Operations | Monitoring | ITSM | DevOps | Cloud

There is observation then there’s analysis. Log Analytics falls under the latter category. Observation and analysis are not mutually exclusive; one builds upon the other. Similarly, Log analytics advances beyond simple log monitoring, enabling observability teams to identify trends and irregularities throughout your enterprise. To demystify what is Log Analytics, let’s first have a look at the definition.

For years “the move to the cloud” implied a singular event – a singular migration to a singular entity. It all sounded so simple. Yet, the “simple” act of moving to the cloud stands in stark contrast to the reality of today’s complex, hybrid IT estates where the overwhelming volume of data flows can make it challenging for IT teams to effectively pinpoint and rectify service incidents.

So, you’ve been tasked with automating one or more of your tedious, time-consuming IT processes… but, what exactly does that mean? And perhaps more importantly, where on earth do you start? IT process automation (ITPA) can cover a broad spectrum of potential use-cases, ranging everywhere from the Service Desk, to the NOC, to Infrastructure, and well beyond.

Ciara Carey reflects on her experience at the KubeCon event in Paris including her top 10 talks and current industry trends.

Traditionally, data centers have been managed using on-premises software – and for many companies, this solution has been sufficient. However, as the data center environment becomes more intricate and dynamic, a new approach to management is required. Cloud-based Data Center Infrastructure Management (DCIM) software has emerged as the next generation of management tools, offering unmatched flexibility, scalability, and cost-effectiveness.

On March 12 Google began promoting INP (Interaction to Next Paint) into a Core Web Vital metric in an effort to push performance beyond page loads. This means your website or application’s SEO ranking may be impacted if users do not have smooth interactions on the site or app. While this change is a net positive for users, finding the root cause of these reported slow interactions can be tricky for developers.

Microsoft Azure provides an array of managed services to support many aspects of cloud computing, including application development, workload migration, and data management. To help you monitor the health and performance of these services, Datadog offers integrations with more than 40 Azure services, including Azure Kubernetes Service (AKS), Cosmos DB, and Azure App Services. Each integration provides robust data visualizations, meaningful alerts, and one-click Datadog Agent deployment.