Operations | Monitoring | ITSM | DevOps | Cloud

It’s one thing to say that reliability is a priority for your organization, and a whole other thing to make actual, demonstrable improvements in the availability of your applications. Sadly, it’s common for organizations to invest time, money, and effort into improving reliability only to barely nudge the needle on incidents and downtime. But there are hundreds of companies successfully improving their reliability posture—and doing it at enterprise scale.

Modern, distributed application architectures pose particular challenges when it comes to coordinating incident management. DevOps, SREs, and security teams—often spread out across separate locations and time zones, and equipped with limited knowledge of each other’s services—must work quickly to collaboratively triage, troubleshoot, and mitigate customer impact.

In the cloud-centric world of today, enterprises rely on highly available connectivity for access to public-facing Google Cloud apps, Google Workspace, or Google APIs. Some also need to access latency sensitive Secure Access Service Edge (SASE) solutions, combining security and networking services on one cloud platform.

AI-driven processes, including machine learning models and data processing, require significant computational resources which can lead to increased energy consumption and heightened operational costs. The complexity of these workloads, which often involve real-time data analysis and continuous model training, exacerbates the need for robust data center management.

When it comes to IT automation, the choice between a service orchestration and automation platform like Resolve Actions or building your own automation engine or workflow tool is a pivotal decision. While each option presents its own set of strengths and considerations, Resolve Actions emerges as a powerful solution for organizations looking to streamline their automation efforts. Here’s why.

Enacted by the European Union, the Digital Operational Resilience Act (DORA) establishes new standards for digital operational resilience in the financial sector. DORA changes the financial sector's approach to digital security and resilience by imposing stringent Information and Communication Technology (ICT) risk management, incident reporting, third-party risk management, and regular testing.

We went live with our first set of AI-enabled features a few months ago. Needless to say, we learned a lot along the way, as this was the first time we had experimented with generative AI. Here, I'll share some of what we've learned as we’ve grappled with using LLMs to power new products at incident.io. This will be most applicable to the application layer, AI-enabled but not AI companies.