ElasticSearch on AWS

Enterprises trying to deploy infrastructure to the cloud and independent software companies trying to deliver a service have similar problems to solve. They need to know how to create an environment in AWS that enforces least-privilege access between components while also allowing administration and change management. Amazon Elastic Cloud Compute (EC2) and Identity and Access Management (IAM), coupled with services like AWS Security Token Service (STS), offer the necessary building blocks. In this session, we walk through some of the mechanisms available to control access in an Amazon Virtual Private Cloud (VPC). Next, we focus on using IAM and STS to create a least-privilege access model. Finally, we discuss auditing strategies to catch common mistakes and discuss techniques to audit and maintain your infrastructure.

ElasticSearch on AWS: Continuously Deployed, Immutable and Stateful

Internet

About me
● Philipp Garbe (@pgarbe)
● Husband
● Father
● AutoScout24
● Former Microsoft-Fanboy
● Now Docker-Fanboy ;)

● Use case: Logging for AS24
● Challenge: How to handle the state?
○ Immutable
○ Continuously Deployed
○ Stateful
● Next challenges
What to expect

STRATEGIC
GOALS
Goals of the business side
ARCHITECTURAL
PRINCIPLES
High-Level Principles
DESIGN AND DELIVERY
PRINCIPLES
Tactical measures
REDUCE TIME TO MARKET
Speed, Fast Feedback
COST EFFICIENCY
Collect metrics to allow decisions cost vs. value.
SUPPORT DATA-DRIVEN DECISIONS
Listen to users and validate hypothesis.
Provide as many relevant metrics & data as possible.
YOU BUILT IT, YOU RUN IT
The team is responsible for shaping, building, running and
maintaining its products. Fast feedback from live and
customers helps us to continuously improve.
ORGANIZED AROUND BUSINESS CAPABILITIES
Build teams around products not projects. Follow the
domain and respect bounded contexts. Inverse Conway
Maneuver.
LOOSELY COUPLED
By default avoid sharing and tight coupling, except for the
big things in common. Don’t create the next monolith.
MACRO AND MICRO ARCHITECTURE
Clear separation. Autonomous micro services within the
rules and constraints of the macro architecture.
AWS FIRST
Favor AWS platform service over managed service, over
self-hosted OSS, over self-rolled solutions.
DATA-DRIVEN / METRIC-DRIVEN
Collect metrics from processes and applications. Analyze,
alert and act on them.
ELIMINATE ACCIDENTAL COMPLEXITY
Strive to keep it simple. Focus on essential complexity.
You build one, you delete one.
AUTONOMOUS TEAMS
Make fast local decisions. Be responsible. Know your
boundaries. Share findings.
INFRASTRUCTURE AS CODE
Automate everything: Reproducible, traceable and tested.
Immutable servers over snowflake servers.
COLLABORATION CULTURE
Engineers from all backgrounds work together in
collaborative teams as engineers and share
responsibilities. No silos.
BE BOLD
Go into production early. Value monitoring over tests.
Recover and learn. Optimize for MTTR not MTBF.
SECURITY, COMPLIANCE AND DATA PRIVACY
Security must be included from the beginning and
everybody’s concern. Keep data-privacy in mind.
CONTAINMENT AND BOUNDARIES
Align blast radius and vendor lock-in with the boundaries
of the organization or business capabilities.
Version 1.0
Icons made by Freepik from www.flaticon.com are licensed under CC BY 3.0
https://github.com/autoscout24/scout24-it-principles

INFRASTRUCTURE AS CODE
Automate everything: Reproducible, traceable and tested.
Immutable servers over snowflake servers.

Some numbers
12 nodes (m4.4xlarge, EBS gp2 á 2000 GB)
9 indices (one per day)
648 shards
7 Billion docs (new documents peak: 2,500 docs / sec)
16.99 TB of data

Immutable Servers
Rake
CloudFormation
ElasticSearch configuration

Continuously Deployed
● One CloudFormation stack per node
● Rolling updates through rake
● Every commit goes to production

Monitoring
● CloudWatch
○ Cron-Lambda sends /_cluster/health metrics to CloudWatch
○ CloudWatch alarms based on these metrics
● DataDog
○ Deep Dive

Next challenges
No AvailabilityZone awareness

Next challenges
Long-running deployments (2-8h)

?Questions
Philipp Garbe
http://garbe.io
@pgarbe
https://github.com/pgarbe

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Monitoring and making sense of infrastructure data can be an arduous process. Managing a volume of API calls from more than one million active users every minute presents an even more complex and demanding challenge. Using Amazon Web Services (AWS) and Datadog, Grindr overcame a series of infrastructure challenges by both implementing and managing highly scalable, high availability, and top performing infrastructure, as well as aggregating, analyzing, and acting on key infrastructure data KPIs.

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Building high volume software factories is all about combining workflow and automation functionality to ensure that each application development team is able to repeatedly deliver secure, high quality, feature rich iterations and operate them on scalable, highly available cloud infrastructure. Attendees will learn how GitLab and Amazon Web Services (AWS) integrate together to provide best of breed development workflows and rock solid cloud application infrastructure. Overview: Hard lessons for CI / CD from how Ford automated automobile manufacturing. GitLab CI / CD is a factory toolkit for software manufacturing. GitLab CI/CD accelerates time to automation maturity with premade assembly lines and components. GitLab CI/CD accelerates AppSec (DevSecOps) time to maturity with premade Security assembly lines. How to have a tortured transformation to software manufacturing. GitLab rich CI / CD workflows ensure cross-team (Dev, Ops, Sec) collaborative engagement and compliance with change gating controls with auditability. GitLab CI / CD integrates with AWS infrastructure with multiple possible points of integration.

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Choice Hotels is undertaking a multiyear, $20 million project to recreate our core business engines on AWS. In trying to approach this complex undertaking, we determined that the project itself is a system too. You can apply principles of good architecture and design work in how you approach the project structure and management. Come to this talk by Choice Hotels’ CTO to learn five key lessons and 20 concrete takeaways that you can implement today to help your AWS projects succeed.

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Dev, Ops, DevOps, Platform Teams – and everybody has it’s own interpretation. But what is meant by platform engineering, actually? What’s the difference to ops? And isn’t that contradictionary to DevOps? In this talk, Philipp shows Scout24’s journey from separate dev and ops departments to platform teams and the steps in-between. You’ll see how the organisation changed and why this was necessary. On some real-world examples he explains how the platform teams now uses AWS and Docker to enable the feature teams to become faster and more productive.

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With ECS, AWS offers a managed container service that states to schedule containers based on resource needs, isolation policies and availability requirements. Sounds good, but is it really that easy? In this talk, Philipp gives insights how Scout24 uses ECS to improve their developer experience. Learn, what needs to be done to make ECS production ready, which tweaks are useful and how changes can be delivered continuously. Let yourself be surprised by a a better solution to scale your cluster effectively and save some money. Also, find out, how CloudFormation can be leveraged to free teams from the burden of running their own cluster while keeping a “You build it, you run it” culture.

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