Operations | Monitoring | ITSM | DevOps | Cloud

Shipping application code, especially for LLM-based applications, can be a stressful and complex task. These applications demand intricate model management, careful resource allocation, and manual handling of dependency conflicts. Traditionally, preparing such applications for deployment involves integration tests, containerization, and updating image registries: all time-consuming manual steps. This is where an automated CI pipeline becomes invaluable.

In G2’s Winter 2026 reports, Auvik earned top recognition as a leader in network management tools across small-business, mid-market, and enterprise categories. IT professionals rated Auvik highly for implementation, usability, results, relationship, and overall Grid® performance, reflecting one thing above all: real-world trust from the IT professionals who use Auvik every day.

IT operations have outgrown the model they were built on. Enterprises now monitor tens of thousands of metrics, ingest terabytes of logs, and generate thousands of alerts daily, all while managing increasingly complex infrastructures that span on-prem data centers, multiple cloud environments, and emerging AI workloads. Yet despite all this telemetry, too many teams still learn about outages from customers before they see them in their tools.

As application systems grow more complex, it becomes ever more important to understand how services interact across distributed systems. Observability sheds light on the behavior of instrumented applications and the infrastructure they run on. This enables engineering teams to gain better track system health and prevent critical failures. OpenTelemetry (OTel) has standardized how we generate and transmit telemetry, and the OpenTelemetry Collector is the engine that processes and export this data.

Harness FME continues its investment in OpenFeature, building on our early support and adoption of the CNCF standard since 2022. Evaluate flags consistently across languages and environments, and integrate them seamlessly into your applications without modifying your code. Feature flags are table stakes for modern software development. They allow teams to ship features safely, test new functionality, and iterate quickly, all without re-deploying their applications.

Slash Kubernetes provisioning time from days to minutes. Discover how Qovery’s self-service ephemeral environments automate infrastructure, eliminate bottlenecks, and accelerate developer velocity.

Modern SaaS companies aren’t reporting weaker margins because they forgot to rightsize instances or buy reservations. It’s more because cloud spend now moves at the speed of AI experiments, overnight shifts in customer usage, and automated systems that scale in seconds. That’s why the next generation of cloud cost optimization strategies looks fundamentally different from what worked even two years ago.

Happy New Year, everyone! 2025 was another exciting year filled with impressive AI advancements. As you might expect, some significant cost changes accompanied these new developments. Because reflecting on the past is one of the best ways to prepare for an even stronger future, here’s your end-of-2025 headline round-up, complete with what you can expect going forward into 2026: Get caught up on the details below.