Kubernetes
Up to 300,000
containers in the cluster.
5.6 million
developers around the world use Kubernetes to manage infrastructures.
-
Automated deployment
Allows defining when and how containers will be deployed, updated, or removed.
-
Automatic scalability
The number of replicas of an application is adjusted based on the load and available resources.
-
Fault tolerance
The Pods are automatically redeployed on other nodes in case of failure, and they are subject to monitoring and action.
-
Multi-cloud orchestration
Containers can be managed in different environments, allowing great flexibility in terms of infrastructure and resources. -
Resource management
Resources are efficiently allocated in CPU and memory to Pods, ensuring an adequate number of resources to operate.
-
Internal network
Each Pod is accessible from any other Pod, making communication between services easier.
TimActive expertise
Setting up CI/CD pipelines to automate deployment and application updates
Automating resource scaling during peak traffic on the e-commerce site
Orchestrating container services for microservices-based applications
Integrating observability tools like Prometheus or Grafana to monitor cluster health and performance
Optimizing resource utilization through intelligent scheduling
Automating disaster recovery by restarting failed services
Cost reduction by limiting unused resource consumption
Analysis of logs and metrics to identify bottlenecks and optimize workloads
Integration of tools like GitLab for DevOps workflow management
High availability ensured through automatic load balancing