Devoxx UK 2019: "Testing Java Microservices: From Development to Production

•Als PPTX, PDF herunterladen•

0 gefällt mir•316 views

Testing microservices is challenging. Dividing a system into components (à la microservices) naturally creates inter-component dependencies, and each service has its own performance and fault-tolerance characteristics that need to be validated during development, the QA process, and continually in production. Attend this session to learn about the theory, techniques, and practices needed to overcome this challenge. Join us, and: Get an introduction to the challenges of testing distributed microservice systems Learn how to isolate tests within a complex microservice ecosystem Hear about several tools for automating vulnerability and security scanning for code, dependencies, and deployment artifacts

Technologie

Testing Java Microservices:
From Development to Production
Abraham Marín-Pérez | Daniel Bryant

tl;dr
● Testing microservices brings additional challenges
● Pay special attention to integration surfaces
● Isolate services for loosely coupled tests
● Include tests that resemble production
● Make security testing a first-class citizen

Who am I?
@danielbryantuk
Product Architect at Datawire
Consultant, Writer
Java Champion, Conference Tourist
@abrahammarin
Developer, Consultant, Writer
Associate of Equal Experts
Software Plumber

Types of tests
From Agile Testing, by Lisa Crispin and Janet Gregory

Challenges
● Cannot share a single environment: test locally
● Full ecosystem unsuitable for local testing
● Lack of control over third-party dependencies

Isolating Parts: No Isolation
Third Party

Isolating Parts: Unowned Components
Third Party

Test Doubles
Dummy objects: passed around but never actually used.
Fake objects: working implementations not suitable for production
Stubs: provide canned answers to calls made during the test
Spies: stubs that also record some information based on how they were called.
Mocks: objects pre-programmed with expectations which form a specification of the
calls they are expected to receive.
Virtualisations: emulation of services, with expectations (not suitable for production)
https://martinfowler.com/articles/mocksArentStubs.html

API Simulation Thoughts
● Useful when a dependency is “expensive” to
access or tricky to mock
● Facilitates error handling tests when dependency
failure modes are challenging to recreate
● Simulations can be fragile and/or complicated

Isolating Parts: Service Interaction
Third Party

Focused on
service/function
Focused on
system
Contract Tests

API Contracts
APIs are service contracts
Many are producer-driven
It’s possible to design outside-in:
Consumer-Driven Contracts

Consumer-Driven Contracts
https://www.baeldung.com/pact-junit-consumer-driven-contracts

Consumer-Driven Contract Frameworks
https://docs.pact.io/ https://cloud.spring.io/spring-cloud-contract/

Consumer-Driven Contract Thoughts
● Great in low trust or low communication organisations
○ Act as a cue for a conversation
● Can be used to implement “TDD for the API”
● Resource intensive to create and maintain

Isolating Parts: Single Service
Third Party

Isolating Parts: Single Service
Test
Doubles

Isolating Parts: Single Service
Fault Tolerance
Test double configured to fail

https://technology.cap-hpi.com/blog/unit-testing-what-benefits-you-can-reap/

Isolating Parts: Technicalities
Third Party

Isolating Parts: Technicalities
Test the Real Thing

Isolating Parts: Data
Test Data
● Low Volume
● Low Diversity
Production Data
● High Volume
● High Diversity

Isolating Parts: Data
Marín
Argüelles
d’Hopital
Garçon
Castaña
Strauß
Fønss
Bård
かほる
Александр
สมชาย
Φραγκόπουλος

Isolating Parts: Data
a а
“a” “azǔ”
U+0061 U+0430

www.owasp.org
https://www.owasp.org/index.php/C
ategory:OWASP_Top_Ten_Project

Security: Container Images
github.com/arminc/clair-scanner

Conclusion
● Testing microservices brings additional challenges
● Pay special attention to integration surfaces
● Isolate services for loosely coupled tests
● Include tests that resemble production
● Make security testing a first-class citizen

Thanks!
Some code samples:
https://github.com/orgs/continuous-delivery-in-java
(with more coming soon!)

https://medium.com/@copyconstruct/testing-microservices-the-sane-way-9bb31d158c16
Evolution of QA

Semantic Txns / Synthetic Monitoring
https://martinfowler.com/bliki/SyntheticMonitoring.html

Devoxx UK 2019: "Testing Java Microservices: From Development to Production

Weitere ähnliche Inhalte

Was ist angesagt?

Git branching policy and review comment's prefix

Kumaresh Chandra Baruri

Feature flag launchdarkly

Sandeep Soni

Thesis presentation over Web Development

Aman Khan

Automating functional testing of Flex applications.

Gokuldas Pillai

Gauge from an end user's perspective-fathima harris

VodqaBLR

Cypress Test Techniques-Cucumber BDD Framework,TDD,API Tests

HiraQureshi22

Gunderao _CV

gunderao patil

Developers on test

Datio Big Data

Behavior Driven Development

MonocularVision

Dependency Injection with Apex

Salesforce Developers

Jenifer Breeze_Resume

jenifer breeze

Deepak_Resume_Automation

Deepak Pandey

Experimental android hacking using reflection

SeongJae Park

Stc 2015 regional-round-ppt-exlopratory mobile testing with risk analysis

Archana Krushnan

Amruth-Testing

amruthraj m

Software testing

K Lingaraju

SW Testing Fundamentals

Ismail aboulezz

Cross Platform Mobile Technologies

Talentica Software

From One Test To Test Framework With Rapise

Inflectra

Amit_3.5+exp_Software_Testing

Amit Kumar Singh

Was ist angesagt? (20)

Git branching policy and review comment's prefix

Feature flag launchdarkly

Thesis presentation over Web Development

Automating functional testing of Flex applications.

Gauge from an end user's perspective-fathima harris

Cypress Test Techniques-Cucumber BDD Framework,TDD,API Tests

Gunderao _CV

Developers on test

Behavior Driven Development

Dependency Injection with Apex

Jenifer Breeze_Resume

Deepak_Resume_Automation

Experimental android hacking using reflection

Stc 2015 regional-round-ppt-exlopratory mobile testing with risk analysis

Amruth-Testing

Software testing

SW Testing Fundamentals

Cross Platform Mobile Technologies

From One Test To Test Framework With Rapise

Amit_3.5+exp_Software_Testing

Ähnlich wie Devoxx UK 2019: "Testing Java Microservices: From Development to Production

Testing microservices is challenging. Dividing a system into components (à la microservices) naturally creates inter-component dependencies, and each service has its own performance and fault-tolerance characteristics that need to be validated during development, the QA process, and continually in production. Attend this meetup to learn about the theory, techniques, and practices needed to overcome this challenge. You will: • Get an introduction to the challenges of testing distributed microservice systems • Learn how to isolate tests within a complex microservice ecosystem • Hear about several tools for automating vulnerability and security scanning for code, dependencies, and deployment artifacts

Testing Java Microservices: From Development to Production

Daniel Bryant

Dividing a system into a series of services that communicate over an unreliable network naturally creates challenging conditions for testing inter-service interactions. Each service has its own functional requirements, and performance and fault-tolerance characteristics that need to be validated during development, the QA process, and continually in production. Join Daniel Bryant to learn about the theory, techniques, and practices that can help to overcome these challenges. Overview and learning Outcomes: • Introduction to the challenges of testing distributed microservice systems • Learn tactics for isolating tests within a complex microservice ecosystem • Join a whistle-stop tour of consumer-driven contract testing and API simulation • Understand where to implement fault-injection within doubles in order to validate nonfunctional requirements in development and QA • Understand the benefits of continually validating microservice systems running in production

[SC London] "Testing Microservices: from Development to Production

Daniel Bryant

Introduce Test Harness for Direct To Consumer Solutions.pdf

Knoldus Inc.

Create Software Design with unit testing, build user experience with UX testing, check definition of done with functional testing – all these are my day-to-day activities. Indeed, I am a developer who has found the value of testing to deliver quality software. In this presentation I share with you how I have come to use tests for: understanding the features, choosing the best user experience design, choosing the best technical solution, implementing the features and test them to create a reliable system. You will see practical examples of how tools like Jasmine, Spock, Geb are used for the above types of tests. You will see a project with test code and we will discuss how testing can effectively enhance your professional performance.

Developer Experience to Testing

Mozaic Works

"The twelve-factor app principle is a methodology for building software as a service application and these best practices are designed to enable applications to be built with portability and resilience when deployed to the web. Lagom is a well-known framework for developing microservices. In this knolx session, we would be discussing the twelve-factor app principle with respect to lagom development. "

Twelve Factor App With Lagom

Knoldus Inc.

Microservices Architecture

Lucian Neghina

Testing Microservices

Nagarro

An often overlooked aspect of a microservices architecture is its UI. Oracle JavaScript Extension Toolkit (Oracle JET) offers a complete solution to meet this challenge with Web Components. This session demonstrates putting together the building blocks of a micro-front-end architecture using Oracle JET’s Web Components, Node.js, and Docker. It also demonstrates testing components in isolation with Karma/Jasmine and Selenium, and finally—to round things out—a complete pipeline based on Oracle Developer Cloud Service is built to enable CI/CD.

Micro Front Ends for Micro Services using Oracle JET

Vijay Nair

Until recently, major public cloud providers have offered relatively basic toolsets for identifying suspicious activity occurring inside customer accounts that may indicate a compromise. Some organizations have invested significant resources to build their own tools or have leveraged industry vendor offerings to provide this visibility. The reality is, that barrier has meant that a large number of organizations haven't dedicated those resources to this problem and therefore operate without sufficient detection and response capabilities that monitor their cloud accounts for compromise. Amazon Web Services, Google Cloud Platform, and Microsoft Azure have recently launched a new set of native platform threat and anomalous behavior detection services to help their customers better identify and respond to certain issues and activities occurring inside their cloud accounts. From detecting crypto-currency mining to identifying bot-infected systems to alerting on suspicious cloud credential usage to triggering on cloud-specific methods of data exfiltration, these new services aim to make these kinds of detections much easier and simpler to centrally manage. But what new and unique insights do they offer? What configuration is required to achieve the full benefits of these detections? What types of activities are not yet covered? What attack methods and techniques can avoid detection by these systems and still be successful? What practical guidelines can be followed to make the best use of these services in an organization? Follow along as we attempt to answer these questions using practical demonstrations that highlight the real threats facing cloud account owners and how the new threat detection capabilities perform in reducing the risks of operating workloads in the public cloud.

Detecting Malicious Cloud Account Behavior: A Look at the New Native Platform...

Priyanka Aash

Taking your code to production

muayyad alsadi

Opticon18: Developer Night

Optimizely

Testing strategies in microservices

GeekNightHyderabad

Mobile App Quality Roadmap for DevTest Teams

Perfecto by Perforce

Approaching ATDD/BDD

Dhaval Dalal

Test Strategies in Microservices

Mesut Özen

ngStockholm #8 at NetEnt - Micro Frontend Architecture

Ishaan Puniani

Jeffrey Richter

CodeFest

Agile Testing 2020

arzu TR

IBM Z for the Digital Enterprise - DevOps for Z

DevOps for Enterprise Systems

Dev ops for z

bamadhu

Ähnlich wie Devoxx UK 2019: "Testing Java Microservices: From Development to Production (20)

Testing Java Microservices: From Development to Production

[SC London] "Testing Microservices: from Development to Production

Introduce Test Harness for Direct To Consumer Solutions.pdf

Developer Experience to Testing

Twelve Factor App With Lagom

Microservices Architecture

Testing Microservices

Micro Front Ends for Micro Services using Oracle JET

Detecting Malicious Cloud Account Behavior: A Look at the New Native Platform...

Taking your code to production

Opticon18: Developer Night

Testing strategies in microservices

Mobile App Quality Roadmap for DevTest Teams

Approaching ATDD/BDD

Test Strategies in Microservices

ngStockholm #8 at NetEnt - Micro Frontend Architecture

Jeffrey Richter

Agile Testing 2020

IBM Z for the Digital Enterprise - DevOps for Z

Dev ops for z

Mehr von Daniel Bryant

API Gateways are certainly not a new technology, but the way in which they are being deployed, configured, and operated within modern platforms is forcing many of us to rethink our approach. Can we simply lift and shift our existing gateway into the cloud? Is our API gateway GitOps friendly (and does it need to be)? And what about service meshes, CNI, eBPF, and... Join this talk for a whistle stop tour of modern API gateways, which a focus on deploying and managing this technology within Kubernetes (on which many modern platforms are built): - Understand why platform engineers should care about API Gateways today - Learn about API gateways, options, and requirements for modern platforms - Identify key considerations for migrating to the cloud or building a new platform on Kubernetes - Understand how cloud native workflows impact the user/developer experience (UX/DX) of an API gateway - Explore the components of a complete "edge stack" that supports end-to-end development flows

ITKonekt 2023: The Busy Platform Engineers Guide to API Gateways

Daniel Bryant

When enterprise organizations adopt microservices, containers, and cloud native development, the technologies and architectures may change, but the fact remains that we all still add the occasional bug to our code. The main challenge you now face is how to perform integration or end-to-end testing without spinning up all of your microservices locally and driving your laptop fans into high speed! Join me for a tour of your microservices testing options using a series of Java-friendly tools. - Explore challenges with scaling container-based application development (you can only run so many microservices locally before minikube melts your laptop) - Learn about effective unit testing with mocks, using TestContainers for dependency testing, and using Telepresence to extend your local testing environment into the cloud - Understand when to use each type of test and tooling based on your use case and requirements for realism, speed, and practicality - See how Telepresence can "intercept" or reroute traffic from a specified service in a remote K8s cluster to your local dev machine

CraftConf 2023 "Microservice Testing Techniques: Mocks vs Service Virtualizat...

Daniel Bryant

PlatformCon 23: "The Busy Platform Engineers Guide to API Gateways"

Daniel Bryant

Java Meetup 23: 'Debugging Microservices "Remocally" in Kubernetes with Telep...

Daniel Bryant

Over the last year, the Ambassador Labs team has doubled down on their adoption of Product Led Growth (PLG), a growth model where product usage drives customer acquisition, retention, and expansion. It’s been an interesting journey for the DevRel team, who have found themselves working more closely with both the sales and growth engineering teams. In their quest to reduce the friction of product adoption, they’re thinking more and more about the end-to-end experiences, experimentation, instrumentation, data analysis, and handoffs — much like we saw in the software development world with the adoption of DevOps breaking down barriers between engineering and operations. The Ambassador Labs team have learned more about the value of creating hypotheses and analyzing quantitative data, but have also been reminded that there is no substitute for qualitative data and engaging human-to-human. Join Daniel for a whistle-stop tour of PLG through the DevRel lens: – Understand how moving to PLG can impact devrel teams and the work they do: for better and worse! – Explore how DevRel tooling and community platforms are increasingly overlapping with PLG marketer tooling – Learn how to structure your goals, common languages, and teams for successfully adopting PLG

DevRelCon 2022: "Is Product Led Growth (PLG) the “DevOps” of the DevRel World"

Daniel Bryant

Developers building applications on Kubernetes today are being asked to not just code applications -- they are also responsible for shipping and running their applications, too. We often talk about needing a Kubernetes platform, but are we really looking for a PaaS? Or instead, are we looking for some kind of developer control plane with a Goldilock-sized collection of tools that provides just the right amount of platform? This talk will look back on my experience of building platforms, both as an end-user and now as part of an organization helping our customers do the same. We’ll wrap this talk with a walk-through of the CNCF ecosystem through the developer control plane lens, and look at what’s next in the future of this important emerging category.

Fall 22: "From Kubernetes to PaaS to... err, what's next"

Daniel Bryant

Join me for a tour of coding, testing, and shipping microservices using remote-to-local “remocal” tools and techniques. You will: - Understand the challenges with scaling container-based application development – i.e. you can only run so many microservices locally before minikube melts your laptop. - Learn when to use various types of development practices and tooling based on your use case and requirements for production realism, speed, and practicality. - Explore how to utilize containerized dependencies and Docker for testing, including for both apps and services you own and those you don’t. - Learn how Telepresence can enable “remocal” development, expanding your local machine and Docker Desktop out into a remote Kubernetes cluster.

Building Microservice Systems Without Cooking Your Laptop: Going “Remocal” wi...

Daniel Bryant

Many organizations adopt cloud native development practices with the goal of shipping features faster. The technologies and architectures may change when we move to the cloud, but the fact remains that we all still add the occasional bug to our code. The challenge here is that many of your existing local debugging tools and practices can’t be used when everything is running in a container or deployed onto Kubernetes running in the cloud. This is where the open source Telepresence tool can help. Join Daniel to learn about: - Quick overview of remote-local ("remocal") options and tooling e.g. “kubectl port-forward”, Skaffold, ksync, Telepresence etc. - An exploration of how Telepresence can “intercept” or reroute traffic from a specified service in a remote K8s cluster to your local dev machine -- The benefits of getting a “hot reload” fast feedback loop between applications being developed locally and apps running in the remote environment

KubeCrash 22: Debugging Microservices "Remocally" in Kubernetes with Telepres...

Daniel Bryant

When enterprise organizations adopt microservices, containers, and cloud native development, the technologies and architectures may change, but the fact remains that we all still add the occasional bug to our code. The main challenge you now face is how to perform integration or end-to-end testing without spinning up all of your microservices locally and driving your laptop fans into high speed! Join me for a tour of testing microservices using a series of Java applications as a case study. You will learn everything about effective unit testing with mocks, using TestContainers for dependency testing, and using Telepresence to extend your local testing environment into the cloud. Learn when to use each type of test and tooling based on your use case and requirements for realism, speed, and practicality. We will discuss how to utilize containerized dependencies and Docker for testing, including both apps and services you own and those you don’t. We’ll also go over the challenges with scaling container-based application development (you can only run so many microservices locally before minikube melts your laptop). Finally, you’ll see how Telepresence can "intercept" or reroute traffic from a specified service in a remote K8s cluster to your local dev machine.

JAX London 22: Debugging Microservices "Remocally" in Kubernetes with Telepre...

Daniel Bryant

Many engineers are confused about how a cloud-native API gateway relates to Kubernetes Ingress or a Service load balancer. This talk will unravel this confusion. An API gateway is at the core of how APIs are managed, secured and presented within any web-based system. Although the technology has been in use for many years, it has not always kept pace with recent developments within the cloud-native space. Join Daniel Bryant in uncovering the evolution of API gateways over the past ten years and how the original problems they were solving have shifted in relation to cloud-native technologies and workflow.

CloudBuilders 2022: "The Past, Present, and Future of Cloud Native API Gateways"

Daniel Bryant

Developers building applications on Kubernetes today are being asked to not just code applications -- they are also responsible for shipping and running their applications, too. We often talk about needing a Kubernetes platform, but are we really looking for a PaaS? Or instead, are we looking for some kind of developer control plane with a Goldilock-sized collection of tools that provides just the right amount of platform? This talk will look back on my experience of building platforms, both as an end-user and now as part of an organization helping our customers do the same. The key takeaways are: - Treat platform as a product - Realize that you can’t have good developer experience (DevEx) without good UX - Focus on workflows and tooling interoperability We’ll wrap this talk with a walk-through of the CNCF ecosystem through the developer control plane lens, and look at what’s next in the future of this important emerging category.

KubeCon EU 2022: From Kubernetes to PaaS to Err What's Next

Daniel Bryant

Many Java-based organizations adopt cloud native development practices with the goal of shipping features faster. The technologies and architectures may change when we move to the cloud, but the fact remains that we all still add the occasional bug to our code. The challenge here is that many of your existing local debugging tools and practices can’t be used when everything is running in a container or deployed onto Kubernetes running in the cloud. This is where the open source Telepresence tool can help. Join me to learn about: – The challenges with scaling Kubernetes-based Java development i.e. you can only run so many microservices locally before minikube melts your laptop – Quick overview of remote-local ("removal") options and tooling e.g. “kubectl port-forward”, Skaffold, ksync, Telepresence etc – An exploration of how Telepresence can “intercept” or reroute traffic from a specified service in a remote K8s cluster to your local dev machine – The benefits of getting a “hot reload” fast feedback loop between applications being developed locally and apps running in the remote environment

Devoxx UK 22: Debugging Java Microservices "Remocally" in Kubernetes with Tel...

Daniel Bryant

Developers building applications on Kubernetes today are being asked to not just develop applications -- they are also responsible for releasing and running their applications, too. In this talk, we’ll discuss the secular shift towards what Netflix calls “Full Cycle Development” or what Google calls “Service Ownership”. With developers managing so much of the cloud-native development loop, a new class of infrastructure has emerged -- the developer control plane. We’ll explore the evolution from Kubernetes to PaaS, to the developer control planes in use today. We’ll draw on our personal experiences and podcast chats with the larger CNCF community, and discuss real-world examples of developer control planes used at New Relic, Spotify, InVision, and Twitter. We’ll wrap this talk with a walk through of the CNCF ecosystem through the developer control plane lens, and look at what’s next in the future of this important emerging category.

DevXDay KubeCon NA 2021: "From Kubernetes to PaaS to Developer Control Planes"

Daniel Bryant

At a previous JAX event I talked about effective cloud native Java developer workflow. Two years later and many new developer technologies have come and gone, but I still hear daily from cloud developers about the pain and friction associated with building, debugging, and deploying to the cloud. In this talk I’ll share my latest learning on how to bring the fun and productivity back into delivering Kubernetes-based software. Join this talk to: Learn why the core tenets of continuous delivery — speed and safety — must be considered in all parts of the cloud native SDLC Explore how cloud native coding benefits from thinking separately about the inner development loop, continuous integration, continuous deployment, observability, and analysis Understand how cloud native best practices and tooling fit together. Learn about artifact syncing (e.g. Skaffold), dev environment bridging (e.g. Telepresence), GitOps (e.g. Argo), and observability-focused monitoring (e.g. Prometheus, Jaeger) Explore the importance of cultivating an effective cloud platform and associated team of experts Walk away with an overview of tools that can help you develop and debug effectively when using Kubernetes

JAX London 2021: Jumpstart Your Cloud Native Development: An Overview of Prac...

Daniel Bryant

Many organizations adopt cloud native development practices with the goal of shipping features faster. The technologies and architectures may change when we move to the cloud, but the fact remains that we all still add the occasional bug to our code. The challenge here is that many of your existing local debugging tools and practices can't be used when everything is running in a container or deployed onto Kubernetes running in the cloud. This is where the open source Telepresence tool can help. Join me to learn about: - The challenges with scaling Kubernetes-based Java development i.e. you can only run so many microservices locally before minikube melts your laptop - An exploration of how Telepresence can "intercept" or reroute traffic from a specified service in a remote K8s cluster to your local dev machine - The benefits of getting a "hot reload" fast feedback loop between applications being developed locally and apps running in the remote environment - A tour of Telepresence, from the sidecar proxy deployed into the remote K8s cluster to the CLI - An overview of using "preview URLs" and header-based routing for the sharing, collaboration, and isolation of changes you are making on your local copy of an intercepted service

Container Days: Easy Debugging of Microservices Running on Kubernetes with Te...

Daniel Bryant

By Daniel Bryant, Ambassador Labs We all need to be able to get user traffic into our applications, and your requirements for services running on Kubernetes are no different. "But", I hear you say, "what about the K8s Ingress spec? And how do I observe what's happening under the hood? And who should be responsible for configuring the gateway: dev or ops?" These are all good questions! Join me for a whistle-stop tour of all things emissary-ingress, where we will explore how this new edition to the family of CNCF incubation projects can make your life easier when it comes to routing, observability, and integration into the bigger (people and technology) picture.

Canadian CNCF: "Emissary-ingress 101: An introduction to the CNCF incubation-...

Daniel Bryant

Many Java-based organizations adopt cloud native development practices with the goal of shipping features faster. The technologies and architectures may change when we move to the cloud, but the fact remains that we all still add the occasional bug to our code. The challenge here is that many of your existing local debugging tools and practices can't be used when everything is running in a container or deployed onto Kubernetes running in the cloud. This is where the open source Telepresence tool can help. Join me to learn about: - The challenges with scaling Kubernetes-based Java development i.e. you can only run so many microservices locally before minikube melts your laptop - An exploration of how Telepresence can "intercept" or reroute traffic from a specified service in a remote K8s cluster to your local dev machine - The benefits of getting a "hot reload" fast feedback loop between applications being developed locally and apps running in the remote environment - A tour of Telepresence, from the sidecar proxy deployed into the remote K8s cluster to the CLI - An overview of using "preview URLs" and header-based routing for the sharing, collaboration, and isolation of changes you are making on your local copy of an intercepted service

MJC 2021: "Debugging Java Microservices Running on Kubernetes with Telepresence"

Daniel Bryant

Many Java-based organizations adopt cloud native development practices with the goal of shipping features faster. The technologies and architectures may change when we move to the cloud, but the fact remains that we all still add the occasional bug to our code. The challenge here is that many of your existing local debugging tools and practices can't be used when everything is running in a container or deployed onto Kubernetes running in the cloud. This is where the open source Telepresence tool can help. Join me to learn about: - The challenges with scaling Kubernetes-based Java development i.e. you can only run so many microservices locally before minikube melts your laptop - An exploration of how Telepresence can "intercept" or reroute traffic from a specified service in a remote K8s cluster to your local dev machine - The benefits of getting a "hot reload" fast feedback loop between applications being developed locally and apps running in the remote environment - A tour of Telepresence, from the sidecar proxy deployed into the remote K8s cluster to the CLI - An overview of using "preview URLs" and header-based routing for the sharing, collaboration, and isolation of changes you are making on your local copy of an intercepted service

LJC 4/21"Easy Debugging of Java Microservices Running on Kubernetes with Tele...

Daniel Bryant

At GOTO Amsterdam in 2019 I presented how to create an effective cloud native developer workflow. Two years later and many new developer technologies have come and gone, but I still hear daily from cloud developers about the pain and friction associated with building, debugging, and deploying to the cloud. In this talk I'll share my latest learning on how to bring the fun and productivity back into delivering Kubernetes-based software. Join this talk to: Learn why the core tenets of continuous delivery -- speed and safety -- must be considered in all parts of the cloud native SDLC Explore how cloud native coding benefits from thinking separately about the inner development loop, continuous integration, continuous deployment, observability, and analysis Understand how cloud native best practices and tooling fit together. Learn about artifact syncing (e.g. Skaffold), dev environment bridging (e.g. Telepresence), GitOps (e.g. Argo), and observability-focused monitoring (e.g. Prometheus, Jaeger) Explore the importance of cultivating an effective cloud platform and associated team of experts Walk away with an overview of tools that can help you develop and debug effectively when using Kubernetes

GOTOpia 2/2021 "Cloud Native Development Without the Toil: An Overview of Pra...

Daniel Bryant

HashiCorp Consul integrates with Ambassador to securely route Ingress traffic to Consul Service Mesh when using Kubernetes. When onboarding applications onto a service mesh or when integrating with existing applications outside of the Mesh, a north south API gateway is typically required for communications with clients outside of the network. Ambassador is a Kubernetes API Gateway that allows you to route incoming traffic to your Consul Service Mesh proxies while also providing the ability to leverage advanced API Gateway functionalities such as rate limiting and authentication.

HashiCorp Webinar: "Getting started with Ambassador and Consul on Kubernetes ...

Daniel Bryant

Mehr von Daniel Bryant (20)