Selector offers comprehensive monitoring, observability, and AIOps solutions for service providers and enterprises. The process begins with collecting, aggregating, and analyzing multi-domain operational data from various sources, such as SNMP, streaming telemetry, syslogs, and Kafka. Selector then applies advanced AI/ML techniques to power features such as anomaly detection, event correlation, root cause analysis (RCA), smart alerting, and a conversational GenAI-driven chat tool, Selector Copilot.

What's the secret to achieving the right balance for your platform?

Role: DevOps (Development and Operations) is a cultural and professional movement that focuses on collaboration between software development and IT operations teams, aiming to automate and streamline the software delivery process.

I wish someone had told me that I shouldn’t hop between frameworks. Just like learning four programming languages in your first year, in my experience spending time content switching as a beginner is wasted effort. If I’d spent a solid year learning how to deploy services on AWS, then when it was time to learn Azure, I’d see more similarities than differences and find it a lot easier to pick up a second public cloud.

To become battle-tested, you need to go through battles, not just read books or mentor newcomers. Both are helpful but the stakes are low. On the other hand, high stake jobs, such as running a big project or managing a team, are hard to get when you lack experience. So how can we solve this dilemma? Enter incident response.

The 2024 SRE Report highlights a pivotal shift in how organizations approach the reliability and monitoring of their services, especially those that extend beyond their direct control. According to the report, 64% of organizations now recognize the importance of monitoring productivity or experience-disrupting endpoints, even beyond their physical control.

Software complexity makes it harder for teams to rapidly identify and resolve issues. IT service management has evolved from an afterthought to a central part of DevOps. Microservices architectures are prone to delay or missed identification of such concerns. Monitoring mechanisms need to keep up with these complex infrastructures. Maintaining reliability and performance while harnessing this complexity requires a considered, data-driven approach.

In most engineering organizations, everyone agrees that in complex systems, failure is inevitable. It’s possible to prevent the recurrence of certain incidents, reduce their impact, or shorten the time to resolution. However, it’s impossible to avoid them altogether. In the past, we asserted failures are a result of people’s mistakes. It was all about “the bad apple theory,” focused on finding the “guilty party” and removing them to prevent future failures.

When your organization faces outages, errors, security breaches, and other incidents, you need to have a plan in place to take appropriate actions as needed. However, you also need a capable team of experts filling critical roles and responsibilities to execute those actions and effectively collaborate to resolve issues quickly. An incident response team, therefore should be developed in a way that avoids skills gaps in expertise.