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T o m e r G a b e l
Kraków, 15-17 May 2019
//
The Pleasure
of On-Prem
T o m e r G a b e l
Tel Aviv, 24-25 Nov 2021
//
What’s all this, then?
• “On-premise”
• Used to be taken literally: “at the customer’s location”
• This is no longer relevant
• Most customers don’t own their own data center
• Most customers don’t own their own hardware
• Most customers don’t even lease long-term
• Customers are likely running “on someone else’s prem”
• A more useful interpretation:
• “Running on hardware outside of my control”
Let’s get it out in the open…
• On-prem is a swear-word these days
• For good reasons!
• Are they, though?
• It’s 2021
• Much has changed
• And I’ve recently wrapped a 6-month on-prem project
• Let me tell you all about it!
Who or what am I?
• Freelance software engineer
• Been around for way too long
• From the stone-age…
• … to the silicon-age…
• … to whatever-age
• Up and down the stack
• For a bunch of companies
you’ve heard of
• Can we move on, please?
Yeah. So, on-prem
Why is it hard?
SaaS On-Prem
Release process Simple Complex
Direct control Full, in-house Limited, involving 3rd parties
Concurrently-deployed versions Small, finite set Potentially many
Staff In-house and cooperative 3rd party
Why do this to yourself?
• We all love SaaS
• It’s the future, they said
• They were right
• But in some cases, it’s just not an option
• Regulatory concerns (e.g. medical information)
• Security considerations (e.g. critical infrastructure)
• Physical constraints (e.g. no internet connectivity)
• And sometimes, it’s not relevant
• When you actually sell infrastructure
• When your customers simply won’t buy SaaS
On-prem, Evolved
On the shoulders of giants
• SaaS was a radical new paradigm 20 years ago
• New tools evolved to support the ecosystem
• Can we leverage these tools on-prem?
Hypervisors Deploy heterogenous software in isolation
Public cloud Programmable, elastic production hardware
Containers Simple software packaging and distribution
Container orchestrators Abstract execution environment
First, a dose of reality
• All on-prem projects
aren’t created equal
• What are your
constraints?
• Data persistence/retention Your network
On-prem
Your
system
Licensing Integrations Telemetry
Persistent
Storage?
First, a dose of reality
• All on-prem projects
aren’t created equal
• What are your
constraints?
• Data persistence/retention
• Cluster vs single host
Your network
On-prem
Your
system
You?
You?
You?
Licensing Integrations Telemetry
First, a dose of reality
• All on-prem projects
aren’t created equal
• What are your
constraints?
• Data persistence/retention
• Cluster vs single host
• Cloud vs colo
Your network
VPC
Your
system
Licensing Integrations Telemetry
Cloud Provider
Storage
Identity
Messaging
DB
First, a dose of reality
• All on-prem projects
aren’t created equal
• What are your
constraints?
• Data persistence/retention
• Cluster vs single host
• Cloud vs colo
• Networking
Your network
On-prem
Your
system
Licensing Integrations Telemetry
Persistent
Storage
Let’s talk tooling
Docker
• It’s a godsend
• Yeah, I know. Issues and nitpicks
• BUT!
• Consistent packaging
• Consistent artifact hosting
• Consistent operational model
• Composes well
• Reusable in all scenarios
docker-compose
• Multiple components, single host
• Lightweight orchestration
• Dead-simple
• Doesn’t get enough credit!
• Composes really well with…
Virtual Machine Images
• VMs are awesome:
• Self-contained package
• Consistent platform (-ish)
• Consistent deployment model
• Supported everywhere
• Private/public cloud
• Publish as VM image with
marketplace offerings
Container orchestration
• If you have to run on multiple hosts…
• My condolences
• It’s going to be hard
• Kubernetes/Nomad can help
• Especially if utilizing EKS/AKS/GKE
• But it’s a huge subject deserving of
its own talk
Public cloud FTW
• Do your customers run on AWS, Azure, GCP et al?
• Awesome! You get loads built-in
• Delivery mechanism (VMs)
• Secure integration with customer resources (data stores etc.)
• Reduced operational burden via available services
• SLA and regulatory guarantees that are not your problem
• Customer buy-in ahead of time!
Monitoring
• SaaS observability tools
• Great if you can use them!
• Trusted 3rd party services
• Secure and auditable access
• Low operational burden
• Predictable OpEx
• A much easier sell!
Going oldschool
• If you can’t ”call home”…
• Log shipping is the only way to go
• Experience makes for good logs
• No silver bullet. Sorry!
• Some mitigations
• If on cloud, object store +
temporary ACLs may help
• Zoom/Meet/etc. “remote control”
features are amazing
Case study
Product X
• Unfortunately defunct
• But that means I can
talk about it!
• A multi-component
production system
• Python 3.9 (uwsgi+flask,
apscheduler)
• Redis cache
• PostreSQL
• Front-end static bundle
• External integration points
Constraints
Customers running on public cloud (initially AWS, Azure)
Completely isolated: no inbound or outbound traffic
Deployment owned by a business analyst team
• Very limited technical knowhow
• Uncooperative ops department
01
02
03
Choices
Single host (to start with)
docker-compose
• Lightweight and works
• Easy to instruct on operation
• Reusable for testing
VM image published on marketplace
Utilizes cloud RDBMS, blob store
Packer targeting CentOS 7.9
01
02
03
04
05
Conclusions
• The tools that enable SaaS are a boon for on-prem
• Public clouds make for compelling on-prem targets
• VMs and Docker make on-prem deployment almost
painless
• In summary…
• On-prem isn’t what it used to be
• Still harder than SaaS…
• … but quite pleasant, actually!
tomer@substrate.co.il
@tomerg
https://github.com/holograph
Thank you for listening
Questions?

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THE PLEASURES OF ON-PREM, TOMER GABEL

  • 1. T o m e r G a b e l Kraków, 15-17 May 2019 // The Pleasure of On-Prem T o m e r G a b e l Tel Aviv, 24-25 Nov 2021 //
  • 2. What’s all this, then? • “On-premise” • Used to be taken literally: “at the customer’s location” • This is no longer relevant • Most customers don’t own their own data center • Most customers don’t own their own hardware • Most customers don’t even lease long-term • Customers are likely running “on someone else’s prem” • A more useful interpretation: • “Running on hardware outside of my control”
  • 3. Let’s get it out in the open… • On-prem is a swear-word these days • For good reasons! • Are they, though? • It’s 2021 • Much has changed • And I’ve recently wrapped a 6-month on-prem project • Let me tell you all about it!
  • 4. Who or what am I? • Freelance software engineer • Been around for way too long • From the stone-age… • … to the silicon-age… • … to whatever-age • Up and down the stack • For a bunch of companies you’ve heard of • Can we move on, please?
  • 6. Why is it hard? SaaS On-Prem Release process Simple Complex Direct control Full, in-house Limited, involving 3rd parties Concurrently-deployed versions Small, finite set Potentially many Staff In-house and cooperative 3rd party
  • 7. Why do this to yourself? • We all love SaaS • It’s the future, they said • They were right • But in some cases, it’s just not an option • Regulatory concerns (e.g. medical information) • Security considerations (e.g. critical infrastructure) • Physical constraints (e.g. no internet connectivity) • And sometimes, it’s not relevant • When you actually sell infrastructure • When your customers simply won’t buy SaaS
  • 9. On the shoulders of giants • SaaS was a radical new paradigm 20 years ago • New tools evolved to support the ecosystem • Can we leverage these tools on-prem? Hypervisors Deploy heterogenous software in isolation Public cloud Programmable, elastic production hardware Containers Simple software packaging and distribution Container orchestrators Abstract execution environment
  • 10. First, a dose of reality • All on-prem projects aren’t created equal • What are your constraints? • Data persistence/retention Your network On-prem Your system Licensing Integrations Telemetry Persistent Storage?
  • 11. First, a dose of reality • All on-prem projects aren’t created equal • What are your constraints? • Data persistence/retention • Cluster vs single host Your network On-prem Your system You? You? You? Licensing Integrations Telemetry
  • 12. First, a dose of reality • All on-prem projects aren’t created equal • What are your constraints? • Data persistence/retention • Cluster vs single host • Cloud vs colo Your network VPC Your system Licensing Integrations Telemetry Cloud Provider Storage Identity Messaging DB
  • 13. First, a dose of reality • All on-prem projects aren’t created equal • What are your constraints? • Data persistence/retention • Cluster vs single host • Cloud vs colo • Networking Your network On-prem Your system Licensing Integrations Telemetry Persistent Storage
  • 15. Docker • It’s a godsend • Yeah, I know. Issues and nitpicks • BUT! • Consistent packaging • Consistent artifact hosting • Consistent operational model • Composes well • Reusable in all scenarios
  • 16. docker-compose • Multiple components, single host • Lightweight orchestration • Dead-simple • Doesn’t get enough credit! • Composes really well with…
  • 17. Virtual Machine Images • VMs are awesome: • Self-contained package • Consistent platform (-ish) • Consistent deployment model • Supported everywhere • Private/public cloud • Publish as VM image with marketplace offerings
  • 18. Container orchestration • If you have to run on multiple hosts… • My condolences • It’s going to be hard • Kubernetes/Nomad can help • Especially if utilizing EKS/AKS/GKE • But it’s a huge subject deserving of its own talk
  • 19. Public cloud FTW • Do your customers run on AWS, Azure, GCP et al? • Awesome! You get loads built-in • Delivery mechanism (VMs) • Secure integration with customer resources (data stores etc.) • Reduced operational burden via available services • SLA and regulatory guarantees that are not your problem • Customer buy-in ahead of time!
  • 20. Monitoring • SaaS observability tools • Great if you can use them! • Trusted 3rd party services • Secure and auditable access • Low operational burden • Predictable OpEx • A much easier sell!
  • 21. Going oldschool • If you can’t ”call home”… • Log shipping is the only way to go • Experience makes for good logs • No silver bullet. Sorry! • Some mitigations • If on cloud, object store + temporary ACLs may help • Zoom/Meet/etc. “remote control” features are amazing
  • 23. Product X • Unfortunately defunct • But that means I can talk about it! • A multi-component production system • Python 3.9 (uwsgi+flask, apscheduler) • Redis cache • PostreSQL • Front-end static bundle • External integration points
  • 24. Constraints Customers running on public cloud (initially AWS, Azure) Completely isolated: no inbound or outbound traffic Deployment owned by a business analyst team • Very limited technical knowhow • Uncooperative ops department 01 02 03
  • 25. Choices Single host (to start with) docker-compose • Lightweight and works • Easy to instruct on operation • Reusable for testing VM image published on marketplace Utilizes cloud RDBMS, blob store Packer targeting CentOS 7.9 01 02 03 04 05
  • 26. Conclusions • The tools that enable SaaS are a boon for on-prem • Public clouds make for compelling on-prem targets • VMs and Docker make on-prem deployment almost painless • In summary… • On-prem isn’t what it used to be • Still harder than SaaS… • … but quite pleasant, actually!