International Business Machines Corporation

Seep Goel

Mudit Verma

Abhishek Singh

Praveen Jayachandran

Krishnasuri Narayanam

Yedendra Shrinivasan

Vishnu Choudhary

Harshit Kumar

Kavya Govindarajan

Rachit Garg

Kuntal Dey

Seema Nagar

Yu Gu

Roman Vaculin

Balaji Viswanathan

Pooja Aggarwal

Chander Govindarajan

Parameswaran Selvam

Priyanka Prakash Naik

Pooja Aggarwall

Pranjal Gupta

Aishwariya Chakraborty

Metric management techniques in a multi-cluster computing environment are disclosed. For example, a method obtains a set of metrics collected from one or more computing clusters of a distributed computing environment, wherein the set of metrics are associated with one or more processes that are executable on the one or more computing clusters. The method computes one or more metric importance values for the set of metrics based on one or more processing criteria. The method sends the one or more metric importance values to at least one computing cluster of the one or more computing clusters to enable the at least one computing cluster to adapt a collection frequency of at least one metric of the set of metrics. Such adaptation, by way of example, can be based on the metric importance and resource availability.

Metric management in multi-computing cluster environment

A computer-implemented method, according to one approach, includes: receiving one or more streams of system log information from one or more microservices, and comparing the received system log information to compressed templates. One or more blocks of the system log information that correspond to one or more of the compressed templates are identified. All static text is removed from the identified blocks. Moreover, runtime variables from the identified blocks are inserted into respective ones of the compressed templates. The streams of system log information are further updated by replacing the identified blocks with the compressed templates having the runtime variables therein.

Lossless compression of system log information

A computer-implemented method, according to one approach, includes: receiving observability data produced by a first portion of a distributed application. The observability data is evaluated and in response to determining that the observability data indicates the first portion of the distributed application is degraded, the amount of the observability data produced by the first portion of the distributed application is increased. Additionally, the amount of observability data produced by other portions of the distributed application that are correlated with the first portion of the distributed application is also increased.

Dynamically adjusting observability based on real-time performance

An example operation may include one or more of detecting, by a blockchain (BC) node, a contract update on a blockchain, determining, by the BC node, at least one charge affected by the contract update, executing, by the BC node, a smart contract to re-generate an invoice based on the at least one charge, and recording the invoice on a ledger of the blockchain.

Dynamic updates of decentralized invoices

An example operation may include one or more of monitoring, by a blockchain node, a delivery of a service to a first node from a second node based on a service contract and an order retrieved from a blockchain, determining, by the blockchain node, an incremental charge for a partial delivery of the service based on the monitoring, and executing, by the blockchain node, a smart contract to issue the incremental charge for the partial delivery of the service, and responsive to a resolution of a dispute raised for the incremental charge, add the incremental charge to an incremental invoice.

Optimization of trusted invoicing

An example operation may include one or more of identifying a blockchain transaction requiring peer endorsement, transmitting a request for endorsement to one or more peers assigned to a blockchain, receiving endorsement response messages from the one or more peers, wherein the endorsement response messages comprise a plurality of priorities assigned to the blockchain transaction, and forwarding the received plurality of priorities and the blockchain transaction to an ordering node for assignment to the peers.

Prioritization in a permissioned blockchain

A conversation analysis system has a local system configured to capture conversation data associated with a conversation between an individual and a user and a backend system electronically connected to the local system. The backend system has a suggestion system configured to receive the conversation data from the local system and extract, by an analysis unit, information from the conversation data indicative of a mood of the individual. The suggestion system is further configured to classify, by a classifier unit, the individual based on the extracted information, including determining a current classification and determine, by a suggestion unit, one or more rules based at least on the current classification and stored information in a knowledge base. The suggestion system is further configured to provide, by the suggestion unit, at least one of an alert or suggestion to the user based on the one or more rules.

Real-time conversation analysis system

Techniques for non-invasive diagnosis of configuration errors in distributed system are disclosed including obtaining data packets from a network that include inflows and outflows associated with a given component of the network. The number of inflows and the number of outflows for the given component of the network are determined based on the obtained data packets. An intersection point corresponding to a predetermined number of inflows and a predetermined number of outflows is obtained and a score for the given component is determined based on a relationship between the intersection point and the determined number of inflows and outflows for the given component. Whether the score for the given component is greater than a predetermined threshold is determined, and the given component is identified as having a configuration error in response to determining that the score for the given component is greater than a predetermined threshold.

Non-invasive diagnosis of configuration errors in distributed system

One embodiment provides a method, including: utilizing at least one processor to execute computer code that performs the steps of: receiving a system instruction from the at least one processor to perform an operation on a data structure; collecting, using at least one worker thread from a plurality of worker threads, a process request associated with the system instruction, wherein the plurality of worker threads perform operations within a computer system; placing the collected process request at a predetermined position on a state array, wherein the predetermined position is assigned to the at least one worker thread and wherein a helper thread is dedicated to the state array to execute requests placed within the state array; and executing the process request. Other aspects are described and claimed.

Growing community of inventors

New Delhi, India

Seep Goel