We hope this message finds you well in your start to 2024. As pioneers in the field of AIOps, we understand that the landscape is ever-evolving, and staying ahead requires continuous learning. That’s why we’re thrilled to remind you of a particularly invaluable resource at your fingertips—BigPanda University.
As our exploration through 2023 continues from the second blog segment, “Mobilise: From Signal to Action”, one undeniable fact persists: Incidents are an unavoidable reality for organisations, irrespective of their industry or size. In the APAC region, a surge in regulatory enforcement has been observed against large corporations failing to meet service standards, resulting in severe penalties.
As we’ve talked about before, our app is a monolith: all our backend code lives together and gets compiled into a single binary. One of the reasons I prefer monolithic architectures is that they make it much easier to focus on shipping features without having to spend much time thinking about where code should live and how to get all the data you need together quickly. However, I’m not going to claim there aren’t disadvantages too. One of those is compile times.
In recent years, IT departments have faced the challenge of adapting to an evolving landscape of demands. While the primary focus of traditional incident management solutions has been to reduce downtime, it's become clear that just reducing the amount of downtime isn’t sufficient. To truly mitigate the total impact of downtime, there must be a focus on reducing the damage and costs that accumulate while you are down.
$575 million was the cost of a huge IT incident that hit Equifax, one of the largest credit reporting agencies in the U.S. In September 2017, Equifax announced a data breach that impacted approximately 147 million consumers. The breach occurred due to a vulnerability in the Apache Struts web application framework, which Equifax failed to patch in time. This vulnerability allowed hackers to access the company's systems and exfiltrate sensitive data.
Non-Abstract Large System Design (NALSD) is an approach where intricate systems are crafted with precision and purpose. It holds particular importance for Site Reliability Engineers (SREs) due to its inherent alignment with the core principles and goals of SRE practices. It improves the reliability of systems, allows for scalable architectures, optimizes performance, encourages fault tolerance, streamlines the processes of monitoring and debugging, and enables efficient incident response.
With notable advancements in Artificial Intelligence (AI) within cybersecurity, the prospect of a fully automated Security Operations Center (SOC) driven by AI is no longer a distant notion. This paradigm shift not only promises accelerated incident response times and a limited blast radius but also transforms the perception of cybersecurity from a deterrent to that of an innovation enabler.
When an incident occurs, every second counts. On-call staff need to quickly get all the relevant information in front of them in a way that’s easy to digest so they can more successfully investigate the issue and communicate with relevant stakeholders.
We live in an always-on world, where things move fast and break often. Building stronger resilience is critical for operational efficiency and delivering great customer experiences. CIOs have heavily invested in ITSM solutions, but a centralized, queued approach is no longer meeting the needs of modern organizations when it comes to critical, customer-impacting issues.
