Editor’s Note: This post was originally published in September 2019. It was updated with new insights and perspectives in August 2024. Five years ago, my then-colleague and retail pundit Peter Ward explained why he was such an advocate of self-service technologies at a time when scan-and-go and self-checkout (SCO) were really starting to capture retailers’ attention (and shoppers’ interest) around the world.

A well-thought-out Knowledge Management strategy lays the foundation for capturing, organizing, and sharing knowledge across your organization.Think about the collective brainpower within your organization: The expertise, the experiences, the insights that make your team tick. How do you make sure that the lessons learned, the successes and the failures are shared, built upon, and used to drive growth? Developing a Knowledge Management strategy can be the key.

The efficiency of your IT infrastructure can make or break your business, specially in the IT world. At the core of this infrastructure lies Network Management (NM)—a critical process that ensures your network operates smoothly, securely, and efficiently. Whether you're managing a small office network or a sprawling enterprise system, understanding NM is key to maintaining optimal performance and security. But what exactly does Network Management involve? And why is it so important?

When you hear about Adaptive Metrics in Grafana Cloud, all signs point to how it’s a game changer. Adaptive Metrics, which aggregates unused and partially used metrics into lower cardinality versions, has delivered a 35% reduction in metrics costs on average for more than 1,200 organizations. Companies have also spoken candidly about the cost savings they gained from the feature.

Managing multi-cloud environments often means juggling different monitoring tools for each provider, leading to increased complexity and operational overhead. To solve for that, we’re excited to introduce Cloud Provider Observability — an application for monitoring AWS, Microsoft Azure, and Google Cloud services, all in Grafana Cloud.

RMM vs MDM software, which one is the best for you? Flexible working arrangements have become the norm for organizations. While this has significantly improved business productivity, IT departments and managed service providers (MSPs) must now keep track of a variety of endpoint devices, including mobile devices. In fact, mobile devices are rapidly becoming integral to business operations.

At incident.io, we run an on-call product. Our customers need to be sure that when their systems go wrong, we’ll tell them about it—high availability is a core requirement for us. To achieve the level of reliability that’s essential to our customers, excellent observability (o11y) is one of the most important tools in our belt. When done right, observability improves your product experience from two angles.

In this article, we will examine a Kubernetes metrics server and its uses. We will also learn how to set one up and use it to monitor Kubernetes metrics. Finally, we will explore using Hosted Graphite by MetricFire to monitor Kubernetes metrics. To easily get started with monitoring Kubernetes clusters, check out our tutorial on using the Telegraf agent as a Daemonset to forward node/pod metrics to a data source and use that data to create custom dashboards and alerts.

OpenTelemetry can auto-instrument your Java Spring Boot application to capture telemetry data from a number of popular libraries and frameworks that your application might be using. It can be used to collect logs, metrics, and traces from your Spring Boot application. In this tutorial, we will integrate OpenTelemetry with a Spring Boot application for traces and logs. Before the demo begins, let's have a brief overview of OpenTelemetry.

Kubernetes is now the industry standard for cloud-based organizations. Slowly, many enterprises and mid-level companies are adopting it as the default platform for managing their applications. But we all know Kubernetes adoption has its challenges, as well as its associated costs. How do we decide when and what to migrate to Kubernetes? Does migrating to Kubernetes mean overhauling all DevOps processes? Adopting K8S should not lead to an overhaul of your DevOps process - it should complement it.