1

Application monitoring 2 companies

An app sends three kinds of data into one platform: numbers such as response times (metrics), the messages it writes (logs), and the path of each request through its parts (traces). The platform searches them, draws graphs and raises alerts.

Sumo Logic logoSumo LogicSumo Logic, with engineers in Delhi NCR and Bengaluru, began as cloud search for logs, and grew into a full monitoring platform.Delhi NCR · BengaluruHiring now
New Relic logoNew RelicNew Relic is one of the older names in application monitoring. An app sends its metrics, logs and traces into its single platform.Hyderabad · BengaluruHired recently
The tech, explainedObservability platform
2

Infrastructure and network monitoring 6 companies

Other tools watch the servers, storage and network underneath the app, and some follow a business journey, such as a payment, across many systems.

SolarWinds logoSolarWindsSolarWinds, with engineers in Bengaluru, makes network and server monitoring for IT departments, and has added a platform that brings all this data together.BengaluruHiring now
LogicMonitor logoLogicMonitorLogicMonitor, with engineers in Pune and Bengaluru, monitors companies that run a mix of their own servers and cloud accounts.Bengaluru · PuneHiring now
ScienceLogic logoScienceLogicScienceLogic, with an office in Hyderabad, monitors very large IT setups that mix many kinds of equipment, and sells to companies that monitor such setups for others.HyderabadHired recently
Virtana Corp. logoVirtana Corp.Virtana, with teams in Pune and Chennai, watches a company's storage, and how fast its servers and storage respond.Pune
VuNet Systems logoVuNet SystemsVuNet Systems, in Bengaluru, follows a business journey, such as a payment across a bank's systems, to show where transactions are failing.BengaluruHired recently
Selector logoSelectorSelector uses machine learning to group related network alarms together and point at the likely cause.
3

AI that investigates alerts 4 companies

Instead of waking an engineer to read every log, an AI model reads the alerts, logs and recent changes first, and points at the likely cause.

HEAL Software logoHEAL SoftwareHEAL Software, with engineers in Bengaluru, spots the early warning signs of a failure, to predict it before it happens.
DrDroid logoDrDroidDrDroid is a Bengaluru start-up that sells an AI agent which investigates an alert across a company's monitoring tools.
Ciroos logoCiroosCiroos, a California start-up with engineers in Bengaluru and Delhi NCR, builds an AI engineer that investigates failures like a person on call would.
Giggso logoGiggsoGiggso, a small Chennai company, describes its work as AI strategy, security and data engineering, rather than a monitoring product of its own.
The tech, explainedAI SRE
4

Monitoring factory machines 1 company

The same idea applies to machines: software watches a stream of readings, such as a turbine's temperature every second, and flags unusual changes.

Falkonry logoFalkonryFalkonry, with engineers in Mumbai, spots unusual changes in streams of readings from industrial machines.See alsoPredictive maintenance and industrial IoT platforms
How it all worksObservability and monitoringSlow at 3 a.m.: the code, servers or network?
See how it works →

What's changing

AI now takes the first look at an alert.

When something breaks at night, an AI model can now read the alerts, logs and recent changes before the engineer wakes up, and hand over a likely cause and a suggested fix. The engineer checks and decides.

Read moreAI SRE

Companies: ingrid's company map. Hiring signals: postings feed of 5 Nov 2026.