50% Less Mean Time to repair

33% less public cloud consumption spend

500% returns in under 6 months

99.99% application availability

Scale your devops from poc to enterprise ready in days

  • No more expensive Devops; Do’t have to wait for months.

  • Setup one time and iterate as you move on

Gen AI Journey

Prompt Engineering

  • LLMs lack the domain specific expertise of custom AI models.

    Craft specialized prompts and workflows to guide their usage. Use playground.

    Use powerful AI tools  and systems that drive operational gain.

Retrieval Augmented Generation

  • Consolidate and cleanse the data you intend to use.

    With RAG, it’s vital that your company stores the data in sizes that will be appropriate for the downstream models.

    Set up their own vector database

Fine-Tuning a Foundation Model

  • With fine-tuning, you can take a general-purpose model and train it on your own specific data.

    Using off-the-shelf SaaS-based LLMs to creating a bespoke LLM that is better, faster, and cheaper.

    The new model took 2 engineers, 1 month and less than $1,000 in compute cost to develop.

Pretraining and LLM Evaluation

  • Choosing to pretrain an LLM from scratch is a significant commitment, both in terms of data and computational resources.

    Unique data sources, domain speciality, full contorl over the data and avoiding biases.

    These systems learn from vast datasets and can evolve over time, potentially leading to shifts in performance, accuracy or even the emergence of biases.

Benefits

Enterprise observability

Real-time observability to understand your application and IT infrastructure stack. See contextual data and take intelligent action to better assure application health and performance.

Enhance comprehensive visibility with “out-of-the-box” metrics-driven insights for health and performance monitoring

Automated operations

Deliver hybrid cloud cost optimization and quicker time-to-value with AI and automation. Get the maximum business value from your investments in public, private, hybrid and multi cloud environments.

Dynamically and continuously maintain cost-effective application performance and resource utilization.

Incident management

Empower central ITOps teams with end-to-end estate visibility and holistic incident triage for faster response and reduced costs.

Learn patterns from monitoring to comprehend IT asset relationships, define applications, predict events and automate resolution with an AIOps platform.

FAQ

We engage in customer requirements in detail. Based on the application stack, scalability requirements and cost, we propose a plan for deployment of BlueShift.

Blueshift has two repositories. A modules repository and application environment repository. 
The repositories are delivered to the customer after customization.
Modules repository consists of reusable modules.
Application environment repository has application deployment stack like for different environments like dev, intg, qa, staging and production.

BlueShift consultants customize and deploy the software. Blueshift consultants automate the deployment of all applications and make sure all the infrastructure is up and running. Blueshfit provides 3 monts paid support for the infrastructure. It covers issues, failures in deployments.

Blueshift provides long terms support as managed services. Customers can signup for managed services for long term support and business continuity

We are located in Hyderabad. Blueshift will be deployed and supported remotely.

VAYR provides Cloud Migration, Managed CloudOps, Product Development services, Quality Assurance and Gen AI services