This architecture requires an intelligent load balancer.
#Ignite apache full
Apache Ignite supports full in-memory mode (providing high-performance computing) as well as native persistence. There are several databases in the Java world that we can run in embedded mode. Not to mention, often, clients are interested in only a small part of the returned data.Ī stateful architecture was invented to solve these problems, where database and cache are started in the same process as applications. Message marshaling and unmarshalling is the primary consumer of the CPU.Network latency takes up a significant part of the response time.
There are two main problems in high-load systems: In case of increased load, each of these elements is scaled independently. In this case, the database cluster is deployed away from the application instances, as is the distributed cache. The traditional microservices architecture is stateless. In this article, I will describe how you can combine this approach with Apache Ignite. There are examples of using stateful microservices with Apache Cassandra on board. They have their pros and cons and can shine in highly loaded systems. I'm going to use Ignite's cache to make a thin client's security context accessible throughout the cluster.Stateful microservices are not a new concept.
#Ignite apache how to
But how to implement this feature is the developers' decision. The GridSecurityProcessor provides the interface to get a thin client's security context on every node in the cluster. The node performs authentication and creates a security context associated with the thin client. Thin Client AuthenticationĪ thin client is a lightweight Ignite client that establishes a socket connection to a standard Ignite node. This behavior adheres to the permissions that we defined in the security policy method. However, the subject can perform put and read operations, but not remove operations, on the cache that is named common_cache. The lack of permission is due to the fact that we didn't mention the name secret_cache in our security policy. In regard to the put operation, the output indicates that the subject that has the secondSubject login doesn't have permission to manipulate the cache that is named secret_cache. We will improve our implementation of GridSecurityProcessor step-by-step by adding the capabilities that are described in the introduction to this article. The GridSecurityProcessor is the central interface for Ignite security. So, when you get unknown permissions, you need to decide on an appropriate reaction.
In the future, the SecurityPermission enum can be extended by new constants. In other cases, when CACHE_CREATE ( CACHE_DESTROY) is treated as cache permission, permission checking is executed with the account of the cache name. When CACHE_CREATE ( CACHE_DESTROY) is treated as a system permission, it applies to all caches. Notice that CACHE_CREATE and CACHE_DESTROY are included in two groups (system operations and cache operations). The operationAllowed() method shows how you can identify the permission group. To determine whether a security subject has been given permission, you have to know what the permission group is.
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