Operations | Monitoring | ITSM | DevOps | Cloud

Introducing the BigPanda observability and monitoring tool rationalization framework

When enterprises run dozens of monitoring and observability tools, performance gaps almost always emerge. By applying the BigPanda Observability Scorecard, our customers consistently see their tool portfolio fall into three groups: In some cases, removing bottom-tier tools can reduce portfolio complexity by double digits while cutting operational noise by as much as 35-40%. This simplification reduces costs while creating a leaner, more reliable monitoring environment that strengthens service availability and operational efficiency.

Why Organizations Choose Cycle for AI

The race on AI is heating up; the next generation of vibe coders and prompt engineers are entering the job market as we speak, and AI is the hottest line item on most IT budgets this year. Building the next great home automation software or adaptive learning platform with cutting-edge machine learning is great and all, but like all great software, it needs to start with the plumbing.

Security vs. ops: the two sides of reliability

Security and ops work together to keep your systems reliable, but why do we treat them so differently? Reliability results start when you proactively take charge of your infrastructure and application risks. Transcript: When we talk about reliability in the software space and the digital operations space, you really end up falling into these two different mindsets.

Introducing the UptimeRobot v3 API

As you may have noticed, we released the latest version of the UptimeRobot API a few weeks ago. Don’t worry, the v2 will remain available; however, it will no longer receive support or updates. New features will be added only to v3. Built on a RESTful architecture, v3 unlocks more flexibility, cleaner workflows, and expanded capabilities for developers who want tighter control over their monitoring. Below, we’ll highlight what’s new and how it compares to the legacy v2 API.

Learn to mock your MySQL database and get realistic test data without the hassle of a live server!

Proxymock allows you to record real interactions between your application and a MySQL database. Use proxymock to simulate your database during local development and testing. Get real data without running a live MySQL server. Modify mock responses to fit your testing needs. Simplify your testing workflow and replicate production data easily.

Session Replay: Becoming your own digital secret shopper

Retail stores have long relied on a secret weapon to measure and improve the shopping experience: the secret shopper. Posing as ordinary customers, they evaluate the customer experience, spotting friction points like hard-to-find items, gauging the quality of customer service, and testing how seamless the checkout process feels.

Grafana 12.2 release: LLM-powered SQL expressions, updates to canvas and table visualizations, simplified reporting, and more

Grafana 12.2 has arrived, delivering new features to help you and your team move from data to decisions faster than ever. Grafana 12.2: Download now! Below are just some of the highlights from the latest Grafana release.

Build a versatile query agent with RAG, LlamaIndex, and Google Gemini

As a developer, you often face the challenge of retrieving information from multiple sources with different structures. What if you could create a single interface that automatically routes queries to the right data source? Imagine your application needing to answer both “What’s the population of California?” and “What are popular attractions in Hawaii?”.

Create New Alert Rules Without PromQL Queries in Grafana 12.2 | Metrics Drilldown

Grafana 12.2 makes alert creation simpler by integrating the Metrics Drilldown app with the Alert Rule Query Editor. Instead of writing PromQL from scratch, you can now use a queryless workflow: explore metrics, add labels, and generate queries directly from Drilldown. This helps teams move faster and makes alerting more accessible for those new to PromQL.