Microservices with Spring Cloud, Netflix OSS and Kubernetes
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Spring Cloud/Netflix OSS way of building microservices on Kubernetes -- preso from Spring One Platform 2016
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KubeCon NA 2018: Evolution of Integration and Microservices with Service Mesh...
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Integration in the Age of DevOps
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Openstack - An introduction/Installation - Presented at Dr Dobb's conference...Rahul Krishna Upadhyaya Slide was presented at Dr. Dobb's Conference in Bangalore.
Talks about Openstack Introduction in general
Projects under Openstack.
Contributing to Openstack.
This was presented jointly by CB Ananth and Rahul at Dr. Dobb's Conference Bangalore on 12th Apr 2014.
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What Istio Got Wrong: Learnings from the last seven years of service mesh
What Istio Got Wrong: Learnings from the last seven years of service meshChristian Posta Building complex systems often requires simplicity in components—a lesson the Istio project has learned throughout its seven(plus)-year journey. Although Istio offers a lot of powerful features for application networking, crucial for many organizations, the path to maturity and broader adoption was fraught with challenges. In this talk, we explore the key mistakes made during Istio's development, including its initially complex architecture, an overload of features, premature release of version 1.0, difficulties faced by contributors, and delays in joining the CNCF. We will discuss the impact of these mistakes, how these missteps were addressed, and how they have positioned Istio as a leader in the service mesh market. This presentation will detail how Istio's evolution reflects a shift towards simpler, more modular components that together offer effective solutions for managing APIs and service-to-service communication regardless of platform.
Move Auth, Policy, and Resilience to the Platform
Move Auth, Policy, and Resilience to the PlatformChristian Posta Developer's time is the most crucial resource in an enterprise IT organization. Too much time is spent on undifferentiated heavy lifting and in the world of APIs and microservices much of that is spent on non-functional, cross-cutting networking requirements like security, observability, and resilience.
As organizations reconcile their DevOps practices into Platform Engineering, tools like Istio help alleviate developer pain. In this talk we dig into what that pain looks like, how much it costs, and how Istio has solved these concerns by examining three real-life use cases. As this space continues to emerge, and innovation has not slowed, we will also discuss the recently announced Istio sidecar-less mode which significantly reduces the hurdles to adopt Istio within Kubernetes or outside Kubernetes.
Comparing Sidecar-less Service Mesh from Cilium and Istio
Comparing Sidecar-less Service Mesh from Cilium and IstioChristian Posta Service mesh is a powerful pattern for implementing strong zero-trust networking practices, introducing better network observability, and allowing for more fine-grained traffic control. Up until now, the sidecar pattern was used to implement service-mesh capability but as the technology matures, a new pattern has emerged: sidecarless service mesh. Two prominent open-source networking projects, Cilium and Istio, have implemented a sidecar-free approach to service mesh but they both make interesting design decisions and tradeoffs. In this talk we review the architecture of both, focusing on the pros and cons of implementations such as mutual authentication, ingress, and observability.
Understanding Wireguard, TLS and Workload Identity
Understanding Wireguard, TLS and Workload IdentityChristian Posta Zero Trust Networking has become a standard marketing buzzword but the underlying principles are critical for modern microservice-style architectures. Authentication, authorizations, policy, etc. can be difficult to implement between services and do so in a maintainable way. Google invented their own transparent encryption and authorization protocol called "ALTS" back in 2007 to serve the application layer of Google's Borg workload scheduler, but we don't see others using it outside Google.
In this webinar we look at existing technology like TLS and newcomer Wireguard and see how these technologies come together to provide a secure foundation for workload identity and modern service-to-service networking.
Compliance and Zero Trust Ambient Mesh
Compliance and Zero Trust Ambient MeshChristian Posta Istio ambient mesh uses a sidecar-less data plane that focuses on ease of operations, incremental adoption, and separation of security boundaries for applications and mesh infrastructure.
In this webinar, we'll explore:
- The forces of modernization and compliance pressures,
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Cilium + Istio with Gloo Mesh
Cilium + Istio with Gloo MeshChristian Posta The document discusses Cilium and Istio with Gloo Mesh. It provides an overview of Gloo Mesh, an enterprise service mesh for multi-cluster, cross-cluster and hybrid environments based on upstream Istio. Gloo Mesh focuses on ease of use, powerful best practices built in, security, and extensibility. It allows for consistent API for multi-cluster north-south and east-west policy, team tenancy with service mesh as a service, and driving everything through GitOps.
Multi-cluster service mesh with GlooMesh
Multi-cluster service mesh with GlooMeshChristian Posta This document discusses service mesh patterns for connecting microservices across multiple clusters. It describes using Envoy proxy to provide service discovery, load balancing, security and resiliency. Patterns are presented for connecting services across clusters with flat, controlled or separate networks. Managing connectivity across clusters can increase operator burden. Gloo Mesh is presented as a way to simplify management across multiple clusters with a centralized control plane.
Multicluster Kubernetes and Service Mesh Patterns
Multicluster Kubernetes and Service Mesh PatternsChristian Posta Building applications for cloud-native infrastructure that are resilient, scalable, secure, and meet compliance and IT objectives gets complicated. Another wrinkle for the organizations with which we work is the fact they need to run across a hybrid deployment footprint, not just Kubernetes. At Solo.io, we build application networking technology on Envoy Proxy that helps solve difficult multi-deployment, multi-cluster, and even multi-mesh problems.
In this webinar, we’re going to explore different options and patterns for building secure, scalable, resilient applications using technology like Kubernetes and Service Mesh without leaving behind existing IT investments. We’ll see why and when to use multi-cluster topologies, how to build for high availability and team autonomy, and solve for things like service discovery, identity federation, traffic routing, and access control.
Cloud-Native Application Debugging with Envoy and Service Mesh
Cloud-Native Application Debugging with Envoy and Service MeshChristian Posta Microservices have been great for accelerating the software innovation and delivery, but they also present new challenges, especially as abstractions and automated orchestration at every layer make pinpointing the issue seem like walking around a maze with a blindfold. Existing tools weren’t designed for distributed environments, and the new tools need to consider how to leverage these abstraction layers to better observe, test, and troubleshoot issues.
Christian Posta walks you through Envoy Proxy and service mesh architecture for L7 data plane, the key features in Envoy that can help in debugging and troubleshooting, chaos engineering as a testing methodology for microservices, how to approach a testing and debugging framework for microservices, and new open source tools that address these areas. You’ll explore a workflow to discover and resolve microservices issues, including injecting experiments for stress testing the applications, gathering requests in flight, recording and replaying them, and debugging them step by step without affecting production traffic.
Kubernetes Ingress to Service Mesh (and beyond!)
Kubernetes Ingress to Service Mesh (and beyond!)Christian Posta Kubernetes users need to allow traffic to flow into and within the cluster. Treating the application traffic separately from the business logic allows presents new possibilities in how service to service traffic is served, controlled and observed — and provides a transition to intra cluster networking like Service Mesh. With microservices, there is a concept of both North / South traffic (incoming requests from end users to the cluster) and East / West (intra cluster) communication between the services. In this talk we will explain how Envoy Proxy works in Kubernetes as a proxy for both of these traffic directions and how it can be leveraged to do things like traffic shaping, security, and integrate the north/south to east/west behavior.
Christian Posta (@christianposta) is Global Field CTO at Solo.io, former Chief Architect at Red Hat, and well known in the community for being an author (Istio in Action, Manning, Istio Service Mesh, O'Reilly 2018, Microservices for Java Developers, O’Reilly 2016), frequent blogger, speaker, open-source enthusiast and committer on various open-source projects including Istio, Kubernetes, and many others. Christian has spent time at both enterprises as well as web-scale companies and now helps companies create and deploy large-scale, cloud-native resilient, distributed architectures. He enjoys mentoring, training and leading teams to be successful with distributed systems concepts, microservices, devops, and cloud-native application design.
The Truth About the Service Mesh Data Plane
The Truth About the Service Mesh Data PlaneChristian Posta The exploration of service mesh for any organization comes with some serious questions. What data plane should I use? How does this tie in with my existing API infrastructure? What kind of overhead do sidecar proxies demand? As I've seen in my work with various organizations over the years "if you have a successful microservices deployment, then you have a service mesh whether it’s explicitly optimized as one or not."
In this talk, we seek to understand the role of the data plane and how to pick the right component for the problem context. We start off by establishing the spectrum of data-plane components from shared gateways to in-code libraries with service proxies being along that spectrum. We clearly identify which scenarios would benefit from which part of the data-plane spectrum and show how modern service meshes including Istio, Linkerd, and Consul enable these optimizations.
Deep Dive: Building external auth plugins for Gloo Enterprise
Deep Dive: Building external auth plugins for Gloo EnterpriseChristian Posta Using the plugin framework for Ext. Auth Service in Gloo Enterprise, we can build any custom AuthN/AuthZ plugins to handle security requirements not provided out of the box.
Role of edge gateways in relation to service mesh adoption
Role of edge gateways in relation to service mesh adoptionChristian Posta
API Gateways provide functionality like rate limiting, authentication, request routing, reporting, and more. If you’ve been following the rise in service-mesh technologies, you’ll notice there is a lot of overlap with API Gateways when solving some of the challenges of microservices. If service mesh can solve these same problems, you may wonder whether you really need a dedicated API Gateway solution?
The reality is there is some nuance in the problems solved at the edge (API Gateway) compared to service-to-service communication (service mesh) within a cluster. But with the evolution of cluster-deployment patterns, these nuances are becoming less important. What’s more important is that the API Gateway is evolving to live at a layer above service mesh and not directly overlapping with it. In other words, API Gateways are evolving to solve application-level concerns like aggregation, transformation, and deeper context and content-based routing as well as fitting into a more self-service, GitOps style workflow.
In this talk we put aside the “API Gateway” infrastructure as we know it today and go back to first principles with the “API Gateway pattern” and revisit the real problems we’re trying to solve. Then we’ll discuss pros and cons of alternative ways to implement the API Gateway pattern and finally look at open source projects like Envoy, Kubernetes, and GraphQL to see how the “API Gateway pattern” actually becomes the API for our applications while coexisting nicely with a service mesh (if you adopt a service mesh).
Navigating the service mesh landscape with Istio, Consul Connect, and Linkerd
Navigating the service mesh landscape with Istio, Consul Connect, and LinkerdChristian Posta The document discusses various service mesh options including Linkerd, Consul Connect, Istio, and AWS App Mesh. It provides an overview of each solution, describing their key features and strengths/opportunities. It emphasizes that the service mesh approach is useful for managing inter-service communication and that implementations are still evolving. It recommends starting simply and iteratively adopting capabilities to match needs.
Chaos Debugging for Microservices
Chaos Debugging for MicroservicesChristian Posta Distributed microservices introduce new challenges: failure modes are harder to anticipate and resolve. In this session, we present a “Chaos Debugging” framework enabled by three open source projects: Gloo Shot, Squash, and Loop to help you increase your microservices’ “immunity” to issues.
Gloo Shot integrates with any service mesh to implement advanced, realistic chaos experiments. Squash connects powerful and mature debuggers (gdb, dlv, java debugging) to your microservices while they run in Kubernetes. Loop extends the capability of your service mesh to observe your application and record full transactions for sandboxed replay and debugging.
Come to this demo-heavy talk to see how together, Squash, Gloo Shot, and Loop allow you to trigger, replay, and investigate failure modes of your microservices in a language agnostic and efficient manner without requiring any changes to your code.
Leveraging Envoy Proxy and GraphQL to Lower the Risk of Monolith to Microserv...
Leveraging Envoy Proxy and GraphQL to Lower the Risk of Monolith to Microserv...Christian Posta If you have an existing Java monolith, you know you must take care making changes to it or altering it in any negative way. Often times these monoliths are very valuable to the business and generate a lot of revenue. At the same time, since it’s difficult to make changes to the monolith it’s desirable to move to a microservices architecture. Unfortunately you cannot just do a big-bang migration to a greenfield architecture and will have to incrementally adopt microservices. In this talk, we’ll look at using Gloo proxy which is based on Envoy Proxy and GraphQL to do surgical, function-level traffic control and API aggregation to safely migrate your monolith to microservices and serverless functions.
Service-mesh options with Linkerd, Consul, Istio and AWS AppMesh
Service-mesh options with Linkerd, Consul, Istio and AWS AppMeshChristian Posta Service mesh abstracts the network from developers to solve three main pain points:
How do services communicate securely with one another
How can services implement network resilience
When things go wrong, can we identify what and why
Service mesh implementations usually follow a similar architecture: traffic flows through control points between services (usually service proxies deployed as sidecar processes) while an out-of-band set of nodes is responsible for defining the behavior and management of the control points. This loosely breaks out into an architecture of a "data plane" through which requests flow and a "control plane" for managing a service mesh.
Different service mesh implementations use different data planes depending on their use cases and familiarity with particular technology. The control plane implementations vary between service-mesh implementations as well. In this talk, we'll take a look at three different control plane implementations with Istio, Linkerd and Consul, their strengths, and their specific tradeoffs to see how they chose to solve each of the three pain points from above. We can use this information to make choices about a service mesh or to inform our journey if we choose to build a control plane ourselves.
Intro Istio and what's new Istio 1.1
Intro Istio and what's new Istio 1.1Christian Posta The document summarizes the new features of Istio 1.1, an open-source service mesh. Some key highlights include improved performance and scalability, namespace isolation, multi-cluster capabilities, easier installation with Helm, and locality-aware load balancing. A new Sidecar resource was introduced to improve performance by configuring resources for individual proxies. The presentation demonstrates performance improvements with the Sidecar resource and highlights additional functionality in Istio like traffic control and metrics collection.
API Gateways are going through an identity crisis
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The reality is there is some nuance in the problems solved at the edge (API Gateway) compared to service-to-service communication (service mesh) within a cluster. But with the evolution of cluster-deployment patterns, these nuances are becoming less important. What's more important is that the API Gateway is evolving to live at a layer above service mesh and not directly overlapping with it. In other words, API Gateways are evolving to solve application-level concerns like aggregation, transformation, and deeper context and content-based routing as well as fitting into a more self-service, GitOps style workflow.
In this talk we put aside the "API Gateway" infrastructure as we know it today and go back to first principles with the "API Gateway pattern" and revisit the real problems we're trying to solve. Then we'll discuss pros and cons of alternative ways to implement the API Gateway pattern and finally look at open source projects like Envoy, Kubernetes, and GraphQL to see how the "API Gateway pattern" actually becomes the API for our applications while coexisting nicely with a service mesh (if you adopt a service mesh).
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Reads the bytecode and converts it into machine code specific to the host machine.
It performs memory management, garbage collection, and handles execution.
4. Java Runtime Environment (JRE)
Provides the environment required to run Java applications.
It includes JVM + Java libraries + runtime components.
5. Java Development Kit (JDK)
Includes the JRE and development tools like the compiler, debugger, etc.
Required for developing Java applications.
Key Features of JVM
Performs just-in-time (JIT) compilation.
Manages memory and threads.
Handles garbage collection.
JVM is platform-dependent, but Java bytecode is platform-independent.
Java Classes and Objects
What is a Class?
A class is a blueprint for creating objects.
It defines properties (fields) and behaviors (methods).
Think of a class as a template.
What is an Object?
An object is a real-world entity created from a class.
It has state and behavior.
Real-life analogy: Class = Blueprint, Object = Actual House
Class Methods and Instances
Class Method (Static Method)
Belongs to the class.
Declared using the static keyword.
Accessed without creating an object.
Instance Method
Belongs to an object.
Can access instance variables.
Inheritance in Java
What is Inheritance?
Allows a class to inherit properties and methods of another class.
Promotes code reuse and hierarchical classification.
Types of Inheritance in Java:
1. Single Inheritance
One subclass inherits from one superclass.
2. Multilevel Inheritance
A subclass inherits from another subclass.
3. Hierarchical Inheritance
Multiple classes inherit from one superclass.
Java does not support multiple inheritance using classes to avoid ambiguity.
Polymorphism in Java
What is Polymorphism?
One method behaves differently based on the context.
Types:
Compile-time Polymorphism (Method Overloading)
Runtime Polymorphism (Method Overriding)
Method Overloading
Same method name, different parameters.
Method Overriding
Subclass redefines the method of the superclass.
Enables dynamic method dispatch.
Interface in Java
What is an Interface?
A collection of abstract methods.
Defines what a class must do, not how.
Helps achieve multiple inheritance.
Features:
All methods are abstract (until Java 8+).
A class can implement multiple interfaces.
Interface defines a contract between unrelated classes.
Abstract Class in Java
What is an Abstract Class?
A class that cannot be instantiated.
Used to provide base functionality and enforce
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Microservices with Spring Cloud, Netflix OSS and Kubernetes
- 1. Real-World Microservices with Spring Cloud, Netflix OSS and Kubernetes Spring One Platform 8/3/16 Christian Posta @christianposta
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- 3. People try to copy Net,lix, but they can only copy what they see. They copy the results, not the process. Adrian Cockcroft, former Chief Cloud Architect, Netflix
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