Techniques for metric and logs visualization

A computing device comprising:

• one or more memories;
• and
• one or more processors in communication with the one or more memories and configured to execute instructions stored in the one or more memories to perform operations to:
• receive, by a first system provided as a first cloud service by a cloud service provider, a plurality of logs from a monitored system, the plurality of logs comprising events data for a set of events that have occurred at the monitored system;
• receive, by the first system and from second system that is provided as a second cloud service by the cloud service provider and that is separate from the first system, a first metric and associated data, wherein the first metric is computed by the second system based upon observability data received by the second system for the monitored system, wherein the first metric comprises a numeric property of a monitored system, and the associated data comprises one or more of a metric type, a metric name, a metric source, and a metric time, and wherein the first cloud service and the second cloud service are services that can be subscribed to by one or more customers of the cloud service provider;
• transform, by the first system, the plurality of logs into a standardized format prior to correlation;
• identify, by the first system and from the events data, a first portion of the events data of the plurality of logs that is correlated to the first metric and the associated data based on identifying correlation information from the first metric and the associated data where the identified correlation information comprises at least two of a network address, a device identifier, and a time identified in the associated data for the first metric;
• generate, by a dashboard generation system of the first system, a dashboard comprising a first section and a second section, and causing, by the first system, the dashboard to be displayed on a display device, wherein:
• the first metric and the associated data is displayed in the first section;
• the first portion of the events data identified as correlated to the first metric is displayed in the second section;
• the first metric and the first portion of the events data identified as correlated to the first metric are displayed concurrently on the dashboard;
• and
• the dashboard generation system causes the first metric and the first portion of the events data identified as correlated to the first metric to be displayed concurrently on the dashboard in real time.

A non-transitory, computer-readable medium storing a plurality of instructions that, when executed by one or more processors of a computing device, cause the one or more processors to perform operations to:

• receive, by a first system provided as a first cloud service by a cloud service provider, a plurality of logs from a monitored system, the plurality of logs comprising events data for a set of events that have occurred at the monitored system;
• receive, by the first system and from a second system that is provided as a second cloud service by the cloud service provider and that is separate from the first system, a first metric and associated data, wherein the first metric is computed by the second system based upon observability data received by the second system for the monitored system, wherein the first metric comprises a numeric property of a monitored system, and the associated data comprises one or more of a metric type, a metric name, a metric source, and a metric time, and wherein the first cloud service and the second cloud service are services that can be subscribed to by one or more customers of the cloud service provider;
• transform, by the first system, the plurality of logs into a standardized format prior to correlation;
• identify, by the first system and from the events data, a first portion of the events data of the plurality of logs that is correlated to the first metric and the associated data based on identifying correlation information from the first metric and the associated data where the identified correlation information comprises at least two of a network address, a device identifier, and a time identified in the associated data for the first metric;
• generate, by a dashboard generation system of the first system, a dashboard comprising a first section and a second section, and causing, by the first system, the dashboard to be displayed on a display device, wherein:
• the first metric and the associated data is displayed in the first section;
• the first portion of the events data identified as correlated to the first metric is displayed in the second section;
• the first metric and the first portion of the events data identified as correlated to the first metric are displayed concurrently on the dashboard;
• and
• the dashboard generation system causes the first metric and the first portion of the events data identified as correlated to the first metric to be displayed concurrently on the dashboard in real time.