
Tenda
Tenda automates contract generation and eliminates 90% of the manual process

Operations, evolution and optimization of AWS workloads with proactive monitoring, intelligent automation and operational intelligence powered by AI and Machine Learning.
Madeinweb helps companies design, build, operate and evolve critical environments on AWS with a next-generation managed services model.
We combine SRE, DevOps, observability, automation, FinOps and AI-assisted operations to increase availability, reduce operational risk and turn operational data into smarter decisions.
Design, review, and modernization of AWS workloads with focus on scalability, resilience, and Well-Architected Framework adherence.
24x7 operation of mission-critical environments with defined SLAs, incident management, and continuous improvement.
Complete metrics, logs, traces, and dashboards stack integrated with CloudWatch, X-Ray, and market tools for end-to-end visibility.
Site Reliability Engineering practices with SLI/SLO, structured postmortems, and low-risk change governance.
Automated build, test, and deploy pipelines with traceability, routine automation, and reduced manual effort.
Versioned and auditable provisioning with Terraform, CloudFormation, and CDK for reproducible and secure environments.
AI and Machine Learning applied to metrics, logs, and events to detect anomalies, correlate symptoms, and trigger automated runbooks.
Implementation of guardrails, IAM, access controls, workload hardening, and compliance with AWS security frameworks.
Backup strategies, cross-region replication, and DR plans with RTO and RPO aligned to business criticality.
Spend visibility, resource rightsizing, reservations, and Savings Plans to reduce costs without compromising performance.
Secure migration to AWS and continuous evolution toward modern, serverless, and cloud-native architectures.
Specialized support for databases, data lakes, critical applications, and integrations that sustain business operations.
Continuous operation of mission-critical environments with high availability, performance, and end-to-end governance.
Sustainment of data lakes, analytical pipelines, and Big Data workloads with S3, Glue, Redshift, and EMR.
Operation of serverless architectures, containers (ECS/EKS), and microservices with full observability and automation.
Support for assisted migration journeys and continuous architectural evolution of legacy workloads to AWS.
Financial governance and continuous spend optimization in multi-account environments with hundreds of resources.
Implementation and operation of disaster recovery plans, cross-region backup, and business continuity.
Reading of environment, architecture, risks, bottlenecks, and operational maturity to define operating model, indicators, and priorities.
Implementation of monitoring, alerts, dashboards, processes, change governance, and access management for a data-driven operation.
Intelligence over metrics, logs, and events to identify anomalies before they turn into unavailability or user-perceived degradation.
Grouping of related symptoms, noise reduction, and acceleration of probable cause identification in distributed environments.
Operational recommendations connected to runbooks and automated remediation flows, augmenting team capacity with AI.
Generation of inputs for continuous improvement of architecture, performance, security, automation, and cost on AWS.
Reading of environment, architecture, risks, bottlenecks, and operational maturity to define operating model, indicators, and priorities.
Implementation of monitoring, alerts, dashboards, processes, change governance, and access management for a data-driven operation.
Intelligence over metrics, logs, and events to identify anomalies before they turn into unavailability or user-perceived degradation.
Grouping of related symptoms, noise reduction, and acceleration of probable cause identification in distributed environments.
Operational recommendations connected to runbooks and automated remediation flows, augmenting team capacity with AI.
Generation of inputs for continuous improvement of architecture, performance, security, automation, and cost on AWS.
Site Reliability Engineering practices to ensure availability, performance and resilience of digital systems at scale.
Learn howCloud cost management with continuous optimization, reserved instances, rightsizing and executive reporting.
Learn howContinuous monitoring of infrastructure, applications and services with automated alerts and proactive incident response.
Learn howProactive support for critical applications with defined SLAs, continuous monitoring and rapid incident resolution.
Learn howAdministration, optimization, backup and disaster recovery for relational and NoSQL databases at scale.
Learn howDetailed cloud billing analysis with cost allocation by area, anomaly identification and savings recommendations.
Learn howComplete management of on-premises and cloud infrastructure with automation, Infrastructure as Code and continuous governance.
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