International Business Machines Corporation

Huai Long Zhang

Ming Lei Zhang

Peng Hui Jiang

Jin Shan Li

Yue Wang

Rui Liu

Gang Tang

Xing Xing Shen

Yun Ma

Xiong Zhao

Shuang Men

Disclosed are a computer-implemented method, a system and a computer program product for record management in a time series database (TSDB). In the computer-implemented method for record management in a TSDB, time series records can be obtained from distributed sources by one or more processing units. The records can be divided into different record groups based on a timestamp of each of the records by one or more processing units. The records in each of the record groups can be normalized into normalized records by one or more processing units. The normalized records can be stored in the TSDB by one or more processing units.

Record management in time series database

An indication to remove one or more data in a time series database is received. A metadata index associated with the time series database is updated to indicate a soft removal of each data of the one or more data. A data hole index associated with the time series database is updated to indicate a data hole at a location of each data of the one or more data in the time series database. Responsive to an input/output rate for the time series database being below a threshold, the data hole of each data of the one or more data is optimized.

Data holes in a time series database

In an approach, a processor creates a local first Pod API object in a first lower Kubernetes cluster based on a first Pod API object in an upper Kubernetes cluster, where: the local first Pod API object includes internal and external network descriptions for a Pod described in the local first Pod API object, and the upper cluster manages the first and second lower Kubernetes cluster. A processor adds an annotation for the Pod to the local first Pod API object and the first Pod API object. A processor creates a local endpoint API object in the first lower cluster based on an endpoint API object in the upper cluster and annotations of Pods in the upper cluster. A processor redirects the first request to the endpoint of the second Pod described in the local endpoint API object.

Service access across Kubernetes clusters

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Changping District, China

Huai Long Zhang