Operations | Monitoring | ITSM | DevOps | Cloud

Imagine you're developing an application on your laptop. It runs perfectly, but when you deploy it on a server, things break—dependency mismatches, configuration issues, and endless debugging. Docker eliminates these problems by packaging applications and their dependencies into portable, lightweight containers. This ensures that applications run consistently across different environments, whether it's a developer’s laptop, a testing server, or a cloud platform.

At Obkio, we believe in using our resources to give back to organizations that make the world a better place. That’s why we launched our NPO Plan—a program designed to help non-profits access advanced Network Performance Monitoring at a significantly reduced cost. By offering our services to non-profits at a fraction of the price, we help them to focus on what matters most—supporting their missions, rather than worrying about IT costs.

Aerospike is a high-performance, real-time NoSQL database built for speed, scale, and low-latency transactions—think millions of reads/writes per second without breaking a sweat. When you're dealing with high-throughput applications, keeping an eye on Aerospike’s performance isn't just a good idea—it's mission-critical to avoid bottlenecks, connection issues, or unexpected slowdowns.

Today, we’re thrilled to share the latest updates on VictoriaLogs, your trusted open-source solution for efficient and user-friendly log management. Whether you’re just discovering VictoriaLogs or have been using it for a while, this post will walk you through the recent enhancements and give you a sneak peek at the much anticipated cluster version that’s on the horizon.

OpenTelemetry is the go-to open-source standard for observability, but when it comes to tracking frontend performance and user interactions, things get a little tricky. Unlike backend services, browsers introduce challenges like CORS restrictions, asynchronous execution, and limited access to certain telemetry data. This guide covers everything you need to know about using OpenTelemetry in the browser, from setup to best practices, advanced configurations, and real-world debugging techniques.

Enterprises across industry verticals are looking for new ways to increase the efficacy of their businesses. One way to do this is building an efficient pipeline of processes, employees, devices, and services that are all tightly integrated to get the best return on investment. However, this requires an efficient telecommunication system where industry machines, personnel, and business services use continuous, performant, and reliable communications to work together.

As data continues to grow exponentially, businesses need powerful tools to search, analyze, and visualize their data efficiently. OpenSearch has emerged as a top choice for organizations seeking an open-source, scalable search and analytics engine. However, managing OpenSearch in-house can be complex, costly, and resource-intensive. That’s where hosted OpenSearch comes in.

Observability is essential for understanding how modern applications perform and behave in production. OpenTelemetry has emerged as the industry standard for collecting, processing, and exporting telemetry data—traces, metrics, and logs—without vendor lock-in. This guide will walk you through OpenTelemetry’s core components, how it works, and why it’s a game-changer for observability.

Managing cloud infrastructure is challenging enough without adding the burden of deploying and maintaining monitoring agents. What if there was a simpler, more efficient way to monitor your virtual machines (VMs)? In the first part of this series, we looked at the (link) and presented a better solution: agentless monitoring. Agentless monitoring is an efficient approach to observability that eliminates the need to install and manage software agents on each monitored device.

Imagine discovering that 40% of your cloud infrastructure went unmonitored for a week because monitoring agents failed to deploy during an auto-scaling event. This scenario isn’t just hypothetical—it’s a growing reality for organizations relying on traditional agent-based monitoring in dynamic cloud environments.