Operations | Monitoring | ITSM | DevOps | Cloud

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.

At the end of last year, I wrote about using Splunk to monitor the Know Your Customer (KYC) use case that is a regulation in most Financial Services Institutions in many countries. The last part of the regulation states that continuous monitoring of your customers in terms of their interactions and transactions needs to take place.

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.

Whether you're a small business or a large enterprise, working with data consumes time and effort. But what if there was a way to turn this data into opportunities for growth? That’s what DataOps offers. DataOps helps create a collaborative environment to improve data quality by automating manual processes. Research shows the market for DataOps platforms will grow from USD 3.9 billion in 2023 to USD 10.9 billion by 2028. This growth shows how steadily organizations will streamline their operations.

Google Cloud Operations, formerly known as Stackdriver, is relatively new to the observability space. That being said, its position in the GCP ecosystem makes the platform a serious contender. Let’s explore some of the key ways in which Google Cloud Operations differs from Coralogix, a strong full-stack observability platform and leader in providing in-stream log analysis for logs, metrics, tracing and security data.

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.

Keeping your organization thoroughly protected involves a number of different activities that fall under the domain of Governance, Risk, and Compliance (GRC). The framework addresses aspects that go from regulatory requirements to cybersecurity threats. Under the realm of IT Asset Management (ITAM), the right ITAM tool empowers organizations to take control of their assets, manage risks, and stay compliant.

As technology advances and business environments become increasingly competitive, your DevOps team has to continuously improve your product. The challenge is to free up their time so that they can release new product features and improve existing ones. Automating repetitive tasks is one way to accomplish this. Manual approaches also tend to generate or miss errors, slow time to market, and fail to test and monitor system health quickly enough.