Adrian Cockcroft, profile picture
Uploaded byAdrian Cockcroft
PDF, PPTX9,666 views

Microservices the Good Bad and the Ugly

The document discusses microservices, highlighting their advantages and challenges, particularly in organizational alignment and technology management. It emphasizes the shift from monolithic applications to microservices for better scalability and deployment efficiency, while also addressing the complexities and new problems that arise. Key concepts include continuous delivery, containerization with Docker, and the importance of monitoring and managing deployments within diverse service architectures.

Embed presentation

Download as PDF, PPTX
1 / 105
2 / 105
3 / 105
4 / 105
5 / 105
6 / 105
7 / 105
8 / 105
9 / 105
10 / 105
11 / 105
12 / 105
13 / 105
14 / 105
15 / 105
16 / 105
17 / 105
18 / 105
19 / 105
20 / 105
21 / 105
22 / 105
23 / 105
24 / 105
25 / 105
26 / 105
27 / 105
28 / 105
29 / 105
30 / 105
31 / 105
32 / 105
33 / 105
34 / 105
35 / 105
36 / 105
37 / 105
38 / 105
39 / 105
40 / 105
41 / 105
42 / 105
43 / 105
44 / 105
45 / 105
46 / 105
47 / 105
48 / 105
49 / 105
50 / 105
51 / 105
52 / 105
53 / 105
54 / 105
55 / 105
56 / 105
57 / 105
58 / 105
59 / 105
60 / 105
61 / 105
62 / 105
63 / 105
64 / 105
65 / 105
66 / 105
67 / 105
68 / 105
69 / 105
70 / 105
71 / 105
72 / 105
73 / 105
74 / 105
75 / 105
76 / 105
77 / 105
78 / 105
79 / 105
80 / 105
81 / 105
82 / 105
83 / 105
84 / 105
85 / 105
86 / 105
87 / 105
88 / 105
89 / 105
90 / 105
91 / 105
92 / 105
93 / 105
94 / 105
95 / 105
96 / 105
97 / 105
98 / 105
99 / 105
100 / 105
101 / 105
102 / 105
103 / 105
104 / 105
105 / 105
Microservices The Good, Bad and Ugly Adrian Cockcroft @adrianco Technology Fellow - Battery Ventures June 2015
When microservices are good and when you don’t need them What new problems they bring
What does @adrianco do? @adrianco Technology Due Diligence on Deals Presentations at Conferences Presentations at Companies Technical Advice for Portfolio Companies Program Committee for Conferences Networking with Interesting PeopleTinkering with Technologies Maintain Relationship with Cloud Vendors
Key Goal of the CIO?
Key Goal of the CIO? Align IT with the business
Key Goal of the CIO? Align IT with the business Note: Netflix doesn’t have a CIO…
Key Goal of the CIO? Align IT with the business Note: Netflix doesn’t have a CIO… Product related IT is embedded in the business - totally aligned
Value Chain Mapping Simon Wardley http://blog.gardeviance.org/2014/11/how-to-get-to-strategy-in-ten-steps.html Related tools and training http://www.wardleymaps.com/
Value Chain Mapping Simon Wardley http://blog.gardeviance.org/2014/11/how-to-get-to-strategy-in-ten-steps.html Related tools and training http://www.wardleymaps.com/ Your unique product - Agile
Value Chain Mapping Simon Wardley http://blog.gardeviance.org/2014/11/how-to-get-to-strategy-in-ten-steps.html Related tools and training http://www.wardleymaps.com/ Your unique product - Agile Best of breed as a Service - Lean
Value Chain Mapping Simon Wardley http://blog.gardeviance.org/2014/11/how-to-get-to-strategy-in-ten-steps.html Related tools and training http://www.wardleymaps.com/ Your unique product - Agile Undifferentiated utility suppliers - 6sigma Best of breed as a Service - Lean
Product Development Processes
Assumption: Process prevents problems
Organizations build up slow complex “Scar tissue” processes
Observe Orient Decide Act Continuous Delivery
Observe Orient Decide Act Land grab opportunity Competitive Move Customer Pain Point Measure Customers Continuous Delivery
Observe Orient Decide Act Land grab opportunity Competitive Move Customer Pain Point INNOVATION Measure Customers Continuous Delivery
Observe Orient Decide Act Land grab opportunity Competitive Move Customer Pain Point Analysis Model Hypotheses INNOVATION Measure Customers Continuous Delivery
Observe Orient Decide Act Land grab opportunity Competitive Move Customer Pain Point Analysis Model Hypotheses BIG DATA INNOVATION Measure Customers Continuous Delivery
Observe Orient Decide Act Land grab opportunity Competitive Move Customer Pain Point Analysis JFDI Plan Response Share Plans Model Hypotheses BIG DATA INNOVATION Measure Customers Continuous Delivery
Observe Orient Decide Act Land grab opportunity Competitive Move Customer Pain Point Analysis JFDI Plan Response Share Plans Model Hypotheses BIG DATA INNOVATION CULTURE Measure Customers Continuous Delivery
Observe Orient Decide Act Land grab opportunity Competitive Move Customer Pain Point Analysis JFDI Plan Response Share Plans Incremental Features Automatic Deploy Launch AB Test Model Hypotheses BIG DATA INNOVATION CULTURE Measure Customers Continuous Delivery
Observe Orient Decide Act Land grab opportunity Competitive Move Customer Pain Point Analysis JFDI Plan Response Share Plans Incremental Features Automatic Deploy Launch AB Test Model Hypotheses BIG DATA INNOVATION CULTURE CLOUD Measure Customers Continuous Delivery
Observe Orient Decide Act Land grab opportunity Competitive Move Customer Pain Point Analysis JFDI Plan Response Share Plans Incremental Features Automatic Deploy Launch AB Test Model Hypotheses BIG DATA INNOVATION CULTURE CLOUD Measure Customers Continuous Delivery
Observe Orient Decide Act Land grab opportunity Competitive Move Customer Pain Point Analysis JFDI Plan Response Share Plans Incremental Features Automatic Deploy Launch AB Test Model Hypotheses BIG DATA INNOVATION CULTURE CLOUD Measure Customers Continuous Delivery
Breaking Down the SILOs
Breaking Down the SILOs QA DBA Sys Adm Net Adm SAN Adm DevUX Prod Mgr
Breaking Down the SILOs QA DBA Sys Adm Net Adm SAN Adm DevUX Prod Mgr Product Team Using Monolithic Delivery Product Team Using Monolithic Delivery
Breaking Down the SILOs QA DBA Sys Adm Net Adm SAN Adm DevUX Prod Mgr Product Team Using Microservices Product Team Using Monolithic Delivery Product Team Using Microservices Product Team Using Microservices Product Team Using Monolithic Delivery
Breaking Down the SILOs QA DBA Sys Adm Net Adm SAN Adm DevUX Prod Mgr Product Team Using Microservices Product Team Using Monolithic Delivery Platform TeamProduct Team Using Microservices Product Team Using Microservices Product Team Using Monolithic Delivery
Breaking Down the SILOs QA DBA Sys Adm Net Adm SAN Adm DevUX Prod Mgr Product Team Using Microservices Product Team Using Monolithic Delivery Platform Team A P I Product Team Using Microservices Product Team Using Microservices Product Team Using Monolithic Delivery
Breaking Down the SILOs QA DBA Sys Adm Net Adm SAN Adm DevUX Prod Mgr Product Team Using Microservices Product Team Using Monolithic Delivery Platform Team DevOps is a Re-Org! A P I Product Team Using Microservices Product Team Using Microservices Product Team Using Monolithic Delivery
Release Plan Developer Developer Developer Developer Developer QA Release Integration Ops Replace Old With New Release Monolithic service updates Works well with a small number of developers and a single language like php, java or ruby
Release Plan Developer Developer Developer Developer Developer QA Release Integration Ops Replace Old With New Release Bugs Monolithic service updates Works well with a small number of developers and a single language like php, java or ruby
Release Plan Developer Developer Developer Developer Developer QA Release Integration Ops Replace Old With New Release Bugs Bugs Monolithic service updates Works well with a small number of developers and a single language like php, java or ruby
Use monolithic apps for small teams, simple systems and when you must, to optimize for efficiency and latency
Developer Developer Developer Developer Developer Old Release Still Running Release Plan Release Plan Release Plan Release Plan Immutable microservice deployment scales, is faster with large teams and diverse platform components
Developer Developer Developer Developer Developer Old Release Still Running Release Plan Release Plan Release Plan Release Plan Deploy Feature to Production Deploy Feature to Production Deploy Feature to Production Deploy Feature to Production Immutable microservice deployment scales, is faster with large teams and diverse platform components
Developer Developer Developer Developer Developer Old Release Still Running Release Plan Release Plan Release Plan Release Plan Deploy Feature to Production Deploy Feature to Production Deploy Feature to Production Deploy Feature to Production Bugs Immutable microservice deployment scales, is faster with large teams and diverse platform components
Developer Developer Developer Developer Developer Old Release Still Running Release Plan Release Plan Release Plan Release Plan Deploy Feature to Production Deploy Feature to Production Deploy Feature to Production Deploy Feature to Production Bugs Deploy Feature to Production Immutable microservice deployment scales, is faster with large teams and diverse platform components
Configure Configure Developer Developer Developer Release Plan Release Plan Release Plan Deploy Standardized Services Standardized portable container deployment saves time and effort https://hub.docker.com
Configure Configure Developer Developer Developer Release Plan Release Plan Release Plan Deploy Standardized Services Deploy Feature to Production Deploy Feature to Production Deploy Feature to Production Bugs Deploy Feature to Production Standardized portable container deployment saves time and effort https://hub.docker.com
Developer Developer Run What You Wrote Developer Developer
Developer Developer Run What You Wrote Micro service Micro service Micro service Micro service Micro service Micro service Micro service Developer Developer
Developer Developer Run What You Wrote Micro service Micro service Micro service Micro service Micro service Micro service Micro service Developer Developer Monitoring Tools
DeveloperDeveloper Developer Run What You Wrote Micro service Micro service Micro service Micro service Micro service Micro service Micro service Developer Developer Monitoring Tools
DeveloperDeveloper Developer Run What You Wrote Micro service Micro service Micro service Micro service Micro service Micro service Micro service Developer Developer Site Reliability Monitoring Tools Availability Metrics 99.95% customer success rate
DeveloperDeveloper Developer Run What You Wrote Micro service Micro service Micro service Micro service Micro service Micro service Micro service Developer Developer Manager Manager Site Reliability Monitoring Tools Availability Metrics 99.95% customer success rate
DeveloperDeveloper Developer Run What You Wrote Micro service Micro service Micro service Micro service Micro service Micro service Micro service Developer Developer Manager Manager VP Engineering Site Reliability Monitoring Tools Availability Metrics 99.95% customer success rate
Change One Thing at a Time!
What Happened? Rate of change increased Cost and size and risk of change reduced
Low Cost of Change Using Docker Developers • Compile/Build • Seconds Extend container • Package dependencies • Seconds PaaS deploy Container • Docker startup • Seconds
Low Cost of Change Using Docker Fast tooling supports continuous delivery of many tiny changes Developers • Compile/Build • Seconds Extend container • Package dependencies • Seconds PaaS deploy Container • Docker startup • Seconds
Disruptor: Continuous Delivery with Containerized Microservices
Microservices
A Microservice Definition Loosely coupled service oriented architecture with bounded contexts
A Microservice Definition Loosely coupled service oriented architecture with bounded contexts If every service has to be updated at the same time it’s not loosely coupled
A Microservice Definition Loosely coupled service oriented architecture with bounded contexts If every service has to be updated at the same time it’s not loosely coupled If you have to know too much about surrounding services you don’t have a bounded context. See the Domain Driven Design book by Eric Evans.
Coupling Concerns http://en.wikipedia.org/wiki/Conway's_law ●Conway’s Law - organizational coupling ●Centralized Database Schemas ●Enterprise Service Bus - centralized message queues ●Inflexible Protocol Versioning
Non-Destructive Production Updates ● “Immutable Code” Service Pattern ● Existing services are unchanged, old code remains in service ● New code deploys as a new service group ● No impact to production until traffic routing changes ● A|B Tests, Feature Flags and Version Routing control traffic ● First users in the test cell are the developer and test engineers ● A cohort of users is added looking for measurable improvement ● Finally make default for everyone, keeping old code for a while
Speeding Up Deployments Datacenter Snowflakes • Deploy in months • Live for years
Speeding Up Deployments Datacenter Snowflakes • Deploy in months • Live for years Virtualized and Cloud • Deploy in minutes • Live for weeks
Speeding Up Deployments Datacenter Snowflakes • Deploy in months • Live for years Virtualized and Cloud • Deploy in minutes • Live for weeks Container Deployments • Deploy in seconds • Live for minutes/hours
Speeding Up Deployments Datacenter Snowflakes • Deploy in months • Live for years Virtualized and Cloud • Deploy in minutes • Live for weeks Container Deployments • Deploy in seconds • Live for minutes/hours AWS Lambda Events • Respond in milliseconds • Live for seconds
Speeding Up Deployments Measuring CPU usage once a minute makes no sense for containers… Coping with rate of change is the first challenge for monitoring tools. Datacenter Snowflakes • Deploy in months • Live for years Virtualized and Cloud • Deploy in minutes • Live for weeks Container Deployments • Deploy in seconds • Live for minutes/hours AWS Lambda Events • Respond in milliseconds • Live for seconds
Inspiration
http://www.infoq.com/presentations/scale-gilt http://www.slideshare.net/mcculloughsean/itier-breaking-up-the-monolith-philly-ete http://www.infoq.com/presentations/Twitter-Timeline-Scalability http://www.infoq.com/presentations/twitter-soa http://www.infoq.com/presentations/Zipkin https://speakerdeck.com/mattheath/scaling-micro-services-in-go-highload-plus-plus-2014 State of the Art in Web Scale Microservice Architectures AWS Re:Invent : Asgard to Zuul https://www.youtube.com/watch?v=p7ysHhs5hl0 Resiliency at Massive Scale https://www.youtube.com/watch?v=ZfYJHtVL1_w Microservice Architecture https://www.youtube.com/watch?v=CriDUYtfrjs
Microservice Concerns ConfigurationTooling Discovery Routing Observability Development: Languages and Container Operational: Orchestration and Deployment Infrastructure Datastores
Microservices Edda Archaius Configuration Asgard Aminator Tooling Eureka Prana Discovery Denominator Zuul, Netty Ribbon 2.0 Routing Hystrix Pytheus SALP Observability Java, Groovy, Scala, Clojure, Python, Node.js with AMI and Docker Containers Manual Orchestration with Asgard and deployment on AWS or Eucalyptus Ephemeral datastores using Dynomite, Memcached, Astyanax, Staash, Priam, Cassandra
Microservices Edda Archaius Configuration Asgard Aminator Tooling Eureka Prana Discovery Denominator Zuul, Netty Ribbon 2.0 Routing Hystrix Pytheus SALP Observability Java, Groovy, Scala, Clojure, Python, Node.js with AMI and Docker Containers Manual Orchestration with Asgard and deployment on AWS or Eucalyptus Ephemeral datastores using Dynomite, Memcached, Astyanax, Staash, Priam, Cassandra Focus on global distribution, high scale and availability
NetflixOSS Components • See  “Zero  to  Docker”  to  try  out  Ne1lixOSS  in  seconds…   • Security  and  access  management  setup  -­‐  Security  Monkey   • Account  Management:  Asgard  to  deploy  &  Ice  for  cost  monitoring   • Build  Tools:  Aminator  to  automate  baking  AMIs   • Service  Registry  and  Searchable  Account  History:  Eureka  &  Edda   • ConfiguraOon  Management:  Archaius  dynamic  property  system   • Data  storage:  Cassandra,  Astyanax,  Priam,  EVCache,  SURO  logging  to  KaUa/ElasOc   • Dynamic  traffic  rouOng:  Denominator,  Zuul,  Ribbon,  Karyon   • Availability:  Simian  Army  (Chaos  Monkey),  Hystrix,  Turbine,  Atlas  monitoring   • Developer  producOvity:  Blitz4J,  GCViz,  Pytheas  dashboards,  RxJava   • Big  Data:  Genie  for  Hadoop  PaaS,  LipsOck  visualizer  for  Pig,  Pigpen  for  Clojure   • Apps  to  get  started:  SpringCloud,  RSS  Reader,  ACME  Air,  FluxCapacitor
Twitter Microservices Decider ConfigurationTooling Finagle Zookeeper Discovery Finagle Netty Routing Zipkin Observability Scala with JVM Container Orchestration using Aurora deployment in datacenters using Mesos Custom Cassandra-like datastore: Manhattan
Twitter Microservices Decider ConfigurationTooling Finagle Zookeeper Discovery Finagle Netty Routing Zipkin Observability Scala with JVM Container Orchestration using Aurora deployment in datacenters using Mesos Custom Cassandra-like datastore: Manhattan Focus on efficient datacenter deployment at scale
Challenges for Microservices
Managing Scale
A Possible Hierarchy Continents Regions Zones Services Versions Containers Instances How Many? 3 to 5 2-4 per Continent 1-5 per Region 100’s per Zone Many per Service 1000’s per Version 10,000’s It’s much more challenging than just a large number of machines
Flow
Some tools can show the request flow across a few services
But interesting architectures have a lot of microservices! Flow visualization is a big challenge. See http://www.slideshare.net/LappleApple/gilt-from-monolith-ruby-app-to-micro-service-scala-service-architecture
Failures
ELB Load Balancer Zuul API Proxy Karyon Business Logic Staash Data Access Layer Priam Cassandra Datastore Simple NetflixOSS style microservices architecture on three AWS Availability Zones
ELB Load Balancer Zuul API Proxy Karyon Business Logic Staash Data Access Layer Priam Cassandra Datastore Simple NetflixOSS style microservices architecture on three AWS Availability Zones
ELB Load Balancer Zuul API Proxy Karyon Business Logic Staash Data Access Layer Priam Cassandra Datastore Simple NetflixOSS style microservices architecture on three AWS Availability Zones Zone partition/failure What should you do? What should monitors show?
ELB Load Balancer Zuul API Proxy Karyon Business Logic Staash Data Access Layer Priam Cassandra Datastore Simple NetflixOSS style microservices architecture on three AWS Availability Zones Zone partition/failure What should you do? What should monitors show? By design, everything works with 2 of 3 zones running. This is not an outage, inform but don’t touch anything! Halt deployments perhaps?
ELB Load Balancer Zuul API Proxy Karyon Business Logic Staash Data Access Layer Priam Cassandra Datastore Simple NetflixOSS style microservices architecture on three AWS Availability Zones Zone partition/failure What should you do? What should monitors show? By design, everything works with 2 of 3 zones running. This is not an outage, inform but don’t touch anything! Halt deployments perhaps? Challenge: understand and communicate common microservice failure patterns.
Testing
Testing monitoring tools at scale gets expensive quickly…
Simulation
Simulated Microservices Model and visualize microservices Simulate interesting architectures Generate large scale configurations Eventually stress test real tools See github.com/adrianco/spigo Simulate Protocol Interactions in Go Visualize with D3 ELB Load Balancer Zuul API Proxy Karyon Business Logic Staash Data Access Layer Priam Cassandra Datastore Three Availability Zones
Definition of an architecture { "arch": "netflixoss", "description":"A very simple Netflix service. See http://netflix.github.io/ to decode the package names", "version": "arch-0.0", "victim": "homepage", "services": [ { "name": "cassSubscriber", "package": "priamCassandra", "count": 6, "regions": 1, "dependencies": ["cassSubscriber", "eureka"]}, { "name": "evcacheSubscriber","package": "store", "count": 3, "regions": 1, "dependencies": []}, { "name": "subscriber", "package": "staash", "count": 6, "regions": 1, "dependencies": ["cassSubscriber", "evcacheSubscriber"]} { "name": "login", "package": "karyon", "count": 18, "regions": 1, "dependencies": ["subscriber"]}, { "name": "homepage", "package": "karyon", "count": 24, "regions": 1, "dependencies": ["subscriber"]}, { "name": "wwwproxy", "package": "zuul", "count": 6, "regions": 1, "dependencies": ["login", "homepage"]}, { "name": "www-elb", "package": "elb", "count": 0, "regions": 1, "dependencies": ["wwwproxy"]}, { "name": "www", "package": "denominator", "count": 0, "regions": 0, "dependencies": ["www-elb"]} ] } Header includes chaos monkey victim New tier name Tier package Region count: 1 Node count List of tier dependencies
How does Spigo work? Creates and animates microservices Single Go program on this laptop Simulates 100,000+ instances Dynamic Go channels replace tcp/ip “gotocol” messages simulate http etc. About 250,000 messages/sec Supports social network architecture LAMP or NetflixOSS architectures
Spigo Nanoservice Structure func Start(listener chan gotocol.Message) { ... for { select { case msg := <-listener: switch msg.Imposition { case gotocol.Hello: // get named by parent ... case gotocol.NameDrop: // someone new to talk to ... case gotocol.GetRequest: // upstream request handler ... case gotocol.GetResponse:// downstream response handler ... case gotocol.Goodbye: // tell parent I’m going away now gotocol.Message{gotocol.Goodbye, nil, time.Now(), name}.GoSend(parent) return } case <-eurekaTicker.C: // poll the service registry ... } } }
Why Build Spigo? Generate test microservice configurations at scale Stress monitoring tools display capabilities Eventually (i.e. not implemented yet) Dynamically vary configuration: autoscale, code push Chaos monkey for microservice, zone, region failures D3 websocket dynamic browser interface
Conference Driven Development… OSCON Microservices Workshop
What’s Next?
Developer Concerns Agile, Lean & Rugged (Faster, Cheaper and Safer) See GOTO London Sept 2015
Forward Thinking
Forward Thinking
Any Questions? Disclosure: some of the companies mentioned may be Battery Ventures Portfolio Companies See www.battery.com for a list of portfolio investments ● Battery Ventures http://www.battery.com ● Adrian’s Tweets @adrianco and Blog http://perfcap.blogspot.com ● Slideshare http://slideshare.com/adriancockcroft ● Monitorama Opening Keynote Portland OR - May 7 th , 2014 ● GOTO Chicago Opening Keynote May 20 th , 2014 ● Qcon New York – Speed and Scale - June 11 th , 2014 ● Structure - Cloud Trends - San Francisco - June 19th, 2014 ● GOTO Copenhagen/Aarhus – Fast Delivery - Denmark – Sept 25 th , 2014 ● DevOps Enterprise Summit - San Francisco - Oct 21-23rd, 2014 #DOES14 ● GOTO Berlin - Migrating to Microservices - Germany - Nov 6th, 2014 ● AWS Re:Invent - Cloud Native Cost Optimization - Las Vegas - November 14th, 2014 ● O’Reilly Software Architecture Conference - Fast Delivery, Monitoring Challenge - Boston March 16th 2015
Security Visit http://www.battery.com/our-companies/ for a full list of all portfolio companies in which all Battery Funds have invested. Palo Alto Networks Enterprise IT Operations & Management Big DataCompute Networking Storage

More Related Content

PPTX
DevOps
byGehad Elsayed
 
PDF
Gitops Hands On
byBrice Fernandes
 
PPTX
Introduction to DevOps
byMatthew David
 
PPTX
DevSecOps
byJoel Divekar
 
PPTX
Qa in CI/CD
byAdsmurai
 
PDF
DevOps
byARYA TM
 
PPTX
CI/CD
byAmitDhodi
 
PPTX
meetup - Workflow complet de CI/CD pour les geeks avec gitlab et kubernetes
byFrederic Leger
 
DevOps
byGehad Elsayed
 
Gitops Hands On
byBrice Fernandes
 
Introduction to DevOps
byMatthew David
 
DevSecOps
byJoel Divekar
 
Qa in CI/CD
byAdsmurai
 
DevOps
byARYA TM
 
CI/CD
byAmitDhodi
 
meetup - Workflow complet de CI/CD pour les geeks avec gitlab et kubernetes
byFrederic Leger
 

What's hot

PDF
"Platform Engineering in practice — Why and How to start", Serg Hospodarets
byFwdays
 
PDF
DevSecOps | DevOps Sec
byRubal Jain
 
PPTX
Azure Site Recovery Bootcamp
byAsaf Nakash
 
PDF
AWS CDK in Practice
byChulwoo Choi
 
PDF
Real World CI/CD with Kubernetes
byOpsta
 
PDF
AWS CDK introduction
byleo lapworth
 
PPTX
DoD-Enterprise-DevSecOps-Initiative-Introduction-v4.52.pptx
byTomGrand4
 
PDF
Application Migration: How to Start, Scale and Succeed
byVMware Tanzu
 
PPTX
Azure Application Modernization
byKarina Matos
 
PPTX
Azure DevOps
byMichael Jesse
 
PPTX
Fundamentals of DevOps and CI/CD
byBatyr Nuryyev
 
PDF
devops
bySomkiat Puisungnoen
 
PDF
Practical DevSecOps - Arief Karfianto
byidsecconf
 
PDF
DevOps
byHakan Yüksel
 
PDF
DevOps introduction
bySridhara T V
 
PPTX
Web Application Security Strategy
byNetwork Intelligence India
 
PPTX
DevSecOps : an Introduction
byPrashanth B. P.
 
PDF
Introduction to CICD
byKnoldus Inc.
 
PPTX
8.cloud migration
byDrRajapraveenkN
 
PPTX
DevOps: Age Of CI/CD
byMoogleLabs default
 
"Platform Engineering in practice — Why and How to start", Serg Hospodarets
byFwdays
 
DevSecOps | DevOps Sec
byRubal Jain
 
Azure Site Recovery Bootcamp
byAsaf Nakash
 
AWS CDK in Practice
byChulwoo Choi
 
Real World CI/CD with Kubernetes
byOpsta
 
AWS CDK introduction
byleo lapworth
 
DoD-Enterprise-DevSecOps-Initiative-Introduction-v4.52.pptx
byTomGrand4
 
Application Migration: How to Start, Scale and Succeed
byVMware Tanzu
 
Azure Application Modernization
byKarina Matos
 
Azure DevOps
byMichael Jesse
 
Fundamentals of DevOps and CI/CD
byBatyr Nuryyev
 
devops
bySomkiat Puisungnoen
 
Practical DevSecOps - Arief Karfianto
byidsecconf
 
DevOps
byHakan Yüksel
 
DevOps introduction
bySridhara T V
 
Web Application Security Strategy
byNetwork Intelligence India
 
DevSecOps : an Introduction
byPrashanth B. P.
 
Introduction to CICD
byKnoldus Inc.
 
8.cloud migration
byDrRajapraveenkN
 
DevOps: Age Of CI/CD
byMoogleLabs default
 

Similar to Microservices the Good Bad and the Ugly

PDF
Cloud Native Cost Optimization UCC
byAdrian Cockcroft
 
PDF
Dockercon State of the Art in Microservices
byAdrian Cockcroft
 
PDF
Microxchg Microservices
byAdrian Cockcroft
 
PDF
When Developers Operate and Operators Develop
byAdrian Cockcroft
 
PDF
Monktoberfest Fast Delivery
byAdrian Cockcroft
 
PDF
Goto Berlin - Migrating to Microservices (Fast Delivery)
byAdrian Cockcroft
 
PDF
Fast Delivery DevOps Israel
byAdrian Cockcroft
 
PDF
DOES16 London - Better Faster Cheaper .. How?
byJohn Willis
 
PDF
Innovation and Architecture
byAdrian Cockcroft
 
PDF
Accelerate Delivery: Business Case for Agile DevOps, CI/CD and Microservices
byRick Hightower
 
PDF
From Monoliths to Microservices at Realestate.com.au
byevanbottcher
 
PDF
Microservices Workshop - Craft Conference
byAdrian Cockcroft
 
PDF
Merging micrservices architecture with SOA Practices
byWSO2
 
PPTX
Microservices: Why and When? - Alon Fliess, CodeValue - Cloud Native Day Tel ...
byCloud Native Day Tel Aviv
 
PPTX
Microservices in der Cloud - Software Architecture Summit Berlin 2016
byChristian Deger
 
PPTX
Accelerate Delivery: Business case for Agile DevOps, CI/CD and Microservices
byRick Hightower
 
PPTX
Chef for DevOps - an Introduction
bySanjeev Sharma
 
PPT
Ciber Soa April 2007 Omaha
bykmansour
 
PPSX
Comtechrim it infrastructure management company profile deck
byPuneet Bunet
 
PDF
Accenture Liquid Architectures (for Master EMSE UPM-FI - April 2017)
byJorge Hidalgo
 
Cloud Native Cost Optimization UCC
byAdrian Cockcroft
 
Dockercon State of the Art in Microservices
byAdrian Cockcroft
 
Microxchg Microservices
byAdrian Cockcroft
 
When Developers Operate and Operators Develop
byAdrian Cockcroft
 
Monktoberfest Fast Delivery
byAdrian Cockcroft
 
Goto Berlin - Migrating to Microservices (Fast Delivery)
byAdrian Cockcroft
 
Fast Delivery DevOps Israel
byAdrian Cockcroft
 
DOES16 London - Better Faster Cheaper .. How?
byJohn Willis
 
Innovation and Architecture
byAdrian Cockcroft
 
Accelerate Delivery: Business Case for Agile DevOps, CI/CD and Microservices
byRick Hightower
 
From Monoliths to Microservices at Realestate.com.au
byevanbottcher
 
Microservices Workshop - Craft Conference
byAdrian Cockcroft
 
Merging micrservices architecture with SOA Practices
byWSO2
 
Microservices: Why and When? - Alon Fliess, CodeValue - Cloud Native Day Tel ...
byCloud Native Day Tel Aviv
 
Microservices in der Cloud - Software Architecture Summit Berlin 2016
byChristian Deger
 
Accelerate Delivery: Business case for Agile DevOps, CI/CD and Microservices
byRick Hightower
 
Chef for DevOps - an Introduction
bySanjeev Sharma
 
Ciber Soa April 2007 Omaha
bykmansour
 
Comtechrim it infrastructure management company profile deck
byPuneet Bunet
 
Accenture Liquid Architectures (for Master EMSE UPM-FI - April 2017)
byJorge Hidalgo
 

More from Adrian Cockcroft

PDF
Microservices Workshop All Topics Deck 2016
byAdrian Cockcroft
 
PDF
Gophercon 2016 Communicating Sequential Goroutines
byAdrian Cockcroft
 
PDF
Monitoring Challenges - Monitorama 2016 - Monitoringless
byAdrian Cockcroft
 
PDF
Microservices Application Tracing Standards and Simulators - Adrians at OSCON
byAdrian Cockcroft
 
PDF
Evolution of Microservices - Craft Conference
byAdrian Cockcroft
 
PDF
Microservices: What's Missing - O'Reilly Software Architecture New York
byAdrian Cockcroft
 
PDF
What's Missing? Microservices Meetup at Cisco
byAdrian Cockcroft
 
PDF
In Search of Segmentation
byAdrian Cockcroft
 
PDF
Microxchg Analyzing Response Time Distributions for Microservices
byAdrian Cockcroft
 
PDF
Cloud Trends Nov2015 Structure
byAdrian Cockcroft
 
PDF
Openstack Silicon Valley - Vendor Lock In
byAdrian Cockcroft
 
PDF
Dockercon 2015 - Faster Cheaper Safer
byAdrian Cockcroft
 
PDF
Gluecon Monitoring Microservices and Containers: A Challenge
byAdrian Cockcroft
 
PDF
Software Architecture Conference - Monitoring Microservices - A Challenge
byAdrian Cockcroft
 
PDF
Cloud Native Cost Optimization
byAdrian Cockcroft
 
PDF
QCon New York - Migrating to Cloud Native with Microservices
byAdrian Cockcroft
 
PPTX
Monitorama - Please, no more Minutes, Milliseconds, Monoliths or Monitoring T...
byAdrian Cockcroft
 
PPTX
Disrupting the Storage Industry talk at SNIA Data Storage Innovation Conference
byAdrian Cockcroft
 
PDF
Hack Kid Con - Learn to be a Data Scientist for $1
byAdrian Cockcroft
 
PPTX
Epidemic Failures
byAdrian Cockcroft
 
Microservices Workshop All Topics Deck 2016
byAdrian Cockcroft
 
Gophercon 2016 Communicating Sequential Goroutines
byAdrian Cockcroft
 
Monitoring Challenges - Monitorama 2016 - Monitoringless
byAdrian Cockcroft
 
Microservices Application Tracing Standards and Simulators - Adrians at OSCON
byAdrian Cockcroft
 
Evolution of Microservices - Craft Conference
byAdrian Cockcroft
 
Microservices: What's Missing - O'Reilly Software Architecture New York
byAdrian Cockcroft
 
What's Missing? Microservices Meetup at Cisco
byAdrian Cockcroft
 
In Search of Segmentation
byAdrian Cockcroft
 
Microxchg Analyzing Response Time Distributions for Microservices
byAdrian Cockcroft
 
Cloud Trends Nov2015 Structure
byAdrian Cockcroft
 
Openstack Silicon Valley - Vendor Lock In
byAdrian Cockcroft
 
Dockercon 2015 - Faster Cheaper Safer
byAdrian Cockcroft
 
Gluecon Monitoring Microservices and Containers: A Challenge
byAdrian Cockcroft
 
Software Architecture Conference - Monitoring Microservices - A Challenge
byAdrian Cockcroft
 
Cloud Native Cost Optimization
byAdrian Cockcroft
 
QCon New York - Migrating to Cloud Native with Microservices
byAdrian Cockcroft
 
Monitorama - Please, no more Minutes, Milliseconds, Monoliths or Monitoring T...
byAdrian Cockcroft
 
Disrupting the Storage Industry talk at SNIA Data Storage Innovation Conference
byAdrian Cockcroft
 
Hack Kid Con - Learn to be a Data Scientist for $1
byAdrian Cockcroft
 
Epidemic Failures
byAdrian Cockcroft
 

Recently uploaded

PPTX
Celonis Optimizing your future with process
bydevjeremyappleyard
 
PDF
Founder & Tech Lead | Web Development & Digital Growth Consultant | Helping B...
byShyamal Das
 
PDF
HOW TO OVERCOME THE THREATS OF ARTIFICIAL INTELLIGENCE AGAINST HUMANITY.pdf
byFaga1939
 
PDF
Constraint Collapse and Fidelity Decay in Scaled Language Models
bySemantic Fidelity Lab | A. Jacobs
 
PPTX
Spacecraft Guidance Quick Research Guide by Arthur Morgan
byArthur Morgan
 
PDF
Agent to agent service discovery using HashiCorp Consul and Vault
byBram Vogelaar
 
PPTX
Introducing VisualSim 2610 The Next Leap in System Level Modeling
byDeepak Shankar
 
PPTX
Tech Trends 2026: AI Agents, Quantum Computing, Robotics & Cybersecurity
byridwansassman
 
PDF
Odoo Implementation Checklist: A Strategic ERP Blueprint for Business-Ready D...
byBANIBRO IT SOLUTION
 
PDF
Effortless Distributed Systems with Aspire.pdf
byParticular Software
 
PDF
February 2026 Patch Tuesday hosted by Chris Goettl and Todd Schell
byIvanti
 
PDF
shayk.online - Anonymous chat with Sinatra and WebSockets
byEleanor McHugh
 
PDF
Transcript: Escape from the Forbidden Zone: Smuggling green and inclusive tec...
byBookNet Canada
 
PDF
Explaining specific examples of purpose-specific BOM
byakipii ogaoga
 
PDF
Logical Optimal Actions – Towards Knowledge-based Reinforcement Learning with...
byMichiaki Tatsubori
 
PPTX
Do You Control the AI, or Does the AI Control You?
bymedhateltoukhy
 
PDF
Digital Twin in IBM for Accelerated Discovery of Climate & Sustainability, K...
byMichiaki Tatsubori
 
PDF
AI TOOLS FOR PRODUCTIVITY IN MODERN TIMES.pdf
bySantunu
 
PDF
GDG Cloud Southlake #49: Pradeep R Kumar: Implications of Agentic AI for Iden...
byJames Anderson
 
PDF
Automated Governance for FME Flow: Smarter Admin at Scale
bySafe Software
 
Celonis Optimizing your future with process
bydevjeremyappleyard
 
Founder & Tech Lead | Web Development & Digital Growth Consultant | Helping B...
byShyamal Das
 
HOW TO OVERCOME THE THREATS OF ARTIFICIAL INTELLIGENCE AGAINST HUMANITY.pdf
byFaga1939
 
Constraint Collapse and Fidelity Decay in Scaled Language Models
bySemantic Fidelity Lab | A. Jacobs
 
Spacecraft Guidance Quick Research Guide by Arthur Morgan
byArthur Morgan
 
Agent to agent service discovery using HashiCorp Consul and Vault
byBram Vogelaar
 
Introducing VisualSim 2610 The Next Leap in System Level Modeling
byDeepak Shankar
 
Tech Trends 2026: AI Agents, Quantum Computing, Robotics & Cybersecurity
byridwansassman
 
Odoo Implementation Checklist: A Strategic ERP Blueprint for Business-Ready D...
byBANIBRO IT SOLUTION
 
Effortless Distributed Systems with Aspire.pdf
byParticular Software
 
February 2026 Patch Tuesday hosted by Chris Goettl and Todd Schell
byIvanti
 
shayk.online - Anonymous chat with Sinatra and WebSockets
byEleanor McHugh
 
Transcript: Escape from the Forbidden Zone: Smuggling green and inclusive tec...
byBookNet Canada
 
Explaining specific examples of purpose-specific BOM
byakipii ogaoga
 
Logical Optimal Actions – Towards Knowledge-based Reinforcement Learning with...
byMichiaki Tatsubori
 
Do You Control the AI, or Does the AI Control You?
bymedhateltoukhy
 
Digital Twin in IBM for Accelerated Discovery of Climate & Sustainability, K...
byMichiaki Tatsubori
 
AI TOOLS FOR PRODUCTIVITY IN MODERN TIMES.pdf
bySantunu
 
GDG Cloud Southlake #49: Pradeep R Kumar: Implications of Agentic AI for Iden...
byJames Anderson
 
Automated Governance for FME Flow: Smarter Admin at Scale
bySafe Software
 

Microservices the Good Bad and the Ugly