#tetration

NOTE-to-SELF: feb 12, 2024 Tetration presents a gigantic number Body-Mind-Spirit can not imagine. Three in One Concepts is one of the many types of specialized kinesiology. Specialized Kinesiology makes intensive use of manual muscle testing. Using manual muscle testing, we Test Operate Test Exit (TOTE) [1] on a problem at hand towards resolving that problem. In determining the severity of a…

"Prove" 4 = 2 Using Infinite Exponents?! Can You Find The Mistake?

Video https://youtu.be/DmP3sFIZ0XE

Tom Edsall, explaining how Tetration Analytics is Cisco’s next moonshot:

One day, we envision a self-driving data center – similar to the self-driving car:

When you say to a self-driving car, “I want to drive from San Jose to San Francisco,” you are describing what you want the car to do, what is your intent.  That car must then sense the conditions on the road, the cross-traffic, its speed, etc.  It must adhere to the traffic laws and be defensive to intentional and unintentional threats.

We at Cisco have that vision for the data center, and we want to make sure you make it to your destination – where you intended to go, even if that’s the moon.It is possible. And we are well on our way.

Tetration is an unsupervised machine learning platform that collects information about every single communication that your applications, across any data center or cloud, share within their components and with the rest of the world.

It helps customers understand their application dependencies, how to migrate to a whitelist policy model, and accelerates troubleshooting and problem solving enormously. It uses sensors both in software agents in physical and virtual servers and in the network itself to collect this information at scale in real-time. Every single flow, to provide full (for real) visibility and automate policy creation.  

Now, it’s ready to enforce that policy automatically from those same sensors. Block undesired traffic closest to where it originates. Policy that travels with the workload wherever it goes, across private and public clouds, across any hypervisor, across any infrastructure.

IDC reviews Cisco Tetration Analytics:

In a world characterized by increased virtualization, cloud computing, SDN, and DevOps — and now containers and microservices — having comprehensive visibility into every flow and packet metadata is essential. Real-time analytics — based on recent innovations in machine learning, behavior analysis, and visualization — is what facilitates the pervasive visibility required to gain insight into and control over application mobility, security, and datacenterwide infrastructure.

For the enterprise, the business benefits that derive from utilization of real-time analytics in the datacenter are compelling. As such, this approach is the missing ingredient needed to enable datacenter operations to respond to the challenges of digital transformation.

1

Death told the girl that she could see ten more times the boy she loved, before she would die by sundown on the day of the last meeting.

She met the boy the following day. They chatted, laughed, strolled along on the pavement together. At the end of the day, the boy left and the girl waved him goodbye.

Returning home alone, the girl made one mark on the wall with a piece of chalk.

Another two days later the boy returned, and they cherished another day spent together.

The girl went home to make a second mark on the wall.

Regularly, the boy showed up to meet her every other day, and each day the girl would add one stroke to the marks on the wall.

The girl met the boy for the last time on the third week, on the twentieth day. The sun set, and she left the boy, left the world, and had no regrets.

2

Death told the girl that she could see ten more times the boy she loved, before she would die by sundown on the day of the last meeting.

She met the boy the following day.

At the end of the day, the boy left and the girl waved him goodbye. She made one mark on the wall with a piece of chalk.

Another two days later the boy returned.

The following meeting was on the fourth day, then the eighth. As the marks on the wall accumulated, the girl realized she could predict the time of the next meeting, and she anticipated eagerly each of those days.

Thirty-two days was a little more than one month, sixty-four a little more than two.

On the one thousand and twenty-fourth day - a little less than three years later - the girl and the boy met for the last time. She held him and they looked into the sunset until her last moments.

3

Death told the girl that she could see ten more times the boy she loved, before she would die by sundown on the day of the last meeting.

She met the boy the following day.

Two days later, the second meeting.

Then, the fourth.

Then the sixteenth. This day the girl cried as she waved the boy goodbye, because she knew that it will likely be a very, very long time until the next time they met.

Every day after that winter evening the girl would look through the window, but she did not seek for the boy for she knew there was a time for the next meeting and it was not yet that time. One more mark appeared on the wall the end of each day, marking one more small step towards the two-hundred and fifty-sixth.

The two-hundred and fifty-sixth day after that was a day in the following autumn.

The boy did not appear.

The leaves fell, and once again winter arrived. No sign of the boy.

The girl waited.

Year after year.

The wall was covered with marks of white, while the piece of chalk diminished until there was no longer enough of it to write with.