Operations | Monitoring | ITSM | DevOps | Cloud

Cloud native observability is at a watershed moment. The explosion of microservices has created previously unseen amounts of monitoring data, limiting the ability of humans and computer systems to extract meaning from data with last-generation tools. Debugging is often a process of detecting correlation, and then turning correlations into causal connections. This is where modern cloud native tooling comes in.

First of all: apologies...because although the title suggests otherwise, this blog is not about "Observability VS. Monitoring." It's a great misconception that observability is this hot new technology that's here to replace your monitoring tools.

Today, AWS announced enhancements for AWS Distro for OpenTelemetry. We’re working with AWS to build in additional support from partners. In tandem with that launch, Honeycomb is announcing support for event ingestion using OpenTelemetry Protocol (OTLP). With that change, you can simplify management overhead and configuration by no longer needing to maintain a separate OpenTelemetry exporter.

It’s safe to say that 2020 has been quite the year for everyone, and at Dashbird we’ve had quite a few changes of our own. It became the year full of improvements, growth, and feature releases that we had only imagined a year ago. This is our round-up of all the feature releases we launched this year. Just starting out with Dashbird? Great, you are in the right place.

First off, I’m going to make an assumption: I’m going to assume you—like me—have spent a lot more time online in 2020 than you ever have before. Thanks to COVID-19, we were all at home with nowhere to go. Many people started working full-time from home, and kids were out of school for months as springtime lockdowns extended into summer holidays.

APIs provide insights for development teams to configure and deploy DevOps infrastructure. API performance metrics aid in the contribution of operational functionalities to the project. API performance metrics are measured in a hierarchical structure in conjunction with operational API metrics. Operational metrics are the most basic set of the metric structure for measuring API performance. The metrics include number of API calls, CPU or memory usage.

Over the past year, many organizations have stagnated or struggled as a result of the global pandemic. Other businesses, specifically those who benefit from the widespread shift to remote work, have achieved unprecedented growth—none more so than video conferencing providers. Now, platforms like Microsoft Teams and Zoom are introducing new features that position them to become much more than video communication tools.

Earlier this year, as organizations around the world adapted to new remote working environments, Nexthink released a library pack to support IT teams through this transition. The Remote Worker Experience pack introduced a multitude of new dashboards, remote actions, investigations, metrics and Engage campaigns. All with a single objective: monitor, manage and improve the current remote working landscape.