Operations | Monitoring | ITSM | DevOps | Cloud

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?

The need for automation is becoming more important day by day. The process of integrating written code with already working code and publishing new code to live environments is a very error-prone process. Performing static analysis, running tests, packaging, and versioning are tasks that require a lot of manual effort. It’s also a complex task to solve the problem of deploying the projects we develop to more than one environment, on more than one machine, without automation.

Here at Tidal, we have helped many organizations make the switch from SolarWinds to LightMesh. We developed our LightMesh IPAM (IP Address Management) solution to provide advanced automation and ease-of-use for network engineers. If you’ve considered migrating away from SolarWinds IP Address Manager, this post will walk through how to make the switch.

Sift is a machine-learning-powered diagnostic feature in Grafana Cloud that SREs and DevOps teams can use to automate routine parts of incident investigation, such as searching for new errors in logs, surfacing recent deployments, or identifying overloaded Kubernetes nodes. We want Sift to springboard you into an investigation, so useful context is already there by the time you see an alert or declare an incident.

With Ubuntu confidential AI on Azure, businesses can undertake various tasks including ML training, inference, confidential multi-party data analytics, and federated learning with confidence. The effectiveness of AI models depends heavily on having access to large amounts of good quality data. While using publicly available datasets has its place, for tasks like medical diagnosis or financial risk assessment, we need access to private data during both training and inference.