Why puppet? Why now?

Apr 13, 20150 likes743 views

Why Puppet? Why now? Can you get by without using any config management? You probably think don't have time, or that your project is too small. What can using Puppet really add? How can you justify investing time up front? Maybe you can just do it later? Getting started with config management can often seem like a big project, especially if you only manage a few systems or have a small team. This talk will examine why you should use Puppet from the beginning. It will examine what you can do with Puppet that couldn't do otherwise, how much time it will save and why it's especially important if you think your project has even the smallest chance of scaling in the future. Presented by David Mytton at Puppet Camp London 2015-04-13

Why Puppet? Why now?
Puppet Camp, London 2015
David Mytton, CEO, Server Density

Agenda
• Objection handling
• Cloud
• Use cases
• Basics - why Puppet?

Why conﬁg management?
• Similar: why source control?

Why conﬁg management?
• Infrastructure as code
• Similar: why source control?

Why conﬁg management?
• Infrastructure as code
• Versioned infrastructure
• Similar: why source control?

Why conﬁg management?
• Infrastructure as code
• Versioned infrastructure
• Consistency
• Similar: why source control?

Why conﬁg management?
• Infrastructure as code
• Versioned infrastructure
• Consistency
• Similar: why source control?
• Readability

Why conﬁg management?
• Infrastructure as code
• Versioned infrastructure
• Consistency
• Similar: why source control?
• Readability
• Audits

Use cases
• Versions (pinning)
• Package deployment

Use cases
• Versions (pinning)
• Conﬁg ﬁles / templates
• Package deployment

Use cases
• Versions (pinning)
• Conﬁg ﬁles / templates
• Tweaks, ﬁxes, patches
• Package deployment

Why Puppet?
• PuppetDB: Your infrastructure in a database

Why Puppet?
• Hiera: Your conﬁg in a database
• PuppetDB: Your infrastructure in a database

Why Puppet?
• Hiera: Your conﬁg in a database
• Facter: Your infrastructure analytics
• PuppetDB: Your infrastructure in a database

Why Puppet?
• Hiera: Your conﬁg in a database
• Facter: Your infrastructure analytics
• Forge: Open source your infrastructure
• PuppetDB: Your infrastructure in a database

Objection handling
• I only have a few servers

Objection handling
• Do you plan to grow?
• I only have a few servers

Objection handling
• Do you plan to grow?
• I only have a few servers
• Do you want a consistent environment?

Objection handling
• Do you plan to grow?
• I only have a few servers
• Do you want a consistent environment?
• Destroy/redeploy

Objection handling
• Initial investment
• It’s too complex

Objection handling
• Initial investment
• It’s too complex
• Saves time with changes later

Objection handling
• Initial investment
• It’s too complex
• Saves time with changes later
• Similar: programming libraries -> Forge

Objection handling
• I’ll just SSH manually

Objection handling
• Mistakes
• I’ll just SSH manually

Objection handling
• Mistakes
• I’ll just SSH manually
• Security

Objection handling
• Mistakes
• I’ll just SSH manually
• Security
• Audit

Objection handling
• I’ll write a few shell scripts

Objection handling
• Scale
• I’ll write a few shell scripts

Objection handling
• Scale
• I’ll write a few shell scripts
• Idempotency

Objection handling
• Scale
• I’ll write a few shell scripts
• Idempotency
• Version control?

Cloud
• Re-deploy around failures
• Consistency across many instances

Cloud
• Re-deploy around failures
• Consistency across many instances
• Managing large clusters

Cloud
• Re-deploy around failures
• Consistency across many instances
• Managing large clusters
• Querying facts

ありがとうございます
david@serverdensity.com
@davidmytton

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Handling incidentsServer Density

The document discusses how to handle incidents, downtime, and outages. It notes that the cost of downtime for companies in Q1 2015 was $2.9 billion, $870 million, and $4.1 billion. It recommends preparing for incidents by having on-call staff and documentation, responding quickly by following an incident response checklist and notifying stakeholders, and performing a postmortem within days to analyze what failed and how to prevent future issues.

Scaling humans - Ops teams and incident managementServer Density

The document discusses the costs of downtime for companies and best practices for incident management teams to prepare for, respond to, and review incidents to minimize downtime costs. It notes that downtime costs companies billions per quarter and recommends teams prepare documentation and contact information, have on-call rotation schedules, log all responses to incidents, provide frequent status updates, gather teams to escalate incidents as needed, and conduct post-mortem reviews within days of an incident.

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Containers seem to have suddenly become the hot new thing everyone is talking about, but what are they? Why are they important? How should you use them and what does it mean for cloud infrastructure? This talk will examine the history, technical details and strategy around containerisation from the perspective of developers and operations, consider internal container OSs like Rocket and Ubuntu Core as well as management layers like Docker and Apache Mesos and take a look at why cloud providers are launching their own services around them. Presented by David Mytton at Datacloud Monaco 2015-06-04

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This document discusses the differences between cloud, colocation, and bare metal infrastructure options. It covers key considerations for performance including CPU, memory, disk, and network latency and bandwidth. Colocation provides hardware at a specific location while maintaining internal skills, but has costs for total spend, hardware specifications, and power usage. Cloud infrastructure offers elastic workloads and support for demand spikes and unknown requirements, but bare metal is preferable for managed hardware replacement and networking needs. Overall, the best option depends on an organization's specific workload characteristics and skills.

Navigating the customer lifecycleServer Density

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How to monitor NGINXServer Density

How to monitor MongoDBServer Density

David Mytton is a MongoDB master and the founder of Server Density. In this presentation David delves deeper into what's discussed in our how to monitor MongoDB tutorial (https://blog.serverdensity.com/monitor-mongodb/), with the aim of taking you through: Key MongoDB metrics to monitor. Non-critical MongoDB metrics to monitor. Alerts to set for MongoDB on production. Tools for monitoring MongoDB.

High performance Infrastructure Oct 2013Server Density

The document discusses high performance infrastructure for Server Density which includes 150 servers that have been running since June 2009 and migrated from MySQL to MongoDB. It stores 25TB of data per month. Key aspects of performance discussed are using fast networks like 10 Gigabit Ethernet on AWS, ensuring high memory, using SSDs over spinning disks for performance, and factors like replication lag based on location. The document also compares options like using cloud, dedicated servers, or colocation and discusses monitoring, backups, dealing with outages, and other operational aspects.

Puppet at the centre of everythingServer Density

The document discusses Server Density's architecture which includes 100 Ubuntu servers with 50% being virtual, using Nginx, Python, and MongoDB. It handles 25TB of data per month. Puppet is used for configuration, failover, code deploys, and system updates. The document also considers colocating servers versus using a dedicated provider and factors like hardware specs, costs, skills required, and fun.

NoSQL Infrastructure - Late 2013Server Density

NoSQL databases are often touted for their performance and whilst it's true that they usually offer great performance out of the box, it still really depends on how you deploy your infrastructure. Dedicated vs cloud? In memory vs on disk? Spindal vs SSD? Replication lag. Multi data centre deployment. This talk considers all the infrastructure requirements of a successful high performance infrastructure with hints and tips that can be applied to any NoSQL technology. It includes things like OS tweaks, disk benchmarks, replication, monitoring and backups.

Remote startup - building a company from everywhere in the worldServer Density

This document discusses how Server Density grew from 2 employees in 2009 to 12 employees in 2013 while being fully remote. It outlines the company's timeline and some advantages of being fully remote such as access to worldwide talent, lower costs, and no distractions of an office. However, it also notes disadvantages like collaboration being more difficult without in-person interactions. While the company added an office in 2012, the document emphasizes that working remotely is a mindset that is difficult to adopt after initially co-locating. Effective communication and availability are important for fully distributed teams.

NoSQL InfrastructureServer Density

This document discusses MongoDB infrastructure at Server Density. It notes that Server Density uses 27 MongoDB nodes to store 20TB of data per month from their MySQL database. Some key reasons for choosing MongoDB include replication, official drivers, easy deployment, and fast performance out of the box. The document then discusses various MongoDB performance and infrastructure considerations like network throughput, replication lag, failover processes, disk types, backups, and monitoring.

StartOps: Growing an ops team from 1 founderServer Density

Bootstrapped startups don't have the luxury of a full team of ops engineers available to respond to issues 24/7, so how can you survive on your own? This talk will tell the story of how to run your infrastructure as a single founder through to growing that into a team of on call engineers. It will include some interesting war stories as well as tips and suggestions for how to run ops at a startup. Presented at DevOpsDays London 2013 by David Mytton.

MongoDB: Optimising for Performance, Scale & AnalyticsServer Density

MongoDB is easy to download and run locally but requires some thought and further understanding when deploying to production. At scale, schema design, indexes and query patterns really matter. So does data structure on disk, sharding, replication and data centre awareness. This talk will examine these factors in the context of analytics, and more generally, to help you optimise MongoDB for any scale. Presented at MongoDB Days London 2013 by David Mytton.

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