Search Results for "work time" - Page 2

The Dataflow Java SDK is the open-source Java library that powers Apache Beam pipelines for Google Cloud Dataflow, a serverless and scalable platform for processing large datasets in both batch and stream modes. This SDK allows developers to write Beam-based pipelines in Java and execute them on Dataflow, taking advantage of features like autoscaling, dynamic work rebalancing, and fault-tolerant distributed processing. While it has been mostly succeeded by the unified Beam SDKs, it remains...

Bias is a cross-platform versatile information management application / Organizer

Flame graphs are a visualization of profiled software, allowing the most frequent code-paths to be identified quickly and accurately. They can be generated using my open source programs, which create interactive SVGs. See the Updates section for other implementations. Recently I've been helping with d3-flame-graph. The x-axis shows the stack profile population, sorted alphabetically (it is not the passage of time), and the y-axis shows stack depth, counting from zero at the bottom. Each...

...It is built using perl, javascript, SVG, HTML. It includes Layer 2 autodiscovery based on LLDP and other discovery protocols (Cisco's CDP, Extreme Networks' EDP, etc.). Other features include: real time SVG graphs on links, web2cli engine (AJAX to Telnet/CLI), editable maps, auto layout (based esentially on GraphViz), VLAN mapping (work in progress) based on SNMP.

...Investigators and red-teamers use it to demonstrate the risk of deploying .git/ or .svn/ alongside web content, recovering not just code but also secrets committed by mistake. Outputs are normalized into usable repos so diffing, blame, and log analysis work as if you had pulled from the canonical remote. While powerful, it’s intended for legitimate testing and incident response, reinforcing best practices like build-time artifact generation and strict web server access rules.

Apache Kafka is a distributed streaming platform built around durable, partitioned logs called topics, enabling high-throughput, fault-tolerant event pipelines. Producers append records to partitions, brokers replicate them for durability, and consumer groups read them at their own pace while balancing work across instances. The commit/offset model and retention policies support patterns from real-time processing to event sourcing and audit trails. Exactly-once processing semantics, idempotent producers, and transactions help prevent duplicates across complex dataflows. Kafka Streams and Kafka Connect extend the core: Streams provides a library for stateful stream processing within applications, while Connect standardizes integration with external systems. ...

...It expands the value of your existing job scheduler - either Grid Engine or TORQUE PBS - through numerous functions that help you organize, submit, monitor, manage and share your informatics work. Data processing pipelines require high-level organization and parallelization of work to optimize resource utilization and decrease the time to results. q (from queue) allows complex job sequences to be efficiently assembled and managed, including dependency tracking, parallelization, and pipeline-level monitoring, error recovery, and data protection. ...

Meter Data Management written in Erlang -- This is an experiment based on use cases that I know well. Erlang should work well for real-time metering.

SciGraphica is a scientific data visualization and analysis application, supplying many of the basic plotting features for 2D and 3D charts. It features opening several worksheets and plots to work with at the same time and PS output.