There were some big IT headlines this past year. Microsoft acquired GitHub and IBM bought Red Hat. Kubernetes graduated from the CNCF incubator program. And the biggest headline of all—at least to those of us at Datadog, where we live and breathe monitoring—we released Datadog Agent version 6, a completely new monitoring agent written in Go! As we start the new year, we’d like to take a moment to recognize some of the incredible things our engineers accomplished in 2018.

Last week, the LogicMonitor executive staff kicked off a global tour across the LM offices to celebrate 2018 wins and share the company vision moving into 2019. This annual Company Kick-Off event (CKO) remains a strong tradition here at LogicMonitor, allowing team members to celebrate, collaborate and fuel-up for success in the coming year.

Meet Cameron. She’s a product manager at a mid-sized tech company, tasked with the challenge of increasing usage of their mobile app. She knows she’ll need all hands on deck to make this happen. But, previously when she’s set team-wide goals like this, things have quickly fallen off-track.

As you may know, Microsoft SQL Server is a relational database management system (RDBMS) developed by Microsoft. Several industries rely on SQL database servers for data storage and access because it supports a wide range of transaction processing, business intelligence, and analytics applications in corporate IT environments.

One of the biggest challenges Citrix admins face is uncovering answers for Citrix performance issues. When an application or a desktop is slow, people naturally pin the blame on the Citrix infrastructure. It’s possible that there could be issues stemming from the Citrix side of the house, but often the real culprits are the supporting infrastructure components: network latency, virtualization bottlenecks, AD issues, storage hotspots, database issues, etc.

This post is going to be a tad different and longer than what you are used to but I promise, it’s going to be an interesting one. We are going to build a serverless React + GraphQL Web app with Aws amplify and AppSync.

With AWS Lambda, we get scalability and resilience out-of-the-box. What’s more, AWS also provides built-in monitoring, logging and tracing support through CloudWatch and X-Ray. These built-in tools provide a good starting point but many developers eventually outgrow them as their serverless application becomes more complex. In this post, let’s take a serverless application and see how Dashbird can help you debug a serverless application.