Since the release of the first iPad, businesses have been clamoring to use it as a corporate device. Over the years, more enterprise capabilities have been added to iPads, allowing IT admins to provide protection while fulfilling various use cases – depending on whether the device is corporate-owned or a BYOD deployment.
Every manufacturing unit thinks of maximizing its profits, which can be done by enhancing its production or reducing expenses. Asset management software can be helpful in increasing return on investment (ROI). To increase productivity, one must follow a rigid process of good management in the whole system. Automation plays a very important role in this.
Managing on-call schedules and escalation chains, especially across many teams, can get cumbersome and error prone. This can be especially difficult without as-code workflows. Here on the Grafana OnCall team, we’re focused on making Grafana OnCall as easy to use as possible. We want to make it easier to reduce errors with your on-call schedules, create schedule and escalation templates quickly, and fit on-call management into your existing as-code patterns.
As the costs of managing and maintaining owner-operated data centers rise, enterprises are reconsidering their infrastructure and attempting to minimize on-premises data center space. Colocation data center providers are an attractive and cost-effective solution, offering physical space as well as power, cooling, network, and security services for their customers.
Someone once described dashboards to me as “expensive TV for software engineers.” At first, I stood there quietly shocked—dashboards had informed many root cause analyses (RCAs) in my life as a developer.
Your liveness and readiness HTTP endpoints can generate a bunch of useless Spans and can mess with your latency metrics. On this post we’ll learn how to configure Kamon Telemetry to completely ignore these enpoints for good.
Microsoft Azure’s recently launched new Azure Virtual Machines (VMs) feature the Ampere Altra Arm-based processor. These new VMs are engineered to efficiently run horizontally scalable workloads such as web servers, application servers, and open source databases. They deliver excellent price-performance and represent an important addition to Microsoft Azure's portfolio of instance types.
