Docker Tutorial for Beginners: What is Docker Container?



Docker tutorials for beginners, what is docker container part 1. Check out full tutorial https://goo.gl/qw3P4n

Docker Tutorials for Beginners: In this module will focus on containerization technology. we will go over the evolution of computing software development and DevOps processes. we will witness how the increase in scale and complexity has led to the popularity of containers and container related technologies like a docker. it has in some years since Marc Andreessen the founder of mosaic and Netscape coined the phrase software is eating the world. but indeed it is true today the idea that every company needs to become a software company is considered almost a cliche.

No matter your industry you are expected to be reimagining your business. to make sure you are not the next local taxi company or hotel chain but completely off-guard by your equivalent of uber or Airbnb. modern day software consists of ubiquitous mobile apps and websites.

Many of these apps and other applications are a critical part of our daily lives. we rely on them for mundane tasks like paying bills everyday banking getting in touch with our colleagues and loved ones. doing business in the 21st century means embracing the world where software quite literally powers everything.

From televisions to cars and from social media to banking systems. let's explore the implications of this advancement by looking at the evolution of computing over the years. software development has seen a paradigm shift in the last few
decades. from the beginning of completing era in the 1960s up to late 1990s, the software was built by relatively small teams. these things use large monolithic software stacks to build relatively simple and smaller applications which were used by 12 few tens of people.

These applications were deployed on a central network server which the users connected via their terminals and use the application. these terminals use proprietary protocols to connect to the central servers. then in the late 1990s, web started to gain tremendous popularity the web applications began to grow in size and complexity. we needed few more people in our engineering departments to build these applications.

They began using layered stacks and specialized components for different parts of the system. these web applications were deployed on small to mid-size server farms and users connected to these applications over the public internet using their web browsers and popular TCP and HTTP protocols. now comes the current era of ubiquitous connectivity and ever-increasing adoption of mobile computing.

To cater to these demands the model mobile apps and web applications are reaching global scale and billions of users. these app and web applications are built by larger teams which are geographically distributed. they build those large applications by stitching together a collection of services API or microservices. these services use a variety of stacks and are independent of each other .the services run on clusters spanning thousands or tens of thousands of servers or nodes and the consumers use these applications over the cloud and the public internet using their mobile tablet and desktop devices. since software release cycles are the essential part of software development process it also evolved along with the overall software development paradigm shift.

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Apache Cloudstack Tutorial: Introduction To Cloudstack Part 1

Apache Cloudstack Tutorial for Beginners Introduction to Cloudstack Part 1

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Video Transcript: 

Hello and welcome to this module of this course on Apache CloudStack. in this the module we will introduce you to Apache
cloud stock we will go over its history in brief, speak about the core components and key concepts and terminology associated with Apache CloudStack. this the module forms the foundation for the
upcoming modules where we will start to implement our own cloud environment using a patchy cloud stack. 

Before we talk about Apache cloud stack let's quickly try to understand the basics of cloud computing. traditional methods of
hosting and deploying IT infrastructure. meant we had to deploy monolithic data centers and physical servers. the lead time for this heavy infrastructure the deployment was few days to few weeks. it
needed a large amount of capital spending upfront this model often led to energy wastage low utilization and high efforts for the administration of hardware servers. 

It was rather difficult to scale these operations very quickly whether it was to expand the operation to meet growing demand or to shrink operations due to reasons like seasonality. cloud is a generic term used for a platform that provides hosted services over a network. at the core of cloud computing is hardware virtualization because of this cloud infrastructure can provide us
access to shared pool of computing resources which could be rented or leased on on-demand. 

Basis some of the main benefits and drivers behind cloud computing is cloud computing allows companies to avoid upfront
infrastructure costs and focus on projects that differentiate their
services. and products in the recent years this has enabled technology startups to invent and come up with innovative technologies and products without worrying about spending a lot on front fixed infrastructure. cloud computing allows enterprises to get their applications up and running faster with improved manageability and less maintenance.

Cloud computing enables us to rapidly adjust resources to meet fluctuating and unpredictable business demand. major cloud providers are vastly trying to use renewable energy sources to run their data centers. and they're also coming up with more efficient data center designs to reduce energy consumptions
per unit of the computing resource. this obviously, has tremendous advantages for the environment. since cloud providers can manage their data centers more efficiently and cheaply these savings can be passed on to the cloud consumers.

The availability of high capacity networks low-cost computers and storage devices, as well as the widespread adoption of hardware virtualization service-oriented architecture and atomic utility computing, have led to a growth in cloud computing. companies can scale up as computing needs increase and then scale down again as demands decrease cloud computing. has become a highly demanded service or utility due to the advantages of high computing power cheap the cost of service high-performance
scalability accessibility as well as availability. some cloud vendors are experiencing growth rates of 50% year-over-year to learn more about cloud Compound.

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Legal Tech Analytic: Barbara Figari Case Win Rates Analysis | Uber Spying | Toby Unwin

Legal Tech Analytic, Barbara Figari Case Win Rates Analysis and Uber Spying by Toby Unwin. Check out legal Tech Adviser in Premonition Analytics and Get A Free Demo



Legal Tech Analytic, Barbara Figari Case Win Rates Analysis and Uber Spying by Toby Unwin.  Check out legal Tech Adviser in Premonition Analytics and Get A Free Demo https://www.premonition.ai/take-a-tour/

Video Transcript:
0:16 blue and welcome to case thanks uber has
0:21 been sued again and it comes as a
0:24 surprise that many of you there at home
0:26 but I'm afraid it's true it's alleged
0:29 that uber has what they call a gourd
0:31 mode which they used to spy on celebs
0:35 politicians and friends of uber
0:39 employees allegedly of course now
0:41 personally we are a premonition love
0:44 uber and we think that a gross violation
0:47 of privacy is a very small price to pay
0:50 for great service and low fares but of
0:54 course there are always people that
0:55 disagree like Sam ward Sam has filed a
1:01 case against uber and he is a legend age
1:06 discrimination being fired for
1:09 whistleblowing also that uber has
1:13 improperly destroyed documents relating
1:17 to pending litigation and Hindus
1:20 investigations now the plaintiff
1:25 attorney in this case is Barbara figari
1:28 she's had three recent cases in this
1:32 court to a closed fifty percent win rate
1:38 the defense attorney is Andres purchase
1:41 he's had two recent cases in this court
1:45 the judge is the Honorable John Kate
1:48 Stewart he has 70 wrongful discharge
1:52 cases make up three-point-four percent
1:54 of his docket versus the one-point-seven
1:57 percent caught average so a little bit
1:59 more for him than normal run too fast
2:02 docket in 22 days versus 205 average and
2:08 has a thirty-nine percent overall
2:11 plaintiff win rate versus 33 court
2:14 average so slightly higher but within
2:18 the norms its wrongful discharge
2:23 plaintiff rate is thirty-five percent as
2:27 opposed
2:27 to the court average of thirty so he's
2:29 likely on the plaintiffs side that
2:31 within the norm now both attorneys have
2:36 had recent cases in front of them both
2:38 have had one wrongful termination case
2:41 in front of him and both of them lost
2:46 each of these cases last case we saw
2:50 here was with Andres bertrise again for
2:54 wrongful discrimination again in front
2:57 of Judge Stewart and he lost it and uber
3:01 has just rehired him doesn't make sense
3:05 to us either you should uber effect well
3:09 we look at the court and we look at
3:11 wrongful termination in front of Judge
3:13 Stewart and we've run the numbers we
3:15 will see that Mark Wasserman has two
3:20 appearances with a hundred percent win
3:22 right now there's a sixty-five percent
3:26 chance that ogre is going to win this
3:28 hair which is the basically the win rate
3:31 for wrongful termination in front of
3:34 this judge but it would obviously be
3:37 nearer one hundred percent with Mark
3:40 wassailing don't forget that law is an
3:43 insider's game and you're going to want
3:44 to stay inside don't forget to Like
3:47 share and subscribe we'll see you next
3:49 time

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Legal Tech: How Good Is Your Lawyer? - Premonition Analytics



Legal tech, How Good Is Your Lawyer? Learn Premonition Analytics and Get A Free Demo https://www.premonition.ai/take-a-tour/


Premonition is an Artificial Intelligence system that mines Big Data to find out which Attorneys win before which Judges. 
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Docker Tutorial for Beginners: What is Docker's Container? - Part 1

 
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