Operations | Monitoring | ITSM | DevOps | Cloud

Qovery the new standard for DevOps automation

Qovery is a DevOps automation platform that lets developers deploy and scale applications on their cloud by simplifying and automating infrastructure so tech teams can focus on what matters most: building great products. Designed for modern and innovative companies, Qovery delivers the ease of a PaaS with the flexibility and control of your own cloud. Qovery takes the toil out of DevOps, freeing engineers to focus on what matters, while providing a refined experience and full control at every stage of scaling.

Master and Securely Manage Apple's Latest Tools with Ivanti

Boost both IT efficiency and end-user productivity by delivering a better mobile device management experience. Your organization’s ecosystem likely includes a mix of Apple devices, including Mac laptops, iPhone models, iPad tablets, Apple Watch wearables and more. End users expect to harness the full power of these devices, but that’s not always easy for IT and security teams who face the challenge of seamlessly managing and securing those devices.

Observability - Not Just Dashboards and Alerts | Why Teams Like Uber & Salesforce Use Grafana Cloud

Grafana Cloud is a fully managed observability platform built on open source and open standards. From Fitbits to power grids, it helps teams monitor systems, cut through noise, and act faster. With 150+ integrations, Grafana Cloud unifies logs, metrics, and traces, giving visibility from backend to frontend. AI-powered guidance accelerates root cause analysis and simplifies on-call, while customers like Citigroup, Salesforce, Uber, and ASOS scale with confidence.

Frog-Proof Security: Streamlining The Sec In DevSecOps

What’s in store for Software Supply Chain security in 2026? With the types of software entering organizations ever-changing, and the volume ever-increasing, DevSecOps teams are facing new, and complex questions at macro and micro levels: How can teams effectively control and curate what enters systems? How can remediation be accelerated, while ensuring accuracy? How will the rising use of AI impact our threat landscape and can DevOps and Security teams truly share ownership of this emerging reality without adding friction?