@jkowall #UXDS2017

Microservices the modern IT stack:Trends of tomorrow

Jonah Kowall, VP Market Development and InsightsTwitter: @jkowall

@jkowall #UXDS2017APPDYNAMICS CONFIDENTIAL AND PROPRIETARY 2

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As of last Tuesday night...

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Digital agility

The future of business will be defined by how well companies, organizations and governments use technology to engage with partners and customers across a wide range of digitalized processes.

...organizations must also confront the need to change themselves. Organizational changes, cultural changes, and shifts in the very nature of their business will present the stiffest challenges.

http://gtnr.it/2fxuWnk

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Future corporate goals: Scalable revenue

• “Gartner predicts that by 2018, 25 percent of new mobile apps will talk to IoT devices”

• As new technologies grow in importance as a way to control and interact with things, app interfaces will fade

http://gtnr.it/2eFhiRq

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New interfaces require connectivity and performance

• Is this irritating or unusable to you?

What’s on my calendar today?

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Technology influences cultureYour vendors believe this to be the case

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Really, culture influences technology

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Centralized versus Decentralized

DevOps creates grassroots empowerment• Small 1 or 2 pizza teams own a product• Everyone makes decisions• Everyone is accountable for full lifecycle• Agile Dev and Ops

Technology has very little to do with DevOps aside from open and integration points

Vendors will be happy to sell you 100 units of DevOps

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Conway’s Law:Organizations which design systems... are constrained to produce designs which are copies of the communication structures of these organizations.

— M. Conway

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But… He worked on MUMPS

• MUMPS (Massachusetts General Hospital Utility Multi-Programming System) - Late 1968

• Now called Intersystems Cache

• Core of Epic EHR which makes $2b in revenue, which still looks like it’s from 1990

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Monolithic organization

Courtesy of Martin Fowler: http://martinfowler.com/articles/microservices.html

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Agile organization

Courtesy of Martin Fowler: http://martinfowler.com/articles/microservices.html

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Microservices aren’t for everyone?That’s not what I’m reading on the internet

• Everything is not a Sheep (redis) for example my Dog (mysql)

• Centralized versus decentralized data federation is a major challenge

• Data rearchitecture is difficult • According to many without

this change you aren’t doing Microservices

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New data patterns

Courtesy of Martin Fowler: http://martinfowler.com/articles/microservices.html

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Team technology choice

• Can use any technology in services since they are short lived and easily rewritten

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Microservices are at peak hype

• Doesn’t mean this fits everyone

• Doesn’t solve people and process issues

• Culture is key

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Microservices or Miniservices?

Miniservices = refactored SOA, driven by composition and reuseMicroservices = web-scale SOA, driven by agility and scalability

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Managing service based apps

• Blinders come on, focus is on me and my team• Each team owns the lifecycle of a service• Each team picks tools which work best for them• Not consistent across teams• Creates challenges in problem isolation when it traverses a service boundary

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Managing end user experience in service based apps

• Gathering end user experience metrics in isolation causes issues with connection to backend.

• Many organizations build another team for this to handle the siloed nature of the DevOps teams which are service aligned

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Deploying service based apps

• All the hype just like Hypervizor was, but it doesn’t matter in the long run

• Containers easier to automate and orchestrate, orchestration is the key addition

• Tend to be stateless or immutable in order to orchestrate

• Orchestration is the key difference between these technologies

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Scaling service based apps

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Future of computing

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Docker and Cloud State of the Cloud: DevOps Trends Report 2016

http://bit.ly/2fLauVi

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Hybrid Orchestration • Create containers with apps/code (generated from build system)

• Use infrastructure as code to manage the containers and provisioning in a cloud agnostic manner (Terraform)

• Terraform can deploy on any infrastructure in an agnostic manner

• Kubernetes or Swam can be provisioned and orchestration automated

Next level systems will have to manage across boundaries, alternately your PaaS can do this for you. They must be fed with better data from monitoring tools…

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Edge Computing: Impact, barriers

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Fragmented device support

Interoperability, data security

Reliance on cloud

Analyze or go blind

COMPLEXITY

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IoT Silos

• All of these new IoT technologies and projects have dependencies on existing systems…and the cloud

• Problem isolation just got even harder

620 professionals involved with IOT within their respective organizations

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Solutions for tomorrow

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Information overload ^ 2

Each layer has a tool, which generates too much data

50 VMs

500 Containers

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Graphs and dashboards don’t scale

Analytics?

Who’s doing the analysis?

You are!

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At the brink of AI

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Algorithmic AI Operations (AIOps)

• Rebranding of ITOA with actual analytics

• Pairing automation with data and algorithms

• Coupling service management with monitoring and automation

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Thank you