Remove Network Remove Scalability Remove Serverless Remove Storage
article thumbnail

What is Cloud Computing? According to ChatGPT.

High Scalability

Cloud computing is a model of computing that delivers computing services over the internet, including storage, data processing, and networking. It allows users to access and use shared computing resources, such as servers, storage, and applications, on demand and without the need to manage the underlying infrastructure.

Cloud 201
article thumbnail

AWS observability: AWS monitoring best practices for resiliency

Dynatrace

Visibility into system activity and behavior has become increasingly critical given organizations’ widespread use of Amazon Web Services (AWS) and other serverless platforms. AWS provides a suite of technologies and serverless tools for running modern applications in the cloud. Here are a few of the most popular. Amazon EC2.

Insiders

Sign Up for our Newsletter

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

Trending Sources

article thumbnail

What is infrastructure monitoring and why is it mission-critical in the new normal?

Dynatrace

IT infrastructure is the heart of your digital business and connects every area – physical and virtual servers, storage, databases, networks, cloud services. This shift requires infrastructure monitoring to ensure all your components work together across applications, operating systems, storage, servers, virtualization, and more.

article thumbnail

Stuff The Internet Says On Scalability For June 22nd, 2018

High Scalability

Xtracerx : for me the biggest value to serverless functions is how nicely they tie in to the ecosystem of a cloud provider. using them to respond to storage events on s3 or database events or auth events is super easy and powerful. Three major roadmap updates in 29 days with serious spec changes, and it got worse from there.

Internet 113
article thumbnail

Dynatrace extends contextual analytics and AIOps for open observability

Dynatrace

How can we optimize for performance and scalability? Examples of specific domain knowledge where extended topology is used include the representation of concepts like Kubernetes or serverless functions in Dynatrace. Common questions include: Where do bottlenecks occur in our architecture? Does a certain issue impact a specific service?

Analytics 246
article thumbnail

What is a message queue? How an observability platform eases message queue monitoring

Dynatrace

Consumers store messages in a queue — usually in a buffer or on a storage medium — until they can process and delete them. Without it, sending an email over a long distance would require the immediate availability of every node on the routing network to forward each message. A producer creates the message, and a consumer processes it.

article thumbnail

What is a message queue? How an observability platform eases message queue monitoring

Dynatrace

Consumers store messages in a queue — usually in a buffer or on a storage medium — until they can process and delete them. Without it, sending an email over a long distance would require the immediate availability of every node on the routing network to forward each message. A producer creates the message, and a consumer processes it.