DevOps

The Problem (Pain Level: 8/10) “Why is my AWS bill so high this month?” - A universal pain shared by every developer and startup using AWS. Current pain points: Dashboard fatigue: Constantly switching between AWS Console, CloudWatch, and Cost Explorer Cost black box: Hard to intuitively understand which resources consume how much Scattered health checks: Checking EC2, RDS, Lambda status individually Alert overload: Complex CloudWatch alarm setup with too much noise No CLI option: No quick way to get the full picture from the terminal Target Market Primary Target: AWS developers, DevOps engineers, startup CTOs ...

The Problem Teams using Django + Celery need to monitor Celery tasks, but: Flower: Requires a separate process (port 5555) Extra Infrastructure: Additional container, process management Context Switching: Jumping between Django Admin and Flower “Celery observability inside Django admin (no Flower, no extra process)” — HackerNews Show HN (2026.01.21) Developers want to manage everything within the familiar Django Admin interface. Market Analysis Aspect Details Target Market Django + Celery teams TAM Django ecosystem $500M+ Competition Status BLUE (niche market) Competitive Landscape Solution Pricing Weakness Flower Free Requires separate process django-celery-monitor Free Limited features, unmaintained Prometheus + Grafana Free Complex setup, overkill Differentiation: Native Django Admin integration, zero extra processes ...

Problem Definition Problems DevOps/SRE teams face when building monitoring: Metric Understanding: Finding the right metric among thousands is difficult Scattered Documentation: OpenTelemetry, Prometheus, K8s each have different docs Missing Context: Metric names alone don’t explain their purpose Duplicated Effort: Every team researches the same metrics repeatedly Market Analysis Metric Value Observability Market Size (2026) $34.1B Expected Growth Rate CAGR 19.7% Projected 2035 Size $172.1B Target Customers: DevOps engineers, SRE, platform teams ...

Problem (Pain Score: 7/10) Manually writing changelogs every time you modify an API schema is tedious and error-prone. Real Examples: Added/removed fields but forgot to document in changelog Missed breaking changes causing client apps to break Hard to track version differences, making rollback decisions difficult Wasted time figuring out differences between API versions Frequency: Every API change (1-2x per week) In microservices environments with multiple services, manual changelog management is practically impossible. Changelogs become incomplete, and API consumers must figure out changes themselves. ...

Problem (Pain Score: 6/10) Git hooks (pre-commit, pre-push, etc.) are powerful, but managing them across projects is fragmented and difficult. Real Examples: Setting up hooks from scratch for every new project Inconsistencies from different hook configurations across team members Difficulty reusing useful hooks in other projects Manual updates required across all projects when hooks change Frequency: Every new project + team member onboarding Tools like pre-commit exist, but version-controlling and sharing hooks across multiple projects remains manual work. ...

The Problem (Pain Level: 7/10) Indie developers and small SaaS teams struggle with security vulnerability management: Existing security scanners are too expensive or complex Enterprise tools take hours to days to set up Interpreting results is difficult without security expertise Features are overkill for small projects As a result, many indie SaaS products run with basic security vulnerabilities unaddressed. Target Market Global Indie Developers/Micro-SaaS - Estimated TAM $500M+ Solo developers, small startups Indie Hackers, Reddit r/SideProject community Developers hosting projects on GitHub Full-stack developers who aren’t security specialists What is Micro-SaaS Security Scanner? A simple security tool that lets you complete your first security scan within 10 minutes after connecting your GitHub repo. ...

Problem When issues occur in production, developers must jump between multiple tools to gather context: Where do I check the logs? When was the last deployment? What are the related Jira tickets? What are this service’s dependencies? Who is the owner? The cause of unnecessarily long MTTR is this context-gathering time. Market Item Details Target Market Global (GL) Segment Observability, DevOps, Monitoring Primary Target DevOps teams, SREs, on-call engineers TAM $34B+ (2026 observability market) The observability market is growing at 19.7% CAGR, expected to reach $172B by 2035. ...

The Problem (Pain Level: 7/10) “Building apps with Docker is easy, but deploying and managing them is still complicated.” After Heroku’s free plan disappeared, many developers returned to self-hosting. But Nginx configuration, SSL certificates, and Docker Compose management remain cumbersome. Target Market - TAM $164.3B (PaaS Market by 2026) Developers who prefer self-hosting Cost-conscious indie hackers Small startups Privacy-focused users Platform as a Service (PaaS) Market is expected to reach $164.3B by 2026 at CAGR 19.6%. ...