Search results for Strflow

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Accelerate your speed of innovation while ensuring data privacy, security and compliance. As easy as an API. Fast to implement, endlessly customizable, and ready to help you solve the biggest data privacy challenges. With the Skyflow PII Vault, you get: -Workflow aware architecture -Polymorphic data encryption -Data governance and access control -Globally distributed data storage -Secure analytics and data sharing -And much more

Ilum is a comprehensive data lakehouse platform designed to streamline the management and monitoring of Apache Spark clusters across cloud, on-premise, and hybrid environments. It integrates seamlessly with tools like Jupyter, Apache Airflow, and MLflow, providing a unified solution for data scientists, cloud engineers, data analysts, IT administrators, and machine learning engineers. Ilum supports open table formats such as Delta Lake, Apache Iceberg, and Apache Hudi, ensuring flexibility and avoiding vendor lock-in. Its Kubernetes-native architecture offers scalability, high availability, and dynamic resource management, making it a modern alternative to traditional data platforms. Key Features and Functionality: - Unified Multi-Cluster Management: Manage multiple Spark clusters across various environments through a single platform. - Interactive Spark Sessions: Engage with Spark jobs via a REST API and user-friendly web interface, eliminating the need for command-line interactions. - Integration with Data Tools: Seamlessly integrates with Jupyter, Apache Airflow, MLflow, and business intelligence tools like Tableau and Power BI. - Support for Open Table Formats: Works with Delta Lake, Apache Iceberg, and Apache Hudi, ensuring ACID compliance and efficient data storage. - Kubernetes and Hadoop Yarn Integration: Facilitates easy deployment and management of Spark jobs on Kubernetes and integrates with Apache Hadoop Yarn. - Scalability and High Availability: Offers horizontal scalability and dynamic resource scaling to handle workloads of any size. - Data Governance and Security: Provides data lineage tracking, role-based access control, and integration with Apache Ranger for enhanced security. Primary Value and Problem Solved: Ilum addresses the challenges of managing and monitoring Apache Spark clusters by providing a unified, scalable, and flexible platform. It simplifies operations across diverse environments, supports open table formats to prevent vendor lock-in, and integrates with a wide range of data tools. By offering interactive sessions, multi-cluster management, and robust data governance, Ilum enhances operational efficiency, accelerates data processing tasks, and empowers organizations to build and deploy data-driven applications with ease.

LoadCairn is a set of free online planning and sizing calculators for data centers and critical facilities. Tools include UPS runtime, cooling load, airflow (CFM), rack power, generator sizing, PUE and dew point/humidity calculators. Each calculator shows its formula and assumptions so engineers can check the math. LoadCairn is a planning tool that complements SCADA, EPMS and BMS systems; it is not a monitoring system. It is built for critical facility engineers, facility managers, MEP consultants and data center project teams.

Gambit Communications is a provider of network and IoT simulation tools designed to enhance the productivity of enterprises, device vendors, management software developers, and service providers while reducing costs. Their flagship product, MIMIC® Simulator Suite, offers a comprehensive, scalable, and customizable virtual lab environment capable of simulating up to 100,000 devices on a single workstation. This suite supports a wide range of protocols, including SNMP , NetFlow, sFlow, IPFIX, Telnet/SSH, Web , IPMI/Redfish, MQTT/IoT, and more, making it an invaluable tool for development, testing, training, and demonstration purposes. Key Features and Functionality: - Extensive Device Simulation: MIMIC® Simulator Suite can create a virtual network environment with up to 100,000 simulated devices, including routers, switches, servers, IoT sensors, and more. - Protocol Support: The suite supports a broad spectrum of protocols such as SNMP , NetFlow, sFlow, IPFIX, Telnet/SSH, Web , IPMI/Redfish, MQTT/IoT, and others, ensuring compatibility with various network management applications. - Scalability and Customization: Users can scale simulations from a few devices to tens of thousands, with the ability to customize device configurations, network topologies, and traffic patterns to meet specific testing and development needs. - User-Friendly Wizards: MIMIC® includes intuitive wizards for importing new MIBs, recording large networks, creating device simulations, and configuring network topologies, simplifying the setup and management of complex simulations. - Real-Time Customization: The simulator allows for real-time changes to device configurations and network conditions, enabling dynamic testing scenarios and rapid prototyping. Primary Value and Problem Solved: MIMIC® Simulator Suite addresses the challenges associated with developing, testing, and deploying network and IoT applications by providing a cost-effective, scalable, and flexible simulation environment. It eliminates the need for extensive physical hardware labs, reducing capital and operational expenses. By enabling realistic and repeatable testing scenarios, MIMIC® ensures that applications perform reliably under various conditions, thereby accelerating development cycles, enhancing product quality, and facilitating comprehensive training and demonstration environments.

An all-encompassing production and warehouse management system designed to navigate the complexities of manufacturing. Revolutionise how work instructions are created, viewed, and interacted with through interactive stepflow guides, ensuring consistent and efficient production. Enhance operational visibility with a bespoke warehouse management system featuring barcode tracking, warehouse viewer, and robust inventory control. Empower your management team with advanced scheduling, issue resolution, and detailed production history. Manage sales orders end-to-end and ensure your team's cohesion through custom roles & permissions. Choose from versatile pricing strategies to match your organizational needs and stride into a future where every detail of your manufacturing process is but a click away.

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Embrasure is a data observability platform that automates data quality management and incident response. It monitors production tables, traces failures through column-level lineage, identifies root causes, maps downstream impacts, and prepares evidence-backed remediation plans. The platform integrates with data warehouses like Snowflake, BigQuery, Redshift, Spark, Databricks, PostgreSQL, and Trino, as well as orchestration systems like Airflow and Kafka, and BI tools like Looker for comprehensive lineage mapping. Embrasure validates code changes by analyzing lineage, testing with production-shaped data, and flagging breaking changes on pull requests to prevent downstream issues. For incidents, it diagnoses stale tables, failed pipelines, and anomalies, routing issues to owners with decision-ready briefs. By consolidating metadata, configurations, logs, and dependencies, it provides unified context for investigating data lineage and resolving issues.

HyperQuote is AI takeoff software built for commercial HVAC/R and plumbing equipment distributors, manufacturers' reps, and estimators. Quoting equipment from a drawing set means reading the mechanical schedules, then finding every tagged instance across the plans, then reconciling the two — a process that takes hours and where a single missed count costs margin. HyperQuote does it in minutes. Upload a drawing set and specifications. HyperQuote extracts the equipment schedules with the full performance envelope per tag — capacity, airflow, electrical, physical data, and remarks — locates the tagged instances on the floor plans, deduplicates units appearing across multiple sheets, and produces a quote-ready bill of materials for review. Built specifically for HVAC/R and plumbing rather than general construction estimating, so it understands equipment schedules, tag conventions, and the difference between a schedule row and a unit count. Review the output. Skip the transcription.

DataOps Process Observability is open-source observability for data pipelines. Instead of watching one table at a time, it monitors the whole data journey: the chain of pipelines, datasets, and tools behind a specific report or dashboard. Pre-built agents for Airflow, Databricks, dbt, Azure Data Factory, Power BI, Fivetran, and 10+ other tools, plus a REST API and Python SDK, send run status, test results, and timing into one event stream. A Gantt-style timeline shows the sequence and duration of every step, so you can spot late arrivals and bottlenecks. Rules in a trigger-condition-action format alert email, Slack, Microsoft Teams, or Jira when a run fails, data arrives late, or tests regress. It works with DataOps TestGen for data quality tests. Open source under Apache 2.0 with the web UI, event API, and agents; enterprise adds multi-user access, single sign-on, and support.

Transform your everyday tasks into seamless, location-based experiences with GeoDoc – the ultimate tool for creating, sharing, and managing documents tied to specific geographic locations. Whether you're organizing notes, setting up task lists, capturing audio, building video galleries, or storing images, GeoDoc makes it easy to keep everything connected to the places that matter most to you.

Column-level data lineage and impact analysis across your databases, ETL and BI reports. Tracey shows where every number in your reports comes from and what a change will affect. It reads your databases, ETL processes and BI tools and connects them into one interactive, column-level lineage graph, from the source table to the report field. Use Lineage mode to trace a figure on a report back to the database column it started in, through every transformation on the way. Use Impact mode before you change a column, a job or a measure, to see every downstream table, model and report that depends on it. Tracey supports Oracle, SQL Server, PostgreSQL and Snowflake; Informatica PowerCenter, SAP Data Services, dbt, Apache Airflow and Dagster; and Power BI, SAP BusinessObjects (universes and Web Intelligence), Strategy One (MicroStrategy) and IBM Cognos Analytics. Missing a connector for your system? We build new ones. Run Tracey on-premises or in the cloud. Connect your sources and see lineage the same day; after a small change, a re-scan finishes in seconds.

Hey there, I've dreamed of writing this message for years, and today I am excited to finally introduce Autocoder.cc to you. What is AutoCoder.cc? Autocoder.cc is the first to integrate front-end and back-end generation without needing Supabase! ⭐ Key Features - Front-end, back-end & database generation by simple chat - Query to userflow to ensure clarity. - Edit manually where you'd like to update with efficiency and controllability. - One-click deployment - Diverse models & reasonable pricing Here are some of my favourite cases about Autocoder.cc → - Build an order management system for a coffee shop - Build a website for a venture capital company - Build a personal blog for expertise on product hunt What's the offer? We are giving away one-month BASIC subscription for the lovely community. The FREE subscription shall be used after the registration. Thank you for your support and excited for you all to try it. Your voice matters! Feel free to reach out to us and share your cases, ideas or any bugs at support@autocoder.cc Discord: https://discord.com/invite/dswYXGaWan X: https://x.com/autocoder_dev What cases will you be sharing with Autocoder.cc today?

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247lytics is a data-centric consulting firm specializing in Data Engineering, Analytics, and Data Science. With a focus on small and medium-sized businesses in manufacturing, retail, and technology sectors, 247lytics offers tailored solutions to help organizations harness the power of their data for informed decision-making and strategic growth. Key Features and Functionality: - Data Engineering: Design and implementation of robust data pipelines to ensure efficient data flow and integration across various platforms. - Data Analytics: Utilization of advanced analytical tools and methodologies to extract meaningful insights from complex datasets. - Data Science: Application of machine learning models and statistical techniques to predict trends and inform business strategies. - Cloud Platform Expertise: Proficiency in cloud services such as AWS, GCP, and Azure, enabling scalable and secure data solutions. - Big Data Technologies: Experience with technologies like Apache Airflow, Fivetran, and Databricks for handling large-scale data processing. Primary Value and Solutions Provided: 247lytics empowers businesses to transform raw data into actionable insights, addressing challenges such as inefficient data management, lack of predictive analytics, and the need for scalable data solutions. By leveraging their expertise, clients can enhance operational efficiency, make data-driven decisions, and gain a competitive edge in their respective industries.

Every product requires some kind of cron service - period. And running cron is a pain. You have to setup a separate service to host it. That requires DevOps chops, and pain. It is unpredictable, your cron workflows might take a lot of time. You can't view if your cron ran, or you may have to set up a different service like airflow. And it is expensive. Plus with AI tools like ChatGPT, Claude, now you can code really fast, and convert complex thought into code. So we built Xquantum, out of our need to run crons fast and reliably. Port over your code (custom or AI generated), paste on Xquantum, and deploy on cron. Sit back and enjoy while your code runs and does everything that it is supposed to. Delight clients by automating their workflows real fast. Build faster by building logic to interface directly with your database and do something, and interface with your DB again. If you want to keep your code in your repo, simply ping your API endpoint, and define what you need done on success or failure (like call yourself). All in all, have fun building the next big thing, the world is your oyster!

NetFlow Optimizer (NFO is a software-based processing engine designed to enhance network visibility and security by efficiently managing and enriching network flow data. It supports various flow protocols, including NetFlow, IPFIX, sFlow, and J-Flow, as well as cloud flow logs from platforms like AWS, Azure, Oracle OCI, and Google VPC. By intelligently reducing data volume and enriching flow records with contextual information, NFO provides real-time insights into network performance and security, enabling organizations to optimize operations and proactively address potential threats. Key Features and Functionality: - Data Volume Reduction: NFO employs techniques such as deduplication, aggregation, and flow stitching to minimize the volume of flow data, reducing storage requirements and accelerating analysis without compromising critical insights. - Data Enrichment: It enhances raw flow data by integrating additional context, including user identities, application details, virtual machine names, geolocation information, and threat intelligence feeds, transforming basic flow records into comprehensive, actionable intelligence. - Real-Time Monitoring and Security: NFO provides real-time network monitoring capabilities, enabling advanced operational intelligence and security for both virtual and physical networks. - Flexible Deployment and Integration: Available as Windows or Linux installers, or as a virtual appliance, NFO seamlessly integrates with existing observability platforms and SIEMs, such as Splunk, Sumo Logic, and Azure Sentinel, facilitating enhanced data analysis and threat detection. Primary Value and Problem Solved: NetFlow Optimizer addresses the challenges associated with managing vast amounts of network flow data by reducing data volume and enriching flow records with critical context. This approach enables organizations to gain deeper visibility into network performance, swiftly detect and respond to security threats, and optimize overall network operations. By transforming raw flow data into actionable insights, NFO empowers IT teams to make informed decisions, improve network health, and strengthen security postures.

SlashPeak is a cost tool for teams that run Google BigQuery. It shows where the money goes and how to spend less. Connect a read-only service account. SlashPeak reads job and table metadata only. It never reads your table data. The first scan finishes in about 10 minutes and gives you a ranked list of savings. See every dollar: slice spend by project, team, user, table, query, label and tool. Prices follow the way you are billed: on-demand, Editions capacity, or a mix. Totals are checked against your billing export. Find the waste: 23 documented rules cover queries, storage, schema design and slot capacity. Each finding has a monthly dollar estimate, with the math shown, ranked by impact. Fix it with the AI DBA: Cognis AI DBA turns findings into exact changes and can open GitHub pull requests, including dbt model fixes, for your team to review. Catch spikes early: anomaly detection explains each spike, with email, Slack and webhook alerts and a weekly summary for leaders. Plan and budget: cost centers with monthly budgets, Airflow cost per DAG and task, slot and reservation right-sizing, CSV and Excel exports, and a read-only REST API. Teams usually find 10-20% of their BigQuery spend that they can cut. Free 30-day trial, no credit card.

CloudEQS is a technology firm dedicated to simplifying cloud-native adoption by combining agility, innovation, and tailored business models. They specialize in guiding enterprises through successful cloud and data analytics transformations, providing the necessary education, resources, and support to foster business growth. Key Features and Functionality: - Cloud Analytics: Facilitates the integration, migration, and adoption of cloud analytics, enabling organizations to harness the full potential of their data. - Data Virtualization: Offers solutions that promote secure data democratization, accelerating the time to insights by providing unified data access without physical consolidation. - DataXasaService : Provides comprehensive services from data engineering to data science, enhancing enterprise data strategies and facilitating informed decision-making. - Masterio: A no-code/low-code platform designed to improve customer intelligence by integrating seamlessly with CRM and ERP systems, thereby enhancing customer data quality and supporting sales intelligence. - Data Ingestion Framework: An open-source, Python-based framework that supports schema drift, integrates with GitHub and Airflow, and is compatible with Snowflake as a target, expediting the data lake journey with a low-code/no-code approach. Primary Value and Solutions: CloudEQS addresses the complexities of cloud-native adoption by offering tailored solutions that streamline data integration, enhance analytics capabilities, and improve customer intelligence. Their services enable organizations to make data-driven decisions, optimize operations, and achieve strategic growth. By providing secure data access, accelerating time to insights, and offering scalable platforms, CloudEQS empowers businesses to navigate their digital transformation journeys effectively.

Developed with the motto "Single Platform, Full Control," Gardiyan Network Management System is an end-to-end management platform that simplifies complex network infrastructures. Offered with an On-Premises architecture, Gardiyan is specifically designed for organizations that prioritize data security and privacy, ensuring that data is managed without ever leaving the institution. Thanks to its Vendor-Agnostic structure, you can manage devices from different manufacturers through a single panel and communicate directly with devices via SNMP, SSH, and Telnet protocols. By combining network monitoring, configuration management (NCM), traffic analysis, and vulnerability scanning in a modular structure, Gardiyan provides a 30% time saving in operational processes and a 40% reduction in security risks. The system automatically generates network topologies, backs up configuration changes, shows differences between versions (diff), and proactively detects hardware and software vulnerabilities by working in integration with international CVE databases. Highlight Features Real-Time Monitoring and Visibility: Instantly monitors the health status, CPU, temperature, and accessibility data of all network devices. It visualizes inter-device connections with automatic topology mapping. Vendor-Agnostic Management: Manages hardware from different manufacturers with a standardized experience on a single platform. Advanced Configuration Management: Automatically backs up device configurations, performs running config comparisons between versions, and provides the ability to quickly restore to a previous version in case of faulty changes. Security and Vulnerability Scanning: Performs regular vulnerability scans with integrated Nessus and OpenVAS infrastructure and automatically detects risky devices using current CVE databases. 3D Port Visualization: Presents the status of switch ports (up/down, speed, usage) in a 3D and interactive format over the physical view of the device. Traffic Analysis (Flow Monitoring): Detects bandwidth bottlenecks and abnormal traffic behaviors by analyzing NetFlow, sFlow, and IPFIX data. Ansible Integration: Automates bulk device management, patch updates, and configuration deployment with Ansible playbooks. Log and Event Management: Centrally collects Syslog and SNMP trap messages, generates alarms for critical events, and creates audit trails for compliance with regulations such as ISO 27001, KVKK, and GDPR.