![]() The dashboard server, agent control server, and management server are the data computation monitoring infrastructure services. The data processing server facilitates the correlation of data collected by the agents and the data collector service. The database layer, which includes databases like Postgres, Elasticsearch, and VictoriaMetrics, stores the data collected from the agents and data control server. The agents deployed near the data sources collect metrics regularly before publishing them to the data ingestion module. The platform’s data computation monitoring section obtains the metadata from external sources via REST APIs, collects it on the data collector server, and then publishes it to the data ingestion module. It manages the data plane and, as needed, sends requests for job execution and other tasks. The control plane stores all metadata, profiling data, job results, and other data in the database layer. The control plane is the platform’s orchestrator, and is accessible via UI and API interfaces. The execution of jobs is managed by the Spark clusters. Any profiling, policy execution, and sample data task is converted into a Spark job by the analyzer. The data analyzer, query analyzer, crawlers, and Spark infrastructure are a part of the data plane.ĭata source integration comes with a microservice that crawls the metadata for the data source from their underlying meta store. It never stores any data and returns metadata and results to the control plane, which receives and stores the results of the executions. The data plane of the Acceldata platform connects to the underlying databases or data sources. The Acceldata Data Observability Platform architecture is divided into a data plane and a control plane. Acceldata’s compute performance platform displays all of the computation costs incurred on customer infrastructure, and allows you to set budgets and configure alerts when expenditures reach the budget. It allows data engineers and data scientists to monitor compute performance and validate data quality policies defined within the system.Īcceldata’s data reliability monitoring platform allows you to set various types of policies to ensure that the data in your pipelines and databases meet the required quality levels and are reliable. ![]() It gathers various metrics by reading and processing raw data as well as meta information from underlying data sources. The Acceldata Data Observability Platform is built as a collection of microservices that work together to manage various business outcomes.
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