ApI first Microservices meetup

Feb 22, 2018Download as PPTX, PDF1 like500 views

The document discusses API-first microservice development and developer tooling for Kubernetes. It begins with background on monolith architectures and self-contained systems (SCS), where each SCS contains its own user interface, business logic, and data storage. It notes SCS should integrate via web interfaces to minimize coupling. The document then addresses problems with container-native development, like service discovery and resiliency, which service meshes like Istio aim to solve. It presents examples of an open-source SCS demo and observability tools for SCS. Finally, it outlines an API-first development lifecycle and shows an API registry SCS architecture.

Copyright © 2018, Oracle and/or its affiliates. All rights reserved. |
API-first Microservice Development
Developer Tooling for Kubernetes
Mark W. Foster, Microservices Platform Architect

Copyright © 2018, Oracle and/or its affiliates. All rights reserved. |
A little architectural background
2

Copyright © 2018, Oracle and/or its affiliates. All rights reserved. |
Monoliths and Self-contained (Distributed) Systems
3

Copyright © 2018, Oracle and/or its affiliates. All rights reserved. |
Self-contained Systems (SCS)
4
An SCS contains its own
user interface, specific
business logic and
separate data storage
http://scs-architecture.org/

Copyright © 2018, Oracle and/or its affiliates. All rights reserved. |
Self-contained Systems (SCS)
5
The business logic can consist of
microservices to solve domain
specific problems.
http://scs-architecture.org/

Copyright © 2018, Oracle and/or its affiliates. All rights reserved. |
Self-contained Systems (SCS)
6
Inside of a self-contained system a bunch of
technical decisions can be made independently
from other systems, such as programming
language, frameworks, tooling or workflow.
http://scs-architecture.org/

Copyright © 2018, Oracle and/or its affiliates. All rights reserved. |
Self-contained Systems (SCS)
7
Self-contained Systems
should be integrated over
their web interfaces to
minimize coupling to other
systems.
http://scs-architecture.org/

Copyright © 2018, Oracle and/or its affiliates. All rights reserved. |
Monoliths and Self-contained (Distributed) Systems
8

Copyright © 2018, Oracle and/or its affiliates. All rights reserved. |
Monoliths and Self-contained (Distributed) Systems
9

Copyright © 2018, Oracle and/or its affiliates. All rights reserved. |
Built on Oracle – Taming Complexity
10

Copyright © 2018, Oracle and/or its affiliates. All rights reserved. |
Today’s problems with container native development
11
COMMON API AND SERVICES
CI/CD
MANAGED KUBERNETES
JAVA MICRO SERVICES
DIAGNOSTICS
• Kubernetes (K8S) provides application infrastructure for modern cloud-
native applications, but leaves much of distributed system
management to application authors:
• Rapid Prototyping
• Service/API Discovery
• Back off/Retry and Idempotency
• Resiliency/Circuit Breakers
• Policy and Enforcement
• Diagnostics
• Much as in the SOA days, new technologies are emerging to outsource
this complexity from applications: service meshes (Istio/Linkerd)

Copyright © 2018, Oracle and/or its affiliates. All rights reserved. |
Istio Service Mesh Architecture
12
https://istio.io/docs/concepts/what-is-istio/overview.html

Copyright © 2018, Oracle and/or its affiliates. All rights reserved. |
OSS SCS Demo
13

Copyright © 2018, Oracle and/or its affiliates. All rights reserved. |
Observability Tools SCS
14
Grafana Zipkin UI Vizceral
Vizceral MSMicroservices
UI

Copyright © 2018, Oracle and/or its affiliates. All rights reserved. |
API-First Lifecycle
15

Copyright © 2018, Oracle and/or its affiliates. All rights reserved. |
API-First DX: API Registry SCS
16
Registry UI
api-server
etcdData
Microservices
UI
converter mocker generator registry

Copyright © 2018, Oracle and/or its affiliates. All rights reserved. |
Q&A
17

Intuitive API design is a critical success factor for APIs. API-First propagates a collaborative approach, where API development starts with the design and brings various stakeholders together, which dramatically increases efficiency and consistency while defining APIs. Questions that that come up in this area are about quality requirements APIs have to meet nowadays, in order to deliver the desired business value. In this session we want to present an approach how APIs can be defined and implemented consistently using tools like Apiary and Apimatic and the design artifacts can be incorporated in existing CI/CD pipelines, using tools like Dredd, since APIs are a first-class citizen which need to be maintained appropriately.

API first Design and MicroservicesSven Bernhardt

Intuitive APIs are critical success factors for modern software architectures. APIs should be easy to use, difficult to misuse, consumer friendly, easy to maintain and consistently designed. In order to achieve these goals, it is important to develop APIs before starting the actual development and in a collaborative approach involving various stakeholders. This API-first design approach is important when it comes to exposing existing functionality in the enterprise, e.g. implemented as microservices, to the outside world. But what role do APIs play in microservice architectures? How are API and Microservice implementations combined and how do I integrate them with a DevOps approach? Questions answered in this session. A holistic development approach starting with API development up to the deployment of a microservice is considered. Tools such as Oracle Apiary, which support an API-first design approach or Oracle Wercker for the automation of build and deployment, will be presented.

Implementing API-led Cloud-native apps on OCISven Bernhardt

Presentation given at Oracle Groundbreakers APAC Tour 2020 talk. Find corresponding code sample at: https://github.com/svenbernhardt/employee-service-helidon-se Cloud-native is the way new applications should be built today. It doesn't matter here, if the application is going to be deployed in the Cloud or On-prem. The most important thing is that an application is applicable for getting the most out of the Cloud with respect to efficiency. APIs and Containers are essential building blocks of Cloud-native applications. As Cloud-native apps are driven by APIs, the development of such an app should start with defining the API in an API design-first approach. Within this session I'll give further insights into what makes Cloud-native development different from classical app development. Furthermore, we'll go through the respective development steps (API design, Service development, Deployment to OCI, API exposure) to make the session more practical. For exposing the app to the outside world OCI API Gateway will be used. The development of the Cloud-native app is done using Oracle's Microservice framework Helidon.

API design-first and MicroservicesSven Bernhardt

Intuitive APIs are critical success factors for modern software architectures. APIs should be easy to use, difficult to misuse, consumer friendly, easy to maintain and consistently designed. In order to achieve these goals, it is important to develop APIs before starting the actual development and in a collaborative approach involving various stakeholders. The API-first design approach is important when it comes to exposing existing functionality in the enterprise, e.g. implemented as microservices, to the outside world. But what role do APIs play in microservice architectures? How are APIs and microservices implementations combined and how do I integrate this with a DevOps approach? These questions will be answered in this session and explained on a consistent Microservice example. From a tooling perspective I leverage the power of Oracle Cloud with tools like Apiary, Oracle Kubernetes Engine (OKE), Wercker (aka Container Pipelines) and Oracle Container Registry.

Cloud-native Integration in the Oracle CloudSven Bernhardt

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The importance of APIs is increasing. Usually, API projects do not start on a green field. Often there's an existing, mostly monolithic application landscape, which needs to be embedded and integrated with new applications implemented in a Cloud-native fashion on new technologies like Kubernetes. The question is: Which principles must be considered to build a future-oriented, flexible API management platform? It is potentially not enough to simply work with a central, monolithic API gateway solutions. But, what requirements are placed on a modern API management platform? This session will give an introduction on how modern API architectures should be build, considering concepts like Microgateways, Ingress and Servicemesh.

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Presentation slides from DOAG conference 2020. API Gateway are already around for a while. With the rise of Microservices architectures and highly distributed architectures, new concepts like Service meshes arise. Since Service mesh and API Gateway implementations seem to have similar functionalities, we have to deal with questions wether to use the one or the other. But is it really an “or”? Maybe is it just another fallacy? In this session, I’ll explain basic concepts, common functionalities and differences for both concepts, to answer the question, if it’s complementary or excluding concepts? To make this session more practical, it’ll be supported by coding examples where certain aspects of the talk are shown based on Cloud-native example app that run upon OCI.

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Fn meetup by Sardar Jamal ArifOracle Developers

Get ready for_an_autonomous_data_driven_future_extOracle Developers

The document discusses Oracle's autonomous database technology. It summarizes that autonomous databases can self-drive, self-repair, and self-secure with reduced human labor. Machine learning is used to continuously optimize databases and adapt to changing workloads. This allows DBAs to focus on higher value tasks like innovation rather than maintenance operations. Oracle's autonomous database is presented as the world's first fully autonomous database.

Container Native Development Tools - Talk by Mickey BoxellOracle Developers

The document compares three container native development tools: Draft, Skaffold, and Tilt. The tools automate building, testing, and deploying containerized applications to Kubernetes clusters. Draft uses Helm under the hood, Skaffold offers flexible build and deploy options, and Tilt features a heads-up display and browser UI. The tools aim to streamline the development workflow for containerized applications on Kubernetes.

General Capabilities of GraalVM by Oleg Selajev @shelajevOracle Developers

Abstract: "General Capabilities of GraalVM" GraalVM project enhances the Java ecosystem with an integrated, polyglot, high-performance execution environment for dynamic, static, and native languages. GraalVM supports Java, Scala, Kotlin, Groovy, and other JVM-based languages. At the same time, it can run the dynamic scripting languages JavaScript including node.js, Ruby, R, and Python. In this session you'll see demos and learn what you can do with GraalVM, from using it as the JVM JIT compiler, enhancing the JIT, running native and polyglot programs, compiling them ahead of time for faster startup and lower runtime overhead, debugging your polyglot code using exact same tools for any language, to profiling performance and memory of your application and embedding GraalVM in a native application for portability. GraalVM offers you the opportunity to write the code in the language you want, which suits the problem the best, and run the resulting program really fast wherever you like: JVM, native code, even inside a database.

GraalVM Native Images by Oleg Selajev @shelajevOracle Developers

Abstract: "Performance with Native Images" GraalVM is a high-performance polyglot runtime for dynamic, static, and native languages. One of the abilities of GraalVM is to compile Java programs ahead of time into native images that offer performance comparable to running on the JVM but have instant startup times and much lower runtime overhead. Generating native images is proven to work on real-world applications. In this session, you will learn how native images work and what is required to generate them and will look at several examples of compiling programs ahead of time and packaging them into minimal containers. You’ll also see how to configure native image generation, work around the limitations, and configuring your application to use native images.

Serverless Patterns by Jesse ButlerOracle Developers

The document discusses serverless patterns and design. It begins with an overview of serverless computing and examples of how serverless architectures can be used to build web/mobile backends, extend existing applications, process streams/files in real-time, connect IoT devices, run batch jobs, and automate DevOps tasks. It then covers serverless concepts like events, execution models, and error handling. The document emphasizes that serverless applications should be broken into small, single-purpose functions and that functions should be separated and simplified for observability.

Java Library for High Speed Streaming Data Oracle Developers

This document summarizes a presentation on a Java library for high-speed streaming of data into databases. It discusses challenges with streaming data at scale and introduces Oracle's high speed streaming library, which uses direct path inserts and unified connection pooling to enable fast, scalable streaming. Code samples are provided for using the push and flow publisher APIs to ingest data streams into databases.

Artificial IntelligenceOracle Developers

The document introduces artificial intelligence and Oracle's AI strategy. It discusses how AI is being used across industries like consumer, healthcare and education. It outlines the core technologies behind AI like machine learning and deep learning. It also addresses both the promises and challenges of adopting AI in enterprises. Finally, it describes Oracle's approach to AI which includes ready-to-go applications, an AI platform to build models, and an autonomous database to support AI workloads.

Reactive Java Programming: A new Asynchronous Database Access API by Kuassi M...Oracle Developers

This document introduces ADBA, a new asynchronous API for connecting to databases in Java. Some key points: - ADBA is being developed by the JDBC Expert Group and Oracle to provide a non-blocking way to access databases that avoids blocking user threads. - It aims to have no blocking of user threads, minimize the number of threads used for database access, and target high throughput applications. - The API design uses types rigorously, builder patterns, fluent APIs, and immutability to avoid callback hell and only provide one way to do something. - It does not rely on or reference java.sql and avoids SQL processing by the driver when possible. -

Managing containers on Oracle Cloud by Jamal ArifOracle Developers

This document discusses containers, Kubernetes, and Oracle Cloud Infrastructure (OCI). It begins with an overview of containers and how they differ from virtual machines. It then discusses Kubernetes as an orchestration system for containers and how it manages scheduling, replication, discovery and more. The remainder of the document focuses on OCI's container engine for Kubernetes (OKE), including its architecture, pricing, integration with OCI services, and developer workflows. It concludes with a demo invitation and links to additional documentation.

North America November MeetupsOracle Developers

The document lists various technology meetup groups happening between November 1-27, 2018 in different cities across the US. It provides details of each meetup such as date, location, topic, speakers and link for each meetup event. A total of 11 meetup groups are listed covering topics like blockchain, infrastructure, machine learning, chatbots, Java and more. The meetups are taking place in cities including Santa Clara, San Francisco, Seattle, Washington DC and others.

GraphPipe - Blazingly Fast Machine Learning Inference by Vish AbramsOracle Developers

North America Meetups in September Oracle Developers

The document lists various North American meetup events scheduled for September 2018 related to emerging technologies like AI, blockchain, and cloud computing. Some notable events include a workshop on building chatbots in Palo Alto on September 24th with 150 expected attendees, an AI and chatbots meetup in Santa Clara on September 18th with 100 attendees, and a blockchain conference in San Francisco on October 1st focused on enterprise adoption with 200 expected participants. The meetups cover topics such as building chatbots, blockchain applications for business, cloud infrastructure best practices, and running serverless applications on Oracle Cloud.

Introduction to the Oracle Container EngineOracle Developers

This document discusses Oracle Cloud Infrastructure Container Engine for Kubernetes (OKE). It provides background on the speaker Jon Reeve and his experience with containers. It describes Oracle's acquisition of StackEngine, a Docker management company. It outlines the phases of container adoption and positions Docker and Kubernetes as popular tools. It provides an overview of OCI and OKE, highlighting OKE's developer-friendly and enterprise-ready features like one-click clusters, integrated plugins, and team-based access controls. Pricing is discussed where OKE and OCIR consume underlying IaaS resources at no additional cost.

Oracle Data Science PlatformOracle Developers

Persistent storage with containers By Kaslin FieldsOracle Developers

The document discusses persistent storage options for immutable containers in Docker and Kubernetes. It describes how containers should be immutable and never change, with data stored separately in volumes. It provides examples of using Docker volumes and Kubernetes persistent volumes to store data externally to containers. Finally, it offers guidelines for when it may or may not be suitable to run databases in containers depending on application needs.

The Fn Project by Jesse ButlerOracle Developers

The document discusses the Fn Project, an open source serverless computing platform. It is cloud agnostic and aims to democratize serverless computing. Key points include that Fn uses containers as functions, supports multiple programming languages and frameworks, and can run on a user's own infrastructure or clouds. It also has features for operators like load balancing, metrics, and optimization for Kubernetes.

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4. Copyright © 2018, Oracle and/or its affiliates. All rights reserved. | Self-contained Systems (SCS) 4 An SCS contains its own user interface, specific business logic and separate data storage http://scs-architecture.org/

5. Copyright © 2018, Oracle and/or its affiliates. All rights reserved. | Self-contained Systems (SCS) 5 The business logic can consist of microservices to solve domain specific problems. http://scs-architecture.org/

6. Copyright © 2018, Oracle and/or its affiliates. All rights reserved. | Self-contained Systems (SCS) 6 Inside of a self-contained system a bunch of technical decisions can be made independently from other systems, such as programming language, frameworks, tooling or workflow. http://scs-architecture.org/

7. Copyright © 2018, Oracle and/or its affiliates. All rights reserved. | Self-contained Systems (SCS) 7 Self-contained Systems should be integrated over their web interfaces to minimize coupling to other systems. http://scs-architecture.org/

11. Copyright © 2018, Oracle and/or its affiliates. All rights reserved. | Today’s problems with container native development 11 COMMON API AND SERVICES CI/CD MANAGED KUBERNETES JAVA MICRO SERVICES DIAGNOSTICS • Kubernetes (K8S) provides application infrastructure for modern cloud- native applications, but leaves much of distributed system management to application authors: • Rapid Prototyping • Service/API Discovery • Back off/Retry and Idempotency • Resiliency/Circuit Breakers • Policy and Enforcement • Diagnostics • Much as in the SOA days, new technologies are emerging to outsource this complexity from applications: service meshes (Istio/Linkerd)

Editor's Notes

#4: https://articles.microservices.com/monolithic-vs-microservices-architecture-5c4848858f59

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