Tidal Accelerator has recently made its powerful Business Analytics feature generally available across all existing and new workspaces, as discussed in our previous article. This game-changing capability empowers organizations to make data-driven decisions throughout their migration and modernization journeys. In this article, we’ll dive deeper into four key areas where Tidal Accelerator’s advanced analytics provide invaluable insights.

As businesses increasingly move their workloads to the cloud, managing cloud costs has become a critical concern. At Tidal.Cloud, with the roll-out of new features such as Tidal Accelerator’s Business Analytics, we recently realized that our AWS costs were steadily increasing, and we needed to take action to optimize our cloud spending.

Amazon CloudWatch Logs enables you to centralize the logs from different AWS services, logs from your applications running in AWS and on-prem servers, using a single highly scalable service. You can then easily view these logs data, search them for specific error codes or patterns, filter them based on specific fields, or archive them securely for future analysis.

Our Cloud Cost platform just got some practical upgrades to help you manage cloud costs better and boost your operational efficiency. Curious about the new features? Let’s jump right in! Forecast in ChatGPT Interacting with cloud cost data just got easier and smarter. Ask any cost-related question using natural language, and let CostGPT do the rest. It instantly delivers insightful visualizations and forecasts of your cloud costs.

We’re excited to share some thrilling news with our community! Turbo360 has forged a powerful partnership with Contica AB, a leading integration specialist team in Sweden operating on the Microsoft platform since 2010. Comprising a cadre of specialists ranging from security experts to system architects, developers, project managers, integrators, and testers, Contica AB is committed to delivering tangible value through their expertise.

In our previous post, we discussed how to generate Images using Stable Diffusion on AWS. In this post, we will guide you through running LLMs for text generation in your own environment with a GPU-based instance in simple steps, empowering you to create your own solutions. Text generation, a trending focus in generative AI, facilitates a broad spectrum of language tasks beyond simple question answering.

Telecommunications companies (telcos) are well on their way to transforming their infrastructure from the legacy, unadaptable, complex network of dedicated hardware from yesteryears to agile, modular and scalable software-defined systems running on common off-the-shelf (COTS) servers. Within this space, the current trend, driven by 5G deployments, is to complement tried and tested network function virtualisation (NFV) infrastructure with cloud-native network functions (CNFs).

We get it. FinOps can be challenging to understand, implement, and optimize, whether you’ve done it before or are just getting started. Everybody needs help from time to time. If this describes you right now, then check out the following FinOps services companies to get started. But first, a quick background.