Operations | Monitoring | ITSM | DevOps | Cloud

Marathon 41mm GSAR Type II Diver's Automatic: Built for Depth, Refined for Everyday

In an era where watches are often reduced to fashion statements or lifestyle accessories, a few timepieces still embody the philosophy of purpose-first design. One such watch is the Marathon 41mm GSAR Type II Diver's Automatic - a tool built not only to survive but to excel in the world's harshest environments. While limited editions like the Marathon Blue Yonder model garner attention for their fresh visual appeal, the foundation of Marathon's legacy lies in watches like the GSAR Type II: rugged, reliable, and forged in the service of professionals.

Future-Proof Your MariaDB-Based Services

We’re excited to announce the release of the NiCE MariaDB on Linux Management Pack, designed to deliver advanced monitoring and performance insights for organizations running MariaDB on Linux infrastructure. As MariaDB continues to power business-critical applications across industries, visibility into its performance, availability, and health becomes essential.

Synthetic Testing Examples: User Flow Testing, APIs Validation, Custom Metrics, Log Ingestion, and More

Starting from scratch with synthetic testing of your web properties and APIs can be difficult. Questions like “what should we be testing?” will very quickly become exercises in figuring out “how can we actually do that?” which may involve sifting through various elements of the DOM or JSON responses. But there are shortcuts to synthetic testing mastery!

SOC 2 Type 1 Compliance: Netdata is committed to Security and Trust

We are pleased to announce that Netdata has successfully achieved SOC 2 Type 1 attestation! Following an independent examination performed by AssuranceLab CPAs LLC, the report confirms that—as of April 25, 2025—the design of Netdata’s controls meets the Security, Availability, and Confidentiality Trust Services Criteria defined by the AICPA. At Netdata, the security and integrity of the monitoring data our users entrust to us are paramount.

See Your Codebase Like Never Before: GitLens 17.1 Revolutionizes Repository Visualization

TL;DR: This release transforms repo, folder, and file exploration with a fully reimagined Visual History, introduces powerful AI explanations for branches and changes, expands enterprise AI provider support, and delivers blazing performance on large repos helping you untangle codebase complexity faster than ever.

Create a status page for your production service in 5 minutes

“When are we going to tell users about this?” By the time your incident response team, it’s already too late. During an outage, communicating about downtime with your user base has three main drawbacks: Instead, it’s better to create a status page that automatically shares the status of all your services in a format that users can easily understand. You’ll build trust with your users as you proactively share service status, lessening the perceived impact of incidents.

Transforming Observability: Simpler, Smarter, and More Affordable Data Control

At Mezmo, we’ve always believed that observability should empower innovation, not hold it back with complexity and unpredictable costs. However, as organizations scale and data volumes continue to explode, the old ways of managing telemetry data aren’t sustainable.

Database monitoring in Financial Services: why this high-stakes sector requires a scalable, more comprehensive solution

IT and data teams in Financial Services must meet the more exacting demands for data integrity, compliance, performance, high availability and security that are expected in the sector. These demands require a dedicated, comprehensive, and scalable monitoring solution to help teams succeed in this high stakes environment.

Auto Scaling of Kubernetes Workloads Using Custom Application Metrics

Orchestration platforms such as Kubernetes and OpenShift help customers reduce costs by enabling on-demand, scalable compute resources. Customers can manually scale out and scale in their Kubernetes compute resources as needed. Autoscaling is the process of automatically adjusting compute resources to meet a system's performance requirements. As workloads grow, systems require additional resources to sustain performance and handle increasing demand.