With the growing popularity of Kubernetes, the need for effective monitoring solutions has become crucial. LogicMonitor, a leading cloud-based monitoring and observability platform, has rolled out a new set of DataSources in its Kubernetes monitoring solution, LM Container, that uses data from the kube-state-metrics service to provide enhanced visibility into the state of Kubernetes objects.

“How do you know your web properties and APIs are up and functioning as expected for users, not just nationally, but across the entire planet?“ Splunk Synthetic Monitoring provides an effective solution to monitor and track the reliability of web properties from locations all over the globe. By generating simulated user or API requests with Splunk Synthetics you’ll quickly be able to measure response times from various locations, devices, and connection types.

As an operations engineer (SRE, IT Operations, DevOps), managing technology and data sprawl is an ongoing challenge. Cloud Native Computing Foundation (CNCF) projects are helping minimize sprawl and standardize technology and data, from Kubernetes, OpenTelemetry, Prometheus, Istio, and more. Kubernetes and OpenTelemetry are becoming the de facto standard for deploying and monitoring a cloud native application.

The Twelve-Factor App methodology is a go-to guide for people building microservices. In its time, it presented a step change in how we think about building applications that were built to scale, and be agnostic of their hosting. As applications and hosting have evolved, some of these factors also need to. Specifically, factor 11: Logs (which I’d also argue should be a lot higher up in the ordering).

Observability is a powerful concept that can help you gain insight into the performance of your systems and applications. It refers to the ability to measure, monitor, analyze, and manage different aspects of an infrastructure or application—from hardware components to application code. With observability techniques such as distributed tracing, monitoring metrics, log analysis, and anomaly detection, organizations can ensure their applications run smoothly without downtime or disruption.

Observability is critical to any software development. It is a term that describes the ability to monitor the performance and health of applications, services, and infrastructure. Observability aims to quickly identify and troubleshoot problems before they become full-blown incidents that can lead to costly downtime. But how much should you invest in an observability stack? Regarding the cost of your observability stack, there is no one-size-fits-all answer.

If the past year has taught us anything, it’s that the more things change, the more things stay the same. The whiplash and pivot from the go-go economy post-pandemic to a belt-tightening macroeconomic environment induced by higher inflation and interest rates has been seen before, but rarely this quickly. Technology leaders have always had to do more with less, but this slowdown may be unpredictable, longer, and more pronounced than expected.

The digital workplace has evolved dramatically over the past decade, both in terms of the increased reliance on technology for daily operations and the complexity of that technology. In order to manage an improve the digital workplace, service desk teams need more than just a comprehensive view of their IT environments — they need to be able to analyze that data in real-time to make faster, more continuously effective decisions. Enter: digital workplace observability.

Cloud has become the de-facto standard for new application development. Kubernetes solves many problems of modern-day cloud infrastructure. It has made microservices-based distributed software systems possible, enabling organizations to provide on-demand scaling. But at the same time, Kubernetes has also increased operational complexity. In simple terms, Kubernetes is a container orchestration tool. Container environments are dynamic and ephemeral.

Maintaining trust in the business services your customers rely on is everything. With ever-increasing customer expectations and the promise of ‘always-on’ services, poor digital experiences and outages can cause significant harm to your business. The Interlink Software AIOps and Observability platform strengthens IT teams’ capability to deliver more reliable, available digital services and reduce the risk of customer impacting disruption.