Monitoring tools share alerts in a variety of formats, with inconsistent data points and crucial information missing. That leaves you and your team stuck in the middle, trying to analyze and act on incomplete or irrelevant alerts requiring lots of manual intervention, time, and energy to communicate and coordinate during incident response. Standardizing your alert payloads is a key starting point if you want to improve your alert correlation.

If you’re reading the Blameless blog, you probably have a good idea of how important reliability is to your customers’ happiness, your business’s bottom line, and your overall sanity. Unfortunately, this perspective is frequently downplayed by management. Even if they understand the importance of reliability, they often see it as something that should emerge automatically from having the right mindset, and not something that requires investment.

It's fair to say that effectively managing an on-call rota is crucial for ensuring the 'round-the-clock availability of your services. But it's more than that. Spending the time getting your rotas right also empowers and protects the folks who make it all possible: your team. Some best practices for doing this include using software to automate scheduling, setting up teams with clearly defined responsibilities, establishing escalation policies, and defining time limits for issue resolution.

Organizations looking to win the market and drive great customer experiences need to deliver on the promise of exceptional service, meaning fewer interruptions and faster resolution. This can be done by embedding automation across the incident management lifecycle for major incidents, and bringing in humans where it makes sense.

The IT world thrives on uptime, efficiency, and seamless experiences. But amidst software and servers, glitches and disruptions threaten to bring operations to a halt. When these disruptions arrive, Incident Management takes center stage, collecting resources to restore order and minimize the chaos. Yet, simply fixing the immediate issue isn't enough. Preventing future disruptions requires delving deeper, finding the root cause, the reason that triggered the incident.

Could ServiceNow’s AIOps be the solution to anticipate incidents better, minimize events, and slash your resolution time? When deployed correctly, this popular AIOps tool offers many benefits to IT operations teams. We’ll explain everything you need to know to understand ServiceNow AIOps, its main product features, benefits, and common use cases. Discover how AIOps outperforms traditional IT operations tools in today’s dynamic IT environment.

Asking engineers to be on-call is usually a tough sell. Think about it: if someone asked you to add even more to your already packed workload, that would be a difficult proposition to say yes to. And that’s before you mention that this work typically happens late into the day and even (some) sleepless nights. Companies need to have an on-call function to keep their services and products running smoothly—it’s practically a non-negotiable at this point.

You may have a team chat where automatic alerts fall in great numbers daily. Although these alerts are meant to notify you of issues, they often go unnoticed as you scroll through dozens of them. When we talk about IT alerts, things are getting even more complicated because they include many technical details you must decipher. This is one of many simple examples of alert fatigue.

In today's fast-paced digital landscape, ensuring the reliability of services is paramount for businesses aiming to deliver seamless user experiences. However, as the complexity of companies' environments grows, ensuring your services, infrastructure and applications are reliable and resilient to failure is challenging. It’s naive to think all services and infrastructure are operating 100% as designed.

Cloud cost management, also referred to as cloud cost optimization, is the process of managing and controlling a company’s spending on cloud services. This can be achieved through a variety of methods, such as usage monitoring, resource optimization, and cost forecasting. The first step in managing cloud costs is to understand how cloud resources are being used. This involves tracking the usage of each service and identifying any trends or patterns.