NeuBird
NeuBird’s flagship product, Hawkeye (Agentic AI SRE), is an AI-powered Site Reliability Engineering platform that transforms IT operations by continuously monitoring telemetry from across your observability stack, logs, metrics, traces, alerts, and incident tickets, to detect issues, analyze root causes, and propose or automate practical remediation in real time without requiring manual investigation. Built for enterprise-grade environments, Hawkeye integrates securely with existing monitoring and incident management tools (such as DataDog, Splunk, PagerDuty, Prometheus, ServiceNow, AWS CloudWatch, Azure Monitor, and more), correlates signals across disparate sources, and reasons contextually like a human engineer to surface actionable insights and reduce mean time to resolution (MTTR) by up to ~90%. It is always-on and can be deployed as SaaS or in a customer’s VPC with enterprise security controls, providing autonomous incident response, pattern recognition, etc.
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Prometheus
Power your metrics and alerting with a leading open-source monitoring solution. Prometheus fundamentally stores all data as time series: streams of timestamped values belonging to the same metric and the same set of labeled dimensions. Besides stored time series, Prometheus may generate temporary derived time series as the result of queries. Prometheus provides a functional query language called PromQL (Prometheus Query Language) that lets the user select and aggregate time series data in real time. The result of an expression can either be shown as a graph, viewed as tabular data in Prometheus's expression browser, or consumed by external systems via the HTTP API.
Prometheus is configured via command-line flags and a configuration file. While the command-line flags configure immutable system parameters (such as storage locations, amount of data to keep on disk and in memory, etc.).
Download: https://sourceforge.net/projects/prometheus.mirror/
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Cody
Cody, Sourcegraph’s AI code assistant goes beyond individual dev productivity, helping enterprises achieve consistency and quality at scale with AI.
Unlike traditional coding assistants, Cody understands the entire codebase, enabling deeper contextual awareness for smarter autocompletions, refactoring, and AI-driven code suggestions. It integrates with IDEs like VS Code, Visual Studio, Eclipse, and JetBrains, providing inline editing and chat without disrupting workflows. Cody also connects with tools like Notion, Linear, and Prometheus to enhance development context. Powered by advanced LLMs like Claude Sonnet 4 and GPT-4o, it optimizes speed and performance based on enterprise needs, and is always adding the latest AI models. Developers report significant efficiency gains, with some saving up to six hours per week and doubling their coding speed.
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Redis
Redis Labs: home of Redis.
Redis Enterprise is the best version of Redis. Go beyond cache; try Redis Enterprise free in the cloud using NoSQL & data caching with the world’s fastest in-memory database.
Run Redis at scale, enterprise grade resiliency, massive scalability, ease of management, and operational simplicity. DevOps love Redis in the Cloud. Developers can access enhanced data structures, a variety of modules, and rapid innovation with faster time to market.
CIOs love the confidence of working with 99.999% uptime best in class security and expert support from the creators of Redis.
Implement relational databases, active-active, geo-distribution, built in conflict distribution for simple and complex data types, & reads/writes in multiple geo regions to the same data set.
Redis Enterprise offers flexible deployment options, cloud on-prem, & hybrid. Redis Labs: home of Redis. Redis JSON, Redis Java, Python Redis, Redis on Kubernetes & Redis gui best practices.
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