What the service does
BigMike.help helps bring infrastructure, CI/CD, monitoring, backups, containers, and operational workflows under control when they are slowing the team down.
// Stable infrastructure instead of firefighting
BigMike.help is a DevOps and Python automation service for production systems. I help startups, product teams, and small businesses stabilize infrastructure, improve CI/CD, monitoring, backups, and remove brittle manual operations.
I remove outages and manual routine from infrastructure so you stop losing money on incidents, can grow the product calmly, and do not depend on manual actions or human error.
You stop thinking about infrastructure because it starts working stably, without constant supervision and stress
Based on work across dozens of production projects: I measure outcomes by three metrics — incident frequency, mean time to recovery, and share of manual operations. I usually handle 2-3 projects at a time. More about BigMike.help →
// About and trust
BigMike.help is a DevOps and Python automation service for production systems. DevOps stabilization refers here to lowering incident frequency, shortening recovery time, standardizing releases, and moving manual operations into predictable processes.
BigMike.help helps bring infrastructure, CI/CD, monitoring, backups, containers, and operational workflows under control when they are slowing the team down.
Results are defined by operating metrics rather than vague promises: incident frequency, mean time to recovery, monitoring visibility, and the share of manual operations after the change.
I use DORA, Google SRE, CNCF, NIST SSDF, and OWASP ASVS as practical reference points. They provide shared language for reliability, security, container practice, and maintainable delivery processes.
Google SRE captures the mindset well:
“Hope is not a strategy.”
// Why clients work with me
// When clients come to me
// What this turns into
If nothing changes, these problems almost always lead to the same consequences
// Industry data
Annual research confirms the gap between teams with solid DevOps practices and those relying on manual processes is measured in orders of magnitude.
182×
higher deployment frequency for elite performers versus low performers
DORA State of DevOps Report2,000×
faster time to restore service for high-performing DevOps teams after incidents
DORA State of DevOps Report96%
of organizations surveyed by CNCF use containers in some environment
CNCF Annual Survey// What changes
Fewer failures, fewer incidents, and fewer manual interventions.
Updates become predictable and stop being a constant source of stress.
You know exactly what is happening in the system and where the weak points are.
Routine operations move into scripts, pipelines, and services.
// Case studies
Short and concrete: problem, solution, and end state.
Case
❌ Problem
releases were manual, stressful, and risky for production uptime
✅ Solution
built a stable CI/CD flow with GitHub Actions, Docker, GHCR, and health checks
📈 Result
deployments became predictable and stable, without manual actions or late-night releases, and the team stopped fearing releases
Case
❌ Problem
backups depended on manual actions and created real data-loss risk
✅ Solution
set up scheduled backups, cloud upload, and Telegram notifications
📈 Result
the risk of data loss caused by human error was removed, and recovery no longer depends on manual discipline
Case
❌ Problem
video infrastructure had to fit production without breaking ports, SSL, or adjacent services
✅ Solution
split Nginx and Docker responsibilities and configured proxy, WebSocket, and UDP paths
📈 Result
the service was integrated into the current infrastructure without conflicts, manual workarounds, or constant on-the-fly fixes
// Reviews
Clients come in with outages, manual routine, and no visibility. They leave with infrastructure that behaves predictably.
★ 5/5
«I needed to get n8n, Redis, and the database working. I had hired another contractor before and everything kept breaking. I hired Mikhail, and the next day everything was working quickly, like clockwork!»
★ 5/5
«Thanks to Mikhail for his responsiveness. We spoke by phone; he explained how I could do it myself. This is my second time reaching out — everything’s great and prompt.»
★ 5/5
«The project was large and complex. Everything was done exactly as I had imagined, down to the smallest details. Mikhail paid close attention to all requirements and functionality. The project is well structured and, …»
// How the work goes
You describe the task and the current problems.
I review the infrastructure and find the weak points.
I give you a concrete work plan with priorities.
I implement the fixes and carry the system through to a stable state.
// Where to start
01
To find bottlenecks and see where stability is being lost.
02
To quickly understand what to do next and what should not be touched.
03
To get a clear implementation sequence without chaos.
// Not a fit
// What you get
// CTA
Send me the task in Telegram or through the form. I will quickly review the project, show the weak points, and tell you what needs to be fixed first to stabilize the system, stop losing money, and remove constant incidents.
I usually handle 2-3 projects at a time. I take new ones as capacity opens up