instance support
play

Instance Support Elastic Load Balancing Amazon EC2 AWS Elastic - PowerPoint PPT Presentation

Jul 03, 2023 •194 likes •347 views

Instance Support Elastic Load Balancing Amazon EC2 AWS Elastic Beanstalk Amazon EC2 Container Amazon ECS VMWare Cloud on AWS Registry Amazon Lightsail AWS Outposts AWS Batch Container Functions (Serverless Compute) Amazon ECS* AWS

  1. Instance Support Elastic Load Balancing Amazon EC2 AWS Elastic Beanstalk Amazon EC2 Container Amazon ECS VMWare Cloud on AWS Registry Amazon Lightsail AWS Outposts AWS Batch

  2. Container Functions (Serverless Compute) Amazon ECS* AWS Lambda AWS Serverless Application AWS Fargate Repository (SAR) Amazon EC2 Container Registry

  3. Do Less To Generate More Value Hands-on Managed

  4. Do Less To Generate More Value VMWare Cloud on AWS AWS Outposts Hands-on Managed

  5. Do Less To Generate More Value VMWare Cloud on AWS AWS Outposts Amazon EC2 Hands-on Managed

  6. Do Less To Generate More Value VMWare Cloud AWS Batch on AWS AWS Outposts Amazon EC2 Hands-on Managed

  7. Do Less To Generate More Value VMWare Cloud AWS Elastic Amazon AWS Batch on AWS Beanstalk Lightsail AWS Outposts Amazon EC2 Amazon ECS Hands-on Managed

  8. Do Less To Generate More Value VMWare Cloud AWS Elastic Amazon AWS Batch AWS Fargate on AWS Beanstalk Lightsail AWS Outposts Amazon EC2 Amazon ECS Hands-on Managed

  9. Do Less To Generate More Value AWS Lambda VMWare Cloud AWS Elastic Amazon AWS Batch AWS Fargate on AWS Beanstalk Lightsail AWS Outposts Amazon EC2 Amazon ECS Hands-on Managed

  10. Instance Amazon EC2 Amazon ECS Container AWS Fargate Amazon ECS Functions (Serverless Compute) AWS Lambda AWS Fargate

  11. Instance Amazon EC2 VMWare Cloud AWS Elastic Amazon Amazon ECS AWS Outposts AWS Batch on AWS Beanstalk Lightsail Container AWS Fargate Amazon ECS Functions (Serverless Compute) AWS Lambda AWS Fargate

  12. How do I choose?

  13. How do I choose? Start here for maximum value in most cases AWS Lambda *Requires a serverless architecture

  14. How do I choose? Start here for maximum value in most cases AWS Lambda *Requires a serverless architecture Containerized applications AWS Fargate Fall back to Amazon ECS when you require more customizations

  15. How do I choose? Start here for maximum value in most cases AWS Lambda *Requires a serverless architecture Containerized applications AWS Fargate Fall back to Amazon ECS when you require more customizations Traditional designs Amazon EC2 Use a customized service when your use case aligns

Recommend

Learning for Categorization Sample Category Learning Problem A training example is an instance

Learning for Categorization Sample Category Learning Problem A training example is an instance

Categorization (review) Given: A description of an instance, x X , where X is the instance language or instance space . Text Categorization A fixed set of categories: C= { c 1 , c 2 , c n } Determine: The category of x

151 views • 4 slides
About any instance (fi rst instance, appeal, cassation, the ARTYUSHENKO & PARTNERS IS THE

About any instance (fi rst instance, appeal, cassation, the ARTYUSHENKO & PARTNERS IS THE

eff ective way we will use all remedies Legal opinions on specifi c issues About any instance (fi rst instance, appeal, cassation, the ARTYUSHENKO & PARTNERS IS THE ONLY REAL-ESTATE AND CONSTRUCTION BOUTIQUE LAW FIRM IN KAZAKHSTAN.

467 views • 8 slides
Instance recognition Thurs April 6 Kristen Grauman UT Austin Instance recognition Indexing

Instance recognition Thurs April 6 Kristen Grauman UT Austin Instance recognition Indexing

4/5/2017 Instance recognition Thurs April 6 Kristen Grauman UT Austin Instance recognition Indexing local features efficiently (last time) Spatial verification models Picking up from last time Instance recognition wrap up:

382 views • 17 slides
Recall: virtual machines (VMs) Each guest VM runs a complete OS instance over an isolated

Recall: virtual machines (VMs) Each guest VM runs a complete OS instance over an isolated

Remus: VM Replica/on Jeff Chase Duke University Recall: virtual machines (VMs) Each guest VM runs a complete OS instance over an isolated sliver of host physical memory. Hypervisors support migration

207 views • 16 slides
CPSC 213 2.4.4-2.4.6 Textbook 2ed: 3.9.1 1ed: 3.9.1 Introduction to Computer

CPSC 213 2.4.4-2.4.6 Textbook 2ed: 3.9.1 1ed: 3.9.1 Introduction to Computer

Reading Companion CPSC 213 2.4.4-2.4.6 Textbook 2ed: 3.9.1 1ed: 3.9.1 Introduction to Computer Systems Unit 1c Instance Variables and Structs 1 2 Instance Variables Structs in C (S4-instance-var) X anX Object instance of

666 views • 3 slides
1 Hypothesis Space Inductive Learning Hypothesis Restrict learned functions a priori to a

1 Hypothesis Space Inductive Learning Hypothesis Restrict learned functions a priori to a

Classification (Categorization) Given: A description of an instance, x X , where X is the CS 391L: Machine Learning: instance language or instance space . A fixed set of categories: C= { c 1 , c 2 , c n } Inductive

559 views • 9 slides
INSTANCE BASED LEARNING 2 Instance-Based Learning Distance function defines whats learned

INSTANCE BASED LEARNING 2 Instance-Based Learning Distance function defines whats learned

LEARNING FROM OBSERVATIONS INSTANCE BASED LEARNING 2 Instance-Based Learning Distance function defines whats learned Most instance-based schemes use Euclidean distance : a (1) and a (2) : two instances with k attributes Taking

705 views • 41 slides
Instance-level recognition Cordelia Schmid INRIA, Grenoble Instance-level recognition Search

Instance-level recognition Cordelia Schmid INRIA, Grenoble Instance-level recognition Search

Instance-level recognition Cordelia Schmid INRIA, Grenoble Instance-level recognition Search for particular objects and scenes in large databases Difficulties Finding the object despite possibly large changes in scale, viewpoint,

840 views • 73 slides
Instance-level recognition Cordelia Schmid INRIA, Grenoble Instance-level recognition Search

Instance-level recognition Cordelia Schmid INRIA, Grenoble Instance-level recognition Search

Instance-level recognition Cordelia Schmid INRIA, Grenoble Instance-level recognition Search for particular objects and scenes in large databases Difficulties Finding the object despite possibly large changes in scale, viewpoint,

1.12k views • 74 slides
CSE 143 Substituting Derived Classes Recall that an instance of a derived class can always

CSE 143 Substituting Derived Classes Recall that an instance of a derived class can always

CSE 143 Substituting Derived Classes Recall that an instance of a derived class can always //client function (not a method) be substituted for an Dynamic Dispatch and Virtual void printPoint( Point pt ) instance of a base class {

196 views • 4 slides
Divide And Conquer Small And Large Instance Small instance. Sort a list that has n <=

Divide And Conquer Small And Large Instance Small instance. Sort a list that has n <=

Divide And Conquer Small And Large Instance Small instance. Sort a list that has n <= 10 elements. Find the minimum of n <= 2 elements. Distinguish between small and large instances. Large instance. Small instances

243 views • 9 slides
Divide And Conquer Small And Large Instance Small instance. Sort a list that has n <=

Divide And Conquer Small And Large Instance Small instance. Sort a list that has n <=

Divide And Conquer Small And Large Instance Small instance. Sort a list that has n <= 10 elements. Find the minimum of n <= 2 elements. Distinguish between small and large instances. Large instance. Small instances

86 views • 6 slides
__ __st str__ __ If implemented, creates a string representation of an instance of the

__ __st str__ __ If implemented, creates a string representation of an instance of the

3/31/20 CS 224 Introduction to Python Spring 2020 Class #25: Special Methods __ __st str__ __ If implemented, creates a string representation of an instance of the class used to pretty print the instance Invoked explicitly

336 views • 11 slides
Multiple Instance Detection Network with Online Instance Classifier Refinement Peng Tang

Multiple Instance Detection Network with Online Instance Classifier Refinement Peng Tang

Huazhong University of Science and Technology 1 Multiple Instance Detection Network with Online Instance Classifier Refinement Peng Tang pengtang@hust.edu.cn Huazhong University of Science and Technology Weakly-supervised visual learning

784 views • 34 slides
Instance Compression and Succint PCPs for NP Sivaramakrishnan.N.R. March 31, 2012 Outline

Instance Compression and Succint PCPs for NP Sivaramakrishnan.N.R. March 31, 2012 Outline

Instance Compression and Succint PCPs for NP Sivaramakrishnan.N.R. March 31, 2012 Outline Basics of Parameterized Complexity What are we looking for? Effecient Computation The Vertex Cover Problem Instance Compression Introduction

1.59k views • 84 slides
I Instance-level recognition t l l iti Cordelia Schmid INRIA Instance-level recognition

I Instance-level recognition t l l iti Cordelia Schmid INRIA Instance-level recognition

I Instance-level recognition t l l iti Cordelia Schmid INRIA Instance-level recognition Instance level recognition Particular objects and scenes large databases Particular objects and scenes, large databases Application pp Search

808 views • 66 slides
Challenges 2018 Megvii (Face++) Team lizeming@megvii.com I. COCO1 8 Instance Seg Zeming LI

Challenges 2018 Megvii (Face++) Team lizeming@megvii.com I. COCO1 8 Instance Seg Zeming LI

MSCOCO Instance Segmentation Challenges 2018 Megvii (Face++) Team lizeming@megvii.com I. COCO1 8 Instance Seg Zeming LI Jian SUN Yueqing ZHUANG Xiangyu ZHANG Gang YU Overview Improvements The results is obtained on test-dev Mask mmAP

691 views • 37 slides
OOP terminology Object: Dynamic entity that receives messages Encapsulates instance

OOP terminology Object: Dynamic entity that receives messages Encapsulates instance

OOP terminology Object: Dynamic entity that receives messages Encapsulates instance variables (generally imperative) and methods (aka instance methods) Special variable self refers to the host object Class: Construct for

450 views • 18 slides
OOP terminology Object: Dynamic entity that receives messages Encapsulates instance

OOP terminology Object: Dynamic entity that receives messages Encapsulates instance

OOP terminology Object: Dynamic entity that receives messages Encapsulates instance variables (generally imperative) and methods (aka instance methods) Special variable self refers to the host object Class: Construct for

937 views • 17 slides
TravelingSalesman Problem Instance:

TravelingSalesman Problem Instance:

9/22/09 Genotypes and Phenotypes PartIITheReturnoftheSalesman TravelingSalesman Problem Instance: Ncitieswithdistancesbetweenpairsofcities Saidanotherway:

380 views • 14 slides
Static Methods vs. Instance Methods 7 January 2019 OSU CSE 1 Common Features Static and

Static Methods vs. Instance Methods 7 January 2019 OSU CSE 1 Common Features Static and

Static Methods vs. Instance Methods 7 January 2019 OSU CSE 1 Common Features Static and instance methods: May have formal parameters, of any types May return any type, or nothing ( void ) May be public or private May

733 views • 17 slides
What is SQL Database Managed Instance? SQL Database (DBaaS) A flavor of SQL DB that designed to

What is SQL Database Managed Instance? SQL Database (DBaaS) A flavor of SQL DB that designed to

What is SQL Database Managed Instance? SQL Database (DBaaS) A flavor of SQL DB that designed to provide easy app migration to a fully managed PaaS Managed Elastic Single DB Instance Pool Unmatched app Unmatched PaaS Favorable business

260 views • 7 slides
Explaining the Stars: Weighted Multiple-Instance Learning for Aspect-Based Sentiment Analysis

Explaining the Stars: Weighted Multiple-Instance Learning for Aspect-Based Sentiment Analysis

Motivation Multiple-instance learning The proposed model Experiments Conclusion Explaining the Stars: Weighted Multiple-Instance Learning for Aspect-Based Sentiment Analysis Nikolaos Pappas and Andrei Popescu-Belis Idiap Research Institute,

499 views • 23 slides
A meta-learning system for multi-instance classification Gitte Vanwinckelen and Hendrik Blockeel

A meta-learning system for multi-instance classification Gitte Vanwinckelen and Hendrik Blockeel

A meta-learning system for multi-instance classification Gitte Vanwinckelen and Hendrik Blockeel KU Leuven, Belgium Motivation Performed extensive evaluation of multi-instance (MI) learners on datasets from different domains

330 views • 19 slides

More recommend