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2017 in Review

Andreas Wittig – 30 Dec 2017

The year 2017 is coming to an end. We want to thank our readers, customers, supporters, and partners. It was a pleasure to be part of an inspiring community.

Happy New Year

Blog

We share how-tos, lessons learned and opinions on our blog cloudonaut.io. Thanks for reading, sharing, and providing feedback!

A few facts and numbers.

  • 432,000 pages viewed
  • 220,000 people visiting the site
  • 39 articles published
  • 40,000 written words

The following articles have been read the most in 2017.

We do like most the following articles published in 2017.

Book

AWS in Action, 2nd edition

AWS is innovating fast and a lot changed since we have published our book Amazon Web Services in Action in 2015. Therefore, we decided to revise our book in 2017. We are glad to announce, that we have revised all 14 chapters of our book and also added three more chapters covering Lambda, ElastiCache, and Elastic File System (EFS). The 2nd edition of Amazon Web Services in Action is going to production within the next few weeks. A preview of our book is already available. We’d like to thank all the readers of our book.

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Buy Amazon Web Services in Action, 2nd edition.

Product

AWS in Action, 2nd edition

We have made massive progress with marbot, our chatbot ensuring you never miss an alert from Amazon Web Services in 2017.

  • Introducing marbot plus, a paid plan offering additional features and integrations.
  • Adding integrations to receive alerts from CloudWatch Events, ElastiCache Notifications, RDS Events, Trusted Advisor Updates, …
  • Providing generic endpoints to receive alerts via HTTPS or email.
  • Aggregating and deduplicating alerts.

We’d like to thank all teams who invited marbot to join them via Slack.

Open Source

We do profit from Open Source in our day-to-day work. That’s why we are trying to give something back to the community by sharing the following projects with you.

Thanks to all the contributors to one of our Open Source projects.

Consulting Projects

We enjoy supporting our consulting clients with our AWS and DevOps expertise. In 2017 we have worked together with small startups, medium-sized companies, and big enterprises. We’d like to thank our consulting clients for putting their trust into our AWS and DevOps expertise.

A few technologies that we have used in 2017 to solve the real-world challenges of our clients:

  • Kubernetes on AWS
  • Deployment Pipelines with GitLab
  • Infrastructure as Code with CloudFormation and Terraform
  • Elastic Container Service (ECS)
  • AWS Organisations and IAM
  • Deployment Pipelines with Jenkins and SonarQube
  • Collecting and processing events with AWS IoT
  • Monitoring and Logging with Elasticsearch and Kibana
  • Serverless with Lambda, API Gateway, and DynamoDB
  • Caching database requests with ElatiCache (Redis)
  • Orchestrating Lambda with Step Functions
  • Event-driven architectures with Kinesis
  • Encrypting data-at-rest with KMS

We wish you a Happy New Year.

Tags: aws
Andreas Wittig

Andreas Wittig

I’m an independent consultant, technical writer, and programming founder. All these activities have to do with AWS. I’m writing this blog and all other projects together with my brother Michael.

In 2009, we joined the same company as software developers. Three years later, we were looking for a way to deploy our software—an online banking platform—in an agile way. We got excited about the possibilities in the cloud and the DevOps movement. It’s no wonder we ended up migrating the whole infrastructure of Tullius Walden Bank to AWS. This was a first in the finance industry, at least in Germany! Since 2015, we have accelerated the cloud journeys of startups, mid-sized companies, and enterprises. We have penned books like Amazon Web Services in Action and Rapid Docker on AWS, we regularly update our blog, and we are contributing to the Open Source community. Besides running a 2-headed consultancy, we are entrepreneurs building Software-as-a-Service products.

We are available for projects.

You can contact me via Email, Twitter, and LinkedIn.

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