Medstreaming was looking for ways to save on infrastructure cost and improve the returns of their cloud spend. They also needed to ship updates faster while improving the overall reliability of their systems. MedStreaming chose
Medstreaming is a leading provider of Healthcare IT (“HCIT”) solutions. MedStreaming is focused on enabling proactive patient care and improving the quality of healthcare by providing innovative medical IT solutions to individual practitioners and large institutions alike.
Medstreaming manages a
MedStreaming needed a smarter way to manage their applications and services, and get detailed insights into the utilization of their infrastructure resources. In its search for a solution,
In Seeking tools to optimize and automate operations, MedStreaming looked at
Once MedStreaming decided Magalix was the right partner and solution, implementation started immediately.
Before Magalix, MedStreaming didn't have the tools that allow them to move fast in their containerization and Kubernetes Journey.
The team would have spent long months investigating and figuring out tools to containerize and build the right fabric to manage their systems. Now Medstreaming can containerize and move tens of containers per week. Every time they push a new group of customers the infrastructure adjusts automatically in capacity and self-adjust with almost no intervention.
Magalix also helped MedStreaming to diagnose issues quickly through 24/7 support to overcome any issues with existing or new workloads.
Magalix optimization engine along with the Autopilot enables Medstreaming to continuously analyze and configure Kubernetes resources to keep applications up to their performance goals with minimal infrastructure and resources. This saved up to 40% in their EC2 cost due to the smart nodes sizing and adaptive scheduling of containers.
Prior to Magalix, MedStreaming team had to review the cost and possible optimizations on a monthly bases when they get the AWS bill. It was a manual process that took long hours and days to figure out best optimizations and execute them. With Magalix's AI-driven recommendation engine, MedStreaming is now utilizing the Autopilot to proactively optimize resources usage. They don't have to manage low-level optimizations or autoscaling rules anymore. The team provides business goals and maintenance window to the optimization engine.
Although Medstreaming initial focus was on cost-saving and efficiency, after using Magalix, MedStreaming saw a great value in the near real-time metrics and alerts whenever a container or an application is in trouble. The integration with alerting tools such as Slack and PagerDuty helped the team stay on top of any changes in containers or infrastructures state. Magalix detailed dashboard made it easier for the team to identify the sequence of events and the right details to identify the root cause of any issues.