streaming platform is fairly new. Moreover, to create a VPC, the user must own the compute and network resources (another aspect of a hosted solution) and ultimately prove that the service doesn’t follow serverless computing model principles.

Software Review 21

Software Review Technical Review Storage Cloud 21

James Shore

MAY 31, 2021

Your network gateways and load balancers. For example, an organization that doesn’t want to manage data center hardware can use a cloud-based infrastructure-as-a-service (IaaS) solution, such as AWS or Azure. By system architecture, I mean all the components that make up your deployed system. Even third-party services.

System Architecture 94

System Architecture Architecture Systems Review System 94

CircleCI

SEPTEMBER 7, 2021

Whether you are on Amazon Web Services (AWS), Google Cloud, or Azure. You can spin up virtual machines (VMs) , Kubernetes clusters , domain name system (DNS) services, storage, queues, networks, load balancers, and plenty of other services without lugging another giant server to your datacenter. Serverless.

Cloud 52

Cloud Backup Disaster Recovery Serverless 52

CircleCI

NOVEMBER 17, 2022

This strategy could entail using purely consumer-based providers (such as AWS, Azure, and GCP), using different clouds within the same provider, or including a mix of private cloud providers. Even the biggest cloud providers have outages, like Google , Azure , and AWS.

Strategy 52

Strategy Organization Azure Disaster Recovery 52

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

Altexsoft

SEPTEMBER 21, 2023

Instead, it acts as a smart load balancer that forwards requests to appropriate nodes (master or data nodes) in the cluster. Replicas Replica shards are copies of your primary shards and serve two main purposes: fault tolerance and load balancing. Having replica shards ensures your data is not lost if a node fails.

Weak Development Team 52

Weak Development Team Analytics Engineering Development Team Review 52

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

The Citus Data

DECEMBER 11, 2021

In this post you’ll learn about the database challenges the team faced as the dashboard needed to scale—with an eye toward how the UKHSA team uses Azure, the Azure Database for PostgreSQL managed service, and the Citus extension which transforms Postgres into a distributed database. metrics published daily.

Azure 99

Azure Open Source Software Review Analytics 99