Operations | Monitoring | ITSM | DevOps | Cloud

Over the last few years we have slowly and methodically been building out the ML based capabilities of the Netdata agent, dogfooding and iterating as we go. To date, these features have mostly been somewhat reactive and tools to aid once you are already troubleshooting. Now we feel we are ready to take a first gentle step into some more proactive use cases, starting with a simple node level anomaly rate alert. note You can read a bit more about our ML journey in our ML related blog posts.

In today's cloud-driven landscape, organizations are transitioning from legacy monolithic systems to agile, scalable, and secure cloud-native solutions. Some are even forging new cloud-native applications. However, the concept of cloud-native design remains subjective, lacking a universal blueprint. This blog aims to provide clarity and guidance for designing precise cloud-native applications and container deployment.

Autoscaling the resources and services in your Kubernetes cluster is essential if your system is going to meet variable workloads. You can’t rely on manual scaling to help the cluster handle unexpected load changes. While cluster autoscaling certainly allows for faster and more efficient deployment, the practice also reduces resource waste and helps decrease overall costs.

Getting your applications running on Kubernetes is one thing: keeping them up and running is another thing entirely. While the goal is to deploy applications that never fail, the reality is that applications often crash, terminate, or restart with little warning. Even before that point, applications can have less visible problems like memory leaks, network latency, and disconnections. To prevent applications from behaving unexpectedly, we need a way of continually monitoring them.

A platform as a service, or PaaS, is one of the three major cloud computing service models. In our opinion, it’s the only one that successfully delivers all benefits of the cloud to software developers, including control, cost-effectiveness, flexibility, and scalability. Of course, other as-a-service models are still useful. In fact, all three main cloud computing models offer different advantages to organizations.

Developing apps takes a lot of blood, sweat, and tears. It can feel like a marathon that doesn’t even have the courtesy to end once you cross the finish line. From managing infrastructure to scaling, operations, and security (to name just a few things), it takes plenty of work to ensure that your cherished creation is loved by users and customers. App hosting takes much of this responsibility off your shoulders, and a solid Platform as a Service (PaaS) provider can go even further.

Want to invest in a virtual private network or SD-WAN tunnel but don’t know which one to use? It’s important to realize these technologies have many differences and serve unique purposes in your business environment. This guide will teach you more and help you make the right purchasing decision for your business.

Cloud computing has become the default way for deploying applications or services. Cloud computing offers companies, enterprises and startups the ability to avoid, or minimize, spending while leveraging the flexible nature of the cloud infrastructure to meet growing business needs. A growing challenge for applications is obtaining optimal availability at all times.

As multicloud adoption surges, so too do the choices for connecting to your clouds. We break down the key solutions and their benefits.