Operations | Monitoring | ITSM | DevOps | Cloud

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.

In this article, we explained the benefits of combining signature-based detection by Suricata IDS with behavior-based detection by Flowmon ADS. Now, let’s talk about how to enable this feature using Flowmon Probe and Flowmon ADS.

Network detection tools utilize one of two prominent approaches for threat detection: AI-driven behavior-based methods capable of identifying early indicators of compromise, and signature-based ones, which flag known attacks and common CVEs. While these systems operate on distinct principles, their combination forms more robust defense mechanism, helps to consolidate tools, provides richer threat context and improves compliance.