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Running a startup is like navigating uncharted waters. You’re building something new, solving problems, and moving fast. But what about the tech side? Do you need a Chief Technology Officer (CTO) from day one? If you’re not sure, you’re not alone. Many early-stage startups wrestle with this decision—especially when hiring a full-time CTO isn’t feasible.
A Fractional CTO is an experienced technology leader who works with your team part-time. Unlike a consultant, they’re hands-on, helping you make critical technical decisions, guide product development, and build the right team—all without the commitment of a full-time hire.
At TLVTech, we’ve helped countless startups move from idea to product launch — and beyond. Our experienced Fractional CTOs jump right in, helping you make smarter decisions, avoid costly mistakes, and get your product to market faster.
Whether you’re building an MVP, scaling your team, or preparing to raise funds, we’ve got your back.
In this blog post, we delve into the concept of 'engineering at the right gear.' We explore how startups can effectively manage their technology and development needs at various stages of growth. We will discuss different tools and strategies that can support this 'gear shifting' process, ensuring a smoother transition from one stage to the next, leading to a path of sustainable growth and success. So let’s review the growing stages of startup companies.
Automation in software development boosts efficiency with tools like Jenkins, Docker, and Selenium, streamlining tasks like coding, testing, and deployment.
- AWS Redshift is a data warehousing service from Amazon Web Services, designed for real-time analysis of large data volumes. - It works by storing data across different compute nodes, creating a high-speed, low-latency network for efficient data exploration. - Data is stored in clusters (groups of databases). Redshift's core functionalities include ETL and integration with most BI tools. - Benefits include scalability, speedy complex queries, and cost-saving. It is valuable for industries like media and healthcare. - Redshift's pay-as-you-go pricing model has two components: node hours and data transfer with costs related to Dense Compute and Dense Storage nodes. - Compared to other platforms, Redshift is superior in scale and performance operations. Redshift is better for complex high-volume analytics, while Athena is suited for simplicity. - To start with Redshift, sign up for an account, select Redshift, follow the setup guide to launch a cluster, load your data, query it, tune when necessary, and manage costs. - Redshift Spectrum is an AWS feature that allows big data manipulation directly from an S3 bucket. It enables data access without loading it into Redshift.
