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Confluent Developer ft. Tim Berglund, Adi Polak & Viktor Gamov

Confluent Developer ft. Tim Berglund, Adi Polak & Viktor Gamov

Technology

Automating Infrastructure as Code with Apache Kafka and Confluent ft. Rosemary Wang

Automating Infrastructure as Code with Apache Kafka and Confluent ft. Rosemary Wang

2021-10-26
Download Right click and do "save link as"

Managing infrastructure as code (IaC) instead of using manual processes makes it easy to scale systems and minimize errors. Rosemary Wang (Developer Advocate, HashiCorp, and author of “Essential Infrastructure as Code: Patterns and Practices”) is an infrastructure engineer at heart and an aspiring software developer who is passionate about teaching patterns for infrastructure as code to simplify processes for system admins and software engineers familiar with Python, provisioning tools like Terraform, and cloud service providers. 

The definition of infrastructure has expanded to include anything that delivers or deploys applications. Infrastructure as software or infrastructure as configuration, according to Rosemary, are ideas grouped behind infrastructure as code—the process of automating infrastructure changes in a codified manner, which also applies to DevOps practices, including version controls, continuous integration, continuous delivery, and continuous deployment. Whether you’re using a domain-specific language or a programming language, the practices used to collaborate between you, your team, and your organization are the same—create one application and scale systems.

The ultimate result and benefit of infrastructure as code is automation. Many developers take advantage of managed offerings like Confluent Cloud—fully managed Kafka as a service—to remove the operational burden and configuration layer. Still, as long as complex topologies like connecting to another server on a cloud provider to external databases exist, there is great value to standardizing infrastructure practices. Rosemary shares four characteristics that every infrastructure system should have: 

  1. Resilience
  2. Self-service
  3. Security
  4. Cost reduction

In addition, Rosemary and Tim discuss updating infrastructure with blue-green deployment techniques, immutable infrastructure, and developer advocacy. 

EPISODE LINKS: 

  • Use PODCAST100 to get $100 of free Confluent Cloud usage (details)
  • Use podcon19 to get 40% off “Essential Infrastructure as Code: Patterns and Practices”
  • Watch the video version of this podcast
  • Join the Confluent Community
  • Learn more with Kafka tutorials, resources, and guides at Confluent Developer
  • Live demo: Intro to Event-Driven Microservices with Confluent
view more

More Episodes

Build a Data Streaming App with Apache Kafka and JS - Coding in Motion
2022-05-03
Optimizing Apache Kafka's Internals with Its Co-Creator Jun Rao
2022-04-28
Using Event-Driven Design with Apache Kafka Streaming Applications ft. Bobby Calderwood
2022-04-21
Monitoring Extreme-Scale Apache Kafka Using eBPF at New Relic
2022-04-13
Confluent Platform 7.1: New Features + Updates
2022-04-12
Scaling an Apache Kafka Based Architecture at Therapie Clinic
2022-04-07
Bridging Frontend and Backend with GraphQL and Apache Kafka ft. Gerard Klijs
2022-03-29
Building Real-Time Data Governance at Scale with Apache Kafka ft. Tushar Thole
2022-03-22
Handling 2 Million Apache Kafka Messages Per Second at Honeycomb
2022-03-15
Why Data Mesh? ft. Ben Stopford
2022-03-10
Serverless Stream Processing with Apache Kafka ft. Bill Bejeck
2022-03-03
The Evolution of Apache Kafka: From In-House Infrastructure to Managed Cloud Service ft. Jay Kreps
2022-02-24
What’s Next for the Streaming Audio Podcast ft. Kris Jenkins
2022-02-16
On to the Next Chapter ft. Tim Berglund
2022-02-03
Intro to Event Sourcing with Apache Kafka ft. Anna McDonald
2022-02-01
Expanding Apache Kafka Multi-Tenancy for Cloud-Native Systems ft. Anna Povzner and Anastasia Vela
2022-01-27
Apache Kafka 3.1 - Overview of Latest Features, Updates, and KIPs
2022-01-24
Optimizing Cloud-Native Apache Kafka Performance ft. Alok Nikhil and Adithya Chandra
2022-01-20
From Batch to Real-Time: Tips for Streaming Data Pipelines with Apache Kafka ft. Danica Fine
2022-01-13
Real-Time Change Data Capture and Data Integration with Apache Kafka and Qlik
2022-01-06
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