In today’s economic climate, IT and security budget owners are always looking for ways to increase efficiency while controlling costs. With tighter budgets and increasing workloads, organizations have to find ways of stretching their limited resources while making sure investments are paying off.
Grafana has been a staple visualization tool used alongside InfluxDB since its inception. With the release of InfluxDB Cloud powered by IOx, there is now a new way to integrate InfluxDB and Grafana: Flight SQL. Two of our engineers, Brett and Helen, have been working hard to create a new Grafana plugin called Flight SQL. This open-source plugin allows users to perform SQL queries directly against InfluxDB IOx and other storage engines compatible with Apache DataFusion.
Monitoring is not a goal, but a path. Depending on the maturity of your project, it can be labeled in one of these six steps of the cloud monitoring journey. You will find best practices for all of them and examine what companies get from each one. From classic virtual machines to large Kubernetes clusters or even serverless architectures, companies have adopted the cloud as a mainstream way to provide their online services.
I lead the Grafana Loki project here at Grafana Labs, and I’ve always loved building things professionally and in my personal life, whether we’re talking about metalworking or coding — or, more recently, 3D printing. A couple years ago, I purchased my first 3D printer, a Prusa i3 MK3S+. I use it periodically to build functional items I use around my house in Upstate New York. For example, I recently decided to build a solar radiation shield for my outdoor weather station.
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.
