uncleflo
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GitHub - aws/chalice: Python Serverless Microframework for AWS
Saved by uncleflo on April 10th, 2021.
Python Serverless Microframework for AWS Chalice is a framework for writing serverless apps in python. It allows you to quickly create and deploy applications that use AWS Lambda. It provides: You can create Rest APIs:
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Replicating Amazon Aurora MySQL DB Clusters Across AWS Regions - Amazon Aurora
Saved by uncleflo on July 24th, 2019.
You can create an Amazon Aurora MySQL DB cluster as a Read Replica in a different AWS Region than the source DB cluster. Taking this approach can improve your disaster recovery capabilities, let you scale read operations into an AWS Region that is closer to your users, and make it easier to migrate from one AWS Region to another. For each source DB cluster, you can have up to five cross-region DB clusters that are Read Replicas. When you create an Aurora MySQL DB cluster Read Replica in another AWS Region, you should be aware of some pitfalls.
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AWS re:Invent 2017: How to Design a Multi-Region Active-Active Architecture (ARC319) - YouTube
Saved by uncleflo on July 24th, 2019.
Many customers want a disaster recovery environment, and they want to use this environment daily and know that it's in sync with and can support a production workload. This leads them to an active-active architecture. In other cases, users like Netflix and Lyft are distributed over large geographies. In these cases, multi-region active-active deployments are not optional. Designing these architectures is more complicated than it appears, as data being generated at one end needs to be synced with data at the other end. There are also consistency issues to consider. One needs to make trade-off decisions on cost, performance, and consistency. Further complicating matters is the variety of data stores used in the architecture results in a variety replication methods. In this session, we explore how to design an active-active multi-region architecture using AWS services, including Amazon Route 53, Amazon RDS multi-region replication, AWS DMS, and Amazon DynamoDB Streams. We discuss the challenges, trade-offs, and solutions.
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How are you guys handling QA environments on AWS? : aws
Saved by uncleflo on July 11th, 2019.
News, articles and tools covering Amazon Web Services (AWS), including S3, EC2, SQS, RDS, DynamoDB, IAM, CloudFormation, Route 53, CloudFront, Lambda, VPC, Cloudwatch, Glacier and more. Just a curiosity. At this point I've done: single staging environment for small teams, and that obviously doesn't work well beyond a couple; one off EC2 instances that just use docker to make a mini-replicated environment; cloudformation to spin up an entire, and yet smaller, version of our production; ngrok and just having our QA test directly. The area I'm interested to see how people are handling it is with respect to data. Are you replicating the full DB? Just using in memory and some seed data? Additionally, for those of you that have this (or have had one in the past), how did you guys set it up to be "pleasurable" to work with? By that I mean it not being some long winding rube goldberg machine that almost defeats the purpose of having a CI.
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AWS Certified Solutions Architect - Professional
Saved by uncleflo on July 11th, 2019.
The AWS Certified Solutions Architect – Professional exam is intended for individuals who perform a Solutions Architect–Professional role with one or more years of hands-on experience managing and operating systems on AWS. Build on concepts introduced in Architecting on AWS. Learn how to build complex solutions that incorporate data services, governance, and security on the AWS platform. You will also learn about specialized AWS services, including AWS Direct Connect and AWS Storage Gateway, that support hybrid architecture, and you will learn about best practices for building scalable, elastic, secure, and highly available applications on AWS.
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Working with Amazon Aurora Global Database - Amazon Aurora
Saved by uncleflo on June 23rd, 2019.
Following, you can find a description of Amazon Aurora Global Database. Each Aurora global database spans multiple AWS Regions, enabling low latency global reads and disaster recovery from region-wide outages. An Aurora global database consists of one primary AWS Region where your data is mastered, and one read-only, secondary AWS Region. Aurora replicates data to the secondary AWS Region with typical latency of under a second. You issue write operations directly to the primary DB instance in the primary AWS Region. An Aurora global database uses dedicated infrastructure to replicate your data, leaving database resources available entirely to serve application workloads. Applications with a worldwide footprint can use reader instances in the secondary AWS Region for low latency reads. In the unlikely event your database becomes degraded or isolated in an AWS region, you can promote the secondary AWS Region to take full read-write workloads in under a minute.
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AWS - How to redirect database traffic to a new master on RDS after promoting a read replica? - Server Fault
Saved by uncleflo on June 23rd, 2019.
A lot of RDS's documentation about read replicas contains a magical step along the lines of "direct database traffic to the new master." For instance, their instructions on implementing failure recovery say: This talk about directing traffic glosses over what is actually a complicated step, though. If I were using EC2 instances to host my database, I could give them elastic IPs, use the public DNS address of the instance to address it (which resolves to its private IP from inside AWS), and then instantly swap my entire stack to the read replica by reassigning the elastic IP (and thus simultaneously reassigning the public DNS). I used this method happily back in the days when RDS was considered straightforwardly inferior to rolling your own database instance on EC2 by many DBAs. RDS instances still cannot have elastic IPs, though, so I cannot use this particular trick to magically redirect all my database traffic to a new instance when using RDS.
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AWS Marketplace: CentOS 7 (x86_64) - with Updates HVM
Saved by uncleflo on May 24th, 2019.
This is the Official CentOS 7 x86_64 HVM image that has been built with a minimal profile, suiteable for use in HVM instance types only. The image contains just enough packages to run within AWS, bring up an SSH Server and allow users to login. Please note that this is the default CentOS-7 image that we recommend everyone uses. It contains packages that are updated at points in time to include critical security updates.
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AWS Autoscaling | Autoscaling and Load Balancing in AWS | AWS Training | Edureka - YouTube
Saved by uncleflo on May 24th, 2019.
In this Edureka tutorial on AWS Autoscaling and Load balancing, you will learn how to implement Autoscaling and Load Balacing service in AWS practically. Also, we will see how we can divert our traffic to different servers based on their path name. We have covered the following topics in this tutorial: What are Snapshots and AMIs? Why AutoScaling? What is AutoScaling? What is a Load Balancer? Hands-on.
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AWS Innovate 2018: Developer Edition
Saved by uncleflo on October 28th, 2018.
AWS Innovate: Developer Edition is a digital event designed for developers, business analysts and all types of builders. Hear from Ian Massingham, Lead of Technical & Developer Evangelism at AWS, and learn more about AI & ML, Serverless, Containers, Database Management and Amazon Game Tech in the 20+ sessions offered. Software development practices have evolved substantially over the almost 5 year period that Ian Massingham has been with Amazon Web Services. In this keynote, Ian focuses on the latest trends in software architecture and developer tools. From modern application architectures, to when you should choose serverless over servers, and how you can take advantage of the fundamental characteristics of the AWS cloud to supercharge your Machine Learning applications.
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