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Building Resilient Public Networking on AWS: Part 2

Xebia

Fargate Cluster: Establishes the Elastic Container Service (ECS) in AWS, providing a scalable and serverless container execution environment. Public Application Load Balancer (ALB): Establishes an ALB, integrating the previous SSL/TLS certificate for enhanced security. Here are some useful tools for quick verification.

AWS 147
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AWS Microservices Architecture – Enabling Faster Application Development

RapidValue

Some of the key AWS tools and components which are used to build Microservices-based architecture include: Computing power – AWS EC2 Elastic Container Service and AWS Lambda Serverless Computing. Networking – Amazon Service Discovery and AWS App Mesh, AWS Elastic Load Balancing, Amazon API Gateway and AWS Route 53 for DNS.

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Important Practices for DevOps in the Cloud

OTS Solutions

Security is supposed to be part of the automated testing and should be built into the continuous integration and deployment processes. Automated performance testing Another important factor to think about when it comes to being a competent mobile app developer is automated performance testing.

DevOps 130
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Deploy a serverless workload on Kubernetes using Knative and ArgoCD

CircleCI

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. Monitoring and accessing a sample application.

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Infrastructure Engineer: Key Duties, Skills, and Background

Altexsoft

Using data from continuous monitoring, infrastructure engineers plan software updates, system upgrading, and implementation of new elements — both hardware and software — into the existing IT environment. Continuous integration and continuous delivery (CI/CD) platforms. Documentation and reporting.

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The Good and the Bad of Kubernetes Container Orchestration

Altexsoft

For testing purposes, a cluster may have a single node but on average it uses five nodes with 16 to 32 GB of memory each in the public clouds and nine nodes with 32 to 64 GB when deployed on-premises Components of a Kubernetes cluster. Kubernetes Certified Application Developer (KSAD) with Tests on Udemy.

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Improve Performance, Security, and SEO with JAMStack

Modus Create

If you ever need a backend, you can create microservices or serverless functions and connect to your site via API calls. JAM Stack embraces continuous delivery, with atomic deploys and version control. Function as a Service (Serverless) options: Netlify , AWS with SAM framework , Azure Functions and Google Cloud.