Operations | Monitoring | ITSM | DevOps | Cloud

Why Your APM Needs Observability - Metrics, Logs, and Traces Explained

Modern software applications are increasingly complex. Microservices, cloud infrastructure, and distributed architectures make it challenging for developers, DevOps engineers, and SREs to maintain high performance and a seamless user experience. Traditional Application Performance Monitoring (APM) provides critical insights into how applications perform, but alone, it often leaves blind spots when it comes to diagnosing issues or understanding the full system behavior.

OpenTelemetry Spans Explained: Deconstructing Distributed Tracing

In a microservices architecture, a single user request can pass through multiple services before completing. When performance drops or an error occurs, tracing that journey is the only way to locate the source. Distributed tracing provides that visibility. At its core are OpenTelemetry Spans — units of work that capture what each service does during a request.

How to Use the Power BI Desktop InfluxDB 3 ODBC Connector

The challenge of storing, processing, and alerting on your time series data is only part of the battle when it comes to deriving value from time-stamped data. While InfluxDB 3 addresses those hurdles with the database and Python processing engine, data analytics teams still need to be able to visualize their data and build dashboards to complete the time series story.

The Power of JFrog Artifactory as Your Model Registry

In my previous blog, we demonstrated how the FrogML SDK streamlines the process of integrating custom-built or publicly sourced models from your IDE into JFrog Artifactory. Now that your models are securely stored, versioned, and managed, the natural next question arises: “Ok, so you have some models in JFrog Artifactory, now what?” This is where the real power of the JFrog Platform comes into play.

What is AIOps and What Happens When IT Runs Itself?

The scale of modern IT is outpacing human capacity. Microservices, multi-cloud deployments, and the Internet of Things (IoT) have created a complex IT ecosystem, generating an exponential volume of operational data. Traditional operations teams, regardless of their skill, struggle to keep up. Because of this, forward-looking leaders are adopting AIOps in IT, not as an upgrade, but as a foundational shift.

Why Choose an Inventory Management Software with a Mobile App and Barcodes?

Inventory management is at the heart of every organization’s operations. Yet many companies still rely on Excel files or manual processes to track their equipment, tools, or materials. These outdated methods often lead to errors, losses, and a lack of visibility. Today, inventory management software with a mobile app and barcode system allows you to centralize and automate asset management while making operations faster and more reliable.

DNS Outages Expose Hidden Risks. Edwin AI Finds Them Faster.

The recent AWS outage exposed how fragile the internet remains. Amazon traced the hours-long disruption to a DNS error—a small failure with massive reach. For most organizations, DNS operates quietly in the background. When it fails, every digital service connected to it stops. One of LogicMonitor’s valued customers, IG Group, faced a similar event less than ten hours after enabling Edwin AI.

Inside Ethereum's Longest Exit Queue

Ethereum appears to be experiencing a major pull-out of validators following the Shapella upgrade. Roughly 2.4 million ETH - about $9.2 billion at the current Ethereum price - sit in the exit queue, according to recent analysis, with wait times potentially stretching beyond 41 days. Such delays could result in additional pressure on the network's validator ecosystem.

DevOps & Observability for Digital Catalogs: faster releases, fewer outages

Digital catalogs have become a core sales engine, not just a glossy PDF on a server. They power discovery, merchandising, and conversion across web and mobile experiences. When a catalog powers real revenue, the way you build and run it starts to look a lot like modern software delivery. That's where DevOps and observability enter the picture: practices that shorten release cycles, reduce risk, and keep customer experiences fast and available even on your biggest traffic days.