• Type

    B2B

  • Industry

    SaaS

  • Headquarters

    California, US

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How Simpplr uses Olly to turn hours of troubleshooting into minutes

How Simpplr uses Olly to turn hours of troubleshooting into minutes
  • Type

    B2B

  • Industry

    SaaS

  • Headquarters

    California, US

160 active Coralogix users
8.3TB metrics analyzed every day
2.7TB logs analyzed every day
0.5TB traces analyzed every day

About Simpplr

Simpplr is an AI-powered employee experience platform that brings together communications, engagement, and services through a unified digital workplace.

Coralogix: Simpplr’s observability partner

For more than two years, Simpplr’s DevOps teams have relied on Coralogix’s observability platform as their all-in-one solution for logs, metrics, and traces. 

Coralogix is a foundational piece of Simpplr’s monitoring infrastructure, covering telemetry across applications and services, enabling visibility into health, performance, and operational issues.

Discovering Olly: The AI teammate for observability

When Coralogix introduced Olly, Simpplr saw an opportunity to add a new member to their team: an AI-native, always-on expert that already understands their telemetry and can investigate issues the way an engineer would.  

They expected another AI assistant, but quickly realized Olly was something else entirely. As Vijay Sablok, Engineering Manager at Simpplr, put it:

Initially, Olly looked like a typical agent you might query, but after a quick onboarding, it became clear that it’s far more powerful.”

How Olly transformed Simpplr’s workflow

Before Olly, engineers invested the majority of their day manually running routine health checks, scanning error rates, and digging through dashboards to track down failing services. 

More complex issues, like latency spikes, dependent-service failures, or recurring pod restarts, could take hours of manual querying and back-and-forth across logs, metrics, and traces.

Olly collapsed all of that manual work into direct answers. Som Agarwal, Director of DevOps, recounts: 

Where I would normally spend 30 minutes to an hour looking up for daily errors, issues, overall health, uptime, etc. Olly is able to scan my telemetry and give me the exact answer that I need and more in 5 minutes.” 

Som and his engineers are able to simply ask:

  • Which app has the highest alert count? 
  • Show me the top subsystem errors 
  • What’s causing the latency spike? 

Behind the scenes, Olly goes to work pulling the right logs, checking relevant metrics, jumping across traces, and deciding on its own what the next investigative step should be. It correlates all that information, highlights what matters, and walks the team through its reasoning so nothing feels like a black box.

Olly builds the visuals they need, explains the patterns it sees, and gives clear, practical recommendations based on the evidence it uncovered. It’s not just faster troubleshooting; it’s having a partner who already understands their system and thinks through the problem with them.

Real-world wins: What Olly helped Simpplr achieve

The impact showed up almost immediately. Within days of onboarding, Simpplr’s team began using Olly to investigate real production issues and saw firsthand how quickly it could cut through noise. 

Here’s how that played out in real investigations the team ran with Olly:

  • The team saw slow responses in an API but couldn’t pinpoint the cause.
    Olly immediately traced the issue to a downstream dependent service, not the API itself.
  • During deployments, pods were restarting unexpectedly. Olly reviewed the telemetry, identified memory exhaustion as the root cause, and recommended increasing the allocation, which immediately stabilized the service.
  • Simpplr explored building similar capabilities using MCP, but maintaining custom agents is expensive and slow. Olly required no setup, no maintenance, and no prompt engineering. It simply learned its environment and started working. 

Olly bridges the gap between data and decision-making. Instead of spending time navigating dashboards or fine-tuning queries, they now get actionable answers in seconds.

The outcome: Real-time problem solving

With Coralogix as their observability backbone and Olly as their autonomous observability agent, Simpplr: 

  • Reduced MTTR significantly
  • Identifies root causes with confidence
  • Spots failure rates and latency issues before they escalate
  • Gets clear, actionable recommendations instead of raw data
  • Frees engineers from manual scanning and query-building

In the words of the Simpplr team:

We would encourage other teams to adopt Olly to boost efficiency and productivity”. Click here to sign up and explore Olly.