Operations | Monitoring | ITSM | DevOps | Cloud

If you’re a network admin reading this, you already know the feeling. You’ve probably lost track of how many hours you spend doing the same repetitive tasks week after week, month after month. Backing up configs manually. Rolling back failed changes at 2 AM. Hunting down that one switch that somehow lost its configuration. Compiling compliance reports that should take minutes but somehow eat up your entire afternoon. Yet all those “quick” tasks add up.

Health Insurance Portability and Accountability Act (HIPAA) compliance is about more than firewalls and passwords. Your file-sharing solutions could be the weakest link in protecting sensitive patient data. When we think about healthcare cybersecurity, we tend to focus on large systems: electronic health records, databases, and billing platforms. But one everyday workflow that’s also as vulnerable – and often overlooked – is file transfer.

Observability tools like Honeycomb are built for engineers, not PM teams… but that doesn’t mean there’s no benefit to having your PMs in Honeycomb. Whether it’s debugging a weird customer issue or tracking how a feature is used in the wild, observability gives PMs something traditional product tools can’t: real-time answers with full context, down to a single user.

As part of our big tent philosophy at Grafana Labs, we think you should be able to dig into your data and find meaningful insights — wherever that data happens to live. For many of our users, that data lives in Salesforce, the cloud-based customer relationship management (CRM) platform. In this post, we’ll take a closer look at how you can use the Salesforce Enterprise data source for Grafana to quickly and easily visualize your Salesforce data using Grafana dashboards.

When application performance monitoring detects a spike in latency or error rates, the immediate challenge is determining the underlying cause. APM logs address this by correlating performance metrics with the specific log events that occurred at the same time. Instead of switching between monitoring dashboards and manually searching through log files, APM log correlation consolidates both views.