Improved GraphQL Support in Sentry
Beautiful syntax-highlighted GraphQL errors are coming — get ‘em while they’re fresh! Not that we encourage you to add more errors of any kind to your code. But if you do, they’ll now look so much better in Sentry.
Beautiful syntax-highlighted GraphQL errors are coming — get ‘em while they’re fresh! Not that we encourage you to add more errors of any kind to your code. But if you do, they’ll now look so much better in Sentry.
How large is your company’s IT infrastructure? How many devices and assets are attached to it? As large as it was yesterday, it’s probably larger today — and will be still larger tomorrow. This is compelling organizations to embrace device and asset monitoring under a “single pane of glass,” meaning via a unified, “single console” view of their entire network to enable unified endpoint management (UEM).
A guest blog from Donny van der Linde, Pre-Sales Consultant at eG Innovations’ partner Liquit covering how to leverage eG Enterprise’s monitoring in combination with Liquit Workspace technologies to build powerful proactive contextual access workflows to support automated application delivery. An example using eG Enterprise’s user experience metrics to trigger remediation via Liquit Smart Icons is given.
At Grafana Labs we meet our users where they are. We run our services in every major cloud provider, so they can have what they need, where they need it. But of course, different providers offer different services — and different challenges. When we first landed on AWS in 2022 and began using Amazon Elastic Kubernetes Service (Amazon EKS), we went with Cluster Autoscaler (CA) as our autoscaling tool of choice.
In the labyrinthine corridors of modern enterprise software, SharePoint Online stands as a beacon of collaboration and efficiency. It’s not just a tool; it’s a multifaceted platform that has been meticulously refined to meet the multifarious demands of today’s businesses.
When things go wrong, we’d all love the ability to go back in time, return things to the way they were, and fix whatever issues pop up at the start so they never happen in the first place. This is no different when maintaining complex microservices-based architectures. With any complex system, things are bound to go wrong from time to time.