Operations | Monitoring | ITSM | DevOps | Cloud

Overall, 59.77% of these customers said “All 3 of These Areas” are on the radar! Software as a Service (SaaS) has become a staple in the modern workplace. With the new last mile of the office network, businesses have had to adapt to a hybrid work-from-home model, making SaaS apps more critical than ever. In fact, Gartner predicts that the SaaS industry as a whole will see 16.8% growth in 2023.

An Azure Load Balancer is a Layer-4 (TCP, UDP) load balancer that provides high availability by distributing incoming traffic among healthy VMs. A load balancer health probe monitors a given port on each VM and only distributes traffic to an operational VM. Azure Load Balancers are frequently used in Azure Virtual Desktop (AVD) deployments. From our work with Azure Load Balancer, we think there are 4 key metrics and events you should proactively monitor and alert on.

Artificial Intelligence (AI) - or more specifically Machine Learning (ML) - and automation were big topics for many of our customers in 2022. Common reasons for the interest in AI and automation were to: increase efficiency, reduce manual processing, minimise human error and - especially for the use of ML - identify ‘unknown unknowns’.

My son, currently nine years old, is an active Cub Scout and we’re coming up on one of the most popular Cub Scout yearly events, the Pinewood Derby. For anyone not familiar with the Pinewood Derby, it is a competition where the scouts are given a small block of wood along with four little plastic wheels and are given the opportunity to design a car that will be raced against other scouts.

For the past couple of years, no one has been able to escape the effects of supply chain problems throughout their personal and professional lives. According to our recent State of Hybrid Cloud Storage survey, storage and the IT equipment that supports storage systems were no exception, and disruptions created extra work and headaches for those teams.

With k6 Cloud, Grafana Labs is in the business of generating load — lots of load, distributed across a cluster of computers. So while our customers care about the systems they load, we care that our system can generate the load that they need and process the test metrics for them in an intuitive, explorable way.

DevOps engineers wishing to troubleshoot Kubernetes applications can turn to log messages to pinpoint the cause of errors and their impact on the rest of the cluster. When troubleshooting a running application, engineers need real-time access to logs generated across multiple components. Collecting live streaming log data lets engineers: The challenge that engineers face is accessing comprehensive, live streams of Kubernetes log data.