Oil and gas companies operate in a high-stakes environment where the potential for catastrophic incidents, such as oil spills, explosions, and natural disasters always exists. These risks necessitate the establishment of robust crisis management for oil and gas companies to ensure the safety of their personnel and minimize potential damage to their operations and organizational reputation.

‍ AI has revolutionized various aspects of incident response, from preparation to resolution. Across the incident response lifecycle, AI is being leveraged to streamline processes, reduce noise, and improve overall efficiency. One critical area where AI is making a significant impact is in incident communication. Effective and efficient communication is crucial during incidents, as it ensures that stakeholders are informed and aligned with the incident status and resolution efforts.

Many organizations use incident response setups that enable them to page on-call personnel via calling or sending a message to a phone number. In this guide, you will learn how to configure such a system by using Grafana OnCall. For practical purposes, we’ll pair it with Twilio, though the same basic workflow should be applicable to other platforms. We will start with a basic setup that uses a phone number in Twilio to both call and send SMS messages to a webhook integration in Grafana OnCall.

Mean time to repair (MTTR) is a metric used to measure the average time required to diagnose and fix a malfunctioning system or component, ensuring it returns to full operational status. In software development, downtime halts user access and disrupts operations, leading to customer dissatisfaction and financial losses. In manufacturing, it slows production, affecting supply chains and profitability. In healthcare, downtime can compromise patient care and safety.

Clean, clear, and ready to be customized to suit your needs. Google Docs Having a dedicated incident post-mortem is just as important as having a robust incident response plan. The post-mortem is key to understanding exactly what went wrong, why it happened in the first place, and what you can do to avoid it in the future.

In today’s complex IT environment, clients demand quick, reliable services. To accomplish this, businesses have begun leveraging automation solutions to reduce response times and increase reliability, enabling staff to focus on strategic initiatives that drive business growth. However, many MSPs struggle to build an effective automation strategy and need help, making it challenging to remain competitive in the modern marketplace.

Managed Service Providers (MSPs) are the backbone for many businesses, ensuring that IT systems run smoothly and efficiently. They offer a cost-effective alternative to building an in-house tech team, often allowing companies to leverage cutting edge expertise without the significant expense and responsibility associated with expanding headcount.

Remind yourself of the worst incident your organization has faced. If you’re lucky it might have been your entire service being offline for a period of time. Less lucky, and perhaps you encountered something affecting the sensitive data your organization is the custodian of. Whilst uncommon, incidents of this severity happen to every organization at some point. This criticality of situation is what many refer to as a Sev0, the most severe of incidents.

Unplanned downtime can cost large enterprises almost $1.5 million per hour, according to a recent survey by Enterprise Management Associates. AIOps offers a solution. With an effective AIOps platform in place, you can decrease the frequency and cost of outages by 30% and reduce their duration to under an hour. AIOps platforms apply AI and machine learning to complex IT data to enhance and automate IT operations.

Feeling the pressure to constantly deliver new features? The struggle is real. But what if there was a way to measure your DevOps performance and transform your team into a release machine? This blog is all about DORA metrics, a data-driven framework to unlock DevOps agility. We'll explore what these metrics tell you, how to implement them, and ultimately, how to use them to turn your team into a release champion.