Operations | Monitoring | ITSM | DevOps | Cloud

Building a B2B Commerce Ecosystem for the Modern Buyer

The good news: this is no longer the case with our new “How to Buy” experience!. The case is clear: B2B buyers want the same seamless online shopping, research and purchasing experience they enjoy as consumers. They expect that process to be easy, smart and empowering. Business buyers are also banking on features and functionality that are tailored for them, especially in the small-and-medium business (SMB) segment.

Introducing Server Nicknames

This past week we released the simple yet widely requested feature Server Nicknames, the ability to easily track and manage various servers with unique custom names. At first glance this may seem like a non update but not when you consider that most Cycle users are connecting many servers from multiple providers and locations in the cloud and on premises. With long default server names, this is a huge quality of life improvement.

Strangler pattern implementation for safe microservices transition

Moving from monolithic applications to microservices represents a significant architectural transformation. The Strangler Pattern offers a controlled, incremental approach to this migration, enabling organizations to gradually replace functionality while keeping systems operational throughout the transition. This methodology substantially reduces risk compared to complete rewrites, making it an invaluable strategy for organizations with business-critical applications.

Measuring success in microservices migration projects

Microservices migrations represent significant investments for organizations seeking greater agility, scalability, and development velocity. Yet without clear metrics to guide the journey and measure outcomes, these initiatives risk delivering technical change without meaningful business impact. Establishing appropriate success measures ensures that migration efforts stay aligned with organizational goals while providing visibility into progress and value delivery.

12 OpenTelemetry-Compatible Platforms You Should Know in 2025

OpenTelemetry has transformed how engineering teams implement observability. This vendor-neutral framework for collecting metrics, traces, and logs has become indispensable for several reasons: Elimination of vendor lock-in Organizations can switch observability providers without changing instrumentation code, enabling greater flexibility and negotiating power with vendors.

Is OpenTelemetry ready for Infra Monitoring?

“A system is never the sum of its parts; it's the product of their interaction.” — Russell Ackoff, Systems Thinker Infrastructure monitoring is an attempt to capture and record the product of interactions between various systems. Infrastructure monitoring comes across as challenging and tedious, often spread across multiple tooling system.

April 2025 Update - Fully Redesigned Signl-Center, Shift Tiers with Escalations, AI Shift and Duty Scheduling, and a new Chat View for the Mobile App

With our latest April update, we are setting a new benchmark in incident management excellence. The Signl-Center in our web portal has undergone a major redesign, delivering a superior, more intuitive layout, enhanced tracking of notifications and escalation workflows, and an upgraded incident chat — redefining how operations and maintenance teams coordinate under pressure.

Agentic AI in DevOps: Why Aiden Beats ChatGPT for DevOps Cost Analysis

One of the most common questions we receive is about the difference between Aiden (our DevOps Copilot) and general-purpose AI tools like ChatGPT. The key distinction is that Aiden is an agentic AI platform that can directly connect to your DevOps tools and environments, while ChatGPT remains generic without real-world connections. This fundamental difference transforms Aiden from an advisor to an active participant in your DevOps workflows.

AI and the Data Value Challenge: Why It's Time to Rewrite the Rules of Data Management

Like the sailor in Coleridge’s “The Rime of the Ancient Mariner,” surrounded by ocean water that he cannot drink, modern organizations contend with similar challenges: data is all around, but it’s not doing them much good (or as much as it could at least). Exploding data volumes have complicated the data management strategies for security and observability teams seeking to contain costs while meeting regulatory and compliance obligations.