From 29016d7cf9449fdc03b0b20ad1e41e351727e7a0 Mon Sep 17 00:00:00 2001 From: Kathryn Alexander Date: Thu, 8 Nov 2018 15:57:20 -0500 Subject: [PATCH] draft of early 4.0 architecture updates --- _topic_map.yml | 7 + architecture/architecture.adoc | 42 ++++++ architecture/images/architecture_overview.png | Bin 0 -> 198522 bytes modules/abstraction-layers.adoc | 23 ++++ modules/architecture-overview.adoc | 70 ++++++++++ modules/cloud_installations.adoc | 37 ++++++ modules/installation-options.adoc | 31 +++++ modules/machine-api-overview.adoc | 56 ++++++++ modules/node-management.adoc | 46 +++++++ modules/node-types.adoc | 14 ++ modules/operators-overview.adoc | 96 ++++++++++++++ modules/security-overview.adoc | 125 ++++++++++++++++++ 12 files changed, 547 insertions(+) create mode 100644 architecture/architecture.adoc create mode 100644 architecture/images/architecture_overview.png create mode 100644 modules/abstraction-layers.adoc create mode 100644 modules/architecture-overview.adoc create mode 100644 modules/installation-options.adoc create mode 100644 modules/machine-api-overview.adoc create mode 100644 modules/node-management.adoc create mode 100644 modules/node-types.adoc create mode 100644 modules/operators-overview.adoc create mode 100644 modules/security-overview.adoc diff --git a/_topic_map.yml b/_topic_map.yml index dc6c16320b7f..2ee2d082e738 100644 --- a/_topic_map.yml +++ b/_topic_map.yml @@ -57,6 +57,13 @@ Topics: - Name: OpenShift CCS modular docs conventions File: mod-docs-conventions-ocp --- +Name: Architecture +Dir: architecture +Distros: openshift-* +Topics: +- Name: Architecture + File: architecture +--- Name: Authentication Dir: authentication Distros: openshift-* diff --git a/architecture/architecture.adoc b/architecture/architecture.adoc new file mode 100644 index 000000000000..40921f5802bc --- /dev/null +++ b/architecture/architecture.adoc @@ -0,0 +1,42 @@ +// This assembly is included in the following assemblies: +// +// * n/a + + +[id='architecture'] += {product-title} Architecture +{product-author} +{product-version} +:data-uri: +:icons: +:experimental: +:toc: macro +:toc-title: +:prewrap!: +:context: architecture + +toc::[] + + +[IMPORTANT] +==== +This assembly is a temporary placeholder to port the valid information from +the 3.11 collection and include specific changes for 4.0 as that information +becomes available. +==== + +include::modules/architecture-overview.adoc[leveloffset=+1] + +include::modules/installation-options.adoc[leveloffset=+2] + +include::modules/node-management.adoc[leveloffset=+2] + +include::modules/node-types.adoc[leveloffset=+2] + +include::modules/operators-overview.adoc[leveloffset=+2] + +include::modules/abstraction-layers.adoc[leveloffset=+2] + +include::modules/security-overview.adoc[leveloffset=+2] + +include::modules/machine-api-overview.adoc[leveloffset=+1] diff --git a/architecture/images/architecture_overview.png b/architecture/images/architecture_overview.png new file mode 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b/modules/abstraction-layers.adoc @@ -0,0 +1,23 @@ +// Module included in the following assemblies: +// +// * architecture/architecture.adoc + +[id='abstraction-layers-{context}'] += {product-title} abstraction layers + +The Docker service provides the abstraction for packaging and creating +Linux-based, lightweight container images. Kubernetes provides the +cluster management and orchestrates containers on multiple hosts. + +{product-title} adds: + +- Source code management, builds, and deployments for developers +- Managing and promoting images at scale as they flow through your system +- Application management at scale +- Team and user tracking for organizing a large developer organization +- Networking infrastructure that supports the cluster + +.{product-title} Architecture Overview +image::../images/architecture_overview.png[{product-title} Architecture Overview] + +The cluster uses a combination of master and worker nodes. diff --git a/modules/architecture-overview.adoc b/modules/architecture-overview.adoc new file mode 100644 index 000000000000..8256e2f219b2 --- /dev/null +++ b/modules/architecture-overview.adoc @@ -0,0 +1,70 @@ +// Module included in the following assemblies: +// +// * architecture/architecture.adoc + +[id='architecture-overview-{context}'] += Architecture overview + +Like {product-title} v3, {product-title} v4 is a layered system designed to +expose underlying container images and Kubernetes concepts as accurately as +possible, with a focus on easy composition of applications by a developer. +For example, after your cluster is running, install Ruby, push code, and add +MySQL to the app. + +A major difference between {product-title} v3 and v4 is that v4 uses Operators +as both the fundamental unit of the product and an option for easily deploying +and managing utilities that your apps use. + +{product-title} has an Operator-based architecture of smaller, decoupled units +that work together. It runs on top of a Kubernetes cluster, with data about the +objects stored in etcd, a reliable clustered key-value store. Those services are +broken down by function: + +* Operators, which run the core {product-title} services. +* REST APIs, which expose each of the core objects: +** Containers and images, which are the building blocks for deploying your +applications. +** Pods and services, which containers use to communicate with each other and +proxy connections. +** Projects and users, which provide the space and means for communities to +organize and manage their content together. +** Builds and image streams] allow you to +build working images and react to new images. +** Deployments, which expand support for the software development and deployment +lifecycle. +** Routes, which announce your service to the world. +** Templates, which allow you to simultaneously create many objects that are +based on customized parameters. +* Controllers, which read those REST APIs, apply changes to other objects, and +report status or write back to the object. + +Users make calls to the REST API to change the state of the system. Controllers +use the REST API to read the user's desired state and then try to bring the +other parts of the system into sync. For example, when you request a build, the +REST APIs create a `build` object. The build controller sees that a new build has been created, and +runs a process on the cluster to perform that build. When the build completes, +the controller updates the build object via the REST API and the user sees that +their build is complete. + +The controller pattern means that much of the functionality in {product-title} +is extensible. The way that builds are run and launched can be customized +independently of how images are managed, or how deployments happen. The controllers +perform the "business logic" of the system, taking user actions and +transforming them into reality. By customizing those controllers or replacing +them with your own logic, you can implement different behaviors. From a system +administration perspective, this also means that you can use the API to script common +administrative actions on a repeating schedule. Those scripts are also +controllers that watch for changes and take action. {product-title} makes the +ability to customize the cluster in this way a first-class behavior. + +To make this possible, controllers use a reliable stream of changes to the +system to sync their view of the system with what users are doing. This event +stream pushes changes from etcd to the REST API and then to the controllers as +soon as changes occur so changes can efficiently ripple through the system. +However, because failures can occur at any time, the controllers +must also be able to get the latest state of the system at start up and confirm +that everything is in the right state. This resynchronization is important +because it means that even if something goes wrong, you can +restart the affected components, and the system confirms its status before it +continues. Because the controllers can always bring the system into sync, the +system eventually converges to your intent. diff --git a/modules/cloud_installations.adoc b/modules/cloud_installations.adoc index 4bbee96439a8..093734071e68 100644 --- a/modules/cloud_installations.adoc +++ b/modules/cloud_installations.adoc @@ -19,8 +19,45 @@ cluster. These details include ... With a customized cluster, you can specify more details of the installation, such as ... +When you install a fully-managed {product-title} cluster, you download the +installer from link:try.openshift.com. This site manages: +* Rest API for accounts +* Registry tokens, which are the pull secrets that you use to obtain the required +components +* Cluster registration, which associates the cluster identity to your Red Hat +account to facilitate usage metrics gathering + +In {product-title} version 4.0, the installer is a go binary that performs a +series of file transformations on a set of assets. With the fully-managed option, +you delegate the infrastructure bootstrapping and provisioning to the installer +instead of doing it yourself. Because you do not use the installer to upgrade or +update your cluster, if you do not highly customize your cluster, you run the +installer only once. + +You use three sets of files during installation: an installation configuration +file, Kubernetes manifests, and Ingition configurations for your machine types. + +The installation configuration file is transformed into Kubernetes manifests, and +then the manifests are wrapped into Ignition configurations. The installer uses +these Ingition configurations to create the cluster. + +The install configuration files are all pruned when you run the installer, +so be sure to back up all configuration files that you want to use again. + [IMPORTANT] ==== You cannot modify the parameters that you set during installation. You have to ... ==== + +//// +There are individual commands to perform the different actions in cluster creation +if you want to try to make customizations, but you can run openshift-install +create cluster to get the default cluster done quick. + +$ openshift-install --help +$ openshift-install create install-config +$ openshift-install create manifests +$ openshift-install create ignition-configs +$ openshift-install create cluster +//// diff --git a/modules/installation-options.adoc b/modules/installation-options.adoc new file mode 100644 index 000000000000..72babbb8b9c6 --- /dev/null +++ b/modules/installation-options.adoc @@ -0,0 +1,31 @@ +// Module included in the following assemblies: +// +// * architecture/architecture.adoc + +[id='installation-options-{context}'] += Installation options + +{product-title} offers two installation options: fully-managed infrastructure and bring your own +infrastructure. In version 4.0, the fully-managed option allows you to install a +cluster in Amazon Web Services (AWS) that runs on Red Hat CoreOS nodes. If you want to +use any other cloud or install your cluster on-premise, use the bring your own +infrastructure option to install your cluster on existing Red Hat Enterprise +Linux (RHEL) hosts. + +The fully-managed option offers full-stack automation to: + +* Manage compute +* Manage operating system (RHCOS) +* Manage control plane +* Manage nodes + +The bring your own infrastructure option, you have more responsibilities. +You must provide the hosts and update RHEL on them. {product-title} provides: + +* Managed control plane +* Ansible to manage kubelet and runtime + + +With both installation types, installation and upgrade both use a controller +that constantly reconciles component versions as if it were any other Kubernetes +controller. diff --git a/modules/machine-api-overview.adoc b/modules/machine-api-overview.adoc new file mode 100644 index 000000000000..1a50ba0a174c --- /dev/null +++ b/modules/machine-api-overview.adoc @@ -0,0 +1,56 @@ +// Module included in the following assemblies: +// +// * architecture/architecture.adoc + +[id='machine-api-overview-{context}'] += Machine API overview + +On fully-managed {product-title} clusters, the Machine API performs all node +management actions after the cluster installation finishes. Because of this +system, {product-title} version 4.0 offers an elastic, dynamic provisioning +method. + +The Machine API is a combination of primary resources that are based on the upstream +link:https://github.com/kubernetes-sigs/cluster-api[Cluster API] project and +custom {product-title} resources. + +The three primary resources are: + +`Machines`:: A fundamental unit that describes a node host. A `machine` has a +class, which describes the types of compute nodes that are offered for different +cloud platforms. For example, a `machine` type for a worker node on Amazon Web +Services (AWS) might define a specific machine type and required metadata. +`MachineClasses`:: A unit that defines a class of `machines` and facilitates +configuration reuse across `machines` of the same class. This unit functions +like a `StorageClass` for PersistentVolumeClaims. +`MachineSets`:: Groups of machines. `MachineSets` are to `machines` as +`ReplicaSets` are to `Pods`. If you need more `machines` or need to scale them down, +you change the *replicas* field on the `MachineSet` to meet your compute need. + + +The following custom resources add more capabilities to your cluster: + +`MachineAutoscaler`:: This resource automatically scales `machines` in +a cloud. You can set the minimum and maximum scaling boundaries for nodes in a +specified `MachineSet`, and the `MachineAutoscaler` maintains that range of nodes. +`MachineHealthChecker`:: This resource detects when a machine is unhealthy, +deletes it, and, on supported platforms, makes a new machine. +`ClusterAutoscaler`:: This resource is based on the upstream +link:https://github.com/kubernetes/autoscaler/tree/master/cluster-autoscaler[Cluster Autoscaler] +project. In the {product-title} implementation, it is integrated with the +Cluster API by extending the `MachineSet` API. +`ClusterAutoscalerOperator`:: Instead of interacting with the `ClusterAutoscaler` +itself, you use its Operator. The `ClusterAutoscalerOperator` manages +the `ClusterAutoscaler` deployment. With this Operator, you can set cluster-wide +scaling limits for resources such as cores, nodes, memory, and GPU. +and so on. You can set the priority so that the cluster prioritizes pods so that +new nodes are not brought online for less important pods. You can also set the +ScalingPolicy so you can scale up nodes but not scale them down. + + +In 3.x, you couldn't roll out a multi-az architecture easily because the cluster +did not manage machine provisioning. It's easier in 4.0. Each machinset is scoped +to a single az so the installer will actually send out machinesets across AZs +on your behalf. And then because your compute is actually dynamic here, and in +the face of a zone failure, you always have a zone for when you need to rebalance +your machines. the autoscaler proviedes best-effort balancing over the life of a cluster. diff --git a/modules/node-management.adoc b/modules/node-management.adoc new file mode 100644 index 000000000000..b9d543e90852 --- /dev/null +++ b/modules/node-management.adoc @@ -0,0 +1,46 @@ +// Module included in the following assemblies: +// +// * architecture/architecture.adoc + +[id='node-management-{context}'] += Node management in fully-managed {product-title} + +The fully-managed version of {product-title} version 4.0 integrates management of +the container operating system and cluster management. Because the cluster manages +both its updates and updates to RHCOS, {product-title} provides an opinionated +lifecycle management experience that simplifies the orchestration of node upgrades. + +{product-title} employs three DaemonSets and controllers to simplify node management: + +* The `machine-config-controller` coordinates machine upgrades. +* The `machine-config-daemon` DaemonSet is a subset of the Ingition configuration that +applies the specified machine configuration and controls kubelet configuration. +* The `machine-config-server` DaemonSet provides the Ignition config to new hosts. + +These tools orchestrate operating system updates and configuration changes to +the hosts by using standard Kuberentes-style constructs. A `machine-config-daemon` +DaemonSet runs on each compute node in the cluster and watches for changes in +the machine configuration for it to apply. The machine configuration is a subset +of the Ignition configuration. The `machine-config-daemon` reads the machine configuration to see +if it needs to do an `os tree` update, if it should apply a series of `systemd` +kubelet file changes, configuration changes, or other changes to the +operating system or {product-title} configuration. + +The masters also run the `machine-config-controller` process that monitors all of the cluster nodes +and orchestrates their configuration updates. So if you try to apply +an update or configuration change to a node on the cluster, the `machine-config-controller` +directs a node to update. The node sees that it needs to change, drains off its +pods, applies the update, and reboots. This process is key to the success of +managing {product-title} and RHCOS updates together. + +The `machine-config-server` applies configurations to nodes as they join the +cluster. It orchestrates configuration to nodes and changes to the operating system +and is used in both cluster installation and node maintenance. The +`machine-config-server` components upgrade the operating system and controls the Ignition +configuration for nodes. + +The `bootkube` process calls the `machine-config-server` component when the +{product-title} installer bootstraps the initial master node. After installation, +the `machine-config-server` runs in the cluster. It reads the `machine-config` +custom resource definitions (CRDs) and serves the required Ignition configurations +to new nodes when they join the cluster. diff --git a/modules/node-types.adoc b/modules/node-types.adoc new file mode 100644 index 000000000000..174e635f317b --- /dev/null +++ b/modules/node-types.adoc @@ -0,0 +1,14 @@ +// Module included in the following assemblies: +// +// * architecture/architecture.adoc + +[id='node-types-{context}'] += Node types in {product-title} + +{product-title} uses bootstrap, master, and worker nodes. The bootstrap node +provides the initial configuration to clusters. Master nodes run the cluster +infrastructure and required components. Instead of being grouped into a `MachineSet`, +they are a series of standalone machine API resources. Extra controls apply to +master nodes to prevent you from deleting all master nodes and breaking your +cluster. The worker nodes drive compute workloads. Each type of worker node is +governed by a specific machine pool that autoscales them. diff --git a/modules/operators-overview.adoc b/modules/operators-overview.adoc new file mode 100644 index 000000000000..9ac5691210ae --- /dev/null +++ b/modules/operators-overview.adoc @@ -0,0 +1,96 @@ +// Module included in the following assemblies: +// +// * architecture/architecture.adoc + +[id='operators-overview-{context}'] += Operators in {product-title} + +In {product-title} version 4.0, all cluster functions are divided into a series +of component Operators. + +Operators can manage other Operators within their component. This lends to a +transparent model: a single Operator usually manages a single binary file. +Operators also offer a more granual configuration experience. You configure each component by +modifying its Operator instead of modifying a global configuration file. + +In version 4.0, separate processes and images and pods run to drive the kubernetes +API and pod managers. The control plane services run as static pods so they can +manage normal workloads or processes the same way that they manage disaster +recovery. Aside from the core control plane components, other services run as +normal pods on the cluster, managed by regular Kubernetes constructs. Unlike in the past +where the `kubelet` could be running as containerized or non-containerized, the `kubelet` +always runs as a `systemd` process. + + +[id='cluster-version-operator-{context}'] +== The cluster version Operator + +The cluster version Operator orchestrates all things. + +{product-title} 4.0 introduces several new components that support the cluster +version Operator, including Cincinnati and Telemetry. + +Cincinnati is the hosted service that provides over the air updates to both +{product-title} and RHCOS. It provides a graph, or diagram that contain +_vertices_ and the _edges_ that connect them, of component Operators. The edges +in the graph show which versions you can safely upgrade to. The cluster version +Operator checks with Cincinnati and determines valid upgrades and upgrade paths +based on current component versions and information in the graph. If you +configure it to do so, Cincinnati sends the release artifacts that it needs to +perform the upgrade to your image registry, and the cluster version Operator +upgrades your cluster. By accepting automatic updates, you can automatically +keep your cluster up to date with the most recent compatible components. + +To allow Cincinnati to provide only compatible updates, a release verification +pipeline exists to drive automation. Each release artifact is verified for +compatibility with supported cloud platforms and system architectures as well +as other component packages. After the pipeline confirms the suitability of a +release, Cincinnati can apply the update to your cluster or notify you that it +is available. + +The interaction between the registry and the Cincinnati service is different during +bootstrap and continuous update modes. When you bootstrap the initial +infrastructure, the cluster version Operator finds +the fully qualified image name for the shortname of the images that it needs to +apply to the server during installation. It looks at the image stream that it needs +to apply and renders it to disk. It calls bootkube and waits for a temporary minimal control +plane to come up and load the cluster version Operator. + +During continuous update mode, two controllers run. One continuously updates +the payload manifests, applies them to the cluster, and outputs the status of +the controlled rollout of the Operators, whether they are available, upgrading, +or failed. The second controller constantly checks with to Cincinnati to +determine if updates are available. + +In a managed Red Hat environment, Telemetry is the component that provides +metrics about cluster health and the success of updates. + +[id='second-level-operators-{context}'] +== Second-level Operators in {product-title} + +The cluster version Operator, when we talk about payload manifests, is a +second-level Operator, the Operators that actually manage {product-title} as if +it were a native Kubernetes application. Second-level Operators are not a +codified concept, but thenamespace where your code exists, the service accounts +or roles the second-level Operator runs as, the CRD and pull secret that drives +the operation of the Operator, and the Operator deployment. + +Second-level Operators write out to a CRD resource called the cluster Operator +that allows the cluster version Operator to understand the progress of the +managed component's deployment + +[id='OLM-operators-{context}'] +== Operators managed by OLM + +In addition to the Operators that comprise {product-title}, the Cluster +Operator Lifecycle Management (OLM) component manages more Operators. +OLM is a framework that manages Kubernetes-native applications as Operators. +Instead of managing Kubernetes manifests, it manages Kubernetes Operators. +OLM manages two classes of Operators, Red Hat Operators and certified Operators. + +Some Red Hat Operators drive the cluster functions, like the scheduler and +problem detectors. Others are provider for you to manage yourself and use in +your applications, like etcd. {product-title} also offers certified Operators, +which the community built around the OLM and maintains. These certified Operators +are traditional applications that are Kubernetes-aware because they are wrapped +in an Operator. diff --git a/modules/security-overview.adoc b/modules/security-overview.adoc new file mode 100644 index 000000000000..11c2416448fd --- /dev/null +++ b/modules/security-overview.adoc @@ -0,0 +1,125 @@ +// Module included in the following assemblies: +// +// * architecture/architecture.adoc + +[id='security-overview-{context}'] += Security in {product-title} + +The {product-title} and Kubernetes APIs authenticate users who present +credentials and then authorizes them based on their role. Both developers and +administrators can be authenticated through a number of means, primarily +OAuth tokens and X.509 client certificates. OAuth tokens are signed with JSON +Web Algorithm _RS256_, which is RSA signature algorithm PKCS#1 v1.5 with SHA-256. + +Developers, the clients of the system, typically make REST API calls from a +client program like `oc` or to the {product-title} web console through their browser. +Both methods use OAuth bearer tokens for most communication. Infrastructure components. +like nodes, use client certificates that are generated by the system that contain their +identities. Infrastructure components that run in containers use a token that is +associated with their service account to connect to the API. + +Authorization is handled in the {product-title} policy engine, which defines +actions like `create pod` or `list services`, and groups them into roles in a +policy document. Roles are bound to users or groups by the user or group +identifier. When a user or service account attempts an action, the policy engine +checks for one or more of the roles assigned to the user, such as a cluster +administrator or administrator of the current project, before allowing it to +continue. + +ifdef::openshift-origin,openshift-online,openshift-enterprise[] +Since every container that runs on the cluster is associated with a service +account, it is also possible to associate secrets to those service accounts and have them +automatically delivered into the container. This secret delivery enables the infrastructure to +manage secrets for pulling and pushing images, builds, and the deployment +components and also allows application code to use those secrets. +endif::[] + +[id='architecture-overview-tls-support-{context}'] +== TLS Support + +All communication channels with the REST API, as well as between master +components such as etcd and the API server, are secured with TLS. TLS provides +strong encryption, data integrity, and authentication of servers with X.509 +server certificates and public key infrastructure. +ifdef::openshift-origin,openshift-enterprise,openshift-dedicated[] +By default, a new internal PKI is created for each deployment of +{product-title}. The internal PKI uses 2048 bit RSA keys and SHA-256 signatures. +endif::[] +ifdef::openshift-origin,openshift-enterprise[] +Custom certificates for public hosts are supported as well. +endif::[] + +{product-title} uses Golang’s standard library implementation of +link:https://golang.org/pkg/crypto/tls/[*crypto/tls*] and does not depend on any +external crypto and TLS libraries. Additionally, the client depends on external +libraries for GSSAPI authentication and OpenPGP signatures. GSSAPI is typically +provided by either MIT Kerberos or Heimdal Kerberos, which both use OpenSSL's +libcrypto. OpenPGP signature verification is handled by libgpgme and GnuPG. + +The insecure versions SSL 2.0 and SSL 3.0 are unsupported and not available. The +{product-title} server and `oc` client only provide TLS 1.2 by default. TLS 1.0 +and TLS 1.1 can be enabled in the server configuration. Both server and client +prefer modern cipher suites with authenticated encryption algorithms and perfect +forward secrecy. Cipher suites with deprecated and insecure algorithms such as +RC4, 3DES, and MD5 are disabled. Some internal clients, like LDAP +authentication, have less restrict settings with TLS 1.0 to 1.2 and more cipher +suites enabled. + +.Supported TLS Versions +[cols="4*", options="header"] +|=== +|TLS Version +|{product-title} Server +|`oc` Client +|Other Clients + +|SSL 2.0 +|Unsupported +|Unsupported +|Unsupported + +|SSL 3.0 +|Unsupported +|Unsupported +|Unsupported + +|TLS 1.0 +|No footnoteref:[tlsconfig,Disabled by default, but can be enabled in the server configuration.] +|No footnoteref:[tlsconfig] +|Maybe footnoteref:[otherclient,Some internal clients, such as the LDAP client.] + +|TLS 1.1 +|No footnoteref:[tlsconfig] +|No footnoteref:[tlsconfig] +|Maybe footnoteref:[otherclient] + +|TLS 1.2 +|*Yes* +|*Yes* +|*Yes* + +|TLS 1.3 +|N/A footnoteref:[tls13,TLS 1.3 is still under development.] +|N/A footnoteref:[tls13] +|N/A footnoteref:[tls13] +|=== + +The following list of enabled cipher suites of {product-title}'s server and `oc` +client are sorted in preferred order: + +- `TLS_ECDHE_ECDSA_WITH_CHACHA20_POLY1305` +- `TLS_ECDHE_RSA_WITH_CHACHA20_POLY1305` +- `TLS_ECDHE_ECDSA_WITH_AES_128_GCM_SHA256` +- `TLS_ECDHE_RSA_WITH_AES_128_GCM_SHA256` +- `TLS_ECDHE_ECDSA_WITH_AES_256_GCM_SHA384` +- `TLS_ECDHE_RSA_WITH_AES_256_GCM_SHA384` +- `TLS_ECDHE_ECDSA_WITH_AES_128_CBC_SHA256` +- `TLS_ECDHE_RSA_WITH_AES_128_CBC_SHA256` +- `TLS_ECDHE_ECDSA_WITH_AES_128_CBC_SHA` +- `TLS_ECDHE_ECDSA_WITH_AES_256_CBC_SHA` +- `TLS_ECDHE_RSA_WITH_AES_128_CBC_SHA` +- `TLS_ECDHE_RSA_WITH_AES_256_CBC_SHA` +- `TLS_RSA_WITH_AES_128_GCM_SHA256` +- `TLS_RSA_WITH_AES_256_GCM_SHA384` +- `TLS_RSA_WITH_AES_128_CBC_SHA` +- `TLS_RSA_WITH_AES_256_CBC_SHA`