Cloud watch
•Download as PPTX, PDF•
0 likes•697 views
Amazon CloudWatch is a monitoring service that allows users to monitor AWS cloud resources and applications running on AWS. It monitors Amazon service metrics, custom application metrics, and logs. CloudWatch provides graphs of metric data, allows users to set alarms, and integrate with auto scaling. Basic monitoring includes seven pre-selected metrics every five minutes at no cost, while detailed monitoring offers all metrics every minute for a fee.
Report
Share
Report
Share
Recommended
Cloudwatch: Monitoring your AWS services with Metrics and Alarms
Brief intro to AWS Cloudwatch. Motivation, examples and use cases. Shows how you can collect and monitors metrics for all your AWS services to better control your applications and infrastructure. #cloud-computing #aws #amazon-web-services
Cloudwatch: Monitoring your Services with Metrics and Alarms
CloudWatch is AWS's monitoring and metrics service that collects data from AWS services and allows users to set alarms and view metrics. It collects both built-in metrics provided by AWS services as well as custom metrics defined by users. CloudWatch allows viewing metrics and setting alarms in the console, through APIs, and via integration with other AWS services. It provides visibility into applications and infrastructure to help with decisions around capacity planning and troubleshooting.
RMG203 Cloud Infrastructure and Application Monitoring with Amazon CloudWatch...
Amazon CloudWatch provides AWS customers the monitoring platform for keeping tabs on their cloud infrastructure and applications. In this session, we show you how to use CloudWatch to monitor vital operational resource data such as EC2 Instance CPU Utilization, ELB Request Counts, RDS Read Throughput and much more. Learn how to configure CloudWatch Alarms to alert you any time services are operating outside of ranges you define. Finally, see how you can monitor applications on your EC2 instances or outside of AWS.
AWS CloudWatch
CloudWatch provides cloud and network monitoring services including metrics, alarms, and logs. It collects data points that are organized into metrics defined by name, namespace, and dimensions. Metrics are stored for 2 weeks and can be viewed as statistics aggregated over specified time periods. CloudWatch also monitors logs through log groups and streams. Alarms can be set to trigger actions when monitored metrics exceed thresholds.
Cloud watchingwithcloudwatch
Slides from presentation at Amazon's 'Inside the Cloud' (http://insidethecloud.eventbrite.com/) event in Dublin on Thursday, May 2, 2013
AWS cloud watch
How does AWS CloudWatch affect efficient monitoring of our system. edrone's Case Study: Cloud & Network Monitoring Services.
Using AWS CloudWatch Custom Metrics and EC2 Auto Scaling -VSocial Infrastructure
Using AWS CloudWatch Custom Metrics and EC2 Auto Scaling -VSocial InfrastructureChristopher Drumgoole
I gave a presentation at the AWS User Group, Singapore on 24 Oct 2013 explaining how we used EC2 Auto Scaling with CloudWatch Custom Metrics for our product.AWS Monitoring & Logging
The document discusses various AWS services for monitoring, logging, and security. It provides examples of AWS CloudTrail logs and best practices for CloudTrail such as enabling in all regions, log file validation, encryption, and integration with CloudWatch Logs. It also summarizes VPC flow logs, CloudWatch metrics and logs, and tools for automating compliance like Config rules, CloudWatch events, and Inspector.
Recommended
Cloudwatch: Monitoring your AWS services with Metrics and Alarms
Brief intro to AWS Cloudwatch. Motivation, examples and use cases. Shows how you can collect and monitors metrics for all your AWS services to better control your applications and infrastructure. #cloud-computing #aws #amazon-web-services
Cloudwatch: Monitoring your Services with Metrics and Alarms
CloudWatch is AWS's monitoring and metrics service that collects data from AWS services and allows users to set alarms and view metrics. It collects both built-in metrics provided by AWS services as well as custom metrics defined by users. CloudWatch allows viewing metrics and setting alarms in the console, through APIs, and via integration with other AWS services. It provides visibility into applications and infrastructure to help with decisions around capacity planning and troubleshooting.
RMG203 Cloud Infrastructure and Application Monitoring with Amazon CloudWatch...
Amazon CloudWatch provides AWS customers the monitoring platform for keeping tabs on their cloud infrastructure and applications. In this session, we show you how to use CloudWatch to monitor vital operational resource data such as EC2 Instance CPU Utilization, ELB Request Counts, RDS Read Throughput and much more. Learn how to configure CloudWatch Alarms to alert you any time services are operating outside of ranges you define. Finally, see how you can monitor applications on your EC2 instances or outside of AWS.
AWS CloudWatch
CloudWatch provides cloud and network monitoring services including metrics, alarms, and logs. It collects data points that are organized into metrics defined by name, namespace, and dimensions. Metrics are stored for 2 weeks and can be viewed as statistics aggregated over specified time periods. CloudWatch also monitors logs through log groups and streams. Alarms can be set to trigger actions when monitored metrics exceed thresholds.
Cloud watchingwithcloudwatch
Slides from presentation at Amazon's 'Inside the Cloud' (http://insidethecloud.eventbrite.com/) event in Dublin on Thursday, May 2, 2013
AWS cloud watch
How does AWS CloudWatch affect efficient monitoring of our system. edrone's Case Study: Cloud & Network Monitoring Services.
Using AWS CloudWatch Custom Metrics and EC2 Auto Scaling -VSocial Infrastructure
Using AWS CloudWatch Custom Metrics and EC2 Auto Scaling -VSocial InfrastructureChristopher Drumgoole
I gave a presentation at the AWS User Group, Singapore on 24 Oct 2013 explaining how we used EC2 Auto Scaling with CloudWatch Custom Metrics for our product.AWS Monitoring & Logging
The document discusses various AWS services for monitoring, logging, and security. It provides examples of AWS CloudTrail logs and best practices for CloudTrail such as enabling in all regions, log file validation, encryption, and integration with CloudWatch Logs. It also summarizes VPC flow logs, CloudWatch metrics and logs, and tools for automating compliance like Config rules, CloudWatch events, and Inspector.
AWS Cloud Watch
Training for AWS Solutions Architect at http://zekelabs.com/courses/amazon-web-services-training-bangalore/.This slide describes about cloud watch key concepts, workflow, dashboard, metrics, cloud watch agent, alarms, events and logs.
___________________________________________________
zekeLabs is a Technology training platform. We provide instructor led corporate training and classroom training on Industry relevant Cutting Edge Technologies like Big Data, Machine Learning, Natural Language Processing, Artificial Intelligence, Data Science, Amazon Web Services, DevOps, Cloud Computing and Frameworks like Django,Spring, Ruby on Rails, Angular 2 and many more to Professionals.
Reach out to us at www.zekelabs.com or call us at +91 8095465880 or drop a mail at info@zekelabs.com
Cloud Certifications - Overview
This document provides an overview of popular cloud computing certifications from Amazon Web Services (AWS), Microsoft Azure, Google Cloud Platform (GCP), and vendor-neutral certifications. It describes the purpose and requirements for certifications like AWS Certified Solutions Architect - Associate, MCSA: Cloud Platform, GCP Cloud Architect, and CompTIA Cloud+. The document also notes that certifications focus on roles like cloud architect, software engineer, and DevOps engineer, and that newer certifications address specific cloud aspects such as security and analytics.
Amazon CloudWatch Logs and AWS Lambda: A Match Made in Heaven
In this session, we cover three common scenarios that include Amazon CloudWatch Logs and AWS Lambda. First, you learn to build an Elasticsearch cluster from historical data using Amazon Simple Storage Service (S3), AWS Lambda, and Amazon CloudWatch Logs. Next, you learn to add details to Amazon CloudWatch alarm notifications using Amazon Simple Notification Service (SNS) and AWS Lambda. Finally, we show you how to bring Elastic Load Balancing logs to Amazon CloudWatch Logs using S3 bucket triggers from AWS Lambda.
Aws cloud watch
Real time monitoring of AWS components and the applications you run on AWS in real-time
You can use CloudWatch to collect and track metrics, which are the variables you want to measure for your resources and applications
CloudWatch alarms send notifications or automatically make changes to the resources you are monitoring based on rules that you define
Cloudwatch - The In's and Out's
CloudWatch is AWS's monitoring and metrics service that collects and tracks metrics, collects and monitors log files, and sets alarms. It allows you to collect metrics for AWS services like ELB, EBS, SQS, and also allows you to define your own custom metrics. Metrics are aggregated into statistic sets like sum, minimum, maximum and average over 1 minute periods. Metrics can be viewed in the CloudWatch console and retrieved via CLI tools. Alarms can be set to trigger actions when a metric breaches a threshold. Documentation and CLI tools are provided to help developers integrate CloudWatch into their applications and services.
Monitoring Modern Applications: Best Practices - SRV338 - Chicago AWS Summit
Companies are embracing new architecture paradigms to deliver global scale and critical functionality. These companies must have monitoring and debugging as part of their overall IT development and operations strategy to achieve faster resolution of issues and minimize customer impact. In this session, we explore native AWS services for monitoring, logging, tracing, and debugging. We share an example reference architecture and show you how Amazon CloudWatch and AWS X-Ray enable you to meet these challenges. There will also be time for Q&A.
Reinvent recap
The AWS re:Invent 2016 conference saw over 32,000 attendees and featured over 400 breakout sessions across specialized tracks. There were also over 4 hours of keynotes announcing 15 or more completely new AWS services as well as enhancements to many existing services. Some of the major new services included Amazon Polly for text-to-speech, Amazon Lex for building conversational interfaces, Amazon Rekognition for image analysis, and Amazon Athena for interactive SQL queries on S3 data. A wide range of other services were also announced or improved.
Data Warehousing and Analytics on Redshift and EMR
AWS is hosting the first FSI Cloud Symposium in Hong Kong, which will take place on Thursday, March 23, 2017 at Grand Hyatt Hotel. The event will bring together FSI customers, industry professional and AWS experts, to explore how to turn the dream of transformation, innovation and acceleration into reality by exploiting Cloud, Voice to Text and IoT technologies. The packed agenda includes expert sessions on a host of pressing issues, such as security and compliance, as well as customer experience sharing on how cloud computing is benefiting the industry.
Speaker: Nate Sammons, Principal Architect, NASDAQ
AWS re:Invent 2016: Tableau Rules of Engagement in the Cloud (STG306)
You have billions of events in your fact table, all of it waiting to be visualized. Enter Tableau… but wait: how can you ensure scalability and speed with your data in Amazon S3, Spark, Amazon Redshift, or Presto? In this talk, you’ll hear how Albert Wong and Srikanth Devidi at Netflix use Tableau on top of their big data stack. Albert and Srikanth also show how you can get the most out of a massive dataset using Tableau, and help guide you through the problems you may encounter along the way. Session sponsored by Tableau.
AWS Competency Partner
Real time sentiment analysis using twitter stream api & aws kinesis
This document describes building a real-time sentiment analysis dashboard using Twitter data streamed to AWS Kinesis. A Node.js application acts as a producer, streaming English tweets to a Kinesis stream. A consumer pulls the tweet data from the stream and calculates sentiment scores, which are returned to a front-end dashboard using Rickshaw graphs to display the sentiment over time. The architecture involves one producer, one Kinesis stream with one shard, and one consumer dashboard application.
AWS Meet-up: Logging At Scale on AWS
Presented at the Auckland AWS Meet-up:
In this meet-up, Chris will take us through an interactive session that will examine log solutions in the cloud.
We'll take a look at some possible build-your-own architectures on AWS, common tools and practices, and commercial options. We'll then demo logging data from an EC2 Instance using Amazon Kinesis, Amazon Elasticsearch Service and S3.
(SEC403) Diving into AWS CloudTrail Events w/ Apache Spark on EMR
Do you want to analyze AWS CloudTrail events within minutes of them arriving in your Amazon S3 bucket? Would you like to learn how to run expressive queries over your CloudTrail logs? We will demonstrate Apache Spark and Apache Spark Streaming as two tools to analyze recent and historical security logs for your accounts. To do so, we will use Amazon Elastic MapReduce (EMR), your logs stored in S3, and Amazon SNS to generate alerts. With these tools at your fingertips, you will be the first to know about security events that require your attention, and you will be able to quickly identify and evaluate the relevant security log entries.
AWS September Webinar Series - Building Your First Big Data Application on AWS
The Big Data ecosystem is moving so fast that is nearly impossible to keep pace. Meanwhile, the strong demand for high analytical and data management skills will continue to grow. So, how can you get up to speed?
Join us for this webinar where we will help you get ramped up on how to use Amazon’s Big Data web services. In just 50 minutes, we will build a Big Data application using Amazon Elastic MapReduce and other AWS Big Data Services. In addition, we will review best practices and architecture design patterns for Big Data. Attending re:Invent? One more reason not to miss this webinar, as it will help you get ready for some of our Big Data deep dives!
Learning Objectives:
Learn about key AWS Big Data services including Amazon S3, Amazon EMR, Amazon Kinesis, and Amazon Redshift
Learn about Big Data architectural patterns
How to ingest data to Amazon S3
How to start an Amazon EMR cluster
Help those attending re:Invent to get up to speed with Big Data services
Who Should Attend:
Architects and developers, interested in starting a Big Data initiative
Training AWS: Module 9 - CloudWatch
The document provides training materials for 9 modules on monitoring tools in AWS including CloudWatch, CloudTrail, and AWS Config. It describes the key capabilities and use cases of each service such as collecting metrics and logs, auditing API calls, and monitoring resource configurations. The training is delivered by Bui Quang Lam over 24 sections covering topics like CloudWatch dashboards, CloudTrail events, and configuring rules and compliance with AWS Config.
SEC301 Security @ (Cloud) Scale
Customers using AWS benefit from over 1,800 security and compliance controls built into the AWS platform and operations. In this session, you will learn how to take advantage of the advanced security features of the AWS platform to gain the visibility, agility, and control needed to be more secure in the cloud than in legacy environments. We'll take a look at several reference architectures for common workloads and highlight the innovative ways customers are using AWS to manage security more efficiently. After attending this session, you will be familiar with the shared security responsibility model and how you can inherit controls from the rich compliance and accreditation programs maintained by AWS.
Introduction to Amazon Lightsail
Amazon Lightsail is the latest addition to the AWS family of compute services and the fastest way to get your next cloud server up and running. For a low price that starts at $5/month, Lightsail offers a bundle of resources and services that let you jumpstart your cloud project in a few clicks. The new, intuitive Lightsail console makes it simple to manage your virtual resources, letting you focus on code, not system administration. Learn how Lightsail can get you started on AWS quickly and efficiently.
Aws Atlanta meetup - Understanding AWS Config
AWS Config provides the following services:
- Assesses and retrieves configurations of AWS resources and produces snapshots of current configurations.
- Evaluates AWS resource configurations against rules for desired settings and sends notifications when resources are modified.
- Shows relevant relationships between resources to help with security analysis and troubleshooting.
Optimizing your cloud
Many enterprise leaders have similar questions when considering a move to the cloud: How should I optimize my cloud strategy to support the business? How do I help the organization become faster, better and cheaper? How do I increase business agility and drive more and better business analytics and insight? In this webinar you will learn about best practices for optimizing your cloud for better business agility and cost.
Big data and Analytics on AWS
The document provides an overview of big data concepts and Amazon Web Services (AWS) products for big data and analytics. It describes challenges of big data including unpredictable resource demand and job orchestration complexities. It then summarizes AWS products for data collection, storage, processing, analytics and machine learning. Specific examples are given using AWS services like Redshift, EMR, Kinesis and DynamoDB for scenarios like data warehousing, real-time streaming and Hadoop workloads. Core principles and common challenges of big data implementations on AWS are also outlined.
AWS re:Invent 2016: How Amazon S3 Storage Management Helps Optimize Storage a...
Customers using Amazon S3 at large scale benefit greatly from storage management features. Storage lifecycle policies help them reduce storage costs. Cross-region replication makes it easier to copy data between AWS regions for compliance or disaster recovery. Event notifications allow automatic initiation of processes on objects as they arrive, or capture information about objects and log it for security purposes. In this session, you'll learn about these features, and also several new storage management features in Amazon S3 that give users unmatched visibility into what data they are storing and how that data is being used. These new features make it simpler to analyze usage by users, apps, or organizations, to highlight anomalies, and to optimize business process workflows. They also help identify opportunities to reduce costs, improve performance, and archive infrequently used data. In addition, they can provide insight into who is accessing data stored in S3. As part of this talk, AWS customer Pinterest shows how they have been able to leverage many of the new S3 storage management features to reduce their storage costs significantly by moving a large amount of their data from S3 Standard to S3 Standard – Infrequent Access storage.
Modern Monitoring - devops roadtrip
The document discusses Bridget Kromhout, who lives in Minneapolis, Minnesota and works at Pivotal. It references several resources on monitoring including "The Art of Monitoring" by James Turnbull from 2016, which discusses monitoring containers and includes a monitoring maturity model. It also references a paper from Google about cluster management at Google with Borg that discusses tasks publishing health and performance metrics. Finally, it references a quote from Mel Conway about system design copying an organization's communication structure.
Manage Security & Compliance of Your AWS Account using CloudTrail
CloudTrail is an AWS service that records API calls made in an AWS account and delivers log files to enable security monitoring and compliance. It provides visibility into who accessed AWS resources, when they accessed them, and from where. Cloudlytics is a service that allows users to analyze CloudTrail logs to generate security and compliance reports. The document discusses enabling CloudTrail, configuring Cloudlytics to access CloudTrail logs, and using Cloudlytics to analyze the logs and generate various audit reports.
More Related Content
What's hot
AWS Cloud Watch
Training for AWS Solutions Architect at http://zekelabs.com/courses/amazon-web-services-training-bangalore/.This slide describes about cloud watch key concepts, workflow, dashboard, metrics, cloud watch agent, alarms, events and logs.
___________________________________________________
zekeLabs is a Technology training platform. We provide instructor led corporate training and classroom training on Industry relevant Cutting Edge Technologies like Big Data, Machine Learning, Natural Language Processing, Artificial Intelligence, Data Science, Amazon Web Services, DevOps, Cloud Computing and Frameworks like Django,Spring, Ruby on Rails, Angular 2 and many more to Professionals.
Reach out to us at www.zekelabs.com or call us at +91 8095465880 or drop a mail at info@zekelabs.com
Cloud Certifications - Overview
This document provides an overview of popular cloud computing certifications from Amazon Web Services (AWS), Microsoft Azure, Google Cloud Platform (GCP), and vendor-neutral certifications. It describes the purpose and requirements for certifications like AWS Certified Solutions Architect - Associate, MCSA: Cloud Platform, GCP Cloud Architect, and CompTIA Cloud+. The document also notes that certifications focus on roles like cloud architect, software engineer, and DevOps engineer, and that newer certifications address specific cloud aspects such as security and analytics.
Amazon CloudWatch Logs and AWS Lambda: A Match Made in Heaven
In this session, we cover three common scenarios that include Amazon CloudWatch Logs and AWS Lambda. First, you learn to build an Elasticsearch cluster from historical data using Amazon Simple Storage Service (S3), AWS Lambda, and Amazon CloudWatch Logs. Next, you learn to add details to Amazon CloudWatch alarm notifications using Amazon Simple Notification Service (SNS) and AWS Lambda. Finally, we show you how to bring Elastic Load Balancing logs to Amazon CloudWatch Logs using S3 bucket triggers from AWS Lambda.
Aws cloud watch
Real time monitoring of AWS components and the applications you run on AWS in real-time
You can use CloudWatch to collect and track metrics, which are the variables you want to measure for your resources and applications
CloudWatch alarms send notifications or automatically make changes to the resources you are monitoring based on rules that you define
Cloudwatch - The In's and Out's
CloudWatch is AWS's monitoring and metrics service that collects and tracks metrics, collects and monitors log files, and sets alarms. It allows you to collect metrics for AWS services like ELB, EBS, SQS, and also allows you to define your own custom metrics. Metrics are aggregated into statistic sets like sum, minimum, maximum and average over 1 minute periods. Metrics can be viewed in the CloudWatch console and retrieved via CLI tools. Alarms can be set to trigger actions when a metric breaches a threshold. Documentation and CLI tools are provided to help developers integrate CloudWatch into their applications and services.
Monitoring Modern Applications: Best Practices - SRV338 - Chicago AWS Summit
Companies are embracing new architecture paradigms to deliver global scale and critical functionality. These companies must have monitoring and debugging as part of their overall IT development and operations strategy to achieve faster resolution of issues and minimize customer impact. In this session, we explore native AWS services for monitoring, logging, tracing, and debugging. We share an example reference architecture and show you how Amazon CloudWatch and AWS X-Ray enable you to meet these challenges. There will also be time for Q&A.
Reinvent recap
The AWS re:Invent 2016 conference saw over 32,000 attendees and featured over 400 breakout sessions across specialized tracks. There were also over 4 hours of keynotes announcing 15 or more completely new AWS services as well as enhancements to many existing services. Some of the major new services included Amazon Polly for text-to-speech, Amazon Lex for building conversational interfaces, Amazon Rekognition for image analysis, and Amazon Athena for interactive SQL queries on S3 data. A wide range of other services were also announced or improved.
Data Warehousing and Analytics on Redshift and EMR
AWS is hosting the first FSI Cloud Symposium in Hong Kong, which will take place on Thursday, March 23, 2017 at Grand Hyatt Hotel. The event will bring together FSI customers, industry professional and AWS experts, to explore how to turn the dream of transformation, innovation and acceleration into reality by exploiting Cloud, Voice to Text and IoT technologies. The packed agenda includes expert sessions on a host of pressing issues, such as security and compliance, as well as customer experience sharing on how cloud computing is benefiting the industry.
Speaker: Nate Sammons, Principal Architect, NASDAQ
AWS re:Invent 2016: Tableau Rules of Engagement in the Cloud (STG306)
You have billions of events in your fact table, all of it waiting to be visualized. Enter Tableau… but wait: how can you ensure scalability and speed with your data in Amazon S3, Spark, Amazon Redshift, or Presto? In this talk, you’ll hear how Albert Wong and Srikanth Devidi at Netflix use Tableau on top of their big data stack. Albert and Srikanth also show how you can get the most out of a massive dataset using Tableau, and help guide you through the problems you may encounter along the way. Session sponsored by Tableau.
AWS Competency Partner
Real time sentiment analysis using twitter stream api & aws kinesis
This document describes building a real-time sentiment analysis dashboard using Twitter data streamed to AWS Kinesis. A Node.js application acts as a producer, streaming English tweets to a Kinesis stream. A consumer pulls the tweet data from the stream and calculates sentiment scores, which are returned to a front-end dashboard using Rickshaw graphs to display the sentiment over time. The architecture involves one producer, one Kinesis stream with one shard, and one consumer dashboard application.
AWS Meet-up: Logging At Scale on AWS
Presented at the Auckland AWS Meet-up:
In this meet-up, Chris will take us through an interactive session that will examine log solutions in the cloud.
We'll take a look at some possible build-your-own architectures on AWS, common tools and practices, and commercial options. We'll then demo logging data from an EC2 Instance using Amazon Kinesis, Amazon Elasticsearch Service and S3.
(SEC403) Diving into AWS CloudTrail Events w/ Apache Spark on EMR
Do you want to analyze AWS CloudTrail events within minutes of them arriving in your Amazon S3 bucket? Would you like to learn how to run expressive queries over your CloudTrail logs? We will demonstrate Apache Spark and Apache Spark Streaming as two tools to analyze recent and historical security logs for your accounts. To do so, we will use Amazon Elastic MapReduce (EMR), your logs stored in S3, and Amazon SNS to generate alerts. With these tools at your fingertips, you will be the first to know about security events that require your attention, and you will be able to quickly identify and evaluate the relevant security log entries.
AWS September Webinar Series - Building Your First Big Data Application on AWS
The Big Data ecosystem is moving so fast that is nearly impossible to keep pace. Meanwhile, the strong demand for high analytical and data management skills will continue to grow. So, how can you get up to speed?
Join us for this webinar where we will help you get ramped up on how to use Amazon’s Big Data web services. In just 50 minutes, we will build a Big Data application using Amazon Elastic MapReduce and other AWS Big Data Services. In addition, we will review best practices and architecture design patterns for Big Data. Attending re:Invent? One more reason not to miss this webinar, as it will help you get ready for some of our Big Data deep dives!
Learning Objectives:
Learn about key AWS Big Data services including Amazon S3, Amazon EMR, Amazon Kinesis, and Amazon Redshift
Learn about Big Data architectural patterns
How to ingest data to Amazon S3
How to start an Amazon EMR cluster
Help those attending re:Invent to get up to speed with Big Data services
Who Should Attend:
Architects and developers, interested in starting a Big Data initiative
Training AWS: Module 9 - CloudWatch
The document provides training materials for 9 modules on monitoring tools in AWS including CloudWatch, CloudTrail, and AWS Config. It describes the key capabilities and use cases of each service such as collecting metrics and logs, auditing API calls, and monitoring resource configurations. The training is delivered by Bui Quang Lam over 24 sections covering topics like CloudWatch dashboards, CloudTrail events, and configuring rules and compliance with AWS Config.
SEC301 Security @ (Cloud) Scale
Customers using AWS benefit from over 1,800 security and compliance controls built into the AWS platform and operations. In this session, you will learn how to take advantage of the advanced security features of the AWS platform to gain the visibility, agility, and control needed to be more secure in the cloud than in legacy environments. We'll take a look at several reference architectures for common workloads and highlight the innovative ways customers are using AWS to manage security more efficiently. After attending this session, you will be familiar with the shared security responsibility model and how you can inherit controls from the rich compliance and accreditation programs maintained by AWS.
Introduction to Amazon Lightsail
Amazon Lightsail is the latest addition to the AWS family of compute services and the fastest way to get your next cloud server up and running. For a low price that starts at $5/month, Lightsail offers a bundle of resources and services that let you jumpstart your cloud project in a few clicks. The new, intuitive Lightsail console makes it simple to manage your virtual resources, letting you focus on code, not system administration. Learn how Lightsail can get you started on AWS quickly and efficiently.
Aws Atlanta meetup - Understanding AWS Config
AWS Config provides the following services:
- Assesses and retrieves configurations of AWS resources and produces snapshots of current configurations.
- Evaluates AWS resource configurations against rules for desired settings and sends notifications when resources are modified.
- Shows relevant relationships between resources to help with security analysis and troubleshooting.
Optimizing your cloud
Many enterprise leaders have similar questions when considering a move to the cloud: How should I optimize my cloud strategy to support the business? How do I help the organization become faster, better and cheaper? How do I increase business agility and drive more and better business analytics and insight? In this webinar you will learn about best practices for optimizing your cloud for better business agility and cost.
Big data and Analytics on AWS
The document provides an overview of big data concepts and Amazon Web Services (AWS) products for big data and analytics. It describes challenges of big data including unpredictable resource demand and job orchestration complexities. It then summarizes AWS products for data collection, storage, processing, analytics and machine learning. Specific examples are given using AWS services like Redshift, EMR, Kinesis and DynamoDB for scenarios like data warehousing, real-time streaming and Hadoop workloads. Core principles and common challenges of big data implementations on AWS are also outlined.
AWS re:Invent 2016: How Amazon S3 Storage Management Helps Optimize Storage a...
Customers using Amazon S3 at large scale benefit greatly from storage management features. Storage lifecycle policies help them reduce storage costs. Cross-region replication makes it easier to copy data between AWS regions for compliance or disaster recovery. Event notifications allow automatic initiation of processes on objects as they arrive, or capture information about objects and log it for security purposes. In this session, you'll learn about these features, and also several new storage management features in Amazon S3 that give users unmatched visibility into what data they are storing and how that data is being used. These new features make it simpler to analyze usage by users, apps, or organizations, to highlight anomalies, and to optimize business process workflows. They also help identify opportunities to reduce costs, improve performance, and archive infrequently used data. In addition, they can provide insight into who is accessing data stored in S3. As part of this talk, AWS customer Pinterest shows how they have been able to leverage many of the new S3 storage management features to reduce their storage costs significantly by moving a large amount of their data from S3 Standard to S3 Standard – Infrequent Access storage.
What's hot (20)
Amazon CloudWatch Logs and AWS Lambda: A Match Made in Heaven
Amazon CloudWatch Logs and AWS Lambda: A Match Made in Heaven
Monitoring Modern Applications: Best Practices - SRV338 - Chicago AWS Summit
Monitoring Modern Applications: Best Practices - SRV338 - Chicago AWS Summit
Data Warehousing and Analytics on Redshift and EMR
Data Warehousing and Analytics on Redshift and EMR
AWS re:Invent 2016: Tableau Rules of Engagement in the Cloud (STG306)
AWS re:Invent 2016: Tableau Rules of Engagement in the Cloud (STG306)
Real time sentiment analysis using twitter stream api & aws kinesis
Real time sentiment analysis using twitter stream api & aws kinesis
(SEC403) Diving into AWS CloudTrail Events w/ Apache Spark on EMR
(SEC403) Diving into AWS CloudTrail Events w/ Apache Spark on EMR
AWS September Webinar Series - Building Your First Big Data Application on AWS
AWS September Webinar Series - Building Your First Big Data Application on AWS
AWS re:Invent 2016: How Amazon S3 Storage Management Helps Optimize Storage a...
AWS re:Invent 2016: How Amazon S3 Storage Management Helps Optimize Storage a...
Viewers also liked
Modern Monitoring - devops roadtrip
The document discusses Bridget Kromhout, who lives in Minneapolis, Minnesota and works at Pivotal. It references several resources on monitoring including "The Art of Monitoring" by James Turnbull from 2016, which discusses monitoring containers and includes a monitoring maturity model. It also references a paper from Google about cluster management at Google with Borg that discusses tasks publishing health and performance metrics. Finally, it references a quote from Mel Conway about system design copying an organization's communication structure.
Manage Security & Compliance of Your AWS Account using CloudTrail
CloudTrail is an AWS service that records API calls made in an AWS account and delivers log files to enable security monitoring and compliance. It provides visibility into who accessed AWS resources, when they accessed them, and from where. Cloudlytics is a service that allows users to analyze CloudTrail logs to generate security and compliance reports. The document discusses enabling CloudTrail, configuring Cloudlytics to access CloudTrail logs, and using Cloudlytics to analyze the logs and generate various audit reports.
Site24x7 PHP Monitoring for DevOps
Get end to end web transaction awareness by deploying our PHP agent on your Apache server. Ensure all your performance issues are isolated and resolved quickly.
Monitoring 改造計畫：流程觀點
Monitoring: a process perspective
Video: http://www.ithome.com.tw/video/108317
【Monitoring 改造計畫：流程觀點】
組織會變化，業務會變化，流程會變化，軟體系統會變化，同樣的，在背後綜觀全域的監控系統，也會變化。如果對監控系統也有版本編號的話，葉秉哲在 2015 年發表的「Whoscall 的 Realtime Monitoring 經驗分享」，是我們 1.0 版的經驗；這一年來，我們已經進化到 3.0 版。
這場演講，葉秉哲會從流程觀點，分享對監控系統持續改善的原因及作法。
Journey through the Cloud - Best Practices Getting Started in the AWS Cloud
YouTube recording: http://youtu.be/DWMfXH3OfoE
Getting started with Amazon Web Services (AWS) is fast and simple. These slides from our Best Practices webinar outline best practice guidance from many customers and the Amazon Web Services team, helping you gain advantage as your implement your projects in AWS. It also covers how you can ensure your applications are simple to manage, resilient and cost effective and how to set up accounts and use consolidated billing.
Monitoring and Alerting
This document discusses monitoring AWS resources and activity for billing, changes, and application usage. It provides examples of detailed billing records and recommends using AWS services like CloudTrail to log API activity, CloudWatch to monitor logs and metrics, VPC flow logs to monitor network traffic, and Config to inventory and track resource configurations over time. These services together provide visibility into usage and changes for security, compliance, and troubleshooting.
Secure Content Delivery Using Amazon CloudFront and AWS WAF
Whether you are building an e-commerce site or a business application, security is a key consideration when architecting your website or application. In this session, you will learn more about some of the things Amazon CloudFront does behind the scenes to protect the delivery of your content such as OCSP Stapling and Perfect Forward Secrecy. You will also learn how you can use AWS Web Application Firewall (AWS WAF) with CloudFront to protect your site. Finally, we will share best practices on how you can use CloudFront to securely deliver content end-to-end, control who accesses your content, how to shield your origins from the Internet, and getting an A+ on SSL labs.
(DVO315) Log, Monitor and Analyze your IT with Amazon CloudWatch
You may already know that you can use Amazon CloudWatch to view graphs of your AWS resources like Amazon Elastic Compute Cloud instances or Amazon Simple Storage Service. But, did you know that you can monitor your on-premises servers with Amazon CloudWatch Logs? Or, that you can integrate CloudWatch Logs with Elasticsearch for powerful visualization and analysis? This session will offer a tour of the latest monitoring and automation capabilities that we’ve added, how you can get even more done with Amazon CloudWatch.
(ARC205) Creating Your Virtual Data Center: VPC Fundamentals and Connectivity...
In this session, we will walk through the fundamentals of Amazon Virtual Private Cloud (VPC). First, we will cover build-out and design fundamentals for VPC, including picking your IP space, subnetting, routing, security, NAT, and much more. We will then transition into different approaches and use cases for optionally connecting your VPC to your physical data center with VPN or AWS Direct Connect. This mid-level architecture discussion is aimed at architects, network administrators, and technology decision-makers interested in understanding the building blocks AWS makes available with VPC and how you can connect this with your offices and current data center footprint.
AWS re:Invent 2016: Amazon CloudFront Flash Talks: Best Practices on Configur...
In this series of 15-minute technical flash talks you will learn directly from Amazon CloudFront engineers and their best practices on debugging caching issues, measuring performance using Real User Monitoring (RUM), and stopping malicious viewers using CloudFront and AWS WAF.
You Can’t Protect What You Can’t See: AWS Security Monitoring & Compliance Va...
Ensuring security and compliance across a globally distributed, large-scale AWS deployment requires a scalable process and a comprehensive set of technologies. In this session, Adobe will deep-dive into the AWS native monitoring and security services and some Splunk technologies leveraged globally to perform security monitoring across a large number of AWS accounts. You will learn about Adobe’s collection plumbing including components of S3, Kinesis, CloudWatch, SNS, Dynamo DB and Lambda, as well as the tooling and processes used at Adobe to deliver scalable monitoring without managing an unwieldy number of API keys and input stanzas. Session sponsored by Splunk.
AWS Competency Partner
Whoscall 的 Realtime Monitoring 經驗分享
The document discusses how real-time monitoring of cloud services works. It describes collecting metrics from various sources like CloudWatch, application logs stored in S3, and error logs. These metrics and logs are analyzed to diagnose issues, identify risks, and ensure service level agreements around availability, performance and errors are met. Unified monitoring and alerting across the stack is important for effective real-time monitoring.
Leveraging Elastic Web-Scale Computing with AWS
Amazon Elastic Compute Cloud (EC2) and Virtual Private Cloud (VPC) forms the backbone compute and networking platform. This webinar will show the rich range of capabilities and key functions for Elastic Compute Cloud (EC2) and Virtual Private Cloud (VPC). With this knowledge you will be able to make informed choices during the design and deployment of your cloud resources for Compute and Networking services.
Reasons to attend:
Understand how to use Amazon EC2 beyond a simple single instance use case including bootstrap & AMIs.
Learn how to create Auto Scaling configurations and the tools you need to drive Auto Scaling policies.
Learn how to use Amazon CloudWatch alarms to trigger actions with Auto Scaling.
AWS CloudFormation Masterclass
AWS CloudFormation is a comprehensive templating language that enables you to create managed 'stacks' of AWS resources, with a growing library of templates available for you to use. But how do you create one from scratch? This presentation will take you through building an AWS CloudFormation template from the ground up, so you can see all the essential template constructs in action.
Watch a recording of the webinar based on this presentation on YouTube here: http://youtu.be/6R44BADNJA8
Check out other upcoming webinars in the Masterclass Series here: http://aws.amazon.com/campaigns/emea/masterclass/
Automating your Infrastructure Deployment with AWS CloudFormation and AWS Ops...
This document discusses automating infrastructure deployment with AWS CloudFormation and OpsWorks. It covers topics like repeatable deployments, treating infrastructure as code, deploying different environments, updating stacks, and expanding the use of CloudFormation through multiple templates and nested stacks.
(DVO304) AWS CloudFormation Best Practices
"AWS CloudFormation lets you model, provision, and update a collection of AWS resources with JSON templates. You can manage your Infrastructure as Code and deploy stacks from a single Amazon EC2 instance to multi-tier applications. In this session, we will explore CloudFormation best practices in planning and provisioning your AWS infrastructure. We will cover recent product updates that will help users to make the most of this service and demonstrate new features. This session will benefit both new and experienced users of CloudFormation.
If you are new to AWS CloudFormation, get up to speed for this session by completing the Working with CloudFormation lab in the self-paced Labs Lounge.
"
Secured API Acceleration with Engineers from Amazon CloudFront and Slack
The document discusses how Slack uses Amazon CloudFront to accelerate its API delivery. Some key points:
- Slack saw performance and latency improvements by migrating its API from Elastic Load Balancers to CloudFront. This included average latency dropping from 90ms to 15ms worldwide.
- CloudFront provides automatic DDoS protection and security benefits that have improved reliability compared to other CDN providers.
- Slack serves over 5 billion API requests per week and saw response times drop from 480ms to 200ms on average worldwide after using CloudFront.
- Future plans include pushing more functionality like rate limiting to the edge for improved performance and security.
Viewers also liked (17)
Manage Security & Compliance of Your AWS Account using CloudTrail
Manage Security & Compliance of Your AWS Account using CloudTrail
Journey through the Cloud - Best Practices Getting Started in the AWS Cloud
Journey through the Cloud - Best Practices Getting Started in the AWS Cloud
Secure Content Delivery Using Amazon CloudFront and AWS WAF
Secure Content Delivery Using Amazon CloudFront and AWS WAF
(DVO315) Log, Monitor and Analyze your IT with Amazon CloudWatch
(DVO315) Log, Monitor and Analyze your IT with Amazon CloudWatch
(ARC205) Creating Your Virtual Data Center: VPC Fundamentals and Connectivity...
(ARC205) Creating Your Virtual Data Center: VPC Fundamentals and Connectivity...
AWS re:Invent 2016: Amazon CloudFront Flash Talks: Best Practices on Configur...
AWS re:Invent 2016: Amazon CloudFront Flash Talks: Best Practices on Configur...
You Can’t Protect What You Can’t See: AWS Security Monitoring & Compliance Va...
You Can’t Protect What You Can’t See: AWS Security Monitoring & Compliance Va...
Automating your Infrastructure Deployment with AWS CloudFormation and AWS Ops...
Automating your Infrastructure Deployment with AWS CloudFormation and AWS Ops...
Secured API Acceleration with Engineers from Amazon CloudFront and Slack
Secured API Acceleration with Engineers from Amazon CloudFront and Slack
Recently uploaded
Use PyCharm for remote debugging of WSL on a Windo cf5c162d672e4e58b4dde5d797...
This document serves as a comprehensive step-by-step guide on how to effectively use PyCharm for remote debugging of the Windows Subsystem for Linux (WSL) on a local Windows machine. It meticulously outlines several critical steps in the process, starting with the crucial task of enabling permissions, followed by the installation and configuration of WSL.
The guide then proceeds to explain how to set up the SSH service within the WSL environment, an integral part of the process. Alongside this, it also provides detailed instructions on how to modify the inbound rules of the Windows firewall to facilitate the process, ensuring that there are no connectivity issues that could potentially hinder the debugging process.
The document further emphasizes on the importance of checking the connection between the Windows and WSL environments, providing instructions on how to ensure that the connection is optimal and ready for remote debugging.
It also offers an in-depth guide on how to configure the WSL interpreter and files within the PyCharm environment. This is essential for ensuring that the debugging process is set up correctly and that the program can be run effectively within the WSL terminal.
Additionally, the document provides guidance on how to set up breakpoints for debugging, a fundamental aspect of the debugging process which allows the developer to stop the execution of their code at certain points and inspect their program at those stages.
Finally, the document concludes by providing a link to a reference blog. This blog offers additional information and guidance on configuring the remote Python interpreter in PyCharm, providing the reader with a well-rounded understanding of the process.
LLM Fine Tuning with QLoRA Cassandra Lunch 4, presented by Anant
Slides for the 4th Presentation on LLM Fine-Tuning with QLoRA Presented by Anant, featuring DataStax Astra
Harnessing WebAssembly for Real-time Stateless Streaming Pipelines
Traditionally, dealing with real-time data pipelines has involved significant overhead, even for straightforward tasks like data transformation or masking. However, in this talk, we’ll venture into the dynamic realm of WebAssembly (WASM) and discover how it can revolutionize the creation of stateless streaming pipelines within a Kafka (Redpanda) broker. These pipelines are adept at managing low-latency, high-data-volume scenarios.
Optimizing Gradle Builds - Gradle DPE Tour Berlin 2024
Sinan from the Delivery Hero mobile infrastructure engineering team shares a deep dive into performance acceleration with Gradle build cache optimizations. Sinan shares their journey into solving complex build-cache problems that affect Gradle builds. By understanding the challenges and solutions found in our journey, we aim to demonstrate the possibilities for faster builds. The case study reveals how overlapping outputs and cache misconfigurations led to significant increases in build times, especially as the project scaled up with numerous modules using Paparazzi tests. The journey from diagnosing to defeating cache issues offers invaluable lessons on maintaining cache integrity without sacrificing functionality.
DEEP LEARNING FOR SMART GRID INTRUSION DETECTION: A HYBRID CNN-LSTM-BASED MODEL
As digital technology becomes more deeply embedded in power systems, protecting the communication
networks of Smart Grids (SG) has emerged as a critical concern. Distributed Network Protocol 3 (DNP3)
represents a multi-tiered application layer protocol extensively utilized in Supervisory Control and Data
Acquisition (SCADA)-based smart grids to facilitate real-time data gathering and control functionalities.
Robust Intrusion Detection Systems (IDS) are necessary for early threat detection and mitigation because
of the interconnection of these networks, which makes them vulnerable to a variety of cyberattacks. To
solve this issue, this paper develops a hybrid Deep Learning (DL) model specifically designed for intrusion
detection in smart grids. The proposed approach is a combination of the Convolutional Neural Network
(CNN) and the Long-Short-Term Memory algorithms (LSTM). We employed a recent intrusion detection
dataset (DNP3), which focuses on unauthorized commands and Denial of Service (DoS) cyberattacks, to
train and test our model. The results of our experiments show that our CNN-LSTM method is much better
at finding smart grid intrusions than other deep learning algorithms used for classification. In addition,
our proposed approach improves accuracy, precision, recall, and F1 score, achieving a high detection
accuracy rate of 99.50%.
UNLOCKING HEALTHCARE 4.0: NAVIGATING CRITICAL SUCCESS FACTORS FOR EFFECTIVE I...
The Fourth Industrial Revolution is transforming industries, including healthcare, by integrating digital,
physical, and biological technologies. This study examines the integration of 4.0 technologies into
healthcare, identifying success factors and challenges through interviews with 70 stakeholders from 33
countries. Healthcare is evolving significantly, with varied objectives across nations aiming to improve
population health. The study explores stakeholders' perceptions on critical success factors, identifying
challenges such as insufficiently trained personnel, organizational silos, and structural barriers to data
exchange. Facilitators for integration include cost reduction initiatives and interoperability policies.
Technologies like IoT, Big Data, AI, Machine Learning, and robotics enhance diagnostics, treatment
precision, and real-time monitoring, reducing errors and optimizing resource utilization. Automation
improves employee satisfaction and patient care, while Blockchain and telemedicine drive cost reductions.
Successful integration requires skilled professionals and supportive policies, promising efficient resource
use, lower error rates, and accelerated processes, leading to optimized global healthcare outcomes.
ISPM 15 Heat Treated Wood Stamps and why your shipping must have one
For International shipping and maritime laws all wood must contain the ISPM 15 Stamp. Here is how and why.
IEEE Aerospace and Electronic Systems Society as a Graduate Student Member
IEEE Aerospace and Electronic Systems Society as a Graduate Student Member
NATURAL DEEP EUTECTIC SOLVENTS AS ANTI-FREEZING AGENT
NATURAL DEEP EUTECTIC SOLVENTS AS ANTI-FREEZING AGENT
官方认证美国密歇根州立大学毕业证学位证书原版一模一样
原版一模一样【微信：741003700 】【美国密歇根州立大学毕业证学位证书】【微信：741003700 】学位证，留信认证（真实可查，永久存档）offer、雅思、外壳等材料/诚信可靠,可直接看成品样本，帮您解决无法毕业带来的各种难题！外壳，原版制作，诚信可靠，可直接看成品样本。行业标杆！精益求精，诚心合作，真诚制作！多年品质 ,按需精细制作，24小时接单,全套进口原装设备。十五年致力于帮助留学生解决难题，包您满意。
本公司拥有海外各大学样板无数，能完美还原海外各大学 Bachelor Diploma degree, Master Degree Diploma
1:1完美还原海外各大学毕业材料上的工艺：水印，阴影底纹，钢印LOGO烫金烫银，LOGO烫金烫银复合重叠。文字图案浮雕、激光镭射、紫外荧光、温感、复印防伪等防伪工艺。材料咨询办理、认证咨询办理请加学历顾问Q/微741003700
留信网认证的作用:
1:该专业认证可证明留学生真实身份
2:同时对留学生所学专业登记给予评定
3:国家专业人才认证中心颁发入库证书
4:这个认证书并且可以归档倒地方
5:凡事获得留信网入网的信息将会逐步更新到个人身份内，将在公安局网内查询个人身份证信息后，同步读取人才网入库信息
6:个人职称评审加20分
7:个人信誉贷款加10分
8:在国家人才网主办的国家网络招聘大会中纳入资料，供国家高端企业选择人才
Unit-III-ELECTROCHEMICAL STORAGE DEVICES.ppt
Batteries -Introduction – Types of Batteries – discharging and charging of battery - characteristics of battery –battery rating- various tests on battery- – Primary battery: silver button cell- Secondary battery :Ni-Cd battery-modern battery: lithium ion battery-maintenance of batteries-choices of batteries for electric vehicle applications.
Fuel Cells: Introduction- importance and classification of fuel cells - description, principle, components, applications of fuel cells: H2-O2 fuel cell, alkaline fuel cell, molten carbonate fuel cell and direct methanol fuel cells.
Recently uploaded (20)
ML Based Model for NIDS MSc Updated Presentation.v2.pptx
ML Based Model for NIDS MSc Updated Presentation.v2.pptx
Use PyCharm for remote debugging of WSL on a Windo cf5c162d672e4e58b4dde5d797...
Use PyCharm for remote debugging of WSL on a Windo cf5c162d672e4e58b4dde5d797...
LLM Fine Tuning with QLoRA Cassandra Lunch 4, presented by Anant
LLM Fine Tuning with QLoRA Cassandra Lunch 4, presented by Anant
Introduction to AI Safety (public presentation).pptx
Introduction to AI Safety (public presentation).pptx
Harnessing WebAssembly for Real-time Stateless Streaming Pipelines
Harnessing WebAssembly for Real-time Stateless Streaming Pipelines
Optimizing Gradle Builds - Gradle DPE Tour Berlin 2024
Optimizing Gradle Builds - Gradle DPE Tour Berlin 2024
DEEP LEARNING FOR SMART GRID INTRUSION DETECTION: A HYBRID CNN-LSTM-BASED MODEL
DEEP LEARNING FOR SMART GRID INTRUSION DETECTION: A HYBRID CNN-LSTM-BASED MODEL
UNLOCKING HEALTHCARE 4.0: NAVIGATING CRITICAL SUCCESS FACTORS FOR EFFECTIVE I...
UNLOCKING HEALTHCARE 4.0: NAVIGATING CRITICAL SUCCESS FACTORS FOR EFFECTIVE I...
ISPM 15 Heat Treated Wood Stamps and why your shipping must have one
ISPM 15 Heat Treated Wood Stamps and why your shipping must have one
IEEE Aerospace and Electronic Systems Society as a Graduate Student Member
IEEE Aerospace and Electronic Systems Society as a Graduate Student Member
BPV-GUI-01-Guide-for-ASME-Review-Teams-(General)-10-10-2023.pdf
BPV-GUI-01-Guide-for-ASME-Review-Teams-(General)-10-10-2023.pdf
NATURAL DEEP EUTECTIC SOLVENTS AS ANTI-FREEZING AGENT
NATURAL DEEP EUTECTIC SOLVENTS AS ANTI-FREEZING AGENT
Cloud watch
- 2. “ Amazon CloudWatch is a monitoring service for AWS cloud resources and the applications you run on AWS.
- 3. What does it monitor ? ◇ Amazon Service Metrics ◇ Your application Metrics ◇ Custom Logs
- 4. Cloud Watch Features ◇ Upto Minute stats ◇ View Graphs ◇ Set Alarms ◇ Auto scaling
- 5. Basic Monitoring Seven pre-selected metrics at five-minute frequency and three status check metrics at one-minute frequency How can you use Cloud Watch ? Detailed Monitoring All metrics available to Basic Monitoring at one-minute frequency, for an additional charge. Amazon CloudWatch Dashboards : $3.00 per dashboard per month Detailed Monitoring for Amazon EC2 Instances $3.50 per instance per month
- 6. Thanks!