Optimize your container resources

Leverage all the benefits of containerized infrastructure with easy migration, granular visibility, and improved performance.

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Increase your efficiency with 24x7 running AI Engine

Organizations opt containers to enhance portability, better resource utilization, distribution and manageability. The shortest path to achieve and retain these benefits in long run, with least dependency is ML/AI.

Learn more about Edison
CONTAINER MIGRATION

Seamless containerization

Migrate easily to containers in three steps, ensure secure implementation and extensive support post migration.

STEP 01

Infrastructure assessment

Architecture analysis
Benchmark establishment
STEP 02

Strategic implementation

Model evaluation (lift & shift/rewrite)
Ensure security & performance
Meet Service Level Agreements (SLA’s)
STEP 03

Commit extended management

Continuous post migration support
Extensive documentation
Regular improvements/updates

"Many of our applications’ performance enhanced once we moved to containers; OpsLyft’s team went beyond their promises and helps us to migrate securely.”

Tech Lead
CONTAINER VISIBILITY

Granular infrastructural visibility

Obtain visibility of container optimized infrastructure, find out the patterns and cut down the recurring cost.

Analyze activity patterns of pods/containers.
Identify resource utilization gaps.
Publish utilization reports, optimization recommendations, and current & projected costs.
CUSTOMER CASE STUDY

Why an AI platform with 1M daily active users called for container Optimization

"Many of our applications’ performance enhanced once we moved to containers; OpsLyft’s team went beyond their promises and helps us to migrate securely.”

Tech Lead
Innovaccer
READ THE CASE STUDY
CONTAINER PERFORMANCE

Enhance performance of containerized infrastructure

Perform better with automation, reduce risks, balance workloads and get the optimized results.

Matching workloads to Container/Pod
Our framework constantly monitors containers/pods and informs if it finds any under utilization or over utilization of allocated resources. Auto-scales vertically and reduce requirement of a new machine.
Reduced idle & unused resources
Automatic scheduling
Matching workloads to Node
With continuous node optimization the framework helps in predictive analysis of resource usage. Helps in automatic horizontal scaling to match wokload demands and meet the app requirements.
Easy scaling
Reduced idle/unused resources
Automatic scheduling
Automatic cluster optimization
OpsLyft’s advanced level of cluster optimization and recommendation enables organizations to take advantage of infrastructure as a code. Get your cluster code with our framework, ready for automatic deployement.
Easy cluster deployemet
Reduced man-hours

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