Operations | Monitoring | ITSM | DevOps | Cloud

The process of delivering mobile apps utilizing cloud technology is known as mobile cloud computing (MCC). Complex mobile apps today carry out activities including authentication, location-aware features and providing users with customized communication and content. As long as your device is online, mobile cloud computing enables you to store and access data anywhere. This makes it possible for data to be sent without difficulty anytime required.

We are happy to announce that Bitbucket Pipelines now supports non-containerized Linux Shell Self-Hosted Runners. We have moved from beta to an official release. You can now create a self-hosted runner and run it on your Linux infrastructure without container restrictions. Since it is your infrastructure, you will not be charged for the build minutes used by your self-hosted runner.

It’s a fact of life: as the Kubernetes API evolves, it’s periodically reorganized or upgraded. This means some Kubernetes resources can be deprecated and later removed. We deserve to keep track of those deprecations and removals easily. For that, we have just released the new deprecated-api-versions policy for Kubewarden, our efficient Kubernetes policy engine that runs policies compiled to Wasm.

In this article, we present an overview of cluster monitoring using Rancher and Prometheus as well as provide some brief setup tutorials for both tools. We further introduce a metric visualization tool called Grafana that transforms your Prometheus time-series data into graphs and visualizations. MetricFire specializes in monitoring systems. You can use this product with minimal configuration to gain in-depth insight into your environment.

In this article, we are going to look at how to monitor Redis performance using Prometheus. This will allow Redis Administrators to centrally manage all of their Redis clusters without setting up any additional infrastructure for monitoring. To follow the steps in this blog, sign up for the MetricFire free trial, where you can use Graphite and Grafana directly on our platform.

Web servers are among the most important components in modern IT infrastructures. They host the websites, web services, and web applications that we use on a daily basis. Social networking, media streaming, software as a service (SaaS), and other activities wouldn’t be possible without the use of web servers. And with the advent of cloud computing and the movement of more services online, web servers and their monitoring are only becoming more important.

The Apache HTTP Server (Apache HTTPd) is one of the most popular open source web servers available. HTTPd was also the first project developed by the Apache Software foundation which now supports hundreds of well known projects including Kafka, Cassandra and Hadoop. Netdata has a public demo space where you can explore different monitoring use-cases. Check out the Apache demo room to explore and interact with the charts and metrics described here.

Throughout KubeCon + CloudNativeCon NA 2022, our team was able to speak to over 100 people from the cloud-native community to learn more about their thoughts and experience of the event. This blog will explore what the community thought was the hot topic of discussion at KubeCon + CNC NA 2022, which includes topics such as security, cost, and developer experience. Check out the full video below.

Engineering teams use a lot of single-domain monitoring tools. In fact, the average team manages and maintains 16 monitoring tools — and up to 40 — according to Moogsoft’s State of Availability Report. While IT leaders select and implement these tools to save teams time, our research finds they do quite the opposite. Engineers spend far and away more time on monitoring than they do on any other task — innovative, value-creating tasks included.

So, you’ve decided to use Azure as your primary cloud platform and want to calculate your infrastructure costs. You estimate them based on listed prices, and rest assured that your startup/project will meet its budget. And then, suddenly, at the end of the month, you receive an invoice from Azure for an amount two times higher than you originally expected.