Operations | Monitoring | ITSM | DevOps | Cloud

Network visualization tools are software applications that allow users to represent, explore, and analyze network structures graphically. These networks can include computer and telecommunication infrastructure, as well as social, biological, and organizational networks. Visualization is achieved by displaying nodes (entities) and edges (relationships), making complex datasets easier to interpret and manage.

Your log format defines how your application records events. The structure you choose shapes how logs get parsed, indexed, and queried. It affects how quickly you can debug issues, build alerts, or control storage usage. In this guide, we'll take a look at the log formats developers typically use, the essential fields to include, and what trade-offs to consider before locking down a format for your system.

As you analyze your organization's cloud spending, you'll often find that stakeholders have different perceptions of what that spending brings you. This is especially true when overall costs are rising and it's hard to distinguish waste from valuable investments in growth. But when finance, engineering, and product teams can all connect cloud spending to specific business outcomes, you gain the ability to make data-driven decisions about how to maximize the value of that spending.

Modern infrastructure is built and deployed faster than ever, but increased speed can elevate risk. Developers who work on cloud-native applications often use infrastructure as code (IaC) to define cloud resources in configuration files, which are then shared across teams and deployed automatically. Although this approach is efficient, undetected misconfigurations in IaC can quickly introduce security risks into production environments.

Curious to see how AI actually performs in a real-world production scenario? Watch the webinar “AI-Driven Alert Triage and RCA” with Logz.io Customer Success Engineer, Seth King. Below, we also bring the main highlights of the webinar. AI claims to make engineers more efficient and agile, by shortening processes and surfacing insights that help drive decisions.

In the early days of any IT operation, pragmatism rules. Most network teams start with what’s readily available—custom scripts, Excel spreadsheets, shared network drives, and tribal knowledge. It’s cost-effective and familiar. But as your organization grows, so does the complexity of your network. Devices multiply, configurations diversify, and the operational risk of keeping everything “stitched together” with manual methods increases exponentially.

August 5, 2025, Las Vegas Black Hat 2025, Abnormal AI officially launched its Security Posture Management for Microsoft 365. This release marks a critical turning point. In an era where attackers weaponized AI to uncover and exploit misconfigured cloud environments at machine speed, reactive security simply can’t keep pace. Threat actors are now leveraging automated AI to scan systems, identify configuration drift, escalate privileges, and deploy zero‑day exploits in seconds.

The benefits of continuous delivery are well known these days: rapid feedback, speed of innovation, reduced fault recovery time, and increased confidence in release processes. Along the same lines, those who release less frequently are likely to encounter more stress. Continuous delivery is a spectrum; it doesn’t have to mean blasting every commit to all production environments at once. So, how do we strike a balance between speed and safety?

After making Session Replay GA for Mobile, the adoption rose quickly and more feedback reached us. In less great news, our Apple SDK users reported that the performance overhead of Session Replay on older iOS devices made their apps unusable. So we went on the journey to find the culprit and found a solution that yielded 4-5x better performance in our benchmarks.

Cloud platforms make it incredibly easy to store data. Object storage feels endless, and block volumes can be resized anytime. That’s great, until you check the cost. In some cases, like financial transactions, storage costs are tiny compared to the value of the data. But observability is a different story. Logs, traces, and profiles can be extremely detailed and often take up more space than the actual business data. Yes, there are situations where logs need to be kept for compliance reasons.