Operations | Monitoring | ITSM | DevOps | Cloud

AWS is a beast in cloud services and has more than 200+ services. It is not easy for a novice user to select the services that fit his need. Even after selecting the right service, you need to make sure you use it the right way because each service has many different variants. In this article, we will guide you about the top 5 most frequently used AWS services which every developer must know.

Responding to and managing incidents feels fairly straightforward when you’re in a small team. As your team grows, it becomes harder to figure out the ownership of your services, especially during critical times. In those moments, you need everyone to know exactly what their role is in order to recover fast. Moving to incident.io as the 7th engineer, from a scaleup of around 70 engineers, has given me a new perspective on what it means to own your code.

Released today, data from more than 1,300 global respondents combines with expert analysis to reveal goals, benefits, and challenges of cloud-native technology in 2022 16 May 2022 – Canonical, the maker of Ubuntu, today released data from a new global survey revealing the goals, benefits, and challenges of cloud-native technologies.

Mattermost v6.7 is generally available today and includes the following new features (see changelog for more details).

Curious about the Conda universe? Learn what Conda is & where it came from, what Conda packages are, which Conda communities to join, & more!

Containers are one of the most popular ways for businesses to deploy applications. They provide an easy method of packaging applications into self-sufficient units that can be used, moved around, and re-used in any number of ways without breaking the overall functionality of your software. With the possible exception of serverless architecture, containerization is perhaps the best way to achieve smooth, seamless application deployment and minimal hassle with updates and application maintenance.

For those who missed the live conversation, we had a great chat with Nana Janashia around taking the next click in with Kubernetes. As one of the great equalizers between the development and operations teams, Kubernetes has a duality of generics and opinions to power your workloads. This duality can be a complex one to navigate not only dealing with a new paradigm of idempotency and ephemerality but also dealing with a vast amount of choice and seemingly granular.

There are many different ways to run a Kubernetes cluster, from setting everything up manually to using a lightweight distribution like K3s. K3s is a Kubernetes distribution built for IoT and edge computing and is excellent for running on low-powered devices like Raspberry Pis. However, you aren’t limited to running it on low-powered hardware; it can be used for anything from a Homelab up to a Production cluster.

When looking for a highly scalable time series database, there are a number of criteria to investigate and evaluate. First up, it’s always a good idea to consider open source software. It’s more likely to have gone through comprehensive troubleshooting, it’s typically more reliable as it has more timely and widespread peer-review, it better guarantees technology independence, it’s easier to find engineers who are familiar with it and it has great security.