Operations | Monitoring | ITSM | DevOps | Cloud

Protecting sensitive PII data with effective log management

Organizations rely heavily on logs or tracking changes, troubleshooting issues, and addressing authentication attempts. Although these logs are essential for ensuring a smooth onboarding experience, they often contain users' personally identifiable information (PII), including names, email addresses, phone numbers, and sometimes location or device details. The following sample log illustrates this scenario: 2025-11-01 09:12:33 ACCOUNT_CREATED - New user registered: Name: Michael Scott, Email.

The modern JFrog alternative: Why ConstructConnect switched to Cloudsmith

Is your artifact management slowing down your development velocity? In this video, we dive into how ConstructConnect migrated from JFrog Cloud to Cloudsmith–the world’s leading cloud-native artifact management platform–to eliminate hidden costs, simplify their CI/CD pipelines, and secure their software supply chain.

Stop Managing Infrastructure: How BHS Corrugated Scaled Artifact Management with Cloudsmith

Are you spending more time maintaining your artifact servers than building software? In this video, we explore how BHS Corrugated–a global leader in manufacturing technology with a presence in 20 countries–transformed their developer experience by moving from fragmented, self-hosted GitHub repositories to Cloudsmith: the world’s leading cloud-native artifact management platform.

Elephant in the Room, Episode 3: Building a CFP Review Platform with PostgreSQL & Django Live

In Episode 3 of Elephant in the Room, we move from discussion to delivery with a hands-on, live build of a real, community-focused application. Join Jay Miller, Abigail Mesrenyame Dogbe and Andres Pineda as they collaboratively design and build a CFP (Call for Proposals) review platform using PostgreSQL and Django. The aim: create a practical tool that helps speakers receive better feedback and helps organisers discover new and diverse voices.

Step 1 to Web App Deployment: Front-End Deployment

Front-end deployment is usually introduced as the easy part of web app deployment. "Build the assets and push them." Seems simple, right? Yet on the contrary, those 6 words have most likely caused more production issues than most error messages. Because while front ends do look simple, they are actually a delicate stack of assumptions wearing a UI that is misleadingly easy to use.

Cloud-native Android infotainment: your CI pipeline shouldn't depend on hardware

More and more often, infotainment systems are being developed and delivered like software, yet often they are still tested and validated using hardware-centric processes. This is far from ideal: access to devices is limited, environments are difficult to reproduce, and iteration slows down as soon as multiple teams need to work in parallel. These challenges become even more visible as cockpit systems move toward wide displays and high resolutions.

Why we open-sourced AURA: Infrastructure for production AI

Over the last year, I’ve talked to dozens of SRE teams about AI. The excitement is real, but conversations hit a wall when we get to production reality. How does an agent manage complex context without losing the plot? How does it avoid hallucinating relationships between signals? Who owns the orchestration logic that ties it all together? We realized the bottleneck wasn’t model intelligence. It was the lack of a reliable logic layer between the data and the model.

Grafana Alerting: faster rules, personalized filters, and an operations workspace

Alerts are only useful when you can quickly find and act on the right signal. That's why, over the past two years, we rebuilt Grafana Alerting’s UI to make it more reliable and efficient, especially at scale. The result: a faster, paginated alert rules page that handles tens of thousands of rules, with a powerful filter dropdown and saved searches so you can quickly get back to the views you care about most.