Category Archive Istio vs haproxy


Istio vs haproxy

Learn the Learn how Consul fits into the. To enable the full functionality of Istio, multiple services must be deployed. For the control plane: Pilot, Mixer, and Citadel must be deployed and for the data plane an Envoy sidecar is deployed.

Additionally, Istio requires a 3rd party service catalog from Kubernetes, Consul, Eureka, or others. Finally, Istio requires an external system for storing state, typically etcd. At a minimum, three Istio-dedicated services along with at least one separate distributed system in addition to Istio must be configured to use the full functionality of Istio. Istio provides layer 7 features for path-based routing, traffic shaping, load balancing, and telemetry.

Access control policies can be configured targeting both layer 7 and layer 4 properties to control access, routing, and more based on service identity. Consul is a single binary providing both server and client capabilities, and includes all functionality for service catalog, configuration, TLS certificates, authorization, and more. No additional systems need to be installed to use Consul, although Consul optionally supports external systems such as Vault to augment behavior.

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This architecture enables Consul to be easily installed on any platform, including directly onto the machine.

Consul uses an agent-based model where each node in the cluster runs a Consul Client. This client maintains a local cache that is efficiently updated from servers. As a result, all secure service communication APIs respond in microseconds and do not require any external communication. This allows us to do connection enforcement at the edge without communicating to central servers.

Istio flows requests to a central Mixer service and must push updates out via Pilot. This dramatically reduces the scalability of Istio, whereas Consul is able to efficiently distribute updates and perform all work on the edge. Consul provides layer 7 features for path-based routing, traffic shifting, load balancing, and telemetry. Consul enforces authorization and identity to layer 4 only — either the TLS connection can be established or it can't. We believe service identity should be tied to layer 4, whereas layer 7 should be used for routing, telemetry, etc.

We will be adding more layer 7 features to Consul in the future. The data plane for Consul is pluggable. It includes a built-in proxy with a larger performance trade off for ease of use.

What is Istio?

But you may also use third party proxies such as Envoy to leverage layer 7 features. The ability to use the right proxy for the job allows flexible heterogeneous deployments where different proxies may be more correct for the applications they're proxying.

We encourage users leverage the pluggable data plane layer and use a proxy which supports the layer 7 features necessary for the cluster. In addition to third party proxy support, applications can natively integrate with the Connect protocol.

As a result, the performance overhead of introducing Connect is negligible. These "Connect-native" applications can interact with any other Connect-capable services, whether they're using a proxy or are also Connect-native.

istio vs haproxy

Consul implements automatic TLS certificate management complete with rotation support. Both leaf and root certificates can be rotated automatically across a large Consul cluster with zero disruption to connections.

The certificate management system is pluggable through code change in Consul and will be exposed as an external plugin system shortly. This enables Consul to work with any PKI solution. Because Consul's service connection feature "Connect" is built-in, it inherits the operational stability of Consul.

Consul has been in production for large companies since and is known to be deployed on as many as 50, nodes in a single cluster. This comparison is based on our own limited usage of Istio as well as talking to Istio users. If you feel there are inaccurate statements in this comparison, please click "Edit This Page" in the footer of this page and propose edits.Istio is an open platform for providing a uniform way to integrate microservices, manage traffic flow across microservices, enforce policies and aggregate telemetry data.

Istio's control plane provides an abstraction layer over the underlying cluster management platform, such as Kubernetes, Mesos, etc. Envoy and Istio are both open source tools. It seems that Istio with Envoy Stacks. Istio Stacks. Need advice about which tool to choose?

Ask the StackShare community! Envoy vs Istio: What are the differences? What is Envoy? What is Istio? Why do developers choose Envoy? Why do developers choose Istio? Sign up to add, upvote and see more pros Make informed product decisions. What are the cons of using Envoy? Be the first to leave a con. What are the cons of using Istio? What companies use Envoy? What companies use Istio? Sign up to get full access to all the companies Make informed product decisions.

What tools integrate with Envoy?

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What tools integrate with Istio? AWS App Mesh. Google Traffic Director.

istio vs haproxy

Google Anthos. Sign up to get full access to all the tool integrations Make informed product decisions. What are some alternatives to Envoy and Istio? According to Netcraft nginx served or proxied What is Envoy? What is HAProxy? Envoy is an open source tool with Here's a link to Envoy's open source repository on GitHub. We use HAProxy to load balance between our webservers.

It balances TCP between the machines round robin and leaves everything else to Node. HAProxy manages internal and origin load balancing using KeepaliveD. We use HAProxy to balance traffic at various points in our stack, includgin nginx nodes on different physical machines, and api nodes on the backend.

I also use its logs and statistics to visualize incoming traffic in Kibana.

istio vs haproxy

We use HAProxy to load balance web requests for our web application, but also for some internal load balancing of microservices. Envoy Stacks. HAProxy 2K Stacks. Need advice about which tool to choose? Ask the StackShare community! Envoy vs HAProxy: What are the differences? Why do developers choose Envoy? Why do developers choose HAProxy? Sign up to add, upvote and see more pros Make informed product decisions.

What are the cons of using Envoy? Be the first to leave a con. What are the cons of using HAProxy? What companies use Envoy? What companies use HAProxy? Stack Exchange. Sign up to get full access to all the companies Make informed product decisions. What tools integrate with Envoy? What tools integrate with HAProxy? AWS App Mesh. Google Traffic Director. Server Density. Sign up to get full access to all the tool integrations Make informed product decisions.Microservice architectures solve some problems but introduce others.

Dividing applications into independent services simplifies development, updates, and scaling. At the same time, it gives you many more moving parts to connect and secure. Managing all of the network services — load balancing, traffic management, authentication and authorization, etc. There is a collective term for this networked space between the services in your Kubernetes cluster: a service mesh.

With any group of networked applications, there is a slew of common behaviors that tend to spring up around them. Better to have a separate system that sits between the services and the network they talk to. This system would supply two key functions:. Istio works as a service mesh by providing two basic pieces of architecture for your cluster, a data plane and a control plane. All of this traffic is intercepted and redirected by a network proxying system.

A second component in the data plane, Mixergathers telemetry and statistics from Envoy and the flow of service-to-service traffic. It configures both the Envoy proxies and the Mixers that enforce the network policies for the services, such as who gets to talk to whom and when.

The control plane also provides a programmatic abstraction layer for the data plane and all of its behaviors. Istio Pilot takes the rules for traffic behavior provided by the control plane, and converts them into configurations applied by Envoy, based on how such things are managed locally.

istio vs haproxy

Pilot will allow Istio to work with different orchestration systems besides Kubernetes, but behave consistently between them. Gallery takes user-specified configurations for Istio and converts them into valid configurations for the other control plane components.

This is another element that allows Istio to use different orchestration systems transparently. You can make any changes to the mesh programmatically by commanding Istio. You can also roll back those changes if they turn out to be unhealthy. A third advantage is observability. Istio also provides ways to fulfill common patterns that you see in a service mesh.

Istio provides a circuit breaker pattern as part of its standard library of policy enforcements. Finally, while Istio works most directly and deeply with Kubernetes, it is designed to be platform independent.

Istio plugs into the same open standards that Kubernetes itself relies on. Istio can also work in a stand-alone fashion on individual systems, or on other orchestration systems such as Mesos and Nomad.

If you already have experience with Kubernetes, a good way to learn Istio is to take a Kubernetes cluster— not one already in production! Then you can deploy a sample application that demonstrates common Istio features like intelligent traffic management and telemetry.Edit This Page. Unlike other types of controllers which run as part of the kube-controller-manager binary, Ingress controllers are not started automatically with a cluster.

Use this page to choose the ingress controller implementation that best fits your cluster. Kubernetes as a project currently supports and maintains GCE and nginx controllers. You may deploy any number of ingress controllers within a cluster. When you create an ingress, you should annotate each ingress with the appropriate ingress. Ideally, all ingress controllers should fulfill this specification, but the various ingress controllers operate slightly differently.

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Service mesh data plane vs. control plane

If you have a specific, answerable question about how to use Kubernetes, ask it on Stack Overflow. Open an issue in the GitHub repo if you want to report a problem or suggest an improvement. Edit This Page Ingress Controllers In order for the Ingress resource to work, the cluster must have an ingress controller running. AppsCode Inc.

Comparison of Kubernetes Top Ingress Controllers

Contour is an Envoy based ingress controller provided and supported by VMware. Gloo is an open-source ingress controller based on Envoy which offers API Gateway functionality with enterprise support from solo. See the official documentation. Istio based ingress controller Control Ingress Traffic. Kong offers community or commercial support and maintenance for the Kong Ingress Controller for Kubernetes.

Using multiple Ingress controllers You may deploy any number of ingress controllers within a cluster. If you do not define a class, your cloud provider may use a default ingress controller.

Create an Issue Edit This Page.For years I have appreciated the clean and simple way Kubernetes approached Ingress into container workloads. The idea of an IngressController that dynamically reconfigures itself based on the current state of Ingress resources seemed very clean and easy to understand. The following diagram will help visualize my comments below. Both approaches are very similar in how they treat traffic at the edge. The demonstrations usually attempt to bypass DNS management and use something like a NodePort for convenience.

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There are many implementations of the IngressController spec for the traditional kubernetes routing, such as nginxhaproxy and traefikto name a few. These come with various features e. The Istio Ingress Gateway exclusively uses Envoy. Whether this lack of choice is a problem for you will depend on your specific use cases, but Envoy is a solid, very fast proxy that is battle tested by some of the biggest sites in the world.

TCP Traffic Shifting

Both approaches implement a type of server-side Service Discovery pattern. The proxy monitors kubernetes resources and configures and reconfigures itself. The diagram below illustrates how this works.

Although the Istio ingress mechanism is more complicated with three possible kubernetes resources contributing to the Envoy configuration, the overall approach is almost identical. A mechanism in the ingress proxy observes changes to either the Ingress or GatewayVirtualService and DestinationRule resources.

When changes are observed relative to the current configuration, the configuration is updated. Each of the numbered steps above are continuous. Both solutions accommodate TLS certificates at two levels. The first level is at the IngressController at least this is true with nginx and Istio Ingress Gateway. The second level is with the IngressController or Gateway. Both solutions make use of a kubernetes Secret to store the TLS certificate and key. If a TLS certificate is not provided, a fake is used.

The Ingress resource can override the default TLS certificate by referencing an a different kubernetes Secret. When this happens, the Ingress specific Secret is mounted into the IngressController and added to the configuration for that route.

The Istio Ingress Gateway can also consumes secrets in two different ways.The situation can best be summarized by the following series of tweets that I wrote in July:. The previous tweets mention several different projects LinkerdNGINXHAProxyEnvoyand Istio but more importantly introduce the general concepts of the service mesh data plane and the control plane.

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In this post I will step back and discuss what I mean by the terms data plane and control plane at a very high level and then discuss how the terms relate to the projects mentioned in the tweets. Figure 1 illustrates the service mesh concept at its most basic level. There are four service clusters A-D.

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Each service instance is colocated with a sidecar network proxy. Thus, the service instance is not aware of the network at large and only knows about its local proxy. In effect, the distributed system network has been abstracted away from the service programmer. In a service mesh, the sidecar proxy performs the following tasks:. All of the previous items are the responsibility of the service mesh data plane. In effect, the sidecar proxy is the data plane.

Said another way, the data plane is responsible for conditionally translating, forwarding, and observing every network packet that flows to and from a service instance. The network abstraction that the sidecar proxy data plane provides is magical. How is the service discovery data that the proxy queries populated?

How are the load balancing, timeout, circuit breaking, etc. Who configures systemwide authentication and authorization settings? All of the above items are the responsibility of the service mesh control plane. The control plane takes a set of isolated stateless sidecar proxies and turns them into a distributed system.

The reason that I think many technologists find the split concepts of data plane and control plane confusing is that for most people the data plane is familiar while the control plane is foreign. The new breed of software proxies are just really fancy versions of tools we have been using for a long time. However, we have also been using control planes for a long time, though most network operators might not associate that portion of the system with a piece of technology.

There reason for this is simple — most control planes in use today are… us. The proxies then consume the configuration and proceed with data plane processing using the updated settings. It is composed of the following pieces:.

Ultimately, the goal of a control plane is to set policy that will eventually be enacted by the data plane. More advanced control planes will abstract more of the system from the operator and require less handholding assuming they are working correctly! Linkerd was one of the first service mesh data plane proxies on the scene in early and has done a fantastic job of increasing awareness and excitement around the service mesh design pattern. Envoy followed about 6 months later though was in production at Lyft since late Istio was announced May,

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Terg Posted on10:12 pm - Oct 2, 2012

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