As a business owner, it’s essential to maximize workplace efficiency. DevOps is a methodology that unites various departments to achieve business goals swiftly. Maintaining a DevOps loop is essential for the health and upkeep of deployed applications.
Generative AI redefines how we view many mandatory but tedious tasks. It can be applied to not only content generation, but also application development. Here are some examples of how the finance industry can make use of it.
Clients frequently approach us with AI projects. This typically leads to discussions about the idiosyncrasies of Large Language Models (LLM), prompt engineering, parameter-efficient fine-tuning, and reinforcement learning from human feedback. Usually, the conversation leads to Retrieval-Augmented Generation.
Modern software development requires continuous maintenance over the course of its operational lifespan in the form of continuous integration (CI) and continuous deployment (CD). It is tedious work, but helps developers worry less about critical breakdowns. Automating this cycle provides an easier means by which rollbacks can occur in the case of a bad update while providing additional benefits such as security and compliance functionality.
Spending for public cloud usage continues to climb with every year. In 2023, nearly $600 billion was spent world-wide with a third of that being taken up by SaaS. By comparison, Infrastructure as a Service only takes up $150 billion and Platform as a Service makes up $139 billion. On average, companies use roughly 315 individual SaaS applications for their operations and are gradually increasing on a yearly basis. SaaS offers a level of cost efficiency that makes it an appealing option for consuming software.
AWS launched its new batch of Arm-based processors in 2018 with AWS Graviton. It is a series of server processors designed for Amazon EC2 virtual machines. The EC2 AI instances support web servers, caching fleets, distributed data centers, and containerized microservices. Arm architecture is gradually being rolled out to handle enterprise-grade utilities at scale. Graviton instances are popular for handling intense workloads in the cloud.
Tiered Pricing is a method used by many companies with subscription models. SaaS companies typically offer tiered pricing plans with different services and benefits at each price point with typically increasing benefits the more a customer pays. Striking a balance between what good rates are and the price can be difficult at times.
Cloud environments and their pricing models can be difficult to control. Cloud computing does not offer the best visibility and it is easy to lose track of which price control factors are having an impact on your budget. Having the right tools can help put value to parts of an environment and provide guides on how to better bring budgetary issues back under control.
AWS does incorporate several database services that offer high performance and great functionality. However, customers do find the difference between Amazon Relational Database Service and Amazon Aurora. Both services do provide similar functions, but do cover their own use cases.
AWS Snowflake Data Warehouse – or just Snowflake – is a data cloud built for users to mobilize, centralize, and process large quantities of data. Regardless of how many sources are connected to Snowflake or the user’s preferred type of organized data used, data is easily stored and controllably shared with selectively-authorized access. Snowflake does offer extensive control over its pricing, though how it works isn’t always clear.