Search Results for "iis logs into sql"
Sort By:
Showing 127 open source projects for "iis logs into sql"
View related business solutions-
AI-powered service management for IT and enterprise teamsGive your IT, operations, and business teams the ability to deliver exceptional services—without the complexity. Maximize operational efficiency with refreshingly simple, AI-powered Freshservice.
-
$300 in Free Credit Towards Top Cloud ServicesStart your project in minutes. After credits run out, 20+ products include free monthly usage. Only pay when you're ready to scale.
-
1
Better Stack JavaScript client
Better Stack JavaScript client
...Customize retention per source to retain and query everything you want. No need to archive your logs to S3 anymore. Search all your logs anytime. See what metrics your teammates are looking at, comment on note-worthy data spikes and share log fragments with one click. Building a great software is a multiplayer game. Get answers fast with a powerful SQL query builder. No need to learn a new querying language or ask your data analyst. -
2
SQL-first Golang ORM for PostgreSQL
SQL-first Golang ORM
Bun's goal is to help you write SQL, not to hide it behind awkward constructs. Bun uses database/sql and extends it in a compatible and idiomatic way. Out-of-the-box works with PostgreSQL, MySQL 5.7+, MSSQL, and SQLite. Keep your database schema updated with Go and SQL-based migrations. Provide initial data for your application with YAML fixtures. Modern app skeleton puts everything together and helps you get started. -
3
OpenObserve
Elasticsearch/Splunk/Datadog alternative for (logs, metrics, traces)
OpenObserve is a cloud-native observability platform built specifically for logs, metrics, traces, and analytics designed to work at a petabyte scale. It is very simple and easy to operate as opposed to Elasticsearch which requires a couple of dozen knobs to understand and tune which you can get up and running in under 2 minutes. It is a drop-in replacement for Elasticsearch if you are just ingesting data using APIs and searching using Kibana (Kibana is not supported nor required with... -
4
Dozzle
Realtime log viewer for containers. Supports Docker, Swarm and K8s
...It supports more advanced analysis through an in-browser SQL query engine for querying logs, which helps when you need structured filtering without exporting data elsewhere. Dozzle also supports multi-user authentication and can integrate with proxy-forward authorization setups for deployments behind gateways. For larger environments, it can monitor multiple hosts via an agent mode and supports orchestrators like Docker Swarm and Kubernetes. -
Go From AI Idea to AI App FastAccess Gemini 3 and 200+ models. Build chatbots, agents, or custom models with built-in monitoring and scaling.
-
5
ClickVisual
Log analytic and data visualize platform built on clickhouse
ClickVisual is a lightweight browser-based logs analytics and logs search platform for ClickHouse. -
6
apache-logs-to-mysql
Apache Log Parser and Data Normalization Application
Apache Log Parser and Data Normalization Application Python handles File Processing & MySQL handles Data Processing ApacheLogs2MySQL consists of two Python Modules & one MySQL Schema to automate importing Access & Error files and normalizing data into database designed for reports & data analysis. Runs on Windows, Linux and MacOS & tested with MySQL versions 8.0.39, 8.4.3, 9.0.0 & 9.1.0. 4 LogFormats & 2 ErrorLogFormats can be loaded and 5 MySQL Stored Procedures can be processed... -
7
repmgr
A lightweight replication manager for PostgreSQL (Postgres)
repmgr is a management tool for PostgreSQL replication, providing monitoring, failover, and administrative capabilities for streaming replication setups. It simplifies the configuration of primary/standby clusters and automates failover processes for high availability. repmgr is widely used in production environments where database resilience and minimal downtime are critical. -
8
Grafana
Leading open-source visualization and observability platform
...It enables teams to query, visualize, alert on, and explore telemetry data from multiple sources in a single interface. With support for 100+ data source plugins—including Prometheus, Loki, Elasticsearch, InfluxDB, SQL/NoSQL databases, and OpenTelemetry—Grafana helps teams correlate metrics, logs, and traces across applications and infrastructure. Users can build interactive dashboards with rich visualizations, template variables, and reusable panels to monitor systems and troubleshoot issues in real time. Grafana includes capabilities such as ad hoc data exploration, alerting, annotations, and flexible query support. ... -
9
Temporal Tables
Postgresql temporal_tables extension in PL/pgSQL
temporal_tables is a PostgreSQL extension that adds temporal support to tables by automatically tracking row history. It enables versioned records, letting users query data as it existed at any point in time. This is ideal for audit logging, data versioning, and time-travel queries without needing manual triggers or archive tables. -
Fully Managed MySQL, PostgreSQL, and SQL ServerCloud SQL handles your database ops end to end, so you can focus on your app.
-
10
Uptrace
Open source APM: OpenTelemetry traces, metrics, and logs
Uptrace is an open-source APM tool that supports distributed tracing, metrics, and logs. You can use it to monitor applications and set up automatic alerts to receive notifications via email, Slack, Telegram, and more. Uptrace is an open-source APM that supports OpenTelemetry tracing, metrics, and logs. You can use it to monitor applications and set up alerts to receive notifications via email, Slack, Telegram, and more. Uptrace collects and analyzes data from a variety of sources, including... -
11
GreptimeDB
An open-source, cloud-native, unified time series database for metrics
GreptimeDB treats all time series as contextual events with timestamps, and thus unifies the processing of metrics, logs, and events. It supports analyzing metrics, logs, and events with SQL, PromQL, and streaming with continuous aggregation. GreptimeDB is a time-series database optimized for storing and querying large amounts of time-series data, commonly used in monitoring and IoT applications. -
12
pg_timetable
pg_timetable: Advanced scheduling for PostgreSQL
pg_timetable is a flexible job scheduler for PostgreSQL that allows scheduling of SQL or shell tasks directly within the database. It supports complex workflows, error handling, and dependency management, making it a powerful alternative to cron or external schedulers for database-related jobs. -
13
Osquery
SQL operating system instrumentation and monitoring framework
Osquery is an operating system instrumentation framework for Windows, OS X (macOS), Linux, and FreeBSD. The tools make low-level operating system analytics and monitoring both performant and intuitive. Osquery exposes an operating system as a high-performance relational database. This allows you to write SQL queries to explore operating system data. With osquery, SQL tables represent abstract concepts such as running processes, loaded kernel modules, open network connections, browser... -
14
Pydantic Logfire
Python observability platform for tracing apps, metrics, and logs
Pydantic Logfire is an observability platform designed to help developers monitor, analyze, and understand the behavior of their applications in real time. It is built by the team behind Pydantic and follows a philosophy of combining powerful capabilities with ease of use, making it accessible to entire engineering teams. Pydantic Logfire provides deep visibility into application performance by capturing traces, metrics, and logs through an OpenTelemetry-based architecture. It is... -
15
Tillywork
Opensource work management solution
Tillywork is a workflow automation and job scheduling system built on top of PostgreSQL. It’s designed for executing complex job chains with dependency management and error handling. Tillywork leverages SQL to define workflows, making it well-suited for data engineers and backend teams who want fine-grained control without adding a new runtime. -
16
CDC Connectors for Apache Flink
CDC Connectors for Apache Flink
...CDC Connectors for Apache Flink® integrates Debezium as the engine to capture data changes. So it can fully leverage the ability of Debezium. Supports reading database snapshot and continues to read transaction logs with exactly-once processing even failures happen. CDC connectors for DataStream API, users can consume changes on multiple databases and tables in a single job without Debezium and Kafka deployed. CDC connectors for Table/SQL API, users can use SQL DDL to create a CDC source to monitor changes on a single table. CDC Connectors for Apache Flink® supports ingesting snapshot data and real time changes from databases to Flink®. -
17
Laravel Request Docs
Effortless API documentation tool for Laravel applications
The Hassle-Free automatic API documentation generation for Laravel. Automatic rules fetching from injected Request and by regexp. Automatic routes fetching from Laravel Routes. Support for Laravel logs. Support for SQL query and query time. Support for HTTP response time and memory consumption. Support for Authorization Headers. Support for File uploads, and support for Eloquents events. Display extra documentation using markdown. Saves the history of previous requests. Added filters to sort, group, and filter routes by methods, controllers, middleware, and routes. ... -
18
immudb
Immutable database based on zero trust, SQL and Key-Value, tamperproof
...It tracks changes in sensitive data and the integrity of the history will be protected by the clients, without the need to trust the database. It can operate both as a key-value store, and/or as a relational database (SQL). Traditional database transactions and logs are mutable, and therefore there is no way to know for sure if your data has been compromised. immudb is immutable. You can add new versions of existing records, but never change or delete records. This lets you store critical data without fear of it being tampered with. Data stored in immudb is cryptographically coherent and verifiable. ... -
19
Localflare
local cloudflare
Localflare is a local development dashboard for Cloudflare Workers that lets you visualize and interact with your Worker resources while you build. Instead of juggling multiple CLIs and scattered logs, it gives you a unified UI for common Cloudflare primitives like D1 databases, KV namespaces, R2 buckets, Durable Objects, and Queues. The D1 experience is more than a viewer: it includes a SQL editor and a data browser with inline editing, filtering, sorting, bulk operations, and even dummy data generation so you can iterate quickly. ... -
20
dqlite
Embeddable, replicated and fault tolerant SQL engine
Dqlite is a fast, embedded, persistent SQL database with Raft consensus that is perfect for fault-tolerant IoT and Edge devices. Dqlite (distributed SQLite) extends SQLite across a cluster of machines, with automatic failover and high-availability to keep your application running. It uses C-Raft, an optimised Raft implementation in C, to gain high-performance transactional consensus and fault tolerance while preserving SQlite’s outstanding efficiency and tiny footprint. Stable Golang client... -
21
DataProfiler
Extract schema, statistics and entities from datasets
DataProfiler is an AI-powered tool for automatic data analysis and profiling, designed to detect patterns, anomalies, and schema inconsistencies in structured and unstructured datasets. The DataProfiler is a Python library designed to make data analysis, monitoring, and sensitive data detection easy. Loading Data with a single command, the library automatically formats & loads files into a DataFrame. Profiling the Data, the library identifies the schema, statistics, entities (PII / NPI), and... -
22
Apache Seata
High-performance, open source distributed transaction solution
...Its architecture separates responsibilities into a global coordinator and per-service participants, so business services remain decoupled while transactions are orchestrated centrally. Multiple modes are supported—AT (automatic, SQL-based with undo logs), TCC (try-confirm-cancel), Saga (long-running compensation), and XA—letting architects choose between simplicity, control, and interoperability. The AT mode is notable for minimizing code changes: Seata captures before/after images of SQL updates and can roll back on failure to maintain atomicity across services. ... -
23
Apache Drill
Apache Drill is a distributed MPP query layer for self describing data
...For example, you can join a user profile collection in MongoDB with a directory of event logs in Hadoop. -
24
Stoolap
A Modern Embedded SQL Database written in Rust
Stoolap is a lightweight, self-hosted analysis and visualization tool designed to help developers and operations teams explore log data, metrics, and debugging information from distributed systems or local applications. Instead of relying on heavy commercial observability platforms, stoolap provides a fast, focused interface where users can filter, query, and visualize time-series data, logs, traces, and error metrics in a cohesive environment. Its intuitive query builder lets users craft... -
25
AutomatedLab
Framework that lets you deploy complex labs on HyperV and Azure
...Requires Intel VT-x or AMD/V capable CPU, a decent amount of RAM, and low-latency high-throughput storage (No spinning disks please, as there are issues related to them). This solution supports setting up virtual machines with Windows 7, 2008 R2, 8 / 8.1 and 2012 / 2012 R2, 10 / 2016, 2019, and SQL Server 2008, 2008R2, 2012, 2014, 2016, 2017, 2019.
