grype VS Grafana

Besides pointing pentester tools like metasploit at yourself, there are some nice scanners out there.

https://github.com/quay/clair

https://github.com/anchore/grype/

Using Grype:

In the lab to follow, we'll see how vulnerability scanning can be conveniently achieved with Grype and how various systematic techniques can be applied to start securing our microservices at the container image level.

Scanning your container images for vulnerabilities is a good approach. But this scanning is not one time job, it should be done regularly (weekly, monthly, etc.) You need to follow vulnerability reports and fix all of the vulnerabilities as soon as possible. I recommend some open-source tools that could be useful: Trivy, Docker-Bench, Grype.

Grype is another popular open source tool from Anchore. Working with SBOM files, Grype scans container images and filesystems for vulnerabilities. Grype supports different output formats for vulnerabilities and custom templates for output.

Grype (https://github.com/anchore/grype)

Grype will allow you to scan a container to see if you have any vulnerable packages.

https://github.com/anchore/grype 5.6k stars, updated 3 days ago

I have a Docker image that I built with python:3.10-slim. I wanted to start scanning my images so I'm using grype to do it locally with the plan to introduce it to a GitHub Actions workflow. After I ran the scanner, there was one critical issue found: libdb5.3 CVE-2019-8457. I looked it up and it seems to be an issue with sqlite.

Monitoring application logs is a crucial aspect of the software development and deployment lifecycle. In this post, we'll delve into the process of observing logs generated by Docker container applications operating within HashiCorp Nomad. With the aid of Grafana, Vector, and Loki, we'll explore effective strategies for log analysis and visualization, enhancing visibility and troubleshooting capabilities within your Nomad environment.

To help us visualize these scenarios, we'll build a Grafana Dashboard so we can follow along.

Visualization and Analysis: Choose a tool with intuitive and customizable dashboards, charts, and visualizations. A question to ask is, "Are the visualization features of this tool user-friendly and adaptable to our team's specific needs?" Tools like Grafana and Kibana provide powerful visualization capabilities.

Prometheus: Open-source monitoring system. Often used together with Grafana.

Grafana

Yes I'm aware that Grafana is open source but the method I used to find the API endpoints is far quicker than digging through hundreds of files in a codebase I'm not familiar with.

So, you will add one last container to allow us to visualize this data: Grafana, an open-source analytics and visualization platform that allows us to see traces and metrics simply. You can set Grafana to read data from both Tempo and Prometheus by setting them as datastores with the following grafana.datasource.yaml config file:

In example above, we use 2 additional parameters: code (HTTP response code) and page (page identifier), which provide detailed statistics. For example, you can build such graphs in Grafana:

Robin switched to the Grafana dashboard tab, and sure enough, the 5xx volume on web service was rising. It had not hit the critical alert thresholds yet, but customers had already started noticing.