Logging is a key requirement of any production application. .NET Core offers support for outputting logs from your application. It delivers this capability through a middleware approach that makes use of the modular library design. Some of these libraries are already built and supported by Microsoft and can be installed via the NuGet package manager, but a third party or even custom extensions can also be used for your .NET logging.

Datadog is an awesome tool for aggregating and visualizing the metrics that matter to you. Recently, Datadog launched a new Incident Management feature, which allows you to coordinate the activities around a problem that affected your service. In this example, I’ll walk through using Relay to roll back a Kubernetes deployment that caused a service impact, and show how the Datadog Incident timeline can keep everyone working on the incident in sync.

Digital shopping has exploded over the last few months to levels no one could have planned for. Any kind of performance issue can negatively impact an eCommerce site and cause a drift in loyalty, bounce rates to go up and user conversions to go down. Not to mention how outages or slow page loading impacts employee productivity.

The COVID-19 pandemic has turned our world upside down. Unemployment has soared, entire industries have been impacted, and schools have been shut down. However, one huge change has remained under the radar. We’re on the cusp of witnessing the death of cities as we know them. To understand why let’s rewind to 1870: the start of the industrial revolution in the United States. Industrialization drove people from rural communities to cities.

I have been noticing that a lot of folks are often confused between event logging and tracing. In terms of building out a generic SD for devs to report on observability data, should Event APIs be distinct from Trace APIs? Is an Event just a single Trace Span ? If you look at Honeycomb’s implementation, an Event seems to be equivalent to a single span trace. The middleware wrapper creates a Honeycomb event in the request context as a span in the overall trace.

Since we launched Canvas in 2018, we have seen tons of our users create beautiful dashboards that tell stories with Elasticsearch data. In the spirit of making it even easier to get started, we are creating templates that you can import and get instantly beautiful dashboards for all the data the Elastic Stack captures.

A fireside chat to discuss use cases and deployment tips for AIOps with observability generated a stream of compelling questions from attendees, which the Moogsoft hosts answered with depth and expertise. Combining AIOps analysis with detailed observability data is key for DevOps and SRE teams to attain continuous service assurance, so Moogsoft just published a new ebook about this topic titled “Observability with AIOps For Dummies.”

The Covid-19 pandemic has to date killed more than 700,000 people while unleashing the deepest economic recession since the Second World War. The World Bank forecasts the global economy will register a negative growth of 5.2% in 2020, disrupting the livelihoods of millions of global citizens.

Marketing teams have the 4 Ps (product, price, place, and promotion). Sales teams have ABC (Always Be Closing). As far as frameworks go, there are a lot of great examples out there for how we can effectively do our jobs, create processes, and make decisions. But what about IT teams looking to optimize their services? Do any frameworks exist? One does, it’s called the triple-A framework—and it’s got nothing to do with batteries.