Operations | Monitoring | ITSM | DevOps | Cloud

Effective monitoring and optimization of an interdependent environment require a coordinated strategy. Through the integration of observability and digital experience monitoring (DEM) platforms, businesses can dismantle silos and obtain a real-time, comprehensive view of their whole digital infrastructure. This comprehensive strategy empowers enterprises to proactively handle problems and optimize the end-to-end digital experience, which also improves performance and risk management.

I was lucky enough to attend KubeCon Europe 2025 in London, where the energy around OpenTelemetry (OTel) reached fever pitch. From packed sessions to buzzing hallway conversations, it’s clear: OpenTelemetry isn’t just the future—it’s the present. Here’s what stole the spotlight.

The 2025 Gartner Market Guide for Event Intelligence Solutions arrives at a critical time for organizations facing increasing complexity in managing IT events. Today’s diverse, distributed IT environments create significant operational challenges – alert fatigue, fragmented tools, and slow incident response – impacting both efficiency and customer experiences.

Modern code profilers gather performance data that is highly useful for developers, but the traditional presentation of that data can be challenging to interpret for engineers who are new to profiling. For the Continuous Profiler team at Datadog, our guiding mission is to make profiling a standard practice for all developers by flattening its learning curve and helping teams quickly gain insights into application performance.

Aiven offers a seamless multi-service cross-cloud experience. When optimizing your infrastructure performance, understanding how services performance can change across clouds can help differentiate your business. This blog details the benchmarking of how PostgreSQL performs on each of our cloud offerings: AWS, GCP, OCI, and Azure.

Blind spots in frontend monitoring can occur when you’re managing complex modern applications. Browser and device variability, user journeys with intricate workflows and multiple touchpoints, and ephemeral frontend components can all create visibility gaps that make it difficult to identify, understand, and resolve the issues impacting user experience.

Development teams managing Kubernetes-based applications face challenges in maintaining visibility and control over their deployment processes. Without a centralized interface, teams struggle to track, monitor, and manage releases across their Kubernetes clusters, leading to potential deployment errors, and difficulties in maintaining consistent deployment workflows.

In the AI world, there’s a lot of buzz about creating custom large language models (LLMs) tailored for specific domains, perhaps for better security, context, expertise, or accuracy. It’s an appealing idea: What better way to solve your niche challenges than with a bespoke AI designed just for you? But here’s the thing — building a great LLM isn’t just challenging; it’s prohibitively expensive and resource-intensive.

When an app breaks and there's no clear clue why, debug logs often hold the answers. They record what the code was doing at each step, making it easier to trace back and spot what went wrong. This guide covers what debug logging is, why it’s useful, and how to use it without turning logs into a wall of noise.

Deciding between on-premise vs. cloud solutions is one of the biggest IT infrastructure choices businesses face today. Both options come with their own advantages and trade-offs. The right choice depends on your company’s needs, resources, and long-term growth plans. In this guide, we’ll break down the key differences between on-premise and cloud-based network management, covering factors like cost, security, scalability, and ongoing management.