Altering the way services and apps are deployed
Automated and seamless application management
Impactful container platforms are critical for application and cloud environment efficiency. Container platforms make it possible to manage container applications in an automated and seamless manner.
They make it possible for DevOps teams to move software applications between environments safely. Kubernetes managed services like AWS, EKS, and Google Kubernetes Engine have made it simple for developers to smoothly transition from a laptop to a test environment and from staging to production.
Benefits of Containers
Flexible approach to configuring and deploying applications
Reduced overhead
Containers use fewer system resources than conventional or hardware virtual machine environments.
Higher portability
Applications that are running in containers can be easily deployed to a variety of hardware platforms and operating systems.
Reliable performance
Applications running in containers will function the same wherever they are deployed.
Elevated effectiveness
Scale, patch, or deploy applications more quickly.
Impactful application development
Supports agile and DevOps initiatives to speed up the development, test, and production cycles
Our Container Management Capabilities
Monitoring & Analytics
Application Map
Extract critical metrics such as latency, bandwidth, and request rate across microservices deployment architectures
Analytic Dashboard
An end-to-end latency view of all transactions along with real-time views of crucial metrics like requests, transactions, connection rate, and throughput.
Log File Analytics
Includes analytics by pool member, response time, device type, and also includes errors and delays.
Customer Analytics
Security Analytics
Container Management Challenges
Security
Virtual dependencies like API servers and monitoring software increase a container’s susceptibility to attack.
Integration
To provide the connectivity or API integration required to support a container ecosystem, existing legacy infrastructures must be updated.
Learning Curve
Since containers are a relatively new technology, IT teams must receive comprehensive training in container management.
Storage
The adoption and use of container storage tools are necessary for the preservation of information based on containers.
Troubleshooting
They frequently switch between hosts, which necessitates an extra step in troubleshooting.