This document discusses Istio, an open source service mesh that provides traffic management, telemetry and security for microservices applications on Kubernetes. It introduces key Istio concepts like the sidecar proxy Envoy, the control plane components Pilot, Mixer and Citadel, and how they work together to provide service discovery, load balancing, failure recovery, access control and other capabilities across microservices. The presentation concludes with an offer to demonstrate Istio's features in more depth.
Service Mesh. What does it mean? We have already learned Microservices and can develop complex distributed applications. Is Service Mesh something we need or is another fancy buzzword?
This presentation walks through the evolution of application architecture from Monolith to Service Mesh to give an idea of what a Service Mesh is, how it is applied to existing architectures and is focused help you to understand if you really need it.
The document provides an overview of Kubernetes networking concepts including single pod networking, pod to pod communication, service discovery and load balancing, external access patterns, network policies, Istio service mesh, multi-cluster networking, and best practices. It covers topics such as pod IP addressing, communication approaches like L2, L3, overlays, services, ingress controllers, network policies, multi-cluster use cases and deployment options.
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.
Istio is a service mesh, and it's a cool new project from Google, IBM, Lyft and others. This talk describes at a high level how Istio works as a sidecar, and how it works great with Weave Cloud, which provides visualization to understand what's going on when you deploy Istio, and long-term Prometheus metrics storage with its built-in Prometheus service.
Kubernetes is an open-source system for automating deployment, scaling, and management of containerized applications. It groups containers that make up an application into logical units for easy management and discovery called pods. Its main components include a master node that manages the cluster and worker nodes that run the applications. It uses labels to identify pods and services and selectors to group related pods. Common concepts include deployments for updating apps, services for network access, persistent volumes for storage, and roles/bindings for access control. The deployment process involves the API server, controllers, scheduler and kubelet to reconcile the desired state and place pods on nodes from images while providing discovery and load balancing.
Comparison of Current Service Mesh ArchitecturesMirantis
Learn the differences between Envoy, Istio, Conduit, Linkerd and other service meshes and their components. Watch the recording including demo at: https://info.mirantis.com/service-mesh-webinar
There is a lot of talk now around the term Service Mesh. The hype is high and the promise is real. The problem is that there is not really a good definition of what service mesh really is. In this talk we are going to review the problem service meshes are trying to solve, name the core components that make up a service mesh, and discuss the benefits an organization can receive by implementing this new technology.
This document provides an overview of service mesh and the Istio observability tool Kiali. It begins with an introduction to service mesh and what problems it addresses in microservices architectures. Istio is presented as an open source service mesh that provides traffic management, observability, and policy enforcement for microservices. Kiali is specifically discussed as a tool for visualizing the topology and traffic flow of services in an Istio mesh. The rest of the document provides an agenda and then a live demo of Kiali's features using the Bookinfo sample application on Istio.
Kubernetes: A Short Introduction (2019)Megan O'Keefe
Kubernetes is an open-source system for automating deployment, scaling, and management of containerized applications. It groups containers that make up an application into logical units for easy management and discovery called pods. Kubernetes can manage pods across a cluster of machines, providing scheduling, deployment, scaling, load balancing, volume mounting and networking. It is widely used by companies like Google, CERN and in large projects like processing images and analyzing particle interactions. Kubernetes is portable, can span multiple cloud providers, and continues growing to support new workloads and use cases.
Kubernetes Concepts And Architecture Powerpoint Presentation SlidesSlideTeam
The document provides an overview of Kubernetes concepts and architecture. It begins with an introduction to containers and microservices architecture. It then discusses what Kubernetes is and why organizations should use it. The remainder of the document outlines Kubernetes components, nodes, development processes, networking, and security measures. It provides descriptions and diagrams explaining key aspects of Kubernetes such as architecture, components like Kubelet and Kubectl, node types, and networking models.
Kubernetes has two simple but powerful network concepts: every Pod is connected to the same network, and Services let you talk to a Pod by name. Bryan will take you through how these concepts are implemented - Pod Networks via the Container Network Interface (CNI), Service Discovery via kube-dns and Service virtual IPs, then on to how Services are exposed to the rest of the world.
Prometheus was recently accepted into the Cloud Native Computing Foundation, making it the second project after Kubernetes to be given their blessing and acknowledging that Prometheus and Kubernetes make an awesome combination. In this talk we'll cover common patterns for running Prometheus on Kubernetes, how to monitor services on Kubernetes, and some cool tips and hacks to ensure you get the most out of your Prometheus + Kubernetes deployment.
** Kubernetes Certification Training: https://www.edureka.co/kubernetes-certification **
This Edureka tutorial on "Kubernetes Architecture" will give you an introduction to popular DevOps tool - Kubernetes, and will deep dive into Kubernetes Architecture and its working. The following topics are covered in this training session:
1. What is Kubernetes
2. Features of Kubernetes
3. Kubernetes Architecture and Its Components
4. Components of Master Node and Worker Node
5. ETCD
6. Network Setup Requirements
DevOps Tutorial Blog Series: https://goo.gl/P0zAfF
Hands-On Introduction to Kubernetes at LISA17Ryan Jarvinen
This document provides an agenda and instructions for a hands-on introduction to Kubernetes tutorial. The tutorial will cover Kubernetes basics like pods, services, deployments and replica sets. It includes steps for setting up a local Kubernetes environment using Minikube and demonstrates features like rolling updates, rollbacks and self-healing. Attendees will learn how to develop container-based applications locally with Kubernetes and deploy changes to preview them before promoting to production.
This document provides an overview of GitOps and summarizes a training session on the topic. The session covered Kubernetes and Git basics, the motivation and model for GitOps, an example of GitOps in action using Flux on a training environment, progressive delivery techniques like Flagger, and challenges with GitOps adoption. The goals were to explain what GitOps is, understand benefits, gain hands-on experience, and decide if it's right for a team/project. GitOps aims to use Git as the single source of truth for infrastructure and automate deployments by reconciling production with the code repository.
This document provides an overview of Kubernetes including:
1) Kubernetes is an open-source platform for automating deployment, scaling, and operations of containerized applications. It provides container-centric infrastructure and allows for quickly deploying and scaling applications.
2) The main components of Kubernetes include Pods (groups of containers), Services (abstract access to pods), ReplicationControllers (maintain pod replicas), and a master node running key components like etcd, API server, scheduler, and controller manager.
3) The document demonstrates getting started with Kubernetes by enabling the master on one node and a worker on another node, then deploying and exposing a sample nginx application across the cluster.
Helm is a package manager for Kubernetes that allows for easy installation, upgrade, and management of Kubernetes applications. It provides repeatability, reliability, and simplifies deploying applications across multiple Kubernetes environments. Helm originated from an internal hackathon at Deis and was jointly developed by Google and Deis. It is now maintained by the Cloud Native Computing Foundation. Helm consists of a client that interacts with the Tiller server running inside the Kubernetes cluster to manage application lifecycles using charts, which are packages containing Kubernetes resource definitions.
Video and slides synchronized, mp3 and slide download available at URL http://bit.ly/2mcpD5B.
Oliver Gould talks about the Linkerd project, a service mesh hosted by the Cloud Native Computing Foundation, to give operators control over the traffic between their microservices. He shares the lessons they've learned helping dozens of organizations get to production with Linkerd and how they've applied these lessons to tackle complexity with Linkerd. Filmed at qconnewyork.com.
Oliver Gould is co-founder and CTO at Buoyant, Inc.
Istio Triangle Kubernetes Meetup Aug 2019Ram Vennam
It's been two years since we introduced the Istio project to the Triangle Kubernetes Meetup group. This presentation will be a brief re-introduction of the Istio project, and a summary of the updates to the Istio project since its 1.0 release.
Agile integration: Decomposing the monolith Judy Breedlove
This document discusses strategies for decomposing monolithic applications into microservices and ensuring resilience of the resulting microservices architecture. It covers decomposing monoliths using API-first and single responsibility principles. Managing the complex microservices architecture requires approaches for cross-cutting concerns like fault tolerance, traffic management, policy enforcement, distributed tracing, and infrastructure concerns like circuit breaking. A service mesh like Istio deployed as sidecars can provide a communications control plane for traffic management, policy enforcement, and distributed tracing between microservices.
This document discusses end-to-end security in mobile cloud computing. It defines mobile cloud computing and explains its advantages over mobile devices alone. The document outlines challenges to end-to-end security in service-oriented architectures and mobile cloud computing. It proposes a security framework that uses taint analysis and aspect-oriented programming to monitor service executions and detect unauthorized external service invocations. A trust broker would maintain trust sessions and evaluate the trustworthiness of services to ensure end-to-end security.
Service mesh from linkerd to conduit (cloud native taiwan meetup)Chia-Chun Shih
A service mesh is a dedicated infrastructure layer that handles communication between microservices. It provides reliable delivery of requests through complex application topologies using lightweight proxies deployed alongside application code without requiring code changes. Popular service meshes include Linkerd, the first service mesh, Conduit, a new ultralight service mesh from the creators of Linkerd, and Istio, a more full-featured service mesh.
This document provides an overview of service meshes and Istio. It defines what a service mesh is and describes some of its key capabilities like service discovery, load balancing, and observability. It then discusses Istio and how it works with Kubernetes as a service mesh. Istio's architecture is explained, including its control plane components like Pilot and data plane component Envoy. Lastly, it covers Istio deployment models and provides a case study on mesh federation.
Introduction of the Red Hat OpenShift Service Mesh. What are service meshes? What is the difference between the Red Hat OpenShift Service Mesh and Istio?
Istio as an Enabler for Migrating Monolithic Applications to Microservices v1.3Ahmed Misbah
Migrating application architectures to microservices is considered a key area of transformation in the IT world. Modernizing legacy applications to Kubernetes-based microservices can prove to be very challenging if not planned correctly, taking into consideration the right technologies and enablers.
This session explains how Istio can be used as an enabler for modernizing legacy monolithic applications to microservices. Topics covered in the presentation will include:
1- Advantages of migrating to microservices and service mesh
2- Designing a microservice application based on splitting an existing monolithic application
3- Implementing microservices iteratively as a strangler fig application with Istio
This presentation was made by Mangesh Patankar (Developer Advocate - IBM Cloud) as part of Container Conference 2018: www.containerconf.in.
"How do we make microservices resilient and fault-tolerant? How do we enforce policy decisions, such as fine-grained access control and rate limits? How do we enable timeouts/retries, health checks, etc.?
A service-mesh architecture attempts to resolve these issues by extracting the common resiliency features needed by a microservices framework away from the applications and frameworks and into the platform itself. Istio provides an easy way to create this service mesh."
[APIdays Paris 2019] API Management in Service Mesh Using Istio and WSO2 API ...WSO2
Stefano discusses how to augment service mesh functionality with API management capabilities, so you can create an end-to-end solution for your entire business functionality — from microservices, to APIs, to end-user applications.
This document discusses moving a microservices architecture to the next level with service meshes. It introduces Istio as a service mesh for Kubernetes that provides traffic management, observability, and security capabilities. Istio uses the sidecar proxy pattern to enable features like mutual TLS, timeouts, retries, and circuit breakers to help solve challenges of microservices distribution like service discovery, load balancing, and failure handling. The document demonstrates Istio's capabilities and recommends adopting its features incrementally to gain experience before fully implementing a service mesh.
Managing microservices with Istio Service MeshRafik HARABI
Developing and managing hundreds (or maybe thousands) of microservices at scale is a challenge for both development and operations teams.
We have seen over the last years the appearance of new frameworks dedicated to deliver ‘Cloud Native’ applications by providing a set of (out of box) building blocks. Most of these frameworks integrate microservices concerns at the code level.
Recently, we have seen the emerging of a new pattern known as sidecar or proxy promoting to push all these common concerns outside of the business code and provides them on the edge by integrate a new layer to the underlying platform called Service Mesh.
Istio is one of the leading Service Mesh implementing sidecar pattern.
We will go during the presentation throw the core concepts behind Istio, the capabilities that provides to manage, secure and observe microservices and how it gives a new breath for both developers and operations.
The presentation will be guided by a sequence of demo exposing Istio capabilities.
10.78.56.209
Service Identifier: 20
Service Group: 10.78.56.164
Number of Packets Redirected: 0
Number of Connections Established: 0
Number of Packets Denied: 0
Number of Packets Unassigned: 0
Number of Packets Unassigned NAT: 0
Number of Packets Unassigned Non-NAT: 0
Number of Packets Unassigned All: 0
Number of Packets Unassigned NAT All: 0
Number of Packets Unassigned Non-NAT All: 0
Number of Packets Received: 0
Number of Authentication failures: 0
Number of Bypassed Pack
Istio: Using nginMesh as the service proxyLee Calcote
With microservices and containers becoming mainstream, container orchestrators provide much of what the cluster (nodes and containers) needs. With container orchestrators' core focus on scheduling, discovery, and health at an infrastructure level, microservices are left with unmet, service-level needs, such as:
- Traffic management, routing, and resilient and secure communication between services
- Policy enforcement, rate-limiting, circuit breaking
- Visibility and monitoring with metrics, logs, and traces
- Load balancing and rollout/canary deployment support
Service meshes provide for these needs. In this session, we will dive into Istio - its components, capabilities, and extensibility. Istio envelops and integrates with other open source projects to deliver a full-service mesh. We'll explore these integrations and Istio's extensibility in terms of choice of proxies and adapters, such as nginMesh.
This document discusses how to download and play the mobile game Subway Surfers on a personal computer. It describes using BlueStacks, an Android emulator, to install and run the game normally played on phones and tablets. BlueStacks allows users to access Google Play to download Subway Surfers and other Android apps. Once installed through BlueStacks, the game can be played offline on a PC like a mobile game, allowing users to enjoy Subway Surfers on a larger screen without being limited to a phone.
Visualize and secure your service mess with Red Hat OpenShift Service MeshJordi Sola
Webinar record available at https://www.redhat.com/en/events/webinar/visualize-and-secure-your-service-mess-red-hat-openshift-service-mesh
Microservices architectures present many inherent challenges. From the dependencies between services to the chain of internal and external calls. From performance analysis to encryption techniques.
Red Hat® OpenShift® Service Mesh provides an all-in-one solution for most of those challenges, covering services with a layer (the mesh) that allows you to control, monitor, and enhance your services. This layer faces those challenges without the need for code changes, allowing services to focus on business value and providing proven solutions.
This webinar explains how to install OpenShift Service Mesh in your OpenShift cluster and apply its main components to visualize services interactions. We will also cover how OpenShift Service Mesh can harden security on your microservices without changing a single line of code.
OpenShift Service Mesh technology uses and orchestrates several open source products:
Istio controls the service mesh and communications between microservices.
Kiali generates a live graph representation of the microservices and their interactions.
Jaeger generates traces of calls through the service mesh.
Prometheus and Graphana monitor and display performance and status of the services.
In this webinar we will:
Install Red Hat OpenShift Service Mesh using Red Hat operators.
Visualize your service mesh with Kiali and Jaeger.
Observe service mesh status with Prometheus and Graphana.
Secure communications between services with Istio.
The document discusses various concepts and patterns related to microservices architecture using Spring, including:
- Microservices provide loosely coupled services with distributed architecture compared to monolithic applications.
- Spring Boot Actuator provides endpoints for monitoring microservice health and metrics.
- Service discovery tools like Eureka and Consul allow services to register and discover each other.
- Other patterns and tools discussed include API gateways, configuration management, circuit breakers, load balancing, messaging queues, REST client generation, and security.
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Software development... for all? (keynote at ICSOFT'2024)miso_uam
Our world runs on software. It governs all major aspects of our life. It is an enabler for research and innovation, and is critical for business competitivity. Traditional software engineering techniques have achieved high effectiveness, but still may fall short on delivering software at the accelerated pace and with the increasing quality that future scenarios will require.
To attack this issue, some software paradigms raise the automation of software development via higher levels of abstraction through domain-specific languages (e.g., in model-driven engineering) and empowering non-professional developers with the possibility to build their own software (e.g., in low-code development approaches). In a software-demanding world, this is an attractive possibility, and perhaps -- paraphrasing Andy Warhol -- "in the future, everyone will be a developer for 15 minutes". However, to make this possible, methods are required to tweak languages to their context of use (crucial given the diversity of backgrounds and purposes), and the assistance to developers throughout the development process (especially critical for non-professionals).
In this keynote talk at ICSOFT'2024 I presented enabling techniques for this vision, supporting the creation of families of domain-specific languages, their adaptation to the usage context; and the augmentation of low-code environments with assistants and recommender systems to guide developers (professional or not) in the development process.
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2. Hello!
I am Natanael Fonseca
Solution Architect at Everis.
You can find me at: @natanaelfonseca
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3. Session Agenda
- Microservices Patterns;
- Spring Cloud;
- What is a Service Mesh?
- What is ISTIO?
- Before and After;
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- Traffic Control;
- Service Resilience;
- Chaos Testing;
- Observability;
- Security.
5. Spring Cloud Projects
▷ Spring Cloud Config;
▷ Spring Cloud Netflix;
▷ Spring Cloud Bus;
▷ Spring Cloud Foundry;
▷ Spring Cloud Open Service Broker;
▷ Spring Cloud Cluster;
▷ Spring Cloud Consul;
▷ And others…..
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https://spring.io/projects/spring-cloud
6. Spring Cloud Netflix
▷ Service Discovery;
▷ Circuit Breaker;
▷ Declarative REST Client with Feign;
▷ Client Side Load Balancer with Ribbon;
▷ Router and Filter with Zuul.
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8. “A service mesh is the connective tissue between your
services that adds additional capabilities like traffic
control, service discovery, load balancing, resilience,
observability, security, and so on…
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What is a service mesh?
9. “Developed by a collaboration between Google, IBM, and
Lyft, Istio is an open-source service mesh that lets you
connect, monitor, and secure microservices deployed on-
premise, in the cloud, or with orchestration platforms like
Kubernetes and Mesos.
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What is ISTIO?
10. What are the biggest changes
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Before and After
15. Envoy
A layer 7 load-balancer takes routing decision based on
IPs, TCP or UDP ports or any information it can get
from the application protocol (mainly HTTP). The layer
7 load-balancer acts as a proxy, which means it
maintains two TCP connections: one with the client
and one with the server.
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19. Pilot
Provides capabilities like service discovery as well as
support for VirtualService. The VirtualService is what
gives you fine-grained request distribution, retries,
timeouts, etc
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20. Mixer
With Mixer, you can create policies, apply rate-limiting
rules, and even capture custom metrics. Mixer has a
pluggable backend architecture that is rapidly evolving
with new plug-ins and partners that are extending
Mixer’s default capabilities in many new and interesting
ways.
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21. Citadel
Formerly known as Istio CA or Auth, is responsible for
certificate signing, certificate issuance, and
revocation/rotation. Istio issues X.509 certificates to
all your microservices, allowing for mutual Transport
Layer Security (mTLS) between those services,
encrypting all their traffic transparently.
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23. “With a canary deployment, you deploy a new version
of your code to production but allow only a subset of
traffic to reach it
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Canary Deployment
24. Destination Rule and Virtual Service
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In this case, 100% of traffic for the recommendation service will always go to pods matching the
label version v1.
25. Canary Release for API V2
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We’re sending 90% of the traffic to v1 and
10% of the traffic to v2 with this VirtualService
26. Header Based
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This rule uses a request header–based matching
clause that will match only if the request
includes “Safari” as part of the user-agent header
27. Dark Launch
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Istio allows you to duplicate or mirror traffic to a
new version of your application and see how it
behaves compared to the live application pod
30. Load Balancing
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ROUND_ROBIN
This algorithm evenly distributes the load, in order,
across the endpoints in the load-balancing pool.
RANDOM
This evenly distributes the load across the endpoints in
the load-balancing pool but without any order.
LEAST_CONN
This algorithm picks two random hosts from the load-
balancing pool and determines which host has fewer
outstanding requests (of the two) and sends to that
endpoint. This is an implementation of weighted least
request load balancing.
31. Timeout
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Calls to services over a network can result in lots
of unpredictable behavior, but the worst behavior
is latency. Did the service fail? Is it just slow? Is it
not even available? Unbounded latency means
any of those things could have happened
32. Retry
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With Istio’s retry capability, you can make a few
more attempts before having to truly deal with
the error, potentially falling back to default logic.
To forward the request to another instance just in case you get an open circuit
breaker or pool ejection
33. Circuit Breaker
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Istio puts more of the resilience implementation into
the infrastructure so that you can focus more of your
valuable time and energy on code that differentiates
your business from the ever-growing competitive
field.
To create circuit breaker functionality for our services,
we use an Istio DestinationRule
To avoid multiple concurrent requests to an instance
34. Pool Ejection
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If the request is forwarded to a certain instance
and it fails (e.g., returns a 50x error code), Istio
will eject this instance from the pool for a
certain sleep window. In our example, the sleep
window is configured to be 15s.
To remove failing instances from the pool of responding instances
36. “Chaos Engineering is the discipline of experimenting
on a distributed system in order to build confidence
in the system’s capability to withstand turbulent
conditions in production
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Principles of Chaos Engineering
http://principlesofchaos.org/?lang=ENcontent
37. HTTP Errors
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We use the combination of Istio’s DestinationRule and VirtualService to
inject a percentage of faults—in this case, returning the HTTP 503 error
code 50% of the time.
Injecting errors via Istio instead of using Java code
38. Delays
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The following manifest injects 7
seconds of delay into 50% of the
responses from the
recommendation service
The most insidious of possible distributed computing faults is not a “dead”
service but a service that is responding slowly
40. Tracing
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Jaeger implements OpenTracing, a vendor-neutral tracing API. Jaeger was originally open sourced by the
Uber Technologies team and is a distributed tracing system specifically focused on microservices
architecture.
41. Metrics
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Istio will gather telemetry data across the service mesh by leveraging Prometheus and
Grafana to get started with this important capability
42. Service Graph
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Istio has provided the out-of-the-box basic Servicegraph visualization
since its earliest days
44. Mutual Transport Layer Security
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Enabling mTLS in Istio uses the combination of Policy and DestinationRule objects
(mTLS)
45. Access Control with Mixer Policy
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Istio’s Mixer Policy service allows you to construct a series of rules that ensure the various
microservices that make up your application follow an approved invocation path
For example:
• customer is not allowed to call recommendation;
• preference is not allowed to call customer;
• recommendation is not allowed to call customer;
• recommendation is not allowed to call preference.
46. Role-Based Access Control (RBAC)
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Istio includes a Role-Based Access Control (RBAC) authorization feature
that can be used to further constrain which services (e.g., customer,
preference, recommendation) are accessible by particular users.
Where mode can be:
OFF: Istio authorization is disabled.
ON: Istio authorization is enabled for all services in the mesh.
ON_WITH_INCLUSION: Enabled only for services and namespaces
specified in the inclusion field.
ON_WITH_EXCLUSION: Enabled for all services in the mesh except the
services and namespaces specified in the exclusion field.
47. Role-Based Access Control (RBAC)
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Istio’s RBAC uses a deny-by-default strategy, meaning that nothing is permitted until you explicitly
define an access-control policy to grant access to any service. To reopen the customer endpoint
to end-user traffic, create a ServiceRole and a ServiceRoleBinding
48. JWT
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Istio has support for user authentication and authorization via JWT (JSON Web Token)Istio has
support for user authentication and authorization via JWT (JSON Web Token)