~/conference

Rootconf 2015

Rootconf: Conference on devops and infrastructure automation in Bangalore, India

site reliability engineers, devops engineers, system administrators, platform engineers, software developers, security engineers, network engineers

http2 primer; unikernel deployments; kafka log aggregation and monitoring; distributed file system scaling; container runtime environments; data driven monitoring and time-series; network switch automation; security breach postmortems; microservices architecture; capacity planning and resource management; refactoring for scale; team dynamics and incident response

titleauthorlength
Rewriting Parse.com for scaleAbhishek Kona48m
Parse.com is a BaaS used by 300K apps and traffic grows by 10x per year so the team rewrites a Ruby monolith into Go and measures 5–7x faster in Go. Deploy…
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Introduction toMike Place58m
SaltStack claims fast, scalable control: a master/minion model that handles remote execution across 100 minions in ~0.26–0.27s and manages tens of thousands of…
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Moving Intuit Mint to AWS – the last mileSajan Tharayil32m
Moves Mint from self-hosted datacenters to AWS, migrating ~70 TB of customer financial data for 22 million users and building encryption at three layers…
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Why favour Icinga overBernd Erk46m
Claims a forked rewrite that actually scales: Icinga 2 is multi threaded, runs checks across zones with SSL, and benchmarks running 1 million services (dummy…
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Let’s Talk About Time - Data Driven Organic MonitoringDhananjay Sathe27m
An internal platform called Slant ingests immutable event streams into Elasticsearch via an async pipeline and exposes a REST API; it models incidents as a…
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security breach - lessons learnedAditya Patawari19m
BrowserStack got breached and the team publishes a white paper detailing what went wrong and what fixed it. The useful specifics are multi‑location monitoring…
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How to scale a distributed (file) systemAtin Mukherjee47m
Claim: avoid n×n config gossip by delegating coordination to a small leader set m (recommendation: m = 3 or 5, i.e. m << n), run a consensus-backed config…
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Unikernel based deploymentsAlok Singh17m
Claim: unikernels (MirageOS and peers) shrink images to megabytes or kilobytes, raise density and cut attack surface while exposing tricky resource-isolation…
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A quick primer on http2Cyrus Dasadia20m
HTTP/2 replaces text with binary frames and multiplexes many streams over a single TCP connection so handshakes and connection overhead disappear; the RFC…
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How LinkedIn is leveraging kafka for log aggregation and monitoringMuzammil Rehman45m
Apache Kafka is publish-subscribe messaging rethought as a distributed commit log. It is used within LinkedIn for metrics and intra-application queuing. Will…
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Building micro services withShanker Balan48m
Demo shows a real stack: Docker + RancherOS + Rancher with Docker Compose, private registry support and snapshots to S3, and the UI actually deploys…
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Managing a Network Switch withAbhinav Modi20m
Concrete workflow and result: Nexus switches expose a NX API sandbox (RESTlike JSON RPC) so automation uses HTTP/HTTPS instead of installing Python on devices…
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Running your containers in a sane environmentAditya Patawari23m
Project Atomic provides a minimal, mostly immutable OS built from RHEL/Fedora RPMs with OSTree-based atomic upgrades and rollbacks, writable only at /var and…
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10 reason why you should prefer PostgreSQL toAnand Chitipothu44m
Claims ten concrete reasons to prefer PostgreSQL over MySQL and demonstrates them: MyISAM silently truncates values (ate the cake), InnoDB vs MyISAM storage…
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large scale with low techKiran Jonnalagadda25m
SaveTheInternet.in is a static page served from Heroku that lets users BCC a single inbox netneutralityindia@gmail.com and send mail themselves which scales…
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How to Train your Jenkin to Use Your Resources Effectively and Get More ValueManivannan Selvaraj14m
A legacy model issues one Jenkins VM per developer but only 20% of VMs are used and active instances sit idle for less than 25 minutes per day, wasting…
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What can DevOps learn from sports teamsMohit Thatte15m
Argues that DevOps is teamwork that speeds the business reliably and extracts concrete practices from sports: teams spend ~75% of time training so adopt…
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know thy infraSaurabh Hirani18m
A concrete tool named inframer collects and correlates node data from Chef, Nagios, VMware, AWS and Device42, built in two hackathons (48 hours) using Python…
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The Phantom of the DevOperaGaurav Gupta, Arun Jadhav46m
If deploying applications efficiently at scale is not challenging enough, technology organizations today are expected to cater to exponential growth and…
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