FORM 2
THE PATENTS ACT, 1970 (39 OF 1970) & THE PATENT RULES, 2003
COMPLETE SPECIFICATION
(See section 10 and rule 13)
“METHOD AND SYSTEM FOR MONITORING OF ONE OR MORE DATABASE CLUSTERS”
We, Jio Platforms Limited, an Indian National, of Office - 101, Saffron, Nr. Centre Point, Panchwati 5 Rasta, Ambawadi, Ahmedabad - 380006, Gujarat, India.
The following specification particularly describes the invention and the manner in which it is to be performed.

METHOD AND SYSTEM FOR MONITORING OF ONE OR MORE
DATABASE CLUSTERS
FIELD OF INVENTION
[0001] Embodiments of the present disclosure relate generally to the field of network performance management systems. More particularly, embodiment of the present disclosure relates to a method and system for monitoring of one or more database clusters.
BACKGROUND
[0002] The following description of the related art is intended to provide background information pertaining to the field of the disclosure. This section may include certain aspects of the art that may be related to various features of the present disclosure. However, it should be appreciated that this section is used only to enhance the understanding of the reader with respect to the present disclosure, and not as admissions of the prior art.
[0003] Wireless communication technology has rapidly evolved over the past few decades, with each generation bringing significant improvements and advancements. The first generation of wireless communication technology was based on analog technology and offered only voice services. However, with the advent of the second generation (2G) technology, digital communication and data services became possible, and text messaging was introduced. The third generation (3G) technology marked the introduction of high-speed internet access, mobile video calling, and location-based services. The fourth generation (4G) technology revolutionized wireless communication with faster data speeds, better network coverage, and improved security. Currently, the fifth generation (5G) technology is being deployed, promising even faster data speeds, low latency, and the ability to connect multiple devices simultaneously. With each generation, wireless

communication technology has become more advanced, sophisticated, and capable of delivering more services to its users.
[0004] Firstly, most existing tools lack the capability for adaptive monitoring of clustered databases, which significantly limits the insight they can provide into these complex architectures. Such tools often treat each node as an isolated entity, failing to capture the intricate interactions and dependencies that exist within clustered setups. Consequently, this results in a fragmented and incomplete understanding of the system's behaviour, making it difficult to proactively manage and mitigate issues. Secondly, there's a limitation concerning awareness of dynamic cluster changes. Traditional tools usually don't have a mechanism to automatically detect alterations in cluster configurations. In a rapidly evolving ecosystem like 5G, where network elements and database clusters are frequently scaled up or down, this leads to delays in detecting important changes. The lack of real-time awareness can have a cascading impact, contributing to the next problem—missed failures and extended downtime. Thirdly, the absence of adaptive clustering monitoring in prior art increases the probability of missing crucial events like replication failures, node outages, or more broadly, cluster-wide issues. Timely detection of these problems is vital for ensuring high availability and resilience, particularly in 5G Core ecosystems where downtime can lead to significant revenue loss and degrade user experience. Lastly, the prior art involves complex manual setup procedures that are not only time-consuming but also prone to errors. Administrators have to manually configure each database node, adjust firewall rules, and set up routing, making the process cumbersome and fraught with risks. This complexity detracts from the system's overall efficiency and can be a significant hurdle for organizations that require agile operations.
[0005] Therefore, the shortcomings in prior art create a compelling need for a more sophisticated, adaptive, and automated solution for database cluster monitoring, particularly in the context of 5G networks where high availability, real-time monitoring, and adaptability are not just desirable but essential.

SUMMARY
[0006] This section is provided to introduce certain aspects of the present disclosure in a simplified form that are further described below in the detailed description. This summary is not intended to identify the key features or the scope of the claimed subject matter.
[0007] An aspect of the present disclosure may relate to a method for monitoring of one or more database clusters, the method comprising: configuring, by a processing unit, a plurality of services associated with a one or more database clusters to collect health status information of the one or more database clusters. The method further comprises maintaining, by the processing unit, a mapping of the one or more database clusters and corresponding health status information in a memory. The method further comprises receiving, by a transceiver unit via a user interface, a request for monitoring of at least one database cluster of the one or more database clusters. The method further comprises identifying, by an identification unit, a set of services of the plurality of services available for monitoring of the at least one database cluster. The method further comprises monitoring, by a monitoring unit, the at least one database cluster for a change in at least one of the health status information and a topology of the at least one database cluster. The method further comprises modifying, by the processing unit, the mapping based on the monitored change in at least one of the health status information and the topology of the at least one database cluster.
[0008] In an exemplary aspect of the present disclosure, the method further comprises notifying, by a notification unit, a user in case of the change in at least one of the health status information and the topology of the at least one database cluster.

[0009] In an exemplary aspect of the present disclosure, the change in the topology of the at least one database cluster comprises at least one of an addition, an updation, and a removal in one or more databases associated with the database cluster.
5 [0010] In an exemplary aspect of the present disclosure, the health status
information of database cluster includes performance metrics, node availability, and replication status.
[0011] In an exemplary aspect of the present disclosure, the identifying further
10 comprising selecting, by a selection unit, one service from the set of services if two
or more services of the set of services are selected for a single database of the at least one database cluster.
[0012] Another aspect of the present disclosure may relate to a system for
15 monitoring of one or more database clusters, the system comprising: a processing
unit configured to configure a plurality of services associated with a one or more database clusters to collect health status information of the one or more database clusters. The system further comprises the processing unit further configured to maintain a mapping of the one or more database clusters and corresponding health
20 status information in a memory. The system further comprises a transceiver unit
configured to receive via a user interface, a request for monitoring of at least one database cluster of the one or more database clusters. The system further comprises an identification unit configured to identify a set of services of the plurality of services available for monitoring of the at least one database cluster. The system
25 further comprises a monitoring unit configured to monitor the at least one database
cluster for a change in at least one of the health status information and a topology of the at least one database cluster. The system further comprises the processing unit is further configured to modify the mapping based on the monitored change in at least one of the health status information and the topology of the at least one
30 database cluster.
5

[0013] Yet another aspect of the present disclosure may relate to a non-transitory
computer readable storage medium storing one or more instructions for monitoring
of one or more database clusters, the instructions include executable code which,
when executed by one or more units of a system, causes a processing unit of the
5 system to configure a plurality of services associated with a one or more database
clusters to collect health status information of the one or more database clusters. Further, the instructions include executable code which, when executed causes the processing unit of the system to maintain a mapping of the one or more database clusters and corresponding health status information in a memory. Further, the
10 instructions include executable code which, when executed causes a transceiver unit
of the system to receive via a user interface, a request for monitoring of at least one database cluster of the one or more database clusters. Further, the instructions include executable code which, when executed causes an identification unit of the system to identify a set of services of the plurality of services available for
15 monitoring of the at least one database cluster. Further, the instructions include
executable code which, when executed causes a monitoring unit of the system to monitor the at least one database cluster for a change in at least one of the health status information and a topology of the at least one database cluster. Further, the instructions include executable code which, when executed causes the processing
20 unit of the system to modify the mapping based on the monitored change in at least
one of the health status information and the topology of the at least one database cluster.
OBJECTS OF THE DISCLOSURE
25
[0014] Some of the objects of the present disclosure, which at least one embodiment disclosed herein satisfies are listed herein below.
[0015] It is an object of the present disclosure to provide a system and a method for
30 monitoring of one or more database clusters.
6

[0016] It is another object of the present disclosure to provide a system and method for monitoring of one or more database clusters, that efficiently centralizes the monitoring of multiple database nodes, thereby minimizing resource usage and performance overhead. 5
[0017] It is another object of the present disclosure to provide a system and method for monitoring of one or more database clusters that dynamically detects and adapts to changes in cluster topology and configurations, ensuring real-time awareness of system health.
10
[0018] It is another object of the present disclosure to provide a system and method for monitoring of one or more database clusters that promptly identifies and notifies administrators about anomalies, performance degradation, or node failures, thereby minimizing system downtime.
15
[0019] It is another object of the present disclosure to provide a system and method for monitoring of one or more database clusters that can easily integrate new database clusters into the existing monitoring framework, facilitating scalability.
20 [0020] It is another object of the present disclosure to provide a system and method
for monitoring of one or more database clusters that automatically adjusts for optimal load balancing by routing user requests to the appropriate database service based on real-time data.
25 [0021] It is another object of the present disclosure to provide a system and method
for monitoring of one or more database clusters that eliminates the need for complex manual setup and configuration, enhancing the ease of use and reducing the chance of human error.
7

[0022] It is another object of the present disclosure to provide a system and method for monitoring of one or more database clusters that offers predictive insights into failover performance, aiding in the proactive management of system availability.
5 [0023] It is another object of the present disclosure to provide a system and method
for monitoring of one or more database clusters that utilizes algorithms to efficiently route user requests to the relevant monitoring service, ensuring seamless user experience.
10 [0024] It is another object of the present disclosure to provide a system and method
for monitoring of one or more database clusters that employs a push-notification mechanism or other configured channels to alert users or administrators about changes in cluster health or topology.
15 [0025] It is yet another object of the present disclosure to provide a system and
method for monitoring of one or more database clusters that can operate without service interruptions, even when clusters are added or removed, maintaining the continuity and integrity of the monitoring process.
20 DESCRIPTION OF THE DRAWINGS
[0026] The accompanying drawings, which are incorporated herein, and constitute a part of this disclosure, illustrate exemplary embodiments of the disclosed methods and systems in which like reference numerals refer to the same parts throughout the
25 different drawings. Components in the drawings are not necessarily to scale,
emphasis instead being placed upon clearly illustrating the principles of the present disclosure. Also, the embodiments shown in the figures are not to be construed as limiting the disclosure, but the possible variants of the method and system according to the disclosure are illustrated herein to highlight the advantages of the
30 disclosure. It will be appreciated by those skilled in the art that disclosure of such
8

drawings includes disclosure of electrical components or circuitry commonly used to implement such components.
[0027] FIG. 1 illustrates an exemplary block diagram representation of 5th
5 generation core (5GC) network architecture.;
[0028] FIG. 2 illustrates an exemplary block diagram of a computing device upon which the features of the present disclosure may be implemented in accordance with exemplary implementation of the present disclosure; 10
[0029] FIG. 3 illustrates an exemplary block diagram of a system for monitoring of one or more database clusters, in accordance with exemplary implementations of the present disclosure;
15 [0030] FIG. 4 illustrates an exemplary flow diagram for monitoring of one or more
database clusters, in accordance with exemplary implementations of the present disclosure;
[0031] FIG. 5 illustrates a flow diagram of an exemplary method for monitoring of
20 one or more database clusters, in accordance with exemplary implementations of
the present disclosure and
[0032] FIG. 6 illustrates an exemplary flow diagram for monitoring of one or more
database clusters, in accordance with exemplary implementations of the present
25 disclosure.
[0033] The foregoing shall be more apparent from the following more detailed description of the disclosure.
30 DETAILED DESCRIPTION
9

[0034] In the following description, for the purposes of explanation, various
specific details are set forth in order to provide a thorough understanding of
embodiments of the present disclosure. It will be apparent, however, that
embodiments of the present disclosure may be practiced without these specific
5 details. Several features described hereafter may each be used independently of one
another or with any combination of other features. An individual feature may not address any of the problems discussed above or might address only some of the problems discussed above.
10 [0035] The ensuing description provides exemplary embodiments only, and is not
intended to limit the scope, applicability, or configuration of the disclosure. Rather, the ensuing description of the exemplary embodiments will provide those skilled in the art with an enabling description for implementing an exemplary embodiment. It should be understood that various changes may be made in the function and
15 arrangement of elements without departing from the spirit and scope of the
disclosure as set forth.
[0036] Specific details are given in the following description to provide a thorough
understanding of the embodiments. However, it will be understood by one of
20 ordinary skill in the art that the embodiments may be practiced without these
specific details. For example, circuits, systems, processes, and other components may be shown as components in block diagram form in order not to obscure the embodiments in unnecessary detail.
25 [0037] Also, it is noted that individual embodiments may be described as a process
which is depicted as a flowchart, a flow diagram, a data flow diagram, a structure diagram, or a block diagram. Although a flowchart may describe the operations as a sequential process, many of the operations may be performed in parallel or concurrently. In addition, the order of the operations may be re-arranged. A process
30 is terminated when its operations are completed but could have additional steps not
included in a figure.
10

[0038] The word “exemplary” and/or “demonstrative” is used herein to mean
serving as an example, instance, or illustration. For the avoidance of doubt, the
subject matter disclosed herein is not limited by such examples. In addition, any
5 aspect or design described herein as “exemplary” and/or “demonstrative” is not
necessarily to be construed as preferred or advantageous over other aspects or
designs, nor is it meant to preclude equivalent exemplary structures and techniques
known to those of ordinary skill in the art. Furthermore, to the extent that the terms
“includes,” “has,” “contains,” and other similar words are used in either the detailed
10 description or the claims, such terms are intended to be inclusive—in a manner
similar to the term “comprising” as an open transition word—without precluding any additional or other elements.
[0039] As used herein, a “processing unit” or “processor” or “operating processor”
15 includes one or more processors, wherein processor refers to any logic circuitry for
processing instructions. A processor may be a general-purpose processor, a special purpose processor, a conventional processor, a digital signal processor, a plurality of microprocessors, one or more microprocessors in association with a Digital Signal Processing (DSP) core, a controller, a microcontroller, Application Specific
20 Integrated Circuits, Field Programmable Gate Array circuits, any other type of
integrated circuits, etc. The processor may perform signal coding data processing, input/output processing, and/or any other functionality that enables the working of the system according to the present disclosure. More specifically, the processor or processing unit is a hardware processor.
25
[0040] As used herein, “a user equipment”, “a user device”, “a smart-user-device”, “a smart-device”, “an electronic device”, “a mobile device”, “a handheld device”, “a wireless communication device”, “a mobile communication device”, “a communication device” may be any electrical, electronic and/or computing device
30 or equipment, capable of implementing the features of the present disclosure. The
user equipment/device may include, but is not limited to, a mobile phone, smart
11

phone, laptop, a general-purpose computer, desktop, personal digital assistant,
tablet computer, wearable device or any other computing device which is capable
of implementing the features of the present disclosure. Also, the user device may
contain at least one input means configured to receive an input from unit(s) which
5 are required to implement the features of the present disclosure.
[0041] As used herein, “storage unit” or “memory unit” refers to a machine or computer-readable medium including any mechanism for storing information in a form readable by a computer or similar machine. For example, a computer-readable
10 medium includes read-only memory (“ROM”), random access memory (“RAM”),
magnetic disk storage media, optical storage media, flash memory devices or other types of machine-accessible storage media. The storage unit stores at least the data that may be required by one or more units of the system to perform their respective functions.
15
[0042] As used herein “interface” or “user interface refers to a shared boundary across which two or more separate components of a system exchange information or data. The interface may also be referred to a set of rules or protocols that define communication or interaction of one or more modules or one or more units with
20 each other, which also includes the methods, functions, or procedures that may be
called.
[0043] All modules, units, components used herein, unless explicitly excluded herein, may be software modules or hardware processors, the processors being a
25 general-purpose processor, a special purpose processor, a conventional processor, a
digital signal processor (DSP), a plurality of microprocessors, one or more microprocessors in association with a DSP core, a controller, a microcontroller, Application Specific Integrated Circuits (ASIC), Field Programmable Gate Array circuits (FPGA), any other type of integrated circuits, etc.
30
12

[0044] As used herein the transceiver unit include at least one receiver and at least one transmitter configured respectively for receiving and transmitting data, signals, information or a combination thereof between units/components within the system and/or connected with the system. 5
[0045] As discussed in the background section, the current known solutions have several shortcomings. The present disclosure aims to overcome the above-mentioned and other existing problems in this field of technology by providing method and system of monitoring of one or more database clusters. One of the key
10 problems in the existing solutions is that the traditional tools lack the capability for
adaptive monitoring of clustered databases, which significantly limits the insight they can provide into these complex architectures. Such tools often treat each node as an isolated entity, failing to capture the intricate interactions and dependencies that exist within clustered setups. Consequently, this results in a fragmented and
15 incomplete understanding of the system's behaviour, making it difficult to
proactively manage and mitigate issues.
[0046] Further, there's a limitation concerning awareness of dynamic cluster changes. Traditional tools usually don't have a mechanism to automatically detect
20 alterations in cluster configurations. In a rapidly evolving ecosystem like 5G, where
network elements and database clusters are frequently scaled up or down, this leads to delays in detecting important changes. The lack of real-time awareness can have a cascading impact, contributing to the next problem—missed failures and extended downtime. Furthermore, the absence of adaptive clustering monitoring in prior art
25 increases the probability of missing crucial events like replication failures, node
outages, or more broadly, cluster-wide issues. Timely detection of these problems is vital for ensuring high availability and resilience, particularly in 5G Core ecosystems where downtime can lead to significant revenue loss and degrade user experience. Lastly, the prior art involves complex manual setup procedures that are
30 not only time-consuming but also prone to errors. Administrators have to manually
configure each database node, adjust firewall rules, and set up routing, making the
13

process cumbersome and fraught with risks. This complexity detracts from the system's overall efficiency and can be a significant hurdle for organizations that require agile operations.
5 [0047] Therefore, the shortcomings in prior art create a compelling need for a more
sophisticated, adaptive, and automated solution for database cluster monitoring, particularly in the context of 5G networks where high availability, real-time monitoring, and adaptability are not just desirable but essential.
10 [0048] Hereinafter, exemplary embodiments of the present disclosure will be
described with reference to the accompanying drawings.
[0049] FIG. 1 illustrates an exemplary block diagram representation of 5th generation core (5GC) network architecture, in accordance with exemplary
15 implementation of the present disclosure. As shown in FIG. 1, the 5GC network
architecture [100] includes a user equipment (UE) [102], a radio access network (RAN) [104], an access and mobility management function (AMF) [106], a Session Management Function (SMF) [108], a Service Communication Proxy (SCP) [110], an Authentication Server Function (AUSF) [112], a Network Slice Specific
20 Authentication and Authorization Function (NSSAAF) [114], a Network Slice
Selection Function (NSSF) [116], a Network Exposure Function (NEF) [118], a Network Repository Function (NRF) [120], a Policy Control Function (PCF) [122], a Unified Data Management (UDM) [124], an application function (AF) [126], a User Plane Function (UPF) [128], a data network (DN) [130], wherein all the
25 components are assumed to be connected to each other in a manner as obvious to
the person skilled in the art for implementing features of the present disclosure.
[0050] Radio Access Network (RAN) [104] is the part of a mobile
telecommunications system that connects user equipment (UE) [102] to the core
30 network (CN) and provides access to different types of networks (e.g., 5G network).
14

It consists of radio base stations and the radio access technologies that enable wireless communication.
[0051] Access and Mobility Management Function (AMF) [106] is a 5G core
5 network function responsible for managing access and mobility aspects, such as UE
registration, connection, and reachability. It also handles mobility management procedures like handovers and paging.
[0052] Session Management Function (SMF) [108] is a 5G core network function
10 responsible for managing session-related aspects, such as establishing, modifying,
and releasing sessions. It coordinates with the User Plane Function (UPF) for data forwarding and handles IP address allocation and QoS enforcement.
[0053] Service Communication Proxy (SCP) [110] is a network function in the
15 5G core network that facilitates communication between other network functions
by providing a secure and efficient messaging service. It acts as a mediator for service-based interfaces.
[0054] Authentication Server Function (AUSF) [112] is a network function in
20 the 5G core responsible for authenticating UEs during registration and providing
security services. It generates and verifies authentication vectors and tokens.
[0055] Network Slice Specific Authentication and Authorization Function
(NSSAAF) [114] is a network function that provides authentication and
25 authorization services specific to network slices. It ensures that UEs can access only
the slices for which they are authorized.
[0056] Network Slice Selection Function (NSSF) [116] is a network function
responsible for selecting the appropriate network slice for a UE based on factors
30 such as subscription, requested services, and network policies.
15

[0057] Network Exposure Function (NEF) [118] is a network function that exposes capabilities and services of the 5G network to external applications, enabling integration with third-party services and applications.
5 [0058] Network Repository Function (NRF) [120] is a network function that acts
as a central repository for information about available network functions and services. It facilitates the discovery and dynamic registration of network functions.
[0059] Policy Control Function (PCF) [122] is a network function responsible for
10 policy control decisions, such as QoS, charging, and access control, based on
subscriber information and network policies.
[0060] Unified Data Management (UDM) [124] is a network function that
centralizes the management of subscriber data, including authentication,
15 authorization, and subscription information.
[0061] Application Function (AF) [126] is a network function that represents external applications interfacing with the 5G core network to access network capabilities and services. 20
[0062] User Plane Function (UPF) [128] is a network function responsible for handling user data traffic, including packet routing, forwarding, and QoS enforcement.
25 [0063] Data Network (DN) [130] refers to a network that provides data services
to user equipment (UE) in a telecommunications system. The data services may include but are not limited to Internet services, private data network related services.
[0064] The 5GC network architecture also comprises a plurality of interfaces for
30 connecting the network functions with a network entity for performing the network
functions. The NSSF [116] is connected with the network entity via the interface
16

denoted as (Nnssf) interface in FIG. 1. The NEF [118] is connected with the network
entity via the interface denoted as (Nnef) interface in FIG 1. The NRF [120] is
connected with the network entity via the interface denoted as (Nnrf) interface in
FIG. 1. The PCF [122] is connected with the network entity via the interface
5 denoted as (Npcf) interface in FIG. 1. The UDM [124] is connected with the
network entity via the interface denoted as (Nudm) interface in FIG. 1. The AF [126] is connected with the network entity via the interface denoted as (Naf) interface in FIG. 1. The NSSAAF [114] is connected with the network entity via the interface denoted as (Nnssaaf) interface in FIG. 1. The AUSF [112] is connected
10 with the network entity via the interface denoted as (Nausf) interface in FIG. 1. The
AMF [106] is connected with the network entity via the interface denoted as (Namf) interface in FIG. 1. The SMF [108] is connected with the network entity via the interface denoted as (Nsmf) interface in FIG. 1. The SMF [108] is connected with the UPF [128] via the interface denoted as (N4) interface in FIG. 1. The UPF [128]
15 is connected with the RAN [104] via the interface denoted as (N3) interface in FIG.
1. The UPF [128] is connected with the DN [130] via the interface denoted as (N6) interface in FIG. 1. The RAN [104] is connected with the AMF [106] via the interface denoted as (N2). The AMF [106] is connected with the RAN [104] via the interface denoted as (N1). The UPF [128] is connected with other UPF [128] via
20 the interface denoted as (N9). The interfaces such as Nnssf, Nnef, Nnrf, Npcf,
Nudm, Naf, Nnssaaf, Nausf, Namf, Nsmf, N9, N6, N4, N3, N2, and N1 can be referred to as a communication channel between one or more functions or modules for enabling exchange of data or information between such functions or modules, and network entities.
25
[0065] FIG. 2 illustrates an exemplary block diagram of a computing device [200] upon which the features of the present disclosure may be implemented in accordance with exemplary implementation of the present disclosure. In an implementation, the computing device [200] may also implement a method for
30 monitoring of one or more database clusters, utilising a system. In another
implementation, the computing device [200] itself implements the method for
17

monitoring of one or more database clusters, using one or more units configured within the computing device [200], wherein said one or more units are capable of implementing the features as disclosed in the present disclosure.
5 [0066] The computing device [200] may include a bus [202] or other
communication mechanism for communicating information, and a hardware
processor [204] coupled with bus [202] for processing information. The hardware
processor [204] may be, for example, a general-purpose microprocessor. The
computing device [200] may also include a main memory [206], such as a random-
10 access memory (RAM), or other dynamic storage device, coupled to the bus [202]
for storing information and instructions to be executed by the processor [204]. The
main memory [206] also may be used for storing temporary variables or other
intermediate information during execution of the instructions to be executed by the
processor [204]. Such instructions, when stored in non-transitory storage media
15 accessible to the processor [204], render the computing device [200] into a special-
purpose machine that is customized to perform the operations specified in the
instructions. The computing device [200] further includes a read only memory
(ROM) [208] or other static storage device coupled to the bus [202] for storing static
information and instructions for the processor [204].
20
[0067] A storage device [210], such as a magnetic disk, optical disk, or solid-state
drive is provided and coupled to the bus [202] for storing information and
instructions. The computing device [200] may be coupled via the bus [202] to a
display [212], such as a cathode ray tube (CRT), Liquid crystal Display (LCD),
25 Light Emitting Diode (LED) display, Organic LED (OLED) display, etc. for
displaying information to a computer user. An input device [214], including
alphanumeric and other keys, touch screen input means, etc. may be coupled to the
bus [202] for communicating information and command selections to the processor
[204]. Another type of user input device may be a cursor controller [216], such as a
30 mouse, a trackball, or cursor direction keys, for communicating direction
information and command selections to the processor [204], and for controlling
18

cursor movement on the display [212]. This input device typically has two degrees of freedom in two axes, a first axis (e.g., x) and a second axis (e.g., y), that allow the device to specify positions in a plane.
5 [0068] The computing device [200] may implement the techniques described
herein using customized hard-wired logic, one or more ASICs or FPGAs, firmware and/or program logic which in combination with the computing device [200] causes or programs the computing device [200] to be a special-purpose machine. According to one implementation, the techniques herein are performed by the
10 computing device [200] in response to the processor [204] executing one or more
sequences of one or more instructions contained in the main memory [206]. Such instructions may be read into the main memory [206] from another storage medium, such as the storage device [210]. Execution of the sequences of instructions contained in the main memory [206] causes the processor [204] to perform the
15 process steps described herein. In alternative implementations of the present
disclosure, hard-wired circuitry may be used in place of or in combination with software instructions.
[0069] The computing device [200] also may include a communication interface
20 [218] coupled to the bus [202]. The communication interface [218] provides a two-
way data communication coupling to a network link [220] that is connected to a
local network [222]. For example, the communication interface [218] may be an
integrated services digital network (ISDN) card, cable modem, satellite modem, or
a modem to provide a data communication connection to a corresponding type of
25 telephone line. As another example, the communication interface [218] may be a
local area network (LAN) card to provide a data communication connection to a
compatible LAN. Wireless links may also be implemented. In any such
implementation, the communication interface [218] sends and receives electrical,
electromagnetic or optical signals that carry digital data streams representing
30 various types of information.
19

[0070] The computing device [200] can send messages and receive data, including
program code, through the network(s), the network link [220] and the
communication interface [218]. In the Internet example, a server [230] might
transmit a requested code for an application program through the Internet [228], the
5 ISP [226], the local network [222], a host [224] and the communication interface
[218]. The received code may be executed by the processor [204] as it is received, and/or stored in the storage device [210], or other non-volatile storage for later execution.
10 [0071] Referring to FIG. 3, an exemplary block diagram of a system [300] for
monitoring of one or more database clusters, is shown, in accordance with the exemplary implementations of the present disclosure.
[0072] In one example, the system [300] may be in communication with other
15 network entities/components known to a person skilled in the art. Such network
entities/components have not been depicted in FIG. 3 and have not been explained here for the sake of brevity.
[0073] Further, FIG. 4 illustrates an exemplary flow diagram of a system for
20 monitoring of one or more database clusters, in accordance with exemplary
implementations of the present disclosure.
[0074] It may be noted that FIG. 3 and FIG. 4 have been explained simultaneously and may be read in conjunction with each other.
25
[0075] As depicted in FIG. 3, the system [300] comprises at least one processing unit [302], at least one transceiver unit [304], at least one identification unit [306], at least one monitoring unit [308], at least one notification unit [310] and at least one selection unit [312]. Also, all of the components/ units of the system [300] are
30 assumed to be connected to each other unless otherwise indicated below. As shown
in FIG.3, all units shown within the system [300] should also be assumed to be
20

connected to each other. Also, in FIG. 3, only a few units are shown, however, the
system [300] may comprise multiple such units or the system [300] may comprise
any such numbers of said units, as required to implement the features of the present
disclosure. Further, in an implementation, the system [300] may be present in a user
5 device/ user equipment [102] to implement the features of the present disclosure.
The system [300] may be a part of the user device [102]/ or may be independent of
but in communication with the user device [102] (may also referred herein as a UE).
In another implementation, the system [300] may reside in a server or a network
entity. In yet another implementation, the system [300] may reside partly in the
10 server/ network entity and partly in the user device.
[0076] The system [300] is configured for monitoring of one or more database clusters, with the help of the interconnection between the components/units of the system [300].
15
[0077] In an implementation of the present disclosure, the term refers herewith ‘database clusters’ is the groups of databases that are managed and monitored collectively. Examples of such database clusters may include, but are not limited to, Nosql databases such as mongodb cluster/redis/kafka/cassandra, Oracle. It may
20 be noted that such database clusters are only exemplary, and in no manner construed
to limit the scope of the present subject matter in any manner. As would be explained in the foregoing description, the health status and topology of these clusters are tracked to confirm their proper functioning.
25 [0078] In operation, the processing unit [302] may configure a plurality of services
associated with a one or more database clusters to collect health status information of the one or more database clusters.
[0079] In the context of the present invention, the database clusters may refer to a
30 group of databases. In a database cluster, different databases may be linked together
to operate as a single entity, for providing different functionalities.
21

[0080] Further, the services associated with the database clusters may refer to
various processes or functions that are capable of monitoring different aspects such
as health status, performance, or topology of different database clusters. Examples
5 of such services may include, but are not limited to, monitoring services for
database uptime, data replication status, and resource usage. Furthermore, the set of services include various monitoring tools like performance analysers, alerting systems, or logging mechanisms.
10 [0081] In one example, for configuring the plurality of services, the system [300]
may determine whether to configure a new set of services or modify an existing set of services for the database cluster. In cases when there is already a service configured for the specific database cluster, the system [300] may update the new service details in the already configured existing services. This ensures that the
15 monitoring and management capabilities are current.
[0082] On the other hand, in cases when the is no service already configured, the
system [300] may create a new set of services. The creation of the new set of
services links the database cluster with the newly configured service, confirming
20 that the database cluster can be monitored and managed according to the configured
parameters.
[0083] However, it may be noted that the aforementioned technique for configuring
the plurality of services is only exemplary, and in no manner is construed to limit
25 the scope of the present subject matter in any manner. Any other techniques, known
to a person skilled in the art, may also be used for configuring the plurality of services associated with the one or more database clusters. All such examples would lie within the scope of the present subject matter.
22

[0084] Continuing further, the processing unit [302] may maintain a mapping of the one or more database clusters and corresponding health status information in a memory.
5 [0085] In an implementation of the present disclosure, the processing unit [302]
maintains a mapping, which refers to an ongoing record or database that tracks each database cluster along with its current health status information. This data may be stored in a memory, confirming it is always accessible and up to date for monitoring purposes. 10
[0086] In one example, the health status information of database cluster includes performance metrics, node availability, and replication status.
[0087] The performance metrics provide insights into how well a database or
15 database cluster is operating. They help identify bottlenecks, inefficiencies, or
potential failures. The node availability refers to the operational status of individual nodes (servers) within a database cluster. It indicates whether each node is online and capable of processing requests. The replication status indicates the current state of data replication processes within the database cluster. 20
[0088] Thereafter, as per the present subject matter, the transceiver unit [304] may receive, via a user interface, a request for monitoring of at least one database cluster of the one or more database clusters. This has been depicted by Step 402 in FIG. 4.
25 [0089] In an implementation of the present disclosure, this request may be for
monitoring specific aspects of a database cluster. The transceiver unit [304] then communicate this request to the processing unit [302] for action.
[0090] Continuing further, thereafter, the identification unit [306] may identify a
30 set of services of the plurality of services available for monitoring of the at least
one database cluster. This has been depicted by Step 404 in FIG. 4.
23

[0091] In an implementation of the present disclosure, the identification unit [306]
may identify which services are available for monitoring a specific database cluster.
This involves selecting the appropriate monitoring tools or processes from the
5 available services based on the request received.
[0092] In one example, the identification unit [306] may use an algorithm designed
to identify or discover the appropriate service mapping for the requested database
cluster. This mapping indicates which services are associated with the specific
10 database cluster in question.
[0093] Continuing further, in one example, in cases where no services are available
for monitoring the database cluster, the process may terminate and the system [500]
logs an error and sends an appropriate response back to the requester. This has been
15 depicted by Step 406 in FIG. 4. This may indicate that the system [500] may be
unable to fulfil the request,
[0094] Continuing further, upon determining that services for monitoring the
database cluster are available and identifying such services, the process may
20 proceed forward. The selection unit [312] may then select one or more such
services.
[0095] In one example, for selection of the set of services, a further determination
may be made to determine if multiple services are available for a single database of
25 the database cluster. This has been depicted by Step 408 in FIG. 4. In an example,
the selection unit [312] may select one service from the set of services if two or more services of the set of services are selected for a single database of the at least one database cluster. This has been depicted by Step 410 in FIG. 4.
30 [0096] For example, when multiple services are available for a single database
within a cluster, the selection unit [312] selects the most appropriate service to
24

perform the monitoring or management task. This confirms that the chosen service aligns with the user’s requirements of the database.
[0097] In one example, the selection unit [312] may apply a selection algorithm to
5 determine which service is the most appropriate for handling the request. The best
suited service is chosen based on specific criteria such as performance, availability, or other factors.
[0098] In cases when only one service is available, the request is routed directly to
10 that service. This has been depicted by Step 412 in FIG. 4.
[0099] Continuing further, once the appropriate service is selected, the system,
when required, routes the request to that service for execution. For example, as
would be described further in the foregoing description, the selected service may
15 be used to processes the request, such as monitoring the database cluster, updating
the health status, or making configuration changes.
[0100] Continuing further, the monitoring unit [308] may monitor the at least one
database cluster for a change in at least one of the health status information and a
20 topology of the at least one database cluster.
[0101] In an implementation of the present disclosure, the monitoring unit [308]
observes the database cluster for any changes in its health status or topology. This
may involve checking for system faults, performance degradation, or structural
25 changes like the addition or removal of databases.
[0102] In one example, the change in the topology of the at least one database cluster comprises at least one of an addition, an updation and a removal in one or more databases associated with the database cluster. 30
25

[0103] In another example, a notification unit [310] configured to notify a user in
case of the change in at least one of the health status information and the topology
of the at least one database cluster. In one example, the notification unit [310] may
transmit a message to the user, via a user interface of the system [300], indicating
5 the change in one of the health status information and the topology of the database
cluster. The user may be a network administrator operating the network management system.
[0104] Continuing further, the processing unit [302] is further configured to modify
10 the mapping based on the monitored change in at least one of the health status
information and the topology of the at least one database cluster.
[0105] In an implementation of the present disclosure, the processing unit [302]
updates the mapping of database clusters based on the changes detected by the
15 monitoring unit [308].
[0106] For example, if a database is added or removed, the processing unit [302] updates the mapping to reflect this new configuration.
20 [0107] Referring to FIG. 5, an exemplary method flow diagram [500] for
monitoring of one or more database clusters, in accordance with exemplary implementations of the present disclosure is shown. In an implementation the method [500] is performed by the system [300]. Further, in an implementation, the system [300] may be present in a server device to implement the features of the
25 present disclosure. Also, as shown in FIG. 5, the method [500] starts at step [502].
[0108] At step [504], the method [500] comprises configuring, by a processing unit [302], a plurality of services associated with a one or more database clusters to collect health status information of the one or more database clusters. 30
26

[0109] In operation, the processing unit [302] may configure a plurality of services associated with a one or more database clusters to collect health status information of the one or more database clusters.
5 [0110] In one example, for configuring the plurality of services, the system [300]
may determine whether to configure a new set of services or modify an existing set
of services for the database cluster. In cases when there is already a service
configured for the specific database cluster, the system [300] may update the new
service details in the already configured existing services. This ensures that the
10 monitoring and management capabilities are current.
[0111] On the other hand, in cases when the is no service already configured, the
system [300] may create a new set of services. The creation of the new set of
services links the database cluster with the newly configured service, confirming
15 that the database cluster can be monitored and managed according to the configured
parameters.
[0112] However, it may be noted that the aforementioned technique for configuring
the plurality of services is only exemplary, and in no manner is construed to limit
20 the scope of the present subject matter in any manner. Any other techniques, known
to a person skilled in the art, may also be used for configuring the plurality of services associated with the one or more database clusters. All such examples would lie within the scope of the present subject matter.
25 [0113] At step [506], the method [500] comprises maintaining, by the processing
unit [302], a mapping of the one or more database clusters and corresponding health status information in a memory.
[0114] Continuing further, the processing unit [302] may maintain a mapping of
30 the one or more database clusters and corresponding health status information in a
memory.
27

[0115] In an implementation of the present disclosure, the processing unit [302]
maintains a mapping, which refers to an ongoing record or database that tracks each
database cluster along with its current health status information. This data may be
5 stored in a memory, confirming it is always accessible and up to date for monitoring
purposes.
[0116] In one example, the health status information of database cluster includes performance metrics, node availability, and replication status. 10
[0117] At step [508], the method [500] comprises receiving, by a transceiver unit [304] via a user interface, a request for monitoring of at least one database cluster of the one or more database clusters.
15 [0118] Thereafter, as per the present subject matter, the transceiver unit [304] may
receive, via a user interface, a request for monitoring of at least one database cluster of the one or more database clusters.
[0119] In an implementation of the present disclosure, this request may be for
20 monitoring specific aspects of a database cluster. The transceiver unit [304] then
communicate this request to the processing unit [302] for action.
[0120] At step [510], the method [500] comprises identifying, by an identification
unit [306], a set of services of the plurality of services available for monitoring of
25 the at least one database cluster.
[0121] Continuing further, thereafter, the identification unit [306] may identify a set of services of the plurality of services available for monitoring of the at least one database cluster. 30
28

[0122] In an implementation of the present disclosure, the identification unit [306] may identify which services are available for monitoring a specific database cluster. This involves selecting the appropriate monitoring tools or processes from the available services based on the request received. 5
[0123] In one example, the identification unit [306] may use an algorithm designed to identify or discover the appropriate service mapping for the requested database cluster. This mapping indicates which services are associated with the specific database cluster in question.
10
[0124] Continuing further, in one example, in cases where no services are available for monitoring the database cluster, the process may terminate and the system logs an error and sends an appropriate response back to the requester. This may indicate that the system may be unable to fulfil the request,
15
[0125] Continuing further, upon determining that services for monitoring the database cluster are available and identifying such services, the process may proceed forward. The selection unit [312] may then select one or more such services.
20
[0126] In one example, for selection of the set of services, a further determination may be made to determine if multiple services are available for a single database of the database cluster. In an example, the selection unit [312] may select one service from the set of services if two or more services of the set of services are selected
25 for a single database of the at least one database cluster.
[0127] For example, when multiple services are available for a single database
within a cluster, the selection unit [312] selects the most appropriate service to
perform the monitoring or management task. This confirms that the chosen service
30 aligns with the user’s requirements of the database.
29

[0128] In one example, the selection unit [312] may apply a selection algorithm to determine which service is the most appropriate for handling the request. The best suited service is chosen based on specific criteria such as performance, availability, or other factors. 5
[0129] In cases when only one service is available, the request is routed directly to that service.
[0130] Continuing further, once the appropriate service is selected, the system,
10 when required, routes the request to that service for execution. For example, as
would be described further in the foregoing description, the selected service may be used to processes the request, such as monitoring the database cluster, updating the health status, or making configuration changes.
15 [0131] At step [512], the method [500] comprises monitoring, by a monitoring unit
[308], the at least one database cluster for a change in at least one of the health status information and a topology of the at least one database cluster.
[0132] Continuing further, the monitoring unit [308] may monitor the at least one
20 database cluster for a change in at least one of the health status information and a
topology of the at least one database cluster.
[0133] In an implementation of the present disclosure, the monitoring unit [308]
observes the database cluster for any changes in its health status or topology. This
25 may involve checking for system faults, performance degradation, or structural
changes like the addition or removal of databases.
[0134] In one example, the change in the topology of the at least one database
cluster comprises at least one of an addition, an updation and a removal in one or
30 more databases associated with the database cluster.
30

[0135] In another example, a notification unit [310] configured to notify a user in case of the change in at least one of the health status information and the topology of the at least one database cluster.
5 [0136] At step [514], the method [500] comprises modifying, by the processing unit
[302], the mapping based on the monitored change in at least one of the health status information and the topology of the at least one database cluster.
[0137] Continuing further, the processing unit [302] is further configured to modify
10 the mapping based on the monitored change in at least one of the health status
information and the topology of the at least one database cluster.
[0138] In an implementation of the present disclosure, the processing unit [302]
updates the mapping of database clusters based on the changes detected by the
15 monitoring unit [308].
[0139] For example, if a database is added or removed, the processing unit [302] updates the mapping to reflect this new configuration.
20 [0140] Thereafter, the method terminates at step [516].
[0141] FIG. 6 illustrates an exemplary architecture diagram for monitoring of one or more database clusters, in accordance with exemplary implementations of the present disclosure. 25
[0142] It may be noted that the foregoing description of the FIG. 6 may be read and understood in conjunction with the descriptions of FIGS. 3-5.
[0143] Users (User A, User B, User C): These are the end-users interacting with
30 the system through a User Interface. Each user can request specific operations
related to different database clusters, such as monitoring or configuring services.
31

[0144] User Interface [602]: The user interface [602] acts as the intermediary between the users and the system’s backend services. It collects user requests and sends them to the Manager Service for further processing. 5
[0145] Manager Service [604]: The manager service [604] coordinates and manages the operations requested by the users. It is responsible for identifying the appropriate Database Service for each request and routing the requests accordingly.
10 [0146] Database Services (A, B, C): Database A Service, Database B Service, and
Database C Service are specialized services that manage specific database clusters (A, B, C). These services monitor the health status and topology of their respective clusters. Each service interacts with its corresponding Database Cluster to gather health status information, perform updates, and ensure the cluster’s integrity.
15
[0147] Database Clusters (A, B, C): Database A Cluster, Database B Cluster, and Database C Cluster represent the actual databases that are being monitored and managed. These clusters consist of multiple interconnected databases, and their health and performance are crucial to the system’s operation.
20
[0148] Centralized Data Repository [606]: The centralized data repository [606] is where data collected from various database clusters is normalized and stored. This repository ensures that data is in a standard format, making it easier to analyse and manage.
25
[0149] Notification Service [608]: The notification service [608] sends alerts to users when specific events occur, such as changes in the health status or topology of the database clusters. This service ensures that users are informed in real-time about important changes.
30
32

[0150] The users interact with the system through the user interface [602], where they submit requests for monitoring or configuring database clusters. The user interface [602] forwards these requests to the manager service [604], which determines which database service is responsible for handling the specific database cluster associated with the request. The manager service [604] then routes the request to the appropriate database service (A, B, or C). These services directly interact with their corresponding database clusters to fulfil the request. The data collected from the database clusters, such as performance metrics, node availability, and replication status, is normalized and stored in the centralized data repository [606]. If any significant changes or events are detected during the monitoring process, the notification service [608] alerts the users.
[0151] The present disclosure further discloses a non-transitory computer readable storage medium storing one or more instructions for monitoring of one or more database clusters, the instructions include executable code which, when executed by one or more units of a system [300], causes a processing unit [302] of the system [300] to configure a plurality of services associated with a one or more database clusters to collect health status information of the one or more database clusters. Further, the instructions include executable code which, when executed causes the processing unit [302] of the system [300] to maintain a mapping of the one or more database clusters and corresponding health status information in a memory. Further, the instructions include executable code which, when executed causes a transceiver unit [304] of the system [300] to receive via a user interface, a request for monitoring of at least one database cluster of the one or more database clusters. Further, the instructions include executable code which, when executed causes an identification unit [306] of the system [300] to identify a set of services of the plurality of services available for monitoring of the at least one database cluster. Further, the instructions include executable code which, when executed causes a monitoring unit [308] of the system [300] to monitor the at least one database cluster for a change in at least one of the health status information and a topology of the at least one database cluster. Further, the instructions include executable code which,

when executed causes the processing unit [302] of the system [300]to modify the mapping based on the monitored change in at least one of the health status information and the topology of the at least one database cluster.
[0152] As is evident from the above, the present disclosure provides a technically advanced solution for monitoring of one or more database clusters. The present solution provides a centralized monitoring system with adaptive capabilities, addressing the limitations of existing tools in managing complex database architectures. The present invention solves these issues by enabling real-time monitoring and immediate detection of changes in cluster configurations. Additionally, the present invention reduces the risk of missed failures and extended downtime by promptly identifying replication failures, node outages, and other cluster-wide issues
[0153] While considerable emphasis has been placed herein on the disclosed implementations, it will be appreciated that many implementations can be made and that many changes can be made to the implementations without departing from the principles of the present disclosure. These and other changes in the implementations of the present disclosure will be apparent to those skilled in the art, whereby it is to be understood that the foregoing descriptive matter to be implemented is illustrative and non-limiting.
[0154] Further, in accordance with the present disclosure, it is to be acknowledged that the functionality described for the various components/units can be implemented interchangeably. While specific embodiments may disclose a particular functionality of these units for clarity, it is recognized that various configurations and combinations thereof are within the scope of the disclosure. The functionality of specific units as disclosed in the disclosure should not be construed as limiting the scope of the present disclosure. Consequently, alternative arrangements and substitutions of units, provided they achieve the intended

functionality described herein, are considered to be encompassed within the scope of the present disclosure.

We Claim:
1. A method [500] for monitoring of one or more database clusters, the method
[500] comprising:
- configuring [504], by a processing unit [302], a plurality of services associated with a one or more database clusters to collect health status information of the one or more database clusters;
- maintaining [506], by the processing unit [302], a mapping of the one or more database clusters and corresponding health status information in a memory;
- receiving [508], by a transceiver unit [304] via a user interface, a request for monitoring of at least one database cluster of the one or more database clusters;
- identifying [510], by an identification unit [306], a set of services of the plurality of services available for monitoring of the at least one database cluster;
- monitoring [512], by a monitoring unit [308], the at least one database cluster for a change in at least one of the health status information and a topology of the at least one database cluster; and
- modifying [514], by the processing unit [302], the mapping based on the monitored change in at least one of the health status information and the topology of the at least one database cluster.

2. The method [500] as claimed in claim 1, further comprising: notifying, by a notification unit [310], a user in case of the change in at least one of the health status information and the topology of the at least one database cluster.
3. The method [500] as claimed in claim 1, wherein the change in the topology of the at least one database cluster comprises at least one of an addition, an updation, and a removal in one or more databases associated with the database cluster.

4. The method [500] as claimed in claim 1, wherein the health status information of database cluster includes performance metrics, node availability, and replication status.
5. The method [500] as claimed in claim 1, wherein the identifying further comprising selecting, by a selection unit [312], one service from the set of services if two or more services of the set of services are selected for a single database of the at least one database cluster.
6. A system [300] for monitoring of one or more database clusters, the system
[300] comprising:
- a processing unit [302] configured to:
o configure a plurality of services associated with a one or more database clusters to collect health status information of the one or more database clusters; and
o maintain a mapping of the one or more database clusters and corresponding health status information in a memory;
- a transceiver unit [304] configured to receive via a user interface, a request for monitoring of at least one database cluster of the one or more database clusters;
- an identification unit [306] configured to identify a set of services of the plurality of services available for monitoring of the at least one database cluster;
- a monitoring unit [308] configured to monitor the at least one database cluster for a change in at least one of the health status information and a topology of the at least one database cluster; and
- the processing unit [302] is further configured to modify the mapping based on the monitored change in at least one of the health status information and the topology of the at least one database cluster.

7. The system [300] as claimed in claim 6, wherein the system further comprising a notification unit [310] configured to notify a user in case of the change in at least one of the health status information and the topology of the at least one database cluster.
8. The system [300] as claimed in claim 6, wherein the change in the topology of the at least one database cluster comprises at least one of an addition, an updation and a removal in one or more databases associated with the database cluster.
9. The system [300] as claimed in claim 6, wherein the health status information of database cluster includes performance metrics, node availability, and replication status.
10. The system [300] as claimed in claim 6, wherein the system further comprises a selection unit, the selection unit configured to: select one service from the set of services if two or more services of the set of services are selected for a single database of the at least one database cluster.