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Clouds, caches and connection conundrums

We recently moved our infrastructure fully into Google Cloud. Most things went very smoothly, but there was one issue we came across last week that just wouldn’t stop cropping up. What follows is a tale of rabbit holes, red herrings, table flips and (eventually) a very satisfying smoking gun. Grab a cuppa, and strap in. Our journey starts, fittingly, with an incident getting declared... 💥🚨

Make the Most of your System Center Orchestrator Deployment

By licensing the Microsoft System Center suite, customers unlock a comprehensive array of tools encompassing server management, virtual machine administration, and automation capabilities. Frequently, customers are observed deploying automation use cases with System Center Orchestrator to meet specific infrastructure management needs.

Eight Cybersecurity Tips for Businesses in 2023

The online playing field for businesses in multiple niches has expanded, with the internet enjoying an overarching presence in various facets. New and larger markets have become more accessible through online platforms. All an established business needs is computer-based tools and an internet connection that won’t falter. Expansion is often rewarding but has its fair share of risks; thus, melding a nice blend of cybersecurity with a growing company is the safe way to go about it.

Netdata QoS Classes monitoring

Netdata monitors tc QoS classes for all interfaces. If you also use FireQOS it will collect interface and class names. There is a shell helper for this (all parsing is done by the plugin in C code - this shell script is just a configuration for the command to run to get tc output). The source of the tc plugin is here. It is somewhat complex, because a state machine was needed to keep track of all the tc classes, including the pseudo classes tc dynamically creates. You can see a live demo here.

Netdata Processes monitoring and its comparison with other console based tools

Netdata reads /proc//stat for all processes, once per second and extracts utime and stime (user and system cpu utilization), much like all the console tools do. But it also extracts cutime and cstime that account the user and system time of the exit children of each process. By keeping a map in memory of the whole process tree, it is capable of assigning the right time to every process, taking into account all its exited children.

Netdata, Prometheus, Grafana Stack

In this blog, we will walk you through the basics of getting Netdata, Prometheus and Grafana all working together and monitoring your application servers. This article will be using docker on your local workstation. We will be working with docker in an ad-hoc way, launching containers that run /bin/bash and attaching a TTY to them. We use docker here in a purely academic fashion and do not condone running Netdata in a container.

Failing in the Cloud-How to Turn It Around

Success in the cloud continues to be elusive for many organizations. A recent Forbes article describes how financial services firms are struggling to succeed in the cloud, citing Accenture Research that found that only 40% of banks and less than half of insurers fully achieved their expected outcomes from migrating to cloud. Similarly, a 2022 KPMG Technology Survey found that 67% of organizations said they had failed to receive a return on investment in the cloud.

Infrastructure Monitoring Today: How It Works & What It Does

The famous phrase “Houston, we’ve had a problem” isn’t a one off event for space missions or Tom Hanks — its a regular occurrence for most IT teams! Today’s IT teams are peppered with alerts indicating that something has gone amiss in their production environments. Visibility of uptime and performance is an essential part of ensuring that your IT infrastructure can power applications to meet business needs and deliver value for users.

Canonical releases Charmed MLFlow

London, United Kingdom, 26 September 2023. Canonical announced today that Charmed MLFlow, Canonical’s distribution of the popular machine learning platform, is now generally available. Charmed MLFlow is part of Canonical’s growing MLOps portfolio. Ideal for model registry and experiment tracking, Charmed MLFlow is integrated with other AI and big data tools such as Apache Spark and Kubeflow. The solution runs on any infrastructure, from workstations to public and private clouds.