Developer Tech Radar by Alistair Israel | DevCon Summit 2015 #GoOpenSourcePH
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This document discusses various technology topics including DevOps, Docker, microservices, and cloud computing. It provides an overview of the exponential growth of data and importance of handling increasing volumes over time. DevOps is defined as a culture that breaks down silos between development and operations teams to prioritize continuous integration, delivery, scalability, reliability and security. Docker is introduced as a tool for building and shipping applications but is not just lightweight virtual machines or a configuration tool. Microservices architecture is also discussed as an approach involving small, independent services that use language-agnostic APIs.
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Developer Tech Radar by Alistair Israel | DevCon Summit 2015 #GoOpenSourcePH
- 3. Acaleph
- 5. README.MD ALISTAIR ISRAEL ▸In 1999, developed and deployed a 20M page view/month Web site ▸On two (2) HP servers (active-passive, manual failover) ▸Dual Pentium 3 CPUs at 500+ MHz ▸256MB RAM ▸200GB HD ▸ASP and C++ on Microsoft IIS
- 10. Lines of Code (Open Source) http://dirkriehle.com/publications/2008-2/the-total-growth-of-open-source/
- 12. 2009 790 EB 2010 1.2 ZB 2020 35 ZB 2015 7.9 ZB http://www.csc.com Global Data
- 13. “EXPONENTIAL GROWTH WILL CONTINUE INDEFINITELY: YOU WILL NEED TO HANDLE TWICE AS MUCH CRAP TODAY AS YOU DID 18 MONTHS AGO.” “EXPONENTIAL GROWTH WILL CONTINUE INDEFINITELY: YOU WILL NEED TO HANDLE TWICE AS MUCH CRAP TODAY AS YOU DID 18 MONTHS AGO.”
- 15. DON’T BECOME A DINOSAUR
- 16. Rust
- 17. Complexity
- 18. TWO COMPLEXITIES ▸Essential Complexity ▸intrinsic to the problem you are trying to solve ▸Accidental Complexity ▸caused by the approach you have chosen to solve that
- 19. STATE
- 21. FUNCTION AL
- 29. VIRTUALISATION
- 34. CLOU D
- 37. 2009 790 EB 2010 1.2 ZB 2020 35 ZB 2015 7.9 ZB http://www.csc.com Global Data
- 42. DEVCON 2015 TECH RADAR WHAT DEVOPS IS NOT ▸It’s not a tool ▸It’s not a methodology ▸“Giving developers the root password” ▸A separate role or team
- 43. DEVELOPMENT ▸“Move fast and break things.” ▸Iterations: from 2 weeks down to continuous ▸“It works on my machine!” ▸Security? OPERATIONS ▸“Don’t fix it if it ain’t broke. ▸Procurement: from 2 weeks up to 4 months ▸Dev ≠ Test ≠ Staging ≠ Production ▸Security!
- 45. DEVCON 2015 TECH RADAR DEVOPS ▸It’s a culture ▸Breaking down silos ▸Exemplified by: ▸Continuous Integration / Continuous Delivery ▸With an eye on: ▸Scalability, Reliability, Security
- 55. DEVCON 2015 TECH RADAR DEMYSTIFYING DOCKER ▸What Docker is NOT ▸Not just lightweight VMs ▸Not another configuration management tool ▸Not a silver bullet
- 72. “The biggest single benefit of Docker is the extent that it’s empowered the team to build services from scratch. We no longer have a complex set of provisioning scripts or AMIs—we just hand the production cluster an image, and it runs. There’s no more stateful instances, and we’re guaranteed to run the same exact code on both staging and prod.” http://highscalability.com/blog/2015/10/19/se gment-rebuilding-our-infrastructure-with- docker-ecs-and-te.html DEVCON 2015 TECH RADAR
- 74. MICROSER
- 76. CLOU D
- 77. Automated Infrastructure (IaaS, Baremetal) Cloud Native Container Service (Kubernetes, Mesos, Swarm) Cloud Native Apps (Domain Specific Use Cases) Big Data & Batch Data Services Cache, DB Infra Services Logging, Monitoring PaaS Microservices, Lambda, Tasks CI/CD THE NEW STACK
Editor's Notes
- Mutable state isn't evil. It's necessary in the real world. It's just that stateful actions don't compose well, especially when you involve concurrency or Big Code problems. Good programmers learn that they need to manage (not eliminate) mutable state. That's what FP is about.
- Clojure, for example, powers Akamai, the massive content delivery network utilized by companies such as Facebook, while Twitter famously adopted Scala for its most performance-intensive components, and Haskell is used by AT&T for its network security systems.
- Clojure, for example, powers Akamai, the massive content delivery network utilized by companies such as Facebook, while Twitter famously adopted Scala for its most performance-intensive components, and Haskell is used by AT&T for its network security systems. http://www.smashingmagazine.com/2014/07/dont-be-scared-of-functional-programming/
- In 2010, Google’s CEO Eric Schmidt estimated that *every two days* we create as much data as we did from the dawn of civilization up until 2003—about 5 *exabytes* (or five thousand petabytes).
- “Many people seem to think we are promoting a world where developers and system administrators all just run wild on the production systems and that it will somehow work out for the best.”
- "How to automate to make this more efficient, how do we push code to different environments 400 to 500 times per week…”
- “Many people seem to think we are promoting a world where developers and system administrators all just run wild on the production systems and that it will somehow work out for the best.”
- Registry: Fully 25% of companies running Docker are using Registry, presumably instead of Docker Hub. NGINX: Docker is being used to contain a lot of HTTP servers, it seems. It is interesting that Apache (httpd) didn’t make the top 10. Redis: This popular in-memory key/value data store is often used as an in-memory database, message queue, or cache. Ubuntu: Still the default to build images. Logspout: For collecting logs from all containers on a host, and routing them to wherever they need to go. MongoDB: The widely-used NoSQL datastore. Elasticsearch: Full text search. CAdvisor: Used by Kubernetes to collect metrics from containers. MySQL: The most widely used open source database in the world. Postgres: The second-most widely used open source database in the world. Adding the Postgres and MySQL numbers, it appears that using Docker to run relational databases is surprisingly common.