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Load Balancer Service Degradation, March 25, 2021

Netlify

On March 25, 2021, between 14:39 UTC and 18:46 UTC we had a significant outage that caused around 5% of our global traffic to stop being served from one of several load balancers and disrupted service for a portion of our customers. At 18:46 UTC we restored all traffic remaining on the Google load balancer. What happened.

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IoT Insights Part 1: A Story of Embedded Software in the IoT World

Gorilla Logic

In the next post, I will show how Gorillas have developed full-fledged serverless solutions using AWS. When we got to the point of defining the title of the course, someone mentioned to me that “IoT” ( Internet of Things ) was the new fancy name for “Embedded Software”. Security is, of course, one of the biggest topics in IoT.

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Top 8 uses of cloud computing

CircleCI

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. Platform as a service (PaaS).

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Atlassian – Self-hosted Cloud versus Self-hosted In House, What’s Better?

Modus Create

At Modus Create, we often provide guidance and help customers with migrating and expanding their Atlassian product portfolio with deployments into AWS and Azure. Over the course of an Atlassian products’ lifespan within your organization, its hosting requirements will change in line with how pivotal of an application it becomes to your teams.

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Hack day experiments with the cloud and orchestration of serverless functions

Bernd Rucker

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.

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Engineering dependability and fault tolerance in a distributed system

High Scalability

Treating failure as a matter of course. Wherever possible, layers are designed to be stateless as a key enabler not only of availability, but also of scalability. You have to have a way of detecting resource availability, and to load-balance among redundant resources. Fault tolerant designs treat failures as routine.

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Do I really need Kubernetes?

CircleCI

For instance, you can scale a monolith by deploying multiple instances with a load balancer that supports affinity flags. Various patterns allow applications to scale even though they are, by design, not very scalable. Together, these practices will make your life easier if you do eventually need Kubernetes.