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Understanding intelligent alerts in ITOps and alert management best practices

As an ITOps leader, you know managing enterprise IT can be challenging, with its mix of old and new, on-site and cloud-based systems. Closely monitoring each part of the system infrastructure and its many components is a constant struggle, forcing you and your team to juggle non-stop alerts and keep services up and running. How can you stop alert fatigue and gain clarity when alerts are incessant, unclear, and lack the necessary context? The answer lies in intelligent alerts.

Alerts Should Work for You, Not the Other Way Around

The entire reason we have monitoring is to understand what users are experiencing with an application. Full stop. If the user experience is impacted, sound the alarm and get people out of bed if necessary. All the other telemetry can be used to understand the details of the impact. But lower-level data points no longer have to be the trigger point for alerts.

Incident communication best practices for an elevated user experience

Downtime is unavoidable, and incidents happen. Organizations need to be rapid and transparent in communicating incidents with their customers. Lack of timely communication can jeopardize the entire incident management process and increase user frustration. This guide provides rich insights into what incident communication is, why it's important, and best practices for effective incident management. What is an incident, and why is incident communication important?

Dashboarding Azure Monitor SCOM MI in SquaredUp

Big news! Microsoft have just dropped Azure Monitor SCOM Managed Instance (SCOM MI), their cloud-based alternative to SCOM. It’s fully Microsoft managed, and so it promises to take the headache out of deploying, scaling, and managing your SCOM Management Groups. Read Microsoft’s announcement blog to learn all about it.

Live Render Log Monitoring with Papertrail

Cloud platforms like Render have made developers’ lives easier by handling many of the underlying infrastructure concerns. You can deploy web services, spin up databases, and schedule cron jobs without ever setting up a server manually. However, this convenience comes with a challenge: Accessing logs across these disparate services takes time and effort. To overcome this challenge, many developers centralize their logs with a log management service.

Deploy a Node app on AWS EC2 Linux

Amazon Web Services (AWS) provides a vast ecosystem of products that make DevOps an absolute dream. Products like AWS Elastic Beanstalk have ready-made services for autoscaling, deployment, and logging (to name a few). However, teams may prefer to take a barebones approach and build incrementally - in which case AWS Elastic Compute Cloud (EC2) would be the preferred option.

Icinga Monitoring is the trusted "source of truth" for Scandinavian company NTE

We are proud of our many customers and users around the globe that trust Icinga for critical IT infrastructure monitoring. That´s why we´re now showcasing some of these enterprises with their Success stories. It´s stories from companies or organizations just like yours, of any size and different kinds of industries. Some of them are our long-standing customers, others have just recently profited from migrating from another solution to Icinga.

From Data Deluge to Strategic Advantage: Cribl and Elastic Chart the Future of Flexible Data Management and Operationalization

In an era where industry standards are as dynamic as the data they govern, Cribl’s core value of putting ‘Customers First, Always’ drives us to stay ahead of the curve. It’s with immense pride and excitement that we announce our strategic partnership with Elastic. This alliance isn’t just a meeting of minds; it’s a bold stride towards a future where flexibility in data management isn’t just a luxury – it’s the standard.

The Challenges of Collecting Runtime Data

Collecting data in real-time plays a crucial role in securing, monitoring, and troubleshooting applications. This real-time data, often referred to as ‘runtime data,’ provides unique insights into the application’s behavior, which aren’t available through other collection techniques. But the tricky part is that collecting runtime data comes with challenges.