cloud-monitoring
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Findings wants your vendors to show their work
Security questionnaires tell you what a supplier says. Findings combines shared assessments, AI assistance and cloud monitoring to help buyers see what the evidence supports.
The Company That Put the Haystack on a Diet
Dash0 built an observability business around a heretical idea: keeping every scrap of machine data can make it harder to see what broke. Now its open-standard platform is stretching from incident response into the AI-written code that creates the next incident.
The observability bill that made less data look like a feature
OpenObserve wants engineers to keep the logs, metrics and traces they need without treating every new byte as a financial emergency. Its wager is a Rust engine, compressed Parquet files and object storage - plus a business built around making that machinery usable.
Dynatrace Built a $2 Billion Answer Machine for When the Cloud Breaks
Most monitoring tools tell engineers that something is wrong. Dynatrace has spent 21 years - and is betting $915 million on Arize - trying to tell them what broke, why it matters, and what to do next.
Splunk Made Machine Data Searchable. Cisco Paid $28 Billion for What Comes Next.
The software started as a Google-like search box for baffling server logs. Two decades, 20,000 customers and one enormous acquisition later, Splunk is trying to make security and operations teams faster without making every byte take the expensive route through its index.
LogicMonitor wants to turn your 1,000 daily alerts into a shorter night shift
The observability company spent 18 years learning how enterprise systems break. Now it is betting that Edwin AI can turn a wall of warnings into an explanation - and, carefully, an action.
When the Cloud Goes Down, Parametrix Cuts the Check in Days
A New York insurtech wrote a policy that pays out automatically when AWS, Azure or Google Cloud stops working. Then, on one July morning, CrowdStrike proved the whole thesis was worth billions.
Cloudwise Wants AI to Take the 3 A.M. Pager
The Singapore-based enterprise software company spent years teaching large organizations to see their tangled IT systems. Its next act is teaching AI agents to diagnose the mess - and, increasingly, help clean it up.
New Relic
New Relic is a San Francisco-based, AI-powered observability platform that gives engineering teams a single place to see everything running in their software - from application code and infrastructure to logs, user experience, and AI models. Founded in 2008 by Lew Cirne, it helped popularize application performance monitoring (APM) and later coined much of the modern 'observability' category. After going public in 2014 and being taken private in a $6.5 billion deal in 2023, New Relic now serves thousands of companies with usage-based, consumption pricing and a strong bet on AI and agentic observability.