CN105893205A - Method and system for monitoring containers created based on docker - Google Patents
Method and system for monitoring containers created based on docker Download PDFInfo
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- CN105893205A CN105893205A CN201510813051.0A CN201510813051A CN105893205A CN 105893205 A CN105893205 A CN 105893205A CN 201510813051 A CN201510813051 A CN 201510813051A CN 105893205 A CN105893205 A CN 105893205A
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- G06F11/30—Monitoring
- G06F11/3051—Monitoring arrangements for monitoring the configuration of the computing system or of the computing system component, e.g. monitoring the presence of processing resources, peripherals, I/O links, software programs
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Abstract
The invention provides a method and a system for monitoring containers created based on docker. The monitoring method comprises the steps of obtaining id information of all containers in a current host; obtaining file descriptors of namespaces of all the containers in the current host, exported by a kernel; and according to the id information of the containers and the file descriptors of the namespaces, acquiring measurement value data of the containers. Through the method and system provided by the invention, the containers created by the docker 1.0 can be monitored, the underlying measurement value data of the containers can be acquired, and the usage states resources by applications in the containers can be monitored.
Description
Technical field
The present embodiments relate to the data monitoring collection in Intel Virtualization Technology, particularly relate to a kind of monitoring base
Method and system in the container that docker creates.
Background technology
Docker is that increased income by Paas provider dotCloud is based on LXC (Linux Container)
Senior application container engine, allow developer can pack they application and rely on bag can move to one
In the container (container) planted, then it is published in any popular Linux machine.Due to its based on
The virtualized feature of lightweight of LXC, docker compares other virtual technologies, has and starts fast, resource
Take little advantage.
At present, along with Docker leading position the most firm in cloud computing market, container virtualization skill
Art also because there is the performance cost of less system than vm (virtual machine, virtual machine), thus
In the case of to kernel (kernel) insulation request the most so harshness, have a wide range of applications scene.
And traditional monitoring collection to resource service condition, it is primarily directed to host or vm, thus works as
When the environment of offer application service is container (container), how to be monitored gathering, at present to it
Also there is no effective implementation.
Summary of the invention
The embodiment of the present invention provides the method and system of a kind of monitoring container based on docker establishment,
In order to solve in prior art provide application service environment be container time, it is impossible to the number to container
According to the problem being acquired, it is achieved to the application program being deployed in the container service condition to resource
Monitoring.
The embodiment of the present invention provides the method for a kind of monitoring container based on docker establishment, including:
Obtain the id information of all of container on current hosts;
The filec descriptor of the NameSpace of all container on current hosts that acquisition kernel is derived;
Id information and the filec descriptor of NameSpace according to described container gather container's
Metric data.
The embodiment of the present invention provides the system of a kind of monitoring container based on docker establishment, including prison
Control proxy module, described monitoring agent module includes id information acquiring unit, descriptor acquiring unit sum
According to collecting unit,
Described id information acquiring unit is configured to communicate with docker daemon, passes through daemon
API obtain the id information of all container in current hosts;
Described descriptor acquiring cell location is for arrange read right to proc file system, by proc file
The interface accessing kernel data that system provides, obtains all container on the current hosts that kernel is derived
The filec descriptor of NameSpace;
Described data acquisition unit is configured to according to described id information and filec descriptor timing acquiring
The metric data of container.
The method and system of the container that the monitoring that the embodiment of the present invention provides creates based on docker, logical
Cross id and the filec descriptor obtaining container, based on cgroup and namespace interface, at kernel
On the basis of data structure, obtain the bottom-up information of container, at user's space by corresponding interface,
Read the data of corresponding kernel spacing, it is achieved that the resource of the application being deployed in container is used
The monitoring collection of situation, the bottom data collection for container provides effective, feasible solution.
Accompanying drawing explanation
For the technical scheme being illustrated more clearly that in the embodiment of the present invention, in embodiment being described below
The required accompanying drawing used is briefly described, it should be apparent that, the accompanying drawing in describing below is this
Some bright embodiments, for those of ordinary skill in the art, before not paying creative work
Put, it is also possible to obtain other accompanying drawing according to these accompanying drawings.
Fig. 1 is the embodiment flow chart of the method monitoring container based on docker establishment in the present invention;
Fig. 2 is the frame construction drawing of the system monitoring container based on docker establishment in the present invention;
Fig. 3 is the sequential chart of the system of the container that the monitoring shown in Fig. 2 creates based on docker.
Detailed description of the invention
For making the purpose of the embodiment of the present invention, technical scheme and advantage clearer, below in conjunction with this
Accompanying drawing in bright embodiment, is clearly and completely described the technical scheme in the embodiment of the present invention,
Obviously, described embodiment is a part of embodiment of the present invention rather than whole embodiments.Based on
Embodiment in the present invention, those of ordinary skill in the art are obtained under not making creative work premise
The every other embodiment obtained, broadly falls into the scope of protection of the invention.
The present invention is directed to container Intel Virtualization Technology in increasingly extensive application, but to the environment of application service be
During container (container), it is impossible to the resource that effective monitoring acquisition applications is run in container uses
This problem of situation, it is provided that a kind of monitoring method and system to the container that docker1.0 creates,
These monitoring method and system can extract the metric (metric data) of container, these packets
Include but be not limited to CPU, hard disk, internal memory, network etc..The method and system of the present invention provide collection number
According to will gather two solutions of the containerization of method and system own, realization to container
Data acquisition on the basis of, be also convenient for cluster management system call this monitoring capture program.
The present invention is further detailed explanation below in conjunction with the accompanying drawings.
Fig. 1 show schematically show the side of the monitoring container according to one embodiment of the present invention
Method.As it is shown in figure 1, the method includes:
Step S101: communicate with docker daemon, obtains on current hosts node all of
The id information of container.
First, set up with docker daemon (after docker framework operates in by the agreement of docker
The finger daemon of platform) communication.After being successfully established communication, directly invoke the REST that daemon provides
The API id information of all of container on this node (this API can directly return), obtains this
The id information of all of container on main frame (HOST) node.
Step S102: read on the current hosts node that kernel is derived by the interface of proc file system
The filec descriptor of the NameSpace of all container.
To current monitoring application program, give its authority reading proc catalogue.Enter proc catalogue,
The interface accessing system kernel data provided by proc file system, are read on this node that kernel is derived
The filec descriptor of NameSpace of all container.Due to LXC (Linux Container) institute
The isolation realized is mainly from the namespace NameSpace of kernel, namespace NameSpace bag
Including pid, net, ipc, mnt, uts etc., it is by the process of container, network, message, file system
The hostname with main frame that unites keeps apart, and provides the Virtual Space being independent of each other for each container, because of
This, by obtaining the filec descriptor of the NameSpace of each container, i.e. can be described by this document
Symbol enters into the network namespace of the container of correspondence and obtains information.Such as, read under proc catalogue
Take the filec descriptor of the NameSpace of container, current namespace NameSpace can be shown
Under the NameSpace that comprises and corresponding descriptor, as display NameSpace includes ipc, mnt, net, pid
And uts, the filec descriptor of its correspondence can be ipc:[4026532300 at control station output display respectively],
mnt:[4026532298]、net:[4026532301]、pid:[4026532351]、uts:[4026532299]。
Wherein, proc catalogue is that the one that linux kernel provides passes through the internal number of file system access kernel
The mechanism arranged according to structure, amendment kernel.Proc file system is a pseudo file system, in only existing
In the middle of depositing, provide interface in the mode of file system for accessing system kernel data.User and application program
The information of system can be obtained, it is possible to change some parameter of kernel by proc.Letter due to system
Breath is dynamically to change, when user or application program read proc file, proc file system be dynamically from
System kernel reads required fileinfo and submits to.
Step S103: gather CPU, internal memory and the metric data of hard disk.
Id information according to the container got, by calling cgroup (control group, LXC
Using cgroup to realize the management to the resource that each container can use, cgroup provides similar literary composition
The interface of part realizes the quota to resource and tolerance) api interface to obtain each id information corresponding
The asset data information of container, includes but not limited to CPU, internal memory, hard disk etc..
Such as, when the id information of a certain container got it is
“f2e602ba3e5662a8280ccb25b777e6eea405df98bdc791d9587ee0cbc9f315e4”
Time, if needing to gather the metric data of the CPU of this container, then can be in conjunction with cgroup's
Corresponding api interface, gets corresponding metric by corresponding order, if desired for the shape gathering CPU
During the metric of state information, can be by order " cat/cgroup/cpuacct/lxc/
f2e602ba3e5662a8280ccb25b777e6eea405df98bdc791d9587ee0cbc9f315e4/cpuac
Ct.stat ", get CPU in conjunction with the corresponding api interface of cgroup and the cpuacct.stat attribute of cpuacct
Corresponding state information (as display result be " user0system0 ", then can get the degree of this state
Magnitude data), if desired for the metric of the situation that takes up room gathering CPU, then can be by order " cat
/cgroup/cpuacct/lxc/
f2e602ba3e5662a8280ccb25b777e6eea405df98bdc791d9587ee0cbc9f315e4/cpuac
Ct.usage ", obtain the value that takes up room of the cpuacct.usage attribute of CPU (as display result is
“12011199”).If needing to gather the internal memory metric data of this container, then can be in conjunction with
The corresponding api interface of cgroup and property value obtain corresponding metric, as passed through order " cat
/cgroup/memory/lxc/
f2e602ba3e5662a8280ccb25b777e6eea405df98bdc791d9587ee0cbc9f315e4/mem
Ory.limit_in_bytes " obtain the restriction space size of the EMS memory occupation of container corresponding to this id information
(if display result is " 2147483648 ").And if needing to gather the hard disk tolerance of this container
Value Data, then can obtain corresponding metric in conjunction with the corresponding api interface of cgroup and property value, as
Can be by order " cat/cgroup/blkio/lxc/
f2e602ba3e5662a8280ccb25b777e6eea405df98bdc791d9587ee0cbc9f315e4/blkio.
Io_serviced " obtain the hard disk of container corresponding to this id information input-output equipment take situation
Statistical result (as display result be " Total 0 ").
Step S104: obtain the network namespace of corresponding container, reads the network naming obtained
Corresponding data information in space.
The filec descriptor of the container by getting, calls can obtain in conjunction with namespace system
Get network namespace corresponding to this container, e.g., by " ns f2e-bash-4.1 "
To the network namespace that filec descriptor is the container that " f2e-bash-4.1 " is corresponding.Obtain each
A completely self-contained network protocol stack, this network is included on the network namespace of the container obtained
Protocol stack includes the letters such as network device interface, IPv4 or IPv6 protocol stack, IP route table, firewall rule
Breath.Called by namespace system and enter into the network namespace of container with filec descriptor
After in, use order " ifconfig " that the every net in the network namespace of this container can be obtained
Network data message, and for example, at the network naming of the container that filec descriptor is " f2e-bash-4.1 "
In space, i.e. obtain corresponding data message by " ifconfig " order.
By the method for the present embodiment, it is possible to realize all of container created based on docker1.0
Resource use monitoring collection, and can collect exactly by Paas (platform-as-a-service,
Platform i.e. services) the resource service condition of container that is created that of cloud.
Meanwhile, the method for the present invention supports containerize (containerization), i.e. can will realize the present invention
The application deployment of method, in container, is issued on container and is run, realize in container
Acquisition monitoring to other container on this main frame (host).Wherein, the inventive method will be realized
Application deployment method in container identical with prior art container dispositions method, different exist
After disposing, need container is carried out the setting of proc read right, and other operation be all
Carrying out in container, the mode being in accordance with container itself processes, as at container
Communicate with docker daemon, obtain the id information of other container, hold at container
Obtained the filec descriptor of other container by the interface of proc file system in device,
Calling by cgroup and namespace in container, obtains the corresponding tolerance of other container
Value Data information.The whole capture program realizing the inventive method is disposed in a reservoir, it is possible to achieve whole
The containerization of individual capture program, thus whole capture program is issued as a common container,
After issue, by the cluster management system of corresponding container, monitoring capture program can be scheduling portion
Administration.And program is issued in the way of container and manages, it is possible to enjoy the institute of container
Have superiority, convenient efficiently.
The method of the present invention, it is provided that the resource of the business that a kind of brand-new collection is deployed in container
The implementation of service condition.By cgroup and namespace system call interfaces, at kernel data
On the basis of structure, obtain the bottom-up information of container, at user's space by corresponding interface, read
Take the data of corresponding kernel spacing, it is achieved that the metric collection to container, for container's
Bottom data collection provides effective and feasible solution.
Fig. 2 show schematically show the system of the monitoring container based on docker establishment of the present invention
A kind of frame diagram of embodiment.As in figure 2 it is shown, during implementing, by the frame of this system
Structure is designed as including configuring module (configfile) 40, load-on module (bee) 41, log pattern (log)
45, monitoring agent module (collector) 44, control module (controller) 43 and supervising data storage
42 6 functional modules of module (handle).Wherein, configuration module 40 part is used for loading and resolve whole
The configuration file of individual system.Load-on module 41 is the daemon of system, configures for being responsible for loading
Monitoring agent module (collector) 44, control module (controller) 43 and the monitoring number that file is specified
According to memory module (handle) 42, and by the running state information of whole system by calling log pattern
45 export in the file specified.Monitoring agent module 44 is for acquisition monitoring data.Control module 43
For realizing the functional realiey of the control container part of system.Supervising data storage module 42 is used for
Realize data and process the interface of storage part, be responsible for the monitoring data collected are pressed into different data bases
In.The data base of the embodiment of the present invention can be existing Universal Database (such as mysql etc.), this
Preferred influxdb data base in the framework of embodiment, the relevant configuration of data base and output can pass through it
User interface granfana is configured and shows.Wherein, load-on module 41 also includes monitoring and guards list
Unit 411 and monitoring service unit 412, monitoring service unit 412 is for carrying out with monitoring agent module 44
Communication, obtains the monitoring data gathered, stores different data bases by supervising data storage module 42.
Monitoring guards unit 411 for receiving the request of data of user, by supervising data storage module 42 from number
Export to user according to storehouse is read monitoring data.
Configuration module (configfile) 40 in present system, load-on module (bee) 41, daily record mould
Block (log) 45, control module (controller) 43 and the tool of supervising data storage module (handle)
Body realizes process, is referred to prior art and realizes.Monitoring agent module 44 in system then needs
Technical scheme according to embodiments of the present invention realizes, to complete the container's that docker creates
Data acquisition.Specifically, as in figure 2 it is shown, monitoring agent module 44 include id information acquiring unit 441,
Descriptor acquiring unit 442 and data acquisition unit 443.Id information acquiring unit 441 be configured to
Docker daemon communicates, and obtains owning in current hosts by the API of daemon
The id information of container.Descriptor acquiring unit 442 is configured to proc file system is arranged reading
Authority, the interface accessing kernel data provided by proc file system, obtain the current of kernel derivation
The filec descriptor of the NameSpace of all container on main frame.Data acquisition unit 443 configures
For the metric data according to id information and filec descriptor timing acquiring container.Wherein, number
Resource data acquisition unit 4431 and network data acquisition unit 4432 is included again according to collecting unit 443.
Network data acquisition unit 4432 is for adjusting by the filec descriptor of container and namespace system
With, gather the metric information of network.Resource data acquisition unit 4431 is for according to container's
Id information, is called by cgroup, gathers CPU, internal memory and the metric information of hard disk.Data acquisition
Concrete grammar process, can refer to the method shown in Fig. 1, do not repeat them here.It should be noted that
The embodiment of the present invention can realize related function module by hardware processor.
Fig. 3 show schematically show shown in Fig. 2 monitoring based on docker create container be
The sequential chart of system.As it is shown on figure 3, this system include monitoring agent module 44, monitoring service unit 412,
Unit 411 is guarded in supervising data storage module 42 and monitoring.Monitoring agent module 44 timing acquiring monitors
Data are sent to monitor service unit 412, and the monitoring data received are sent by monitoring service unit 412
To corresponding supervising data storage module 42, it is pressed into different data by supervising data storage module 42
Storehouse stores.When user 50 request monitoring data, monitoring is guarded unit 411 and is received asking of user
Seek the information of monitoring data, from supervising data storage module 42, obtain the data of response according to solicited message
Information, returns to user 50.
The system of the monitoring container of the present invention, it is possible to achieve to the resource service condition of container
Accurate acquisition.And system can dispose in the way of container and issue, and disposes and issues
Mode is referred to the process that the existing deployment of container is issued, and difference is when disposing to need system
Carry is under proc file system, it is achieved the read right to proc, to obtain on this main frame that kernel is derived
The filec descriptor of NameSpace of every other container, with in the container of monitoring system
Utilize id and the filec descriptor of other container, the data of other container are monitored
Gather, thus the bottom data collection for container provides effective solution.As the present invention it is
When system is disposed in container mode and issued, monitoring system itself is also in compliance with the complete life of container
In the cycle, monitoring system also becomes a container, and this is on the published method of monitoring system, is one
Plant new mode.By (i.e. disposing in container after issuing) after monitoring system containerization, pass through
Monitoring system just can be scheduling disposing by corresponding container cluster management system, concentrates container
Various advantages, transplantability is more preferable, it is achieved that it is right to solve the most conveniently and efficiently with a kind of new way
The problem that the monitoring of container gathers.
Device embodiment described above is only schematically, wherein said illustrates as separating component
Unit can be or may not be physically separate, the parts shown as unit can be or
Person may not be physical location, i.e. may be located at a place, or can also be distributed to multiple network
On unit.Some or all of module therein can be selected according to the actual needs to realize the present embodiment
The purpose of scheme.Those of ordinary skill in the art are not in the case of paying performing creative labour, the most permissible
Understand and implement.
Through the above description of the embodiments, those skilled in the art is it can be understood that arrive each reality
The mode of executing can add the mode of required general hardware platform by software and realize, naturally it is also possible to by firmly
Part.Based on such understanding, the portion that prior art is contributed by technique scheme the most in other words
Dividing and can embody with the form of software product, this computer software product can be stored in computer can
Read in storage medium, such as ROM/RAM, magnetic disc, CD etc., including some instructions with so that one
Computer equipment (can be personal computer, server, or the network equipment etc.) performs each to be implemented
The method described in some part of example or embodiment.
Last it is noted that above example is only in order to illustrate technical scheme, rather than to it
Limit;Although the present invention being described in detail with reference to previous embodiment, the ordinary skill of this area
Personnel it is understood that the technical scheme described in foregoing embodiments still can be modified by it, or
Person carries out equivalent to wherein portion of techniques feature;And these amendments or replacement, do not make corresponding skill
The essence of art scheme departs from the spirit and scope of various embodiments of the present invention technical scheme.
Claims (10)
1. the method for a monitoring container based on docker establishment, it is characterised in that including:
Obtain the id information of all of container on current hosts;
The filec descriptor of the NameSpace of all container on current hosts that acquisition kernel is derived;
Id information and the filec descriptor of NameSpace according to described container gather container's
Metric data.
Method the most according to claim 1, it is characterised in that on described acquisition current hosts node
The id information of all of container includes:
Set up the communication with docker daemon, obtained on current hosts node by the API of daemon
The id information of all of container.
Method the most according to claim 1, it is characterised in that it is current that described acquisition kernel is derived
On host node, the filec descriptor of the NameSpace of all container includes:
Read right to proc file system is set;
The interface accessing kernel data provided by proc file system, reads the current hosts that kernel is derived
The filec descriptor of the NameSpace of all container on node.
Method the most according to claim 1, it is characterised in that the container's of described collection
Metric data include the metric data of CPU, internal memory, hard disk and network.
Method the most according to claim 4, it is characterised in that described according to described container
Id information and NameSpace filec descriptor gather container metric data include:
Call the api interface of cgroup, according to container described in the id information gathering of described container
The corresponding data of the CPU of container corresponding for id, internal memory and hard disk;
Called by namespace system, obtain the network of container corresponding to described filec descriptor
NameSpace, reads the corresponding data of the network protocol stack included on described network namespace.
6. according to the method described in any one of claim 1 to 5, it is characterised in that described method be
Container realizes.
7. the system of a monitoring container based on docker establishment, it is characterised in that include prison
Control proxy module, described monitoring agent module includes id information acquiring unit, descriptor acquiring unit sum
According to collecting unit,
Described id information acquiring unit is configured to communicate with docker daemon, passes through daemon
API obtain the id information of all container in current hosts;
Described descriptor acquiring cell location is for arrange read right to proc file system, by proc file
The interface accessing kernel data that system provides, obtains all container on the current hosts that kernel is derived
The filec descriptor of NameSpace;
Described data acquisition unit is configured to according to described id information and filec descriptor timing acquiring
The metric data of container.
System the most according to claim 7, it is characterised in that described data acquisition unit includes net
Network data acquisition unit and resource data acquisition unit,
Described network data acquisition cell location, for be called by namespace system, obtains described file
The network namespace of the container that descriptor is corresponding, reads the net included on described network namespace
The corresponding data of network protocol stack;
Described resource data acquisition cell location is the api interface calling cgroup, according to described
The CPU of container corresponding for id of container described in the id information gathering of container, internal memory and
The corresponding data of hard disk.
System the most according to claim 7, it is characterised in that also include for controlling container
Control module, for providing the supervising data storage module of data-processing interface, for loading described control
Molding block, described supervising data storage module and the load-on module of described monitoring agent module,
Wherein, described load-on module includes monitoring service unit and unit is guarded in monitoring,
Described monitoring service unit is set to obtain the metric data that described monitoring agent module gathers, will
Described metric data are stored by described supervising data storage module press-in data base;
Described monitoring is guarded unit and is set to receive request of data, is obtained by described supervising data storage module
Take monitoring data message output;
Wherein, described data base includes influxdb data base.
10. according to the system described in any one of claim 7 to 9, wherein, described system is with container
Mode carries out the system disposed and issue.
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US11010435B2 (en) | 2016-09-26 | 2021-05-18 | Splunk Inc. | Search service for a data fabric system |
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US11055127B2 (en) | 2018-07-25 | 2021-07-06 | International Business Machines Corporation | Performance of containers |
US11106734B1 (en) * | 2016-09-26 | 2021-08-31 | Splunk Inc. | Query execution using containerized state-free search nodes in a containerized scalable environment |
US11126632B2 (en) | 2016-09-26 | 2021-09-21 | Splunk Inc. | Subquery generation based on search configuration data from an external data system |
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US11243963B2 (en) | 2016-09-26 | 2022-02-08 | Splunk Inc. | Distributing partial results to worker nodes from an external data system |
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US11294941B1 (en) | 2016-09-26 | 2022-04-05 | Splunk Inc. | Message-based data ingestion to a data intake and query system |
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US11593377B2 (en) | 2016-09-26 | 2023-02-28 | Splunk Inc. | Assigning processing tasks in a data intake and query system |
US11599541B2 (en) | 2016-09-26 | 2023-03-07 | Splunk Inc. | Determining records generated by a processing task of a query |
US11604795B2 (en) | 2016-09-26 | 2023-03-14 | Splunk Inc. | Distributing partial results from an external data system between worker nodes |
US11615087B2 (en) | 2019-04-29 | 2023-03-28 | Splunk Inc. | Search time estimate in a data intake and query system |
US11615104B2 (en) | 2016-09-26 | 2023-03-28 | Splunk Inc. | Subquery generation based on a data ingest estimate of an external data system |
US11620336B1 (en) | 2016-09-26 | 2023-04-04 | Splunk Inc. | Managing and storing buckets to a remote shared storage system based on a collective bucket size |
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US11704313B1 (en) | 2020-10-19 | 2023-07-18 | Splunk Inc. | Parallel branch operation using intermediary nodes |
US11715051B1 (en) | 2019-04-30 | 2023-08-01 | Splunk Inc. | Service provider instance recommendations using machine-learned classifications and reconciliation |
US11860940B1 (en) | 2016-09-26 | 2024-01-02 | Splunk Inc. | Identifying buckets for query execution using a catalog of buckets |
US11874691B1 (en) | 2016-09-26 | 2024-01-16 | Splunk Inc. | Managing efficient query execution including mapping of buckets to search nodes |
US11922222B1 (en) | 2020-01-30 | 2024-03-05 | Splunk Inc. | Generating a modified component for a data intake and query system using an isolated execution environment image |
US11921672B2 (en) | 2017-07-31 | 2024-03-05 | Splunk Inc. | Query execution at a remote heterogeneous data store of a data fabric service |
US11989194B2 (en) | 2017-07-31 | 2024-05-21 | Splunk Inc. | Addressing memory limits for partition tracking among worker nodes |
US12013895B2 (en) | 2016-09-26 | 2024-06-18 | Splunk Inc. | Processing data using containerized nodes in a containerized scalable environment |
US12072939B1 (en) | 2021-07-30 | 2024-08-27 | Splunk Inc. | Federated data enrichment objects |
US12093272B1 (en) | 2022-04-29 | 2024-09-17 | Splunk Inc. | Retrieving data identifiers from queue for search of external data system |
US12118009B2 (en) | 2019-10-18 | 2024-10-15 | Splunk Inc. | Supporting query languages through distributed execution of query engines |
Citations (3)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US20080216057A1 (en) * | 2007-02-07 | 2008-09-04 | Fujitsu Limited | Recording medium storing monitoring program, monitoring method, and monitoring system |
CN103365758A (en) * | 2013-08-05 | 2013-10-23 | 北京搜狐新媒体信息技术有限公司 | Process monitoring method and system in virtualization environment |
CN104899126A (en) * | 2015-06-12 | 2015-09-09 | 北京奇虎科技有限公司 | Method, device and system for performing local real-time monitoring on containers in host |
-
2015
- 2015-11-20 CN CN201510813051.0A patent/CN105893205A/en active Pending
Patent Citations (3)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US20080216057A1 (en) * | 2007-02-07 | 2008-09-04 | Fujitsu Limited | Recording medium storing monitoring program, monitoring method, and monitoring system |
CN103365758A (en) * | 2013-08-05 | 2013-10-23 | 北京搜狐新媒体信息技术有限公司 | Process monitoring method and system in virtualization environment |
CN104899126A (en) * | 2015-06-12 | 2015-09-09 | 北京奇虎科技有限公司 | Method, device and system for performing local real-time monitoring on containers in host |
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---|---|---|---|---|
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US10984044B1 (en) | 2016-09-26 | 2021-04-20 | Splunk Inc. | Identifying buckets for query execution using a catalog of buckets stored in a remote shared storage system |
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US11080345B2 (en) | 2016-09-26 | 2021-08-03 | Splunk Inc. | Search functionality of worker nodes in a data fabric service system |
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US11151137B2 (en) | 2017-09-25 | 2021-10-19 | Splunk Inc. | Multi-partition operation in combination operations |
US10956593B2 (en) | 2018-02-15 | 2021-03-23 | International Business Machines Corporation | Sharing of data among containers running on virtualized operating systems |
US11520919B2 (en) | 2018-02-15 | 2022-12-06 | International Business Machines Corporation | Sharing of data among containers running on virtualized operating systems |
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US11720537B2 (en) | 2018-04-30 | 2023-08-08 | Splunk Inc. | Bucket merging for a data intake and query system using size thresholds |
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US11055127B2 (en) | 2018-07-25 | 2021-07-06 | International Business Machines Corporation | Performance of containers |
US11853786B2 (en) | 2018-07-25 | 2023-12-26 | International Business Machines Corporation | Performance of containers |
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US10791039B2 (en) | 2018-08-03 | 2020-09-29 | Quanta Computer Inc. | Systems and methods for cloud service provisioning using software containers |
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US11615087B2 (en) | 2019-04-29 | 2023-03-28 | Splunk Inc. | Search time estimate in a data intake and query system |
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US12007996B2 (en) | 2019-10-18 | 2024-06-11 | Splunk Inc. | Management of distributed computing framework components |
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