Operations | Monitoring | ITSM | DevOps | Cloud

To All Opsgenie Customers-It's Time to Move On (with ilert)

We weren't caught by surprise by Atlassian’s recent announcement that Opsgenie will end sales in the summer of 2025 and discontinue the service in 2027. We heard from new clients who decided to favor ilert over Opsgenie that the Atlassian platform has stagnated for some time now. What did surprise us, however, were the alternatives Atlassian offered its existing Opsgenie users. ‍ We decided to write this explainer to help users make a knowledgeable decision and migrate smartly.

Enhancing SAP Monitoring and Incident Management with IT-Conductor and ilert

We are excited to announce the integration of ilert with IT-Conductor, a SaaS-based IT operations management and automation platform. This partnership enhances IT-Conductor’s powerful capabilities with ilert’s advanced alerting and incident management, ensuring that IT teams can address issues faster and more efficiently.

5 strategies to reduce false alerts in server monitoring

There are two types of alerts you don't want: We call these false alerts. As a person with responsibility over your IT infrastructure, it is natural that you have configured your monitoring systems to alert you at every step. But when these false alerts take up too much of your time, one of these unfortunate scenarios may occur: Let's explore more about false alerts before we dive into five strategies to avoid them.

From Beeps to Breakthroughs: How Mobile Apps are Taking Over Pagers in Healthcare

In recent years, the healthcare industry has been facing a pivotal shift on the communication front, with smartphones outpacing pagers as the tool of choice. So, I want to highlight how this shift came to be and why legacy pager systems fall short in the era of real-time communication and collaboration. From patient outcomes to streamlining workflows, I will uncover how HIPAA-compliant mobile technology is transforming the way doctors, staff, and patients communicate.

The Importance of Automated Incident Notification for Cybersecurity Teams

In today’s digital landscape, cybersecurity threats are evolving at an unprecedented rate. Organizations must be prepared to detect and respond to incidents swiftly to mitigate potential damage. One of the most critical components of an effective incident response strategy is an automated incident notification system like OnPage. Such systems ensure that on-call cybersecurity teams receive alerts in real-time, enabling them to take immediate action.

Emergency notification software

During an emergency, swift delivery of critical information is key to successfully managing a crisis. Unfortunately, when teams don’t employ effective emergency notification software, response times can be significantly delayed. That’s why choosing the best emergency notification system software for your team ultimately ensures that notifications are always delivered promptly to ensure the protection of lives and valuables.

Why OnPage Outperforms Epic Secure Chat for Critical Communication

Electronic Health Records (EHRs) like Epic are undoubtedly pivotal to modern healthcare. With their intuitive interfaces and deeply integrated clinical decision support systems, Epic has become a cornerstone in patient care. But when it comes to communication, particularly for urgent and critical workflows, Epic Secure Chat often leaves healthcare providers searching for alternatives. At OnPage, we’ve built a platform specifically designed to meet the nuanced demands of healthcare communication.

Fine-tune notifications with Alert sensitivity

We’re excited to introduce a new feature that gives you greater control over how and when you receive alerts from your website and ping monitors. With Alert sensitivity, you can now specify the number of retries before an alert is triggered, reducing false alarms and ensuring more reliable notifications.

Weaving AI into SIGNL4

Over the past two years, artificial intelligence (AI) has experienced remarkable growth, significantly influencing various sectors and daily life. In 2023, the release of advanced large language models (LLMs), such as OpenAI’s GPT-4 and Google DeepMind’s Gemini, marked a pivotal shift by enabling AI systems to process and generate diverse data types, including text, images, and audio.