ConvOps's answer:

PagerDuty, OpsGenie and all other tools, tell you something broke. ConvOps tells you why and what to do about it. For small AWS teams (2–20 engineers), the economics are completely different: $49/month flat vs. $400–800/month for a comparable PagerDuty plan. Engineers get alerts on WhatsApp — the app already on their phone — instead of a separate on-call app. ConvOps also catches anomalies that never triggered a CloudWatch alarm through continuous baseline monitoring with z-score detection, so you find problems before customers do.

ConvOps's answer:

• Kolsetu GmbH - German AI bootstrapped company, that got a huge in their own niche in very less time.

ConvOps's answer:

ConvOps is the only AWS incident tool that lets you respond to alerts directly from WhatsApp — acknowledge, resolve, silence, or investigate without opening a dashboard. Before any alert reaches you, it runs 9 automated verification checks (recovery, AWS Health, recent deploys, quota limits, security events, flap detection) to eliminate noise. It reads CloudWatch metrics, CloudTrail events, and resource state in parallel to deliver a plain-English root cause with numbered fix options — usually within 60 seconds of an alarm firing. No agents to install, no code changes required, flat $49/month pricing with no per-seat or per-alert fees.

ConvOps's answer:

Engineering teams (2–50 developers) running production workloads on AWS who don't have a dedicated SRE or DevOps engineer. Typically: early-stage startups, bootstrapped SaaS companies, and a product teams inside larger organisations. These are teams that are paying for PagerDuty and finding it overkill, or teams that rely only on CloudWatch emails and miss incidents because nobody sees them when required the most.

ConvOps's answer:

ConvOps was built by Nitesh Bhavsar after watching small engineering teams repeatedly get woken up by CloudWatch alerts with no context - just an alarm name and a metric value. The standard response was 20–40 minutes of manual log-digging before anyone understood what was wrong. The insight was that every piece of information needed to diagnose an AWS incident already exists in CloudWatch, CloudTrail, and the resource state - it just needed to be pulled together automatically and delivered somewhere engineers actually look. WhatsApp and Slack was the obvious delivery channel for small teams, where PagerDuty's mobile app adoption is low.

ConvOps's answer:

• AWS Lambda (Python) — all backend processing, serverless
• Amazon DynamoDB — incident state, workspace config, anomaly summaries
• Amazon CloudWatch — metrics source and alarm ingestion
• Amazon EventBridge — scheduling and pipeline orchestration
• Amazon SNS / SQS — alert routing and queuing
• Meta WhatsApp Business API — alert delivery and two-way conversation
• Claude (Anthropic) — AI root cause analysis and summarisation
• Next.js (TypeScript) — frontend, statically exported to S3 + CloudFront