Operations | Monitoring | ITSM | DevOps | Cloud

In today’s threat landscape, cyber incidents unfold in seconds, not days. Federal agencies and critical infrastructure operators no longer have the luxury of slow detection or manual triage. As Zero Trust Architecture (ZTA) becomes the new security standard, one principle stands above all: time is risk. The faster an organization can detect, diagnose, and respond to anomalous activity, the greater its resilience. ScienceLogic plays a critical role in making that speed possible.

I’ve curated a list of 9 best incident response tools, plus 4 open-source options for you. But first, a quick note: Many people mix up alerting, monitoring, and incident response. Incident response is what you do after receiving an alert. It includes alert acknowledgment, escalations, incident communication, post-incident analysis, and response automation. Yes, some of these (incident communication and post-incident analysis) overlap with incident management.

In large-scale AI model training, network performance is no longer a supporting actor — it’s center stage. Job Completion Time (JCT), the key metric for measuring training efficiency, is heavily influenced by the network interconnecting thousands of GPUs. In this post, learn why JCT matters, how microbursts and GPU synchronization delays inflate it, and how platforms like Kentik give network engineers the visibility and intelligence they need to keep training jobs on schedule.

A loss in infrastructure and applications observability can leave SRE and DevOps teams without insight into the real-time state of their production systems, causing them to temporarily pause code deployments and limit their ability to troubleshoot issues or respond to critical alerts. In modern cloud environments, where services are distributed and deeply interconnected, this lack of visibility can escalate quickly.

In Kubernetes environments, applications often communicate with the Datadog Agent to send telemetry data such as custom metrics via DogStatsD or traces through Datadog APM. How this communication takes place depends on the communication mode set on the Datadog Cluster Agent's Admission Controller. With the sockets option, communication takes place through local inter-process communication via Unix domain sockets (UDS), whereas the service and default hostip options rely on network communication.

We're thrilled to announce a significant leap forward in making Elastic Cloud Serverless even more accessible and powerful for Azure users. With the general availability (GA) of Elastic Cloud Serverless on Azure, we've just released the Azure native integration for Elastic Cloud Serverless. This builds upon our existing Azure native integration for Elastic Cloud Hosted, allowing users to seamlessly discover and manage Elastic Cloud in a way that feels inherently part of the Azure ecosystem.

Ask any SRE what slows them down in a Kubernetes incident, and the answer is usually too much information in too many different places. Kubernetes has changed the way we run software. It’s given us incredible flexibility, scalability, and power. But in the years I’ve worked in cloud operations and platform engineering, I’ve also seen how that power comes at a price: complexity.

If you’re here, you likely already know about preemption, determinism, and real-time capable operating systems. If that’s the case, and you want to learn how to get up and running with Real-time Ubuntu, skip ahead now to find out how to enable the kernel on your workstation.

Since announcing changes to our OSS plans as well as introducing the new licensing starting with PDK 3.5.0, the team has received questions from the community around how the changes will affect them. In this article, we’ll highlight some helpful resources about how you can develop and contribute to modules on the Forge and ensure compatibility with Puppet Core and Puppet Enterprise.

An incident response playbook is your team's emergency manual when things go wrong. It's a documented set of procedures that guides your team through detecting, responding to, and resolving incidents efficiently. Without one, teams often scramble during outages, make inconsistent decisions, and take longer to restore service.