Operations | Monitoring | ITSM | DevOps | Cloud

API Management (APIM) helps organizations publish APIs to external, partner, and internal developers to unlock the potential of their data and services. API Management provides the core competencies to ensure a successful API program through developer engagement, business insights, analytics, security, and protection. This blog will cover the key concepts about Azure API Management followed by monitoring them in various perspectives using Serverless360.

JFrog is excited to announce it has expanded its DevOps offerings on the AWS Marketplace to include the most advanced Container Registry in the market, and an advanced Universal DevSecOps solution allowing developers to invent the best code ever while leaving the overhead to us. In this blog, we will introduce our latest offerings – JFrog Container Registry and Cloud Pro X.

December 2, 2019 Corporate infrastructures get more complex as they expand, incorporate more applications, become more highly distributed, become more siloed, increasingly hybrid, and handle more data. This is a widely acknowledged phenomenon, even if there’s not yet a “Moore’s Law” of infrastructure complexity. And complexity invites issues.

After months of planning and anticipation for sponsors, attendees, and speakers alike, it’s a bit surreal that re:Invent 2019 is actually upon us! In addition to setting up shop in the Expo hall with the team to chat with re:Invent guests about their current serverless development workflows (and how Stackery can supercharge it), I made sure to attend some choice presentations this week.

This blog will brief on Azure Logic App Expressions. Before getting deep into Logic App expressions let us have a short introduction about Workflow Definition Language in Azure Logic Apps.

“SLO is a favorite word of SREs,” Björn “Beorn” Rabenstein said during his talk at KubeCon + CloudNativeCon in San Diego last week. “Of course, it’s also great for design decisions, to set the right goals, and to set alerting in the right way.

Grafana is everywhere. Almost every DevOps team out there is currently in the process of creating a proof of concept enabling them to implement Grafana into their stack—if they have not already implemented it, that is. Teams are eager to employ Grafana’s highly effective visualizations and dashboards that monitor and track services’ functionality and performance.