Cross-cutting
Roadmap
MTTL grows step by step. This page says what is in progress, what comes next and what will come later. It promises no date: a piece is published only once it has been checked, following the rules of the manifesto. Each item links to the page that already announces it.
In progress
Section titled “In progress”- LabPublish the LLM labs kit
Run the kit end to end (OpenTelemetry, VictoriaMetrics, Tempo, Grafana, Phoenix, Qdrant, Ollama), then publish it on the forge with the tested versions.
- QualityValidate the configurations in a lab
Run every configuration marked “Lab validation in progress” in a lab, then replace the notice with the tested versions.
- ArticleCost is decided at the Collector
Business dimension. Cutting the bill at the source: cardinality, sampling, routing. Article under review; the simulator is already online.
The steps marked “coming soon” in the learning paths, then the videos.
- ArticleTelemetry pipelines, with a Collector lab
Technical dimension. Designing a Collector: filtering, transformation, sampling, routing.
- ArticleBackends and storage
Technical dimension. Choosing between Prometheus, VictoriaMetrics, Elastic, Loki, Tempo and ClickHouse, with the same criteria for all.
- ArticleUnderstanding pricing models
Business dimension. Comparing billing per host, per volume, per series and per user.
- ArticleSovereignty and architecture choices
Business dimension. Choosing between SaaS, self-managed open source and trusted cloud.
- ArticleDiagnosing under pressure
People dimension. Cognitive biases during incidents and dashboards that limit them.
- ArticleGetting observability adopted
People dimension. Bringing development teams on board and measuring real usage, with the related roles and skills.
- VideoLab demos and explainers
A lab replayed step by step (10 to 20 min) or one concept explained (5 to 10 min), each linked to its article and lab.
- CourseHPC observability foundations
The lessons and labs of the program: Redfish exporter, DCGM and Slurm join, MIG contention, final project in front of a director.
- CourseBeyond the LLM: GPUs and model quality
The two modules in preparation and their labs: GPU infrastructure, then statistical drift detection and retraining.
- LabThe full GenAI method lab
A runnable environment that reproduces each silent failure and shows how to catch it.
- ArticleSLOs as a contract between teams
Organization dimension. Aligning product, development and operations on shared objectives.
- ArticleRunning a platform migration
Organization dimension. Changing tools without losing history or the teams’ trust.
- ArticleMaturity model
Organization dimension. A dedicated chapter to place the organization and prioritize the next steps.
- ArticleBuying without lock-in
Business dimension. Negotiating reversibility, data portability and exit.
- ArticleAlert fatigue
People dimension. Measuring noise and removing non-actionable alerts; the simulator is already online.
- ArticleEdge and IoT
Technical dimension. Observing constrained, intermittent and heterogeneous fleets.
Already available
Section titled “Already available”The four reading dimensions (technical, business, people, organization), the courses and their quizzes, the simulators, the interactive diagrams, the self-assessment, the published labs and the videos.
Suggest a topic
Section titled “Suggest a topic”A topic is missing, or the order looks wrong to you? Write to contact@meantimetolearn.com: the requests received shape the publication order.