Operations | Monitoring | ITSM | DevOps | Cloud

Operators take a real-world operations team’s knowledge, wisdom, and expertise, and codify it into a computer program that helps operating complex server applications like databases, messaging systems, or web applications. Operators provide implementations for operating applications that are testable and thus more reliable at runtime.

In a dynamic business landscape, organizations specifically Managed Service Providers (MSPs) often find themselves juggling the needs of multiple customers. It's crucial for them to maintain strict data segregation to prevent the mixing of customer information. Likewise, large organizations with distinct departments like the customer service or the technical department face similar challenges.

Birdie wanted to uplevel observability to a platform that would provide meaningful insights for application performance and debugging. Ensuring customers can provide seamless and timely care to in-home patients stands as a top priority for Birdie, and the development team takes pride in building and maintaining a high-quality platform distinguished by its reliability and responsiveness.

In the early 2010s, Apache Hadoop captured the imagination of the tech community.

We’re thrilled to announce that Mattermost has earned the 12th annual DEVIES Award for Best Innovation in ITOps! The award — given to a platform “responsible for acquiring, designing, deploying, configuring, and maintaining the physical and virtual components that comprise IT infrastructure” — was presented on Feb. 21 during DeveloperWeek 2024 to our very own Director of Product Marketing Amanda Cheong and Developer Advocate Andrew Zigler at the Oakland Marriott City Center.

Cloud computing has made provisioning new servers easy, fast, and relatively cheap. Almost anyone can log into a cloud console, spin up a new server, and deploy an application. And if they need greater uptime, major cloud providers include all kinds of settings, services, and configurations to add fault tolerance and failover. So why is it that many services fail when a single server instance fails?