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Kubernetes in the wild report 2023

Dynatrace

Accordingly, the remaining 27% of clusters are self-managed by the customer on cloud virtual machines. On-premises data centers invest in higher capacity servers since they provide more flexibility in the long run, while the procurement price of hardware is only one of many cost factors.

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How digital experience monitoring helps deliver business observability

Dynatrace

Collected telemetry data may include the type of device being used (cellphone, tablet, smart watch), geographical location, server response time, performance, and security. PC, smartphone, server) or virtual (virtual machines, cloud gateways). Endpoints can be physical (i.e.,

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A case for ELT

Abhishek Tiwari

Cheap storage and on-demand compute in the cloud coupled with the emergence of new big data frameworks and tools are forcing us to rethink the whole ETL and data warehousing architecture. More importantly, ELT architecture is stateless and elastic because compute and storage layers are decoupled and they can scale independently.

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How to Easily Deploy an IMDG in the Cloud

ScaleOut Software

As more computing resources are needed to handle a growing workload, virtual servers (also called cloud “ instances ”) can be added to take up the slack. For example, consider a web server farm handling requests for web users or mobile apps. The Need to Keep It Simple. Deploying an IMDG in the Cloud.

Cloud 40
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How to Easily Deploy an IMDG in the Cloud

ScaleOut Software

As more computing resources are needed to handle a growing workload, virtual servers (also called cloud “ instances ”) can be added to take up the slack. For example, consider a web server farm handling requests for web users or mobile apps. The Need to Keep It Simple. Deploying an IMDG in the Cloud.

Cloud 40
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Are Imposter Domains Re-Publishing Your Website?

Smashing Magazine

For example, someone might web scrape all the product pages of a competitor’s retail site to harvest information about products being offered and current pricing to try to gain a competitive edge. lets a user “mark up” a web page with a virtual yellow highlighter and share the page with others.

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10 Lessons from 10 Years of Amazon Web Services

All Things Distributed

This becomes an even more important lesson at scale: for example, as S3 processes trillions and trillions of storage transactions, anything that has even the slightest probability of error will become realistic. A good litmus test has been that if you need to SSH into a server or an instance, you still have more to automate.

AWS 144