Over the past several years, one topic that has become of increasing importance for DevOps and site reliability engineering (SRE) teams is AIOps. Artificial intelligence for IT Operations (AIOps) is the application of artificial intelligence (AI), machine learning (ML), and analytics to improve the day-to-day operational work for IT operations teams.
Effective network troubleshooting requires collecting and correlating thousands of data points across your entire stack. The more data you ingest, however, the more data you have to search through in order to locate important signals. This can make it hard to find the information you need during time-sensitive investigations.
In our article on managing static credentials, we discussed the necessity of secrets — the passwords, tokens, and API keys that connect digital services together — and the importance of keeping them secure so that your infrastructure and data are kept safe from intrusion and misuse. For organizations delivering software at scale, managing credentials across multiple teams and projects can quickly become tedious and error-prone, creating bottlenecks and unnecessary risk.
