We get a lot of questions.
Here are the good ones.
Everything you need to know about working with LogFlow, from technical scope to pricing contracts. No fluff, just the answers.
How we collaborate with your team
We operate on three main models: the Rapid Audit (1-day deep dive), the Advisory Retainer (ongoing guidance), and the Implementation Sprint (hands-on building with your team). We recommend starting with a discovery call to determine which fits your current needs.
100% remote. We are a fully distributed consultancy with engineers across multiple time zones. We are very experienced with async communication and remote pair programming tools like VS Code Live Share or standard screen-sharing sessions.
Onboarding starts immediately after contract signing. We send a "tech intake" questionnaire to gather access details and context. Our first meeting is usually a 30-minute alignment call to set goals, followed by a deep-dive audit or sprint kickoff.
Yes. We tailor our availability to your schedule. If you operate on US East Coast hours, we ensure our calls fall within that window. We generally avoid scheduling work during public holidays or weekends to respect your team's downtime.
It varies by project. An audit might involve one senior engineer. A full implementation sprint usually pairs one LogFlow engineer with two of your existing engineers. We always ensure there's a dedicated point of contact for clear communication.
Transparent costs, no hidden fees
We prefer fixed-price engagements for projects and audits because it aligns our incentives with your success. For ongoing advisory, we typically use monthly retainers based on a set number of hours. This removes the anxiety of "billable hours" and lets us focus on solving problems.
For fixed-price projects, we usually require a 50% deposit to begin work and the remaining 50% upon successful delivery. Retainers are billed monthly in advance. We work with all major corporate credit cards and standard invoicing methods.
No setup fees. The price you see is the price you pay. We don't charge for "onboarding" or "tooling research." However, if a project requires specialized hardware access or third-party tool subscriptions (e.g., a specific cloud service tier), those costs are billed directly to you.
We love supporting the ecosystem. We offer a 20% discount to open-source maintainers and non-profits who are using our services to improve public infrastructure. Reach out to hello@logflow.io to discuss your specific situation.
Absolutely. We value long-term relationships, but we want you to feel secure. Retainers are month-to-month with a 30-day notice. Fixed-price projects have milestones; if a milestone isn't met, we pause work until resolved, ensuring you get the value you paid for.
What we build and what we don't
We do. While we advocate for using mature platforms (Grafana, Datadog, etc.) to avoid vendor lock-in, we often build custom query panels, alert logic, and alert routing integrations that are specific to your operational needs. We never just "paint" existing dashboards.
We specialize in "shadow logging." We can instrument your legacy apps to output structured logs to stdout or syslog without changing the application code itself. We focus on the ingestion and analysis layer, leaving your existing codebase untouched.
We are not auditors, but we help you meet compliance standards. We ensure your log pipelines are encrypted in transit and at rest, that PII is properly masked or redacted, and that you have retention policies that satisfy GDPR and other regulations. We provide documentation to support your audit.
We design for elasticity. Our pipelines are built to auto-scale based on ingestion rates. If you experience a traffic spike, our architecture should handle it without crashing or incurring massive unexpected costs. We run load testing during implementation to verify this.
We only replace what's broken. If you have a working ELK stack but it's slow, we'll optimize it. If you have 10 different log collectors that are all redundant, we'll consolidate them. We are pragmatic: we don't tear down a working system just to build a "new one" unless it's clearly failing.
Technologies we love
We are tool-agnostic. We recommend based on your specific stack (e.g., Kubernetes + Loki, AWS + CloudWatch, or a custom OpenSearch setup). We have deep expertise with Datadog, Splunk, Grafana, ELK, Honeycomb, and Vector/Fluent Bit. We don't push specific vendors for kickbacks.
Yes. If your company requires data to stay on-premise or in a private cloud (VPC), we can architect solutions using self-hosted tools like Loki, OpenSearch, or commercial tools with on-prem agents. We have experience setting up air-gapped environments.
Integration is a core part of what we do. We help configure GitLab CI, GitHub Actions, and Jenkins to automatically ship structured logs to your observability platform whenever code is deployed. This ensures you can correlate incidents with specific code commits.
Yes. Tracing is essential for modern microservices. We can set up Jaeger, Zipkin, or Honeycomb tracing to visualize request flows across services, identify latency bottlenecks, and debug cascading failures that logs alone often miss.
It's our home turf. We are experts in configuring Helm charts, mutating admission webhooks, and Kube-Prometheus-Stack to ensure your Kubernetes cluster logs are automatically collected and analyzed without manual intervention.
What happens when we leave?
We provide a comprehensive "Operations Handbook" including architecture diagrams, runbooks, query libraries, and a glossary of your specific log formats. We also record a 45-minute walkthrough video for your team.
Yes. For implementation sprints, we include a 90-day "safety net" period where you can book 2 hours of free support per month to ask questions or troubleshoot issues that arise as your team takes the wheel.
Of course. Most of our clients stay with us for years, either for monthly advisory or for "tune-up" sprints when they scale to a new phase. We treat every project as a long-term relationship.
We do. We can schedule a 1-day "LogFlow Bootcamp" for your onboarding engineers where we teach them how to read your specific logs, interpret your dashboards, and handle a basic incident. This is often included in the initial scope or available as an add-on.
We design everything to be portable. We use open standards (like OpenTelemetry) and avoid writing proprietary scripts that only work in one specific tool. If you ever want to switch from Datadog to Splunk, the data format and pipeline structure we built should allow for a relatively painless migration.
Still have questions?
Can't find what you're looking for?
Our team is here to help you untangle your logs. Send us a message or book a call.