Operations | Monitoring | ITSM | DevOps | Cloud

In our previous blog, we talked about how LangChain and LangGraph help structure your agent’s behavior. But structure isn’t the same as visibility. This one’s about fixing that. Not with more logs. Not with generic dashboards. You need to see what your agent did, step by step, tool by tool, so you can understand how a simple query turned into a long, expensive run.

Today we are releasing oh-dear-api-examples a brand-new open-source repository on GitHub. It curates bite-size scripts, helpers and ideas for helping you bulk-manage your Oh Dear account via the API.

To be a successful gamer, you have to think strategically and creatively. Working as a software engineer at Electronic Arts (EA), a top video game company, requires the same skills. That’s especially true when it comes to monitoring the EA app, which is the launcher for EA games and used by hundreds of millions of people around the world.

The rising costs and complexities of monitoring cloud infrastructure are pushing many organizations to explore alternatives to Datadog. With monthly bills sometimes reaching thousands of dollars and feature sets that can be overwhelming, teams are looking for practical, cost-effective solutions that better fit their needs.

Modern enterprises depend on networks that are increasingly complex, dynamic, and opaque. Yet, instead of confronting this complexity head-on, most organizations fall into the trap of superficial control, layering more monitoring tools atop their stack in hopes of achieving resilience. In reality, this only fragments visibility, deepens operational silos, and leaves a crucial layer of the digital enterprise, the network, under-managed and misunderstood.

Cloud maintenance is a common practice in the tech industry. Whether you manage your own infrastructure or use a cloud provider, you will need to plan for maintenance and include it as part of your operational readiness. This ensures that your team is prepared for potential downtime and can deal with any incidents in a timely manner. This article will cover some best practices for planning for upcoming cloud maintenance.

Have you ever found yourself scratching your head over UDP packet loss? You're not alone. UDP (User Datagram Protocol) is a go-to for streaming, gaming, and VoIP, but when packets start going AWOL, it can spell trouble for your network's performance. Imagine you're in the middle of an important VoIP call, a critical online gaming session, or a live video stream, and suddenly things get choppy or laggy—that's UDP packet loss rearing its ugly head.

In today’s cloud-driven world, keeping track of your software services is no longer optional—it’s essential. SaaS infrastructure monitoring helps IT teams keep an eye on the performance, uptime, and health of all cloud-based applications and systems in real time. With businesses relying heavily on remote tools and digital platforms, monitoring your SaaS stack ensures smooth operations and quick issue resolution.

Modern applications are built using distributed architectures, microservices, and cloud-native technologies. As these systems grow in complexity, it becomes harder for DevOps teams to maintain performance, track issues, and ensure a consistent user experience across all environments. Application Performance Monitoring (APM) helps solve these challenges by providing real-time visibility into how applications behave, from user interactions to backend services and infrastructure.

Recurring revenue streams bring stability to any business. For MSPs, that stability can be an essential foundation for service innovation and pursuing growth. Offering subscription-based managed services is an obvious way to get recurring revenue in place. Collaboration platforms like Microsoft Teams and Zoom are prime candidates for subscriptions since businesses depend on them every day, at all levels of the organization, to be productive and profitable.