Operations | Monitoring | ITSM | DevOps | Cloud

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.

We're StatusPal. We help DevOps and SRE engineers effectively communicate to customers and stakeholders during incidents and maintenance with a super-charged hosted status page. Check us out—your status page can be up and running in minutes. As the DevOps and Site Reliability Engineering (SRE) fields continue to mature in 2024, the choice of programming languages has become more critical than ever.

Learn about what makes a great incident management tool and about 5 alternatives to the market leader, PagerDuty.

Artificial Intelligence for IT Operations (AIOps) is an advanced analytics and operations management solution that is designed to help organizations address the challenges of monitoring and managing IT operations in the era of digital transformation. AIOps leverages the power of Artificial Intelligence and Machine Learning Technologies to enable continuous insights across IT operations monitoring.

In the world of IT monitoring and IoT systems, it is crucial to alert users promptly and reliably about critical issues. Whether it’s about security and ongoing systems at the workplace, in public facilities, or other places, the way in which alarm notifications are delivered can make the difference between chaos and an organized response in an emergency.

Often we receive a series of alerts that get auto-resolved within a short period of time. Such alerts are called flapping or transient alerts. In this blog, we'll explore Auto Pause transient alert (APTA) feature that detects flapping alerts and temporarily pause incident notifications hence reducing alert fatigue.

In the previous blog, we introduced what makes a bad alert and how being able to simply customise and fine-tune your detectors is critical to creating great alerts. The first category of detectors in Splunk Observability Cloud that we dived into was the out-of-the-box offering called AutoDetect. Customising and subscribing to these detectors is a great way to get up and running straight away with industry best-practice alerts and bring down MTTx.

We are very excited to share that we have added an innovative new capability to the Exgience platform – generative AI-powered incident summaries.

In the era of distributed workforces, the need for effective remote incident response is more critical than ever. This blog serves as a comprehensive guide for data center operations managers, offering insights and strategies to navigate incidents with precision and efficiency, regardless of the geographical location.