Although Grit is a tool code code migration and management of technical debt for large chunks of work, we reviewed Grit from the use case of assisting in faster remediation of vulnerable libraries. We examined 3 areas and how we could use the synergy of Grit.io along with Snyk.io that helps overcome Snyk's limitations: 1. Deep scanning and reachability analysis 2. Management of auto-generated Pull Requests (PRs) 3. Reduction of false positives I'm connected and had interactions with the founder Mr. Morgante Pell, while I designed a comprehensive synergistic solution, and I wrote a 35+ page technical paper on this topic.
The solution is mainly used for stack observability. It observes service behavior or any kind of failure that may be happening. The tool is also related to research. My company is working more on this, but I have been working on my SLOs and defining SLOs for the last seven months.
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Application Performance Monitoring (APM) and Observability help improve the efficiency of applications by providing visibility and insights into system performance.
Application Performance Monitoring and Observability involve tracking and analyzing the performance of applications and infrastructure. APM focuses on detecting and diagnosing performance issues, while Observability emphasizes gaining insight into the internal state of systems. By combining these approaches, IT teams can ensure...
Although Grit is a tool code code migration and management of technical debt for large chunks of work, we reviewed Grit from the use case of assisting in faster remediation of vulnerable libraries. We examined 3 areas and how we could use the synergy of Grit.io along with Snyk.io that helps overcome Snyk's limitations: 1. Deep scanning and reachability analysis 2. Management of auto-generated Pull Requests (PRs) 3. Reduction of false positives I'm connected and had interactions with the founder Mr. Morgante Pell, while I designed a comprehensive synergistic solution, and I wrote a 35+ page technical paper on this topic.
The solution is mainly used for stack observability. It observes service behavior or any kind of failure that may be happening. The tool is also related to research. My company is working more on this, but I have been working on my SLOs and defining SLOs for the last seven months.
There aren't any specific use cases for the solution as such. In our company, we use the solution for SLA and SLO-related work.