Operations | Monitoring | ITSM | DevOps | Cloud

Test Data Management and SOC 2 Compliance | The Tony and Tonie show Ep43

SOC 2 compliance isn’t just about protecting data in your production systems. Your test data may also be exposing you to risk. Here’s how to get it under control. Using production data outside prod is one of the fastest ways to create compliance risk. Tony and Tonie discuss how a Test Data Management approach gives you the control, automation and traceability that SOC 2 demands, without slowing down development.

Telemetry Talks ep 4: Retroactive sampling and OpenTelemetry

This episode of Telemetry Talks explores the evolution of an OTLP/gRPC tracing pipeline for VictoriaTraces within OpenTelemetry and VictoriaMetrics, including a shift from standard gRPC-Go to a simplified HTTP/2-based implementation to reduce complexity and improve flexibility. Together with the our guest, Jiekun, we revisited the VictoriaMetrics KubeCon talk ideas on tail-based and retroactive sampling — and their impact on the broader OpenTelemetry community.

Resolve Webinar: Introducing AgentLab: The Foundation of the Autonomous Service Desk

Most service desks still operate across fragmented systems. A single ticket can touch 4–7 tools, often more, slowing resolution and increasing cost. Copilots suggest. Traditional automation executes fixed paths. Neither closes the loop. AgentLab changes that. In this webinar, we introduce a new model built on agentic AI and orchestration. One where AI agents don’t just assist. They act, adapt, and resolve.

DORA Metrics in the AI Era: Why Deployment Isn't Faster

DORA metrics in the AI era reveal a paradox: PR volume is climbing, but deployment frequency is staying flat. In this talk, GitKraken's Director of Product Jeff Schinella breaks down why AI-accelerated code generation is creating a review bottleneck that your DORA metrics can't fully explain on their own. Jeff walks through how PR metrics (cycle time, first response time, code churn, and PR size) serve as the leading indicators behind your DORA data. If your deployment frequency is flat while PR counts go up, the bottleneck isn't your devs. It's your review capacity.

Detect, Communicate, Resolve: Checkly's Agentic Workflow End-to-End

Coding agents are the fastest-growing audience for the Checkly CLI, and we're doubling down on them. In this session, Stefan hands Claude a real e-commerce app, lets it set up monitoring with `npx checkly init`, generate Playwright tests through MCP, and walk an actual alert end-to-end with Rocky AI in the loop.