The business world is in constant flux, and the way we handle Incident Management (IM) needs to evolve alongside it. Incidents come in all priorities and urgencies, and while some can be addressed with any planning, others are simply unpredictable. That's why businesses can't afford to be caught off guard. The potential consequences of such incidents for businesses have never been greater. A single event can disrupt operations, damage reputations, and result in significant financial losses.

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.

You’re probably familiar with finding surprise, hidden charges if you’ve been using the cloud for a while. Data transfer fees are the most common source of unanticipated charges on Amazon Web Services (AWS). They can be so costly that some companies, like Netflix and Pinterest, have spent fortunes on data transfer fees — up to $30 million a year. In this post, we’ll share tips for navigating AWS data transfer costs and how you can optimize them.