Perficient

JULY 20, 2023

It offers unparalleled scalability, flexibility, and cost-effectiveness. Elastic Load Balancing: Implementing Elastic Load Balancing services in your cloud architecture ensures that incoming traffic is distributed efficiently across multiple instances. Docker) allows for better resource utilization.

Cloud 52

Cloud Strategy Weak Development Team Load Balancer 52

CircleCI

OCTOBER 20, 2020

Starting with a collection of Docker containers, Kubernetes can control resource allocation and traffic management for cloud applications and microservices. It is tempting to think that only microservices orchestrated via Kubernetes can scale — you’ll read a lot of this on the internet.

Microservices 69

Microservices Technical Review Load Balancer Azure 69

CircleCI

OCTOBER 20, 2022

Containers work hand in hand with modern cloud native development practices by making applications more portable, efficient, and scalable. Azure Kubernetes Service (AKS). Azure Kubernetes Service (AKS) is Azure’s fully managed container service that simplifies deploying a Kubernetes cluster in Azure. Networking.

Open Source 52

Open Source Azure Resources Load Balancer 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

Gorilla Logic

JULY 18, 2018

When I started to use container microservices (specifically, using docker containers), I was happy and thought my applications were amazing. I needed something to manage the containers, because they needed to be connected to the outside world for tasks such as load balancing, distribution and scheduling. The key-value tags (i.e.

Load Balancer 59

Load Balancer Software Review Open Source Scalability 59

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

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.

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 87

Azure Open Source Software Review Analytics 87

High Scalability

NOVEMBER 25, 2019

Load Balancers / Reverse Proxy. Python used to power client-side code, certain microservices, migration scripts, internal scripts. Tens of petabytes of data stored in our servers and other object stores such as GCS, S3 and Azure Blobstore. Egnyte Connect Tech Stack. Cloud Platform. Google cloud. Hosted Data Centers.

Architecture 21

Architecture Data Center Software Review Storage 21