1/22/2024 0 Comments Elk stack architecture![]() ![]() That means that even in the rare event of ZooKeeper downtime the platform can still service the requests to existing clusters. ![]() The association of cluster id to a container is stored in ZooKeeper, but the proxy caches it. It maps a cluster id passed in the request url to the container to the actual cluster nodes. Proxy is the first component that a user's request hits. The above diagram depicts the core services and the connections between them. They can write no application state and they can read only the part of the state that is related to their own cluster. Even if attackers can compromise a cluster node they cannot break out of their containers and the host that hosts this container. For example, in our cloud service we assume that any Elasticsearch cluster node can be compromised at any time due to a yet undiscovered vulnerability. Even if a service is compromised, the damage is contained to a single container plus part of the application state. ![]() This, combined with fine-grained permissions to read and write application state, makes the whole installation more secure. This eases the operational management and allows us to change and improve one service without affecting all the other services.Įach service is deployed independently in its own Docker container. The services have well-defined behavior accessible via an API. It supports the notion of different services having different reliability and performance requirements as each service can be scaled separately. It allows us to scale the platform easily. The service-oriented architecture has various benefits. We have avoided the monolithic approach from day one. Let us discuss the points in more detail. No assumptions about the underlying machines or VMs.Reliance on ZooKeeper for cluster-state coordination.Enter Elastic Cloud Enterprise.Įlastic Cloud Enterprise shares most of its codebase with our Elastic Cloud SaaS offering. We happen to have the right solution to address the challenge - we have decided to package our SaaS platform and to make it available as a product. As we can see, an enterprise with a large number of Elasticsearch installations can hugely benefit from a centralized cloud-like approach, such as the one that is present in Elastic Cloud. And consequently to a zoo of versions, configurations, and usage patterns.Ĭentralizing the management of these clusters can not only enforce uniform versioning, data governance, backup, and user management policies but also reduce the total cost by increasing the hardware utilization. Yet, the rapid adoption of the Elastic Stack within different lines of business within these enterprises leads to proliferation of separate clusters managed by different teams. Either because enterprises deal with regulated or sensitive data that cannot leave internal networks or because of the investments they have already made in existing on premises infrastructure. Using a public cloud is a bit trickier for large enterprises. We've had a lot of great traction with this offering to date - companies of various sizes and profiles love the ease of use, security, and having the latest version of Elasticsearch in a monitored and managed cloud environment. Behind the scene the clusters are hosted on AWS. Provisioning and scaling clusters is just a few clicks away. No need to set up the infrastructure or work out the management details. It allows you to run Elasticsearch and Kibana in the cloud. We'll start by describing what Elastic Cloud Enterprise is and how it differs from our current Software-as-a-Service offering - Elastic Cloud.Įlastic offers a hosted version of the Elastic Stack named Elastic Cloud. In today's blog post we would like to give you an overview of Elastic Cloud Enterprise and its architecture. ![]()
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