This document is a brief tutorial for integration AWS and Slack. It shows implementing AWS CloudWatch notification to Slack, when any of your AWS service thresholds cross the set boundary.
This document provides an overview and introduction to using the libcloud library for multi-cloud management. It discusses key concepts like providers, drivers, images, sizes and locations. It provides examples of how to connect to providers like EC2 and Rackspace, launch nodes, list existing nodes, and destroy nodes. Libcloud supports a common API across many cloud providers for tasks like compute management.
Monitoring Containers at Scale - September Webinar SeriesAmazon Web Services
Containers come and go rapidly, which is great for scalable or fast-evolving infrastructure. However, the short life of containers make it more challenging to monitor, leaving many with questions such as: How many containers can you run on a given Amazon EC2 instance type? Which metric should you look at to measure contention? How do you manage fleets of containers at scale? In this session, we'll present the challenges and benefits of running containers at scale, how to use quantitative performance patterns to monitor your infrastructure at this magnitude and complexity, and we'll discuss proven strategies for monitoring your containerized infrastructure on AWS and ECS.
Learning Objectives:
- Set up the infrastructure to monitor your containers running on AWS
- Understand the metrics available and what they mean
- Define a strategy to monitor your containers
Higher order infrastructure: from Docker basics to cluster management - Nicol...Codemotion
The container abstraction hit the collective developer mind with great force and created a space of innovation for the distribution, configuration and deployment of cloud based applications. Now that this new model has established itself work is moving towards orchestration and coordination of loosely coupled network services. There is an explosion of tools in this arena at different degrees of stability but the momentum is huge. On the above premise this session we'll give an overview of the orchestration landscape and a (semi)live demo of cluster management using a sample application.
AWS Study Group - Chapter 03 - Elasticity and Scalability Concepts [Solution ...QCloudMentor
Ch3 Elasticity and Scalability Concepts
Technical requirements
Sources of failure
Dividing and conquering
Virtualization technologies
LAMP installation
Scaling the webserver
Resiliency
EC2 persistence model
Disaster recovery
Cascading deletion
Bootstrapping
Scaling the compute layer
Scaling a database server
Summary
Further reading
About docker cluster management tools
1. Base concepts of cluster
management and docker
2. Docker Swarm
3. Amazon EC2 Container Service
4. Kubernetes
5. Mesosphere
This document provides an introduction and overview of Apache Mesos. It begins by describing Mesos' origins at companies like Google and how it enables fine-grained resource sharing in data centers. It then discusses concepts like schedulers, executors, frameworks and how Mesos allows building distributed applications and data center infrastructure. The document also covers Mesos concepts such as resources, attributes, roles, constraints and how tools like Marathon interact with Mesos. Finally, it provides examples of Mesos frameworks for technologies like Kafka and Cassandra.
This document provides an overview and introduction to using the libcloud library for multi-cloud management. It discusses key concepts like providers, drivers, images, sizes and locations. It provides examples of how to connect to providers like EC2 and Rackspace, launch nodes, list existing nodes, and destroy nodes. Libcloud supports a common API across many cloud providers for tasks like compute management.
Monitoring Containers at Scale - September Webinar SeriesAmazon Web Services
Containers come and go rapidly, which is great for scalable or fast-evolving infrastructure. However, the short life of containers make it more challenging to monitor, leaving many with questions such as: How many containers can you run on a given Amazon EC2 instance type? Which metric should you look at to measure contention? How do you manage fleets of containers at scale? In this session, we'll present the challenges and benefits of running containers at scale, how to use quantitative performance patterns to monitor your infrastructure at this magnitude and complexity, and we'll discuss proven strategies for monitoring your containerized infrastructure on AWS and ECS.
Learning Objectives:
- Set up the infrastructure to monitor your containers running on AWS
- Understand the metrics available and what they mean
- Define a strategy to monitor your containers
Higher order infrastructure: from Docker basics to cluster management - Nicol...Codemotion
The container abstraction hit the collective developer mind with great force and created a space of innovation for the distribution, configuration and deployment of cloud based applications. Now that this new model has established itself work is moving towards orchestration and coordination of loosely coupled network services. There is an explosion of tools in this arena at different degrees of stability but the momentum is huge. On the above premise this session we'll give an overview of the orchestration landscape and a (semi)live demo of cluster management using a sample application.
AWS Study Group - Chapter 03 - Elasticity and Scalability Concepts [Solution ...QCloudMentor
Ch3 Elasticity and Scalability Concepts
Technical requirements
Sources of failure
Dividing and conquering
Virtualization technologies
LAMP installation
Scaling the webserver
Resiliency
EC2 persistence model
Disaster recovery
Cascading deletion
Bootstrapping
Scaling the compute layer
Scaling a database server
Summary
Further reading
About docker cluster management tools
1. Base concepts of cluster
management and docker
2. Docker Swarm
3. Amazon EC2 Container Service
4. Kubernetes
5. Mesosphere
This document provides an introduction and overview of Apache Mesos. It begins by describing Mesos' origins at companies like Google and how it enables fine-grained resource sharing in data centers. It then discusses concepts like schedulers, executors, frameworks and how Mesos allows building distributed applications and data center infrastructure. The document also covers Mesos concepts such as resources, attributes, roles, constraints and how tools like Marathon interact with Mesos. Finally, it provides examples of Mesos frameworks for technologies like Kafka and Cassandra.
Introduction to AWS Lambda given at Schibsted's Data Learning Sessions (March 2017). The session gives an overview to this AWS service as well as a practical example of how we use it in the personalisation team (to read and process content events from Kinesis).
Listen up, developers. You are not special. Your infrastructure is not a beautiful and unique snowflake. You have the same tech debt as everyone else. This is a talk about a better way to build and manage infrastructure: Terraform Modules. It goes over how to build infrastructure as code, package that code into reusable modules, design clean and flexible APIs for those modules, write automated tests for the modules, and combine multiple modules into an end-to-end techs tack in minutes.
You can find the video here: https://www.youtube.com/watch?v=LVgP63BkhKQ
Hands-on Lab to compare and contrast relational queries (using RDS for MySQL) with non-relational queries (using ElastiCache for Redis). You’ll need a laptop with a Firefox or Chrome browser.
1. The document demonstrates how to use various AWS services like Kinesis, Redshift, Elasticsearch to analyze streaming game log data.
2. It shows setting up an EC2 instance to generate logs, creating a Kinesis stream to ingest the logs, and building Redshift tables to run queries on the logs.
3. The document also explores loading the logs from Kinesis into Elasticsearch for search and linking Kinesis and Redshift with Kinesis Analytics for real-time SQL queries on streams.
Introduction to Apache CloudStack by David Nalleybuildacloud
Apache CloudStack is a mature, easy to deploy IaaS platform. That doesn't mean that it can be done without thought or preparation. Learn how CloudStack can be most efficiently deployed, and the problems to avoid in the process.
About David Nalley
David is a recovering sysadmin with a decade of experience. He’s a committer on the Apache CloudStack (incubating) project, a contributor to the Fedora Project and the Vice President of Infrastructure at the Apache Software Foundation.
Disaster Recovery Site on AWS - Minimal Cost Maximum Efficiency (STG305) | AW...Amazon Web Services
Disaster Recovery Site on AWS: Minimal Cost Maximum Efficiency discusses setting up disaster recovery sites on AWS for minimal cost and maximum efficiency. Common disaster recovery architectures on AWS include pilot light, where a scaled-down copy of production resources is kept running, and backup and restore, where backups are taken and restored in an outage. Customer case studies demonstrate cost savings of up to 70% for disaster recovery sites on AWS compared to on-premises solutions.
In this presentation, I am going to briefly talk about 'what cloud is' and highlight the various types of cloud (IaaS, PaaS, SaaS). The bulk of the talk will be about using the fog gem using IaaS. I will discuss fog concepts (collections, models, requests, services, providers) and supporting these with actual examples using fog
This document provides instructions for a hands-on lab to set up ElastiCache for Redis, Amazon RDS for MySQL, and load Landsat satellite image data into both systems. Key steps include: creating EC2 and database instances; installing MySQL and Redis clients; loading data into the MySQL database; running a Python script to populate Redis from MySQL; and performing sample queries against each database to compare performance.
The document discusses Amazon Web Services (AWS) and provides information about AWS regions and availability zones, Elastic Compute Cloud (EC2) instances, Elastic Block Storage (EBS), security groups, Elastic Load Balancing (ELB), and using CloudFormation to define AWS resources like EC2 instances, security groups, and ELBs. It includes pricing information for different types of EC2 instances and reserved capacity options.
Programming the Physical World with Device Shadows and Rules EngineAmazon Web Services
Learn more about how to use AWS IoT's Device Shadows and Rules Engine to build powerful IoT applications. With Device Shadows, you can build applications that interact with your devices by providing always available REST APIs. By taking advantage of AWS IoT's topic-based rules and built-in integrations, you can build IoT applications that gather, process, analyze, and act on data generated by connected devices at global scale, without having to manage any infrastructure.
by Ben Willett, Solutions Architect, AWS
Database Week at the AWS Loft is an opportunity to learn about Amazon’s broad and deep family of managed database services. These services provide easy, scalable, reliable, and cost-effective ways to manage your data in the cloud. We explain the fundamentals and take a technical deep dive into Amazon RDS and Amazon Aurora relational databases, Amazon DynamoDB non-relational databases, Amazon Neptune graph databases, and Amazon ElastiCache managed Redis, along with options for database migration, caching, search and more. You'll will learn how to get started, how to support applications, and how to scale.
Running and managing large scale applications with microservices architectures is difficult and often requires operating complex container management infrastructure. Amazon EC2 Container Service (ECS) is a highly scalable, high performance service for running and managing Docker applications. In this webinar, we will walk through a number of patterns and tools used by our customers to run their applications on Amazon ECS. We will show you how to set up, manage and scale your Amazon ECS resources, keep them secure and deploy your applications to an Amazon ECS cluster. We will also provide best practices for monitoring, logging and service discovery.
Learning Objectives:
• Learn how to set up and manage Amazon ECS for production applications
• Learn how to schedule containers on production clusters using Amazon ECS
Who Should Attend:
•Developers, DevOps, Sys Admin
Self Service Agile Infrastructure for Product Teams - Pop-up Loft Tel AvivAmazon Web Services
Today’s modern infrastructure allows product teams to take full advantage of “infrastructure-as-code” and deliver value to their customers faster through a seamless & smart delivery pipeline.This delivery pipeline is built using AWS and 3rd party tools such as CloudFormation, Lambda, Terraform, Jenkins, Beanstalk, CodeDeploy, Ansible, and Docker. In the presentation we will walk you through the best practices of combining all the above into a “smart-delivery-pipeline” for your team. By Oron Adam, Emind CTO
AWS Presents: Infrastructure as Code on AWS - ChefConf 2015Chef
Find out how to create automated infrastructure deployments using versioned Infrastructure as Code - CloudFormation templates on AWS. This talk will walk through two example CloudFormation templates. The first template will show how to use CloudFormation via AWS cli commands to create a Chef Server 12 instance and have it upload it’s client validation pem into private S3 bucket also created by the template. The second template will show how to use CloudFormation to create multiple client node instances in AWS EC2 and have them automatically bootstrap into the new Chef 12 Server instance. Links will be provided to the CloudFormation template code used for the demo for example purposes.
https://youtu.be/WXLDdGxfEsI
Scaling Drupal in AWS Using AutoScaling, Cloudformation, RDS and moreDropsolid
Given at DrupalJam 2015 - Netherlands.
This presentation explains some of the fundamental issues you have to overcome when designing software for distributed systems that can fail. Also called "Cloud" in other terminologies. The presentation uses AWS components to explain these fundamentals and uses Drupal as the example application. The example is by no means perfect, but gives you a good idea how to design your system from scratch.
Technologies used:
Cloudformation
EC2 Instances
RDS MySQL Database
Elastic Load Balancer
ElastiCache (Memcache)
Example can be found here:
https://gist.github.com/nickveenhof/601c5dc1b76ff26896bf
Take note that the example does not include components such as VPC for simplicity, but it is highly recommended to add this.
This document provides an overview and summary of DevOps, microservices, and serverless architecture. It discusses key concepts like DevOps and how it relates to software delivery. Microservices and their rise in popularity for building loosely coupled services. Serverless architecture and how it abstracts away infrastructure management. It also summarizes different AWS services that can be used to build microservices and serverless applications, like ECS, Lambda, API Gateway, and provides examples of architectures using these services.
This document discusses how to create and manage a "thing" shadow using AWS IoT. It involves:
1. Creating a script to set the shadow state of a "thing" called "thingtest" with a temperature value.
2. Creating another script to subscribe to shadow updates and log received messages, allowing the shadow state to be read.
3. The ability to update the shadow via scripts or the AWS IoT dashboard is demonstrated.
by Jeff Duffy, Database Specialist Solution Architect, AWS
Database Week at the AWS Loft is an opportunity to learn about Amazon’s broad and deep family of managed database services. These services provide easy, scalable, reliable, and cost-effective ways to manage your data in the cloud. We explain the fundamentals and take a technical deep dive into Amazon RDS and Amazon Aurora relational databases, Amazon DynamoDB non-relational databases, Amazon Neptune graph databases, and Amazon ElastiCache managed Redis, along with options for database migration, caching, search and more. You'll will learn how to get started, how to support applications, and how to scale.
The document introduces ChatGPT, an AI chatbot created by OpenAI, and provides instructions for getting started using it through a web browser by signing in with a Microsoft or Google account. It also describes some of ChatGPT's capabilities like answering questions and limitations, as well as resources for learning more about developing with OpenAI and ChatGPT through their GitHub repositories and other online materials.
Grafana and AWS - Implementation and UsageManish Chopra
This article provides a use case scenario of Grafana on AWS (Amazon Web Services). It demonstrates a brief implementation of Grafana as a Docker container, and connects to Amazon Cloudwatch data source. It then monitors events and allows visualizing using native methods and customization. Grafana can be setup in production as given in the document.
More Related Content
Similar to AWS and Slack Integration - Sending CloudWatch Notifications to Slack.pdf
Introduction to AWS Lambda given at Schibsted's Data Learning Sessions (March 2017). The session gives an overview to this AWS service as well as a practical example of how we use it in the personalisation team (to read and process content events from Kinesis).
Listen up, developers. You are not special. Your infrastructure is not a beautiful and unique snowflake. You have the same tech debt as everyone else. This is a talk about a better way to build and manage infrastructure: Terraform Modules. It goes over how to build infrastructure as code, package that code into reusable modules, design clean and flexible APIs for those modules, write automated tests for the modules, and combine multiple modules into an end-to-end techs tack in minutes.
You can find the video here: https://www.youtube.com/watch?v=LVgP63BkhKQ
Hands-on Lab to compare and contrast relational queries (using RDS for MySQL) with non-relational queries (using ElastiCache for Redis). You’ll need a laptop with a Firefox or Chrome browser.
1. The document demonstrates how to use various AWS services like Kinesis, Redshift, Elasticsearch to analyze streaming game log data.
2. It shows setting up an EC2 instance to generate logs, creating a Kinesis stream to ingest the logs, and building Redshift tables to run queries on the logs.
3. The document also explores loading the logs from Kinesis into Elasticsearch for search and linking Kinesis and Redshift with Kinesis Analytics for real-time SQL queries on streams.
Introduction to Apache CloudStack by David Nalleybuildacloud
Apache CloudStack is a mature, easy to deploy IaaS platform. That doesn't mean that it can be done without thought or preparation. Learn how CloudStack can be most efficiently deployed, and the problems to avoid in the process.
About David Nalley
David is a recovering sysadmin with a decade of experience. He’s a committer on the Apache CloudStack (incubating) project, a contributor to the Fedora Project and the Vice President of Infrastructure at the Apache Software Foundation.
Disaster Recovery Site on AWS - Minimal Cost Maximum Efficiency (STG305) | AW...Amazon Web Services
Disaster Recovery Site on AWS: Minimal Cost Maximum Efficiency discusses setting up disaster recovery sites on AWS for minimal cost and maximum efficiency. Common disaster recovery architectures on AWS include pilot light, where a scaled-down copy of production resources is kept running, and backup and restore, where backups are taken and restored in an outage. Customer case studies demonstrate cost savings of up to 70% for disaster recovery sites on AWS compared to on-premises solutions.
In this presentation, I am going to briefly talk about 'what cloud is' and highlight the various types of cloud (IaaS, PaaS, SaaS). The bulk of the talk will be about using the fog gem using IaaS. I will discuss fog concepts (collections, models, requests, services, providers) and supporting these with actual examples using fog
This document provides instructions for a hands-on lab to set up ElastiCache for Redis, Amazon RDS for MySQL, and load Landsat satellite image data into both systems. Key steps include: creating EC2 and database instances; installing MySQL and Redis clients; loading data into the MySQL database; running a Python script to populate Redis from MySQL; and performing sample queries against each database to compare performance.
The document discusses Amazon Web Services (AWS) and provides information about AWS regions and availability zones, Elastic Compute Cloud (EC2) instances, Elastic Block Storage (EBS), security groups, Elastic Load Balancing (ELB), and using CloudFormation to define AWS resources like EC2 instances, security groups, and ELBs. It includes pricing information for different types of EC2 instances and reserved capacity options.
Programming the Physical World with Device Shadows and Rules EngineAmazon Web Services
Learn more about how to use AWS IoT's Device Shadows and Rules Engine to build powerful IoT applications. With Device Shadows, you can build applications that interact with your devices by providing always available REST APIs. By taking advantage of AWS IoT's topic-based rules and built-in integrations, you can build IoT applications that gather, process, analyze, and act on data generated by connected devices at global scale, without having to manage any infrastructure.
by Ben Willett, Solutions Architect, AWS
Database Week at the AWS Loft is an opportunity to learn about Amazon’s broad and deep family of managed database services. These services provide easy, scalable, reliable, and cost-effective ways to manage your data in the cloud. We explain the fundamentals and take a technical deep dive into Amazon RDS and Amazon Aurora relational databases, Amazon DynamoDB non-relational databases, Amazon Neptune graph databases, and Amazon ElastiCache managed Redis, along with options for database migration, caching, search and more. You'll will learn how to get started, how to support applications, and how to scale.
Running and managing large scale applications with microservices architectures is difficult and often requires operating complex container management infrastructure. Amazon EC2 Container Service (ECS) is a highly scalable, high performance service for running and managing Docker applications. In this webinar, we will walk through a number of patterns and tools used by our customers to run their applications on Amazon ECS. We will show you how to set up, manage and scale your Amazon ECS resources, keep them secure and deploy your applications to an Amazon ECS cluster. We will also provide best practices for monitoring, logging and service discovery.
Learning Objectives:
• Learn how to set up and manage Amazon ECS for production applications
• Learn how to schedule containers on production clusters using Amazon ECS
Who Should Attend:
•Developers, DevOps, Sys Admin
Self Service Agile Infrastructure for Product Teams - Pop-up Loft Tel AvivAmazon Web Services
Today’s modern infrastructure allows product teams to take full advantage of “infrastructure-as-code” and deliver value to their customers faster through a seamless & smart delivery pipeline.This delivery pipeline is built using AWS and 3rd party tools such as CloudFormation, Lambda, Terraform, Jenkins, Beanstalk, CodeDeploy, Ansible, and Docker. In the presentation we will walk you through the best practices of combining all the above into a “smart-delivery-pipeline” for your team. By Oron Adam, Emind CTO
AWS Presents: Infrastructure as Code on AWS - ChefConf 2015Chef
Find out how to create automated infrastructure deployments using versioned Infrastructure as Code - CloudFormation templates on AWS. This talk will walk through two example CloudFormation templates. The first template will show how to use CloudFormation via AWS cli commands to create a Chef Server 12 instance and have it upload it’s client validation pem into private S3 bucket also created by the template. The second template will show how to use CloudFormation to create multiple client node instances in AWS EC2 and have them automatically bootstrap into the new Chef 12 Server instance. Links will be provided to the CloudFormation template code used for the demo for example purposes.
https://youtu.be/WXLDdGxfEsI
Scaling Drupal in AWS Using AutoScaling, Cloudformation, RDS and moreDropsolid
Given at DrupalJam 2015 - Netherlands.
This presentation explains some of the fundamental issues you have to overcome when designing software for distributed systems that can fail. Also called "Cloud" in other terminologies. The presentation uses AWS components to explain these fundamentals and uses Drupal as the example application. The example is by no means perfect, but gives you a good idea how to design your system from scratch.
Technologies used:
Cloudformation
EC2 Instances
RDS MySQL Database
Elastic Load Balancer
ElastiCache (Memcache)
Example can be found here:
https://gist.github.com/nickveenhof/601c5dc1b76ff26896bf
Take note that the example does not include components such as VPC for simplicity, but it is highly recommended to add this.
This document provides an overview and summary of DevOps, microservices, and serverless architecture. It discusses key concepts like DevOps and how it relates to software delivery. Microservices and their rise in popularity for building loosely coupled services. Serverless architecture and how it abstracts away infrastructure management. It also summarizes different AWS services that can be used to build microservices and serverless applications, like ECS, Lambda, API Gateway, and provides examples of architectures using these services.
This document discusses how to create and manage a "thing" shadow using AWS IoT. It involves:
1. Creating a script to set the shadow state of a "thing" called "thingtest" with a temperature value.
2. Creating another script to subscribe to shadow updates and log received messages, allowing the shadow state to be read.
3. The ability to update the shadow via scripts or the AWS IoT dashboard is demonstrated.
by Jeff Duffy, Database Specialist Solution Architect, AWS
Database Week at the AWS Loft is an opportunity to learn about Amazon’s broad and deep family of managed database services. These services provide easy, scalable, reliable, and cost-effective ways to manage your data in the cloud. We explain the fundamentals and take a technical deep dive into Amazon RDS and Amazon Aurora relational databases, Amazon DynamoDB non-relational databases, Amazon Neptune graph databases, and Amazon ElastiCache managed Redis, along with options for database migration, caching, search and more. You'll will learn how to get started, how to support applications, and how to scale.
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The document introduces ChatGPT, an AI chatbot created by OpenAI, and provides instructions for getting started using it through a web browser by signing in with a Microsoft or Google account. It also describes some of ChatGPT's capabilities like answering questions and limitations, as well as resources for learning more about developing with OpenAI and ChatGPT through their GitHub repositories and other online materials.
Grafana and AWS - Implementation and UsageManish Chopra
This article provides a use case scenario of Grafana on AWS (Amazon Web Services). It demonstrates a brief implementation of Grafana as a Docker container, and connects to Amazon Cloudwatch data source. It then monitors events and allows visualizing using native methods and customization. Grafana can be setup in production as given in the document.
In this article, AWS Auto scaling is demonstrated with a web service implementation on Amazon ECS (Elastic Container Service) that uses NGinx web server. To accommodate large number to simultaneous requests, AWS Auto scaling is planned and implemented. Thereafter, load testing is carried out, which triggers an alarm in AWS and the ECS containers start to scale up to become 4 similar tasks running in parallel. When the load on web server is removed, the ECS containers gradually decrement back to the original state.
OpenKM is a Free/Libre document management system that provides a web interface for managing arbitrary files. OpenKM includes a content repository, Lucene indexing, and jBPM workflow. The OpenKM system was developed using Java technology.
Alfresco Content Services provides open, flexible, highly scalable Enterprise Content Management
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Microservices with Dockers and KubernetesManish Chopra
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An up-to-date course material detailing UNIX and Linux operating systems for graduate students who aspire to work towards gaining meaningful employment in the corporate world.
This is the Day-4 lab exercise for CGI group webinar series. It primarily includes demonstrations on Hive, Analytics and other tools on the Cloudera Hadoop Platform.
This tutorial presents how a new Dataset can be prepared by joining multiple Excel files into a single CSV file. The final Dataset can be used with RDBMS systems and Big Data based NoSQL systems.
Organizations with largest hadoop clustersManish Chopra
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Ceph, GlusterFS, Lustre, and MooseFS are popular open source distributed file systems. They differ in their architectures, how they manage metadata and data, handle failures, and provide load balancing. Ceph uses object storage devices and metadata servers while GlusterFS relies on replication between storage devices without a centralized metadata server. Lustre and MooseFS both use centralized metadata management with MooseFS providing metadata server failover.
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This document provides instructions for installing Oracle Solaris 11 in a virtualized environment using VMware. It outlines downloading the Solaris 11 ISO file, creating a new virtual machine in VMware using the ISO, and following additional installation steps displayed in subsequent slides to complete the installation process. The presentation demonstrates and guides the user through the full Solaris 11 installation within a virtual machine.
A customized course that covers topics ranging from usage of Linux, understanding of Big Data including several Distributed File Systems like GlusterFS, Ceph, Lustre, Hadoop, Hive, Pig, NoSQL databases, Spark, different types of Analytics like Business/Predictive/Real-Time/Web and Big Data Analytics, Proof of Concept solutions and use cases.
Emergence and Importance of Cloud Computing for the EnterpriseManish Chopra
Cloud appeared as a buzzword around a decade ago, and the technology has made inroads into many enterprises now.
For any modern IT organisation, it is essential to have an active presence on the internet. Few techniques of automation would enhance such presence, as customers, stakeholders and employees get a single platform to be in sync anytime and from anywhere.
Steps to create an RPM package in LinuxManish Chopra
This exercise was done on RHEL 6 and same steps are applicable for other variants too. This tutorial provides you with steps to create your own RPM packages in Linux. Following procedure shows creating a basic RPM package that includes a shell script. After the RPM is installed, the script is executed on the command prompt to display the output.
Setting up a HADOOP 2.2 cluster on CentOS 6Manish Chopra
Create your own Hadoop distributed cluster using 3 virtual machines. Linux (CentOS 6 or RHEL 6) can be used, along with Java and Hadoop binary distributions.
Google's search engine consists of 3 main parts: Googlebot the web crawler, the indexer that sorts words from crawled pages into a database, and the query processor that compares search terms to the index to return relevant results. Googlebot simultaneously crawls thousands of pages using links and submissions to comprehensively index the web. The indexer ignores common words and stores each word with linked pages. The query processor uses algorithms like PageRank and proximity to return the most relevant results matching search terms and phrases.
GraphSummit Paris - The art of the possible with Graph TechnologyNeo4j
Sudhir Hasbe, Chief Product Officer, Neo4j
Join us as we explore breakthrough innovations enabled by interconnected data and AI. Discover firsthand how organizations use relationships in data to uncover contextual insights and solve our most pressing challenges – from optimizing supply chains, detecting fraud, and improving customer experiences to accelerating drug discoveries.
WhatsApp offers simple, reliable, and private messaging and calling services for free worldwide. With end-to-end encryption, your personal messages and calls are secure, ensuring only you and the recipient can access them. Enjoy voice and video calls to stay connected with loved ones or colleagues. Express yourself using stickers, GIFs, or by sharing moments on Status. WhatsApp Business enables global customer outreach, facilitating sales growth and relationship building through showcasing products and services. Stay connected effortlessly with group chats for planning outings with friends or staying updated on family conversations.
AI Fusion Buddy Review: Brand New, Groundbreaking Gemini-Powered AI AppGoogle
AI Fusion Buddy Review: Brand New, Groundbreaking Gemini-Powered AI App
👉👉 Click Here To Get More Info 👇👇
https://sumonreview.com/ai-fusion-buddy-review
AI Fusion Buddy Review: Key Features
✅Create Stunning AI App Suite Fully Powered By Google's Latest AI technology, Gemini
✅Use Gemini to Build high-converting Converting Sales Video Scripts, ad copies, Trending Articles, blogs, etc.100% unique!
✅Create Ultra-HD graphics with a single keyword or phrase that commands 10x eyeballs!
✅Fully automated AI articles bulk generation!
✅Auto-post or schedule stunning AI content across all your accounts at once—WordPress, Facebook, LinkedIn, Blogger, and more.
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✅Automatically create & sell AI content, graphics, websites, landing pages, & all that gets you paid non-stop 24*7.
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See My Other Reviews Article:
(1) AI Genie Review: https://sumonreview.com/ai-genie-review
(2) SocioWave Review: https://sumonreview.com/sociowave-review
(3) AI Partner & Profit Review: https://sumonreview.com/ai-partner-profit-review
(4) AI Ebook Suite Review: https://sumonreview.com/ai-ebook-suite-review
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AI Pilot Review: The World’s First Virtual Assistant Marketing SuiteGoogle
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(2) SocioWave Review: https://sumonreview.com/sociowave-review
(3) AI Partner & Profit Review: https://sumonreview.com/ai-partner-profit-review
(4) AI Ebook Suite Review: https://sumonreview.com/ai-ebook-suite-review
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AWS and Slack Integration - Sending CloudWatch Notifications to Slack.pdf
1. AWS and Slack Integration
Sending CloudWatch Notifications to Slack
Contents
Objective..................................................................................................................................... 1
AWS CloudWatch ...................................................................................................................... 1
Create an AWS Access Key and Secret...................................................................................... 2
Create a Role............................................................................................................................... 2
Deploy the Lambda function ...................................................................................................... 3
Create an SNS topic and subscription......................................................................................... 7
Create a Cloudwatch Alarm........................................................................................................ 8
Testing AWS Cloudwatch Alarm Notification to Slack........................................................... 10
References:................................................................................................................................ 11
Objective
To create a Proof of Concept project that monitors AWS resources and sends notifications to a
Slack channel in the event of application metrics exceeding threshold limits.
This writing is of February 2021, when the requirement of including this module was raised for
the larger project. As the project starts getting deployed on Amazon AWS, we need continuous
monitoring of the workloads and application metrics. In case of any warnings or errors, suitable
messages should be routed to Slack so that admin or dedicated team members would be notified
and then they can take suitable actions to fix the anomalies.
AWS CloudWatch
CloudWatch enables us to monitor our AWS resources and the applications in real time. It not
only gives us access to metrics, but also creates alarms for specific cases.
To establish this system, following steps were carried out.
Create an AWS Access Key and Secret
Create a Role
Deploy the Lambda function
Create an SNS topic and subscription
Create a Cloudwatch Alarm
2. Create an AWS Access Key and Secret
Prior to getting started with this project, having an account on AWS is required. Secondly, a key-
pair is also needed. Both the prerequisites were already present, hence we can continue to the
next step.
Create a Role
The Role will be used by the Lambda function and requires permission to do certain things.
Type a role name, such as “cloudwatch-to-slack-role,” click on the newly created role in the list
and copy the ARN name. We will use it later during deployment of the Lambda function.
3. Deploy the Lambda function
To deploy the AWS Lambda function, clone this repository and have Node.js installed on your
local machine.
linux@Docker-Host:/opt$ sudo git clone https://github.com/assertible/lambda-cloudwatch-slack
Cloning into 'lambda-cloudwatch-slack'...
remote: Enumerating objects: 6, done.
remote: Counting objects: 100% (6/6), done.
remote: Compressing objects: 100% (6/6), done.
remote: Total 268 (delta 2), reused 0 (delta 0), pack-reused 262
Receiving objects: 100% (268/268), 695.88 KiB | 769.00 KiB/s, done.
Resolving deltas: 100% (131/131), done.
linux@Docker-Host:/opt$ cd /opt/lambda-cloudwatch-slack
linux@Docker-Host:/opt/lambda-cloudwatch-slack$ sudo cp .env.example .env
Open the .env file and fill in the environment variables.
linux@Docker-Host:/opt/lambda-cloudwatch-slack$ sudo vi .env
linux@Docker-Host:/opt/lambda-cloudwatch-slack$ cat .env
#KMS_ENCRYPTED_HOOK_URL= you can use ENCRYPTED_HOOK_URL if you want
UNENCRYPTED_HOOK_URL=https://hooks.slack.com/services/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
AWS_FUNCTION_NAME=cloudwatch-to-slack
AWS_REGION=us-east-2
AWS_ROLE="arn:aws:iam::386222297872:role/cloudwatch-to-slack-role"
AWS_ACCESS_KEY_ID=ABCLMNXYZXYZ
AWS_SECRET_ACCESS_KEY=ABCLMNXYZXYZABCLMNXYZXYZ
linux@Docker-Host:/opt/lambda-cloudwatch-slack$ sudo apt install npm
4. Now as we are ready to deploy, run the following command in your terminal from the folder
where the repository was cloned:
root@Docker-Host:/opt/lambda-cloudwatch-slack# npm run deploy
> lambda-cloudwatch-slack@0.4.0 deploy /opt/lambda-cloudwatch-slack
> ./scripts/deploy.sh
=> Moving files to temporary directory
=> Running npm ci --production
=> Zipping deployment package
=> Zipping repo. This might take up to 30 seconds
=> Reading zip file to memory
=> Reading event source file to memory
=> Uploading zip file to AWS Lambda us-east-2 with parameters:
{
FunctionName: 'cloudwatch-to-slack',
Code: {
ZipFile: <Buffer 50 4b 03 04 14 00 08 00 08 00 82 80 4c 52 00 00 00 00 00 00 00 00 00 00 00 00 04 00
00 00 2e 65 6e 76 6d 91 4b 6f a3 30 14 85 f7 fc 0a ab 59 13 12 a8 ... 5669872 more bytes>
},
Handler: 'index.handler',
Role: 'arn:aws:iam::386222297872:role/cloudwatch-to-slack-role',
Runtime: 'nodejs12.x',
Description: 'Better Slack notifications for AWS CloudWatch',
MemorySize: 128,
7. Create an SNS topic and subscription
In AWS web interface, go to the Simple Notification Service.
8. In the Topics, click Create New Topic, such as “cloudwatch-alarms” for the notification that will
be sent.
Select AWS Lambda as your Protocol and pick the endpoint with the name of your function.
Create a Cloudwatch Alarm
Navigate through Cloudwatch to your AWS account and click Create Alarm.
9. Chose the metric you would like to monitor, define the alarm configuration and select your SNS
topic name in the Send Notification To section.
10. Testing AWS CloudWatch Alarm Notification to Slack
Start or choose the AWS resource to monitor, as an ECS container in our case. For testing
purpose, decrease the value of metric suitably.
11. If everything is configured properly, you will see the message in your Slack channel.
References
Amazon CloudWatch Documentation
https://docs.aws.amazon.com/cloudwatch/index.html
AWS Lambda Documentation
https://docs.aws.amazon.com/lambda/index.html