TryDirect blog

Why FinOps is Going Autonomous in 2026

Is your cloud budget burning through cash while your engineers ignore Jira tickets? Just a few years ago, a pretty Grafana dashboard was the "gold standard" for cloud maturity. Today, in the era of skyrocketing AI GPU costs and ephemeral Kubernetes clusters, visibility is no longer enough. If your FinOps strategy relies on a human to manually "right-size" an instance, you’ve already lost the game.

What’s inside this deep dive:

• The "Read-Only" Trap: Why traditional FinOps creates alert fatigue instead of actual savings.
• The 3 Pillars of Autonomy: How eBPF-driven right-sizing and ML-powered Spot arbitrage are replacing manual intervention.
• The 2026 Shift: Moving from "Finance vs. Engineering" to a "Read-Write" infrastructure that fixes waste in real-time.

Stop managing spreadsheets and start managing algorithms. Discover how top tech hubs are reclaiming their budgets by making cloud economics invisible, automated, and absolute.

EU carbon taxes and CSRD reporting make green coding mandatory. Discover how to slash cloud costs 50% while meeting sustainability regulations through efficient languages, ARM architecture, and carbon-aware infrastructure.

Git no longer stops at source code. For many engineering teams, it has quietly become the place where deployment decisions, infrastructure changes, and production state are defined and understood. This article explores how teams actually arrive at GitOps—not as a formal strategy, but as a natural response to growing systems, faster releases, and increasing operational risk. It looks at why infrastructure often loses clarity over time, how Git becomes a reliable source of truth, and how mature teams use GitOps today without unnecessary ceremony. The focus is practical: predictability, transparency, and deployments that can be explained, reproduced, and rolled back with confidence.

Modern development moves fast, and choosing the right CI/CD tool can either accelerate your workflow or quietly slow everything down. Jenkins, GitLab CI, and GitHub Actions dominate the CI/CD landscape, but they solve the same problem in very different ways.

In this article, we break down how each tool handles setup, pipelines, scalability, security, costs, and real-world DevOps workflows. You will see where Jenkins still shines with deep customization, why GitHub Actions feels effortless for GitHub-based teams, and how GitLab CI stands out as a fully integrated DevOps platform.

The goal is simple: help you choose a CI/CD solution that matches how your team works today and how it will grow tomorrow without unnecessary complexity or hidden trade-offs.

In 2025, no-code and low-code platforms are transforming how digital products are built. Startups and small teams can turn ideas into apps quickly and affordably without writing code. These tools enable faster testing, easier iterations, and more focus on user experience, letting founders innovate, launch, and scale products efficiently while skipping complex development and infrastructure challenges

How to Automatically Deploy N8N with PostgreSQL to Your Cloud Account Using Stack Builder. The quickest method to deploy and play with n8n on your VPS.

Here’s an enhanced overview of the best static site generators with examples and a comparison based on features like speed, ease of use, and scalability.

When it comes to building web applications and APIs in Python, two of the most popular frameworks are Flask and FastAPI. Both have their strengths and are widely used in the Python community, but the question of which is "better" depends on the context of your project, the requirements, and your development preferences. Below, we’ll compare FastAPI and Flask across several key areas to help you determine which might be the better fit for your needs.

Yes, a Docker container can run multiple applications, but it's generally not recommended. Docker containers are designed to be lightweight and focused on a single responsibility, often referred to as the "one process per container" principle. This approach makes containers easier to manage, scale, and troubleshoot. However, there are scenarios where running multiple applications in a single container might be necessary or convenient, such as legacy systems or tightly coupled services.

WebAssembly (WASM) and Docker containers are two powerful technologies that have gained significant traction in the software development and deployment world. Both offer unique advantages, but they serve different purposes and have different use cases. This comparison will explore the key differences between WASM and Docker containers, providing examples to illustrate when and why you might choose one over the other.

Docker has been a game-changer in the world of software development and deployment since its inception. As containerization has become a standard practice, many developers and organizations rely on Docker to streamline their workflows. But as technology continues to evolve, a common question arises: Is Docker still relevant today? The answer is a resounding yes, and here’s why.

Docker Compose is a powerful tool that allows you to define and manage multi-container Docker applications using simple configuration files. While the command-line interface (CLI) for Docker Compose is efficient, many users prefer a graphical interface for easier management and visualization of their containers. This is where Web UIs for Docker Compose come into play, providing a more intuitive and accessible way to manage Docker environments.

Below, we'll explore some popular Web UIs for Docker Compose and provide examples of how they can be used to streamline container management.