Operations | Monitoring | ITSM | DevOps | Cloud

Security teams need visibility across every system they defend, including cloud platforms, SaaS applications, security controls, identity providers, and custom services. But those systems all produce logs in different formats, with inconsistent field names and structures. That lack of standardization makes it harder to correlate events, write reusable detections, and investigate incidents quickly.

Software engineers use engineering performance metrics to make informed decisions about their products, features, processes, and even their dev teams. In addition, measuring lets you know if you’re on track to meet your engineering goals. With so many tasks, data, and other information to monitor, how do you choose the right metrics to track? We’ll share that and more in this guide.

Choosing the right tool to manage your infrastructure can shape how fast your team moves and how reliable your systems become. Two names appear in almost every conversation: Ansible and Terraform. Both help you define, manage, and scale your environment. But they solve different problems and work in very different ways. One focuses on configuration. The other focuses on provisioning. Both are powerful. Both are widely used. And both can work together in the right stack.

Virtual machines often represent the largest line item in a cloud bill. And for Google Cloud users, the Google Compute Engine (GCE) accounts for a large share of overall spend. GCE offers rich flexibility: you can choose specific machine types, scale up or down instantly, and match compute to load. But understanding how the pricing works is critical before you can unlock full value. On the surface, GCE looks simple. You pay for vCPU, memory, storage, and network.

A mid-sized e-commerce company needed a production-ready, multi-region web platform deployed on Azure, and they needed it fast. Their infra team was at capacity, and the deadline was two weeks. Using Agentic InfraOps, I handed the job to AI agents: from requirements gathering to Bicep deployment and validation. The result: fully documented, compliant infrastructure built in 13 hours, with 92% alignment to the Azure Well-Architected Framework and 85% time savings.

This blog post is based on a live presentation by Guillaume at a SymfonyCon 2023 on deploying applications with the Upsun platform-as-a-service. We utilized AI tools for transcription and to enhance the structure and clarity of the content. If you still use File Transfer Protocol (FTP) for deployment, this post is for you.

This updated analysis is based on StatusGator outage data collected from January 1 to December 9, 2025. We decided to review our AWS analysis of outages in 2022 due to several new AWS incidents, especially another widely discussed AWS outage in us-east-1 (N. Virginia) that occurred on October 20, 2025. We’ve expanded the report with fresh 2025 regional data as well as a new breakdown of affected AWS services.

This blog is based on Thomás Di Luccio's talk "Bulletproofing for Black Friday" from the Symfony 2024 conference. Thomás is a Developer Relations Engineer at Upsun. We utilized AI tools for transcription and to enhance the structure and clarity of the content. Picture this: You're a small ticketing startup that just landed a major deal with a large venue. After months of building features and preparing for launch, the big day arrives—season ticket sales go live.

If you’re running a SaaS business today, you’ve probably noticed the alarms never really stop. Logs. Alerts. Tickets. They pile up faster than many teams can triage them. Add multiple clouds, microservices, and AI-driven workloads, and suddenly, your “always-on” infrastructure feels like it’s always on fire. AIOps platforms promise to connect dots that human teams struggle to see fast enough. For engineers, these include surfacing root causes and outwitting outages.