Operations | Monitoring | ITSM | DevOps | Cloud

Don’t default to microservices: You’ll thank us later! Donald Knuth, professor emeritus at Stanford University and “father” of algorithm analysis, once said – now quite famously – that “Premature optimization is the root of all evil.” It’s one of those sayings that all engineers know, most understand, and many struggle to follow through on consistently. What Knuth misses in this pithy, memorable quote is the fact that evil is tempting.

When your distributed database architecture scales to handle massive workloads, keeping tabs on everything becomes critical and complex. With its masterless architecture and linear scalability, Apache Cassandra powers mission-critical applications across industries—but without proper monitoring, you might as well be flying blind through a storm.

In today’s fast-paced IT landscape, efficient application performance monitoring is essential. IT teams need real-time insights, interactive data visualization, and a seamless user experience to detect and resolve issues swiftly. With the latest enhancements to ManageEngine Applications Manager’s dashboard, monitoring is now smarter, faster, and more intuitive than ever before.

Modern apps are built by many teams, each owning a different set of services: APIs, background jobs, databases, platform components, and more. As the system grows, it gets harder for each team to focus on what actually matters to them.When everything is mixed together, dashboards get messy, service maps are too large to be useful, and alerts end up reaching the wrong people. Instead of helping, your observability stack turns into a distraction. It has lots of data, but no clear context.

Picture this: Your phone rings in the middle of the night. It’s your engineering lead, calling to inform you of a significant outage affecting your customer-facing services. As your network operations team jumps into action, they’re greeted with chaos. Over 40 alerts flood their screens simultaneously. Your network, infrastructure monitoring, and application performance monitoring tools all fire independently, each with its own dashboard and presenting data in incompatible formats.

Curious how time series forecasting fits into your InfluxDB 3 workflows? Let’s build a complete forecasting pipeline together using InfluxDB 3 Core’s Python Processing Engine and Facebook’s Prophet library. InfluxDB 3 Core’s Python Processing Engine dramatically lowers the barrier to entry—not just for experienced developers but for anyone with a basic understanding of time series data and Python.

In today’s interconnected world, remote support solutions are essential for businesses and IT teams to assist users effectively. Among these solutions, RemotePC and SolarWinds Dameware are leading tools offering attended access capabilities. However, choosing the right tool requires thoroughly understanding its unique features, advantages, and ideal use cases. This article provides an in-depth comparison of RemotePC attended access and Dameware attended access.

We’re thrilled to share that Mezmo has been recognized by G2 with 25 badges across four key categories: Enterprise Monitoring, Log Monitoring, Log Analysis, and Cloud Infrastructure Monitoring. These awards are more than just a celebration of our platform—they’re a reflection of you, our customers. Your feedback, support, and insights push us to build better solutions and deliver the highest standards of performance and service.