Redefine Speed-to-Market by Powering Your DevSecOps with AI and ML
By 2023, 40% of DevOps teams will use application and infrastructure monitoring apps with integrated AI for IT operations platforms
Speed and precision are imperative if enterprises are to stay ahead of the competition. DevOps has brought a paradigm shift in the technology space by empowering development and operations teams to work collaboratively, hand-in-hand, and ensure faster time-to-market. Deploying DevOps that hinge on intelligently designed systems and are underpinned by comprehensive security (DevSecOps) is the need of the hour for global enterprises.
CriticalRiver can help reduce operational complexities and accelerate digital transformation with advanced AI/ML and DevSecOps tools. With 100+ years of combined industry experience, we deliver the following:
- Assessment services for current state assessment of DevSecOps tools and processes
- Real-time analytical reports indicating DevSecOps maturity levels to track progress
- Standard reference architectures to manage DevSecOps services for software dev and managed services
- Engineering services to develop and manage DevSecOps solutions
- AIOps for recommendations on capacity management and cost reduction up to 25%
- Root Cause Analysis of infrastructure incidents with AIOps for faster resolution and MTTR reduction up to 35%
- Continuous learning and improvement with AIOps on capacity management and root cause identification
- Leverage AIOps to provide a complete context for recommendations and root causes
- Assessment services for current state assessment of DevSecOps tools and processes
- Real-time analytical reports indicating DevSecOps maturity levels to track progress
- Standard reference architectures to manage DevSecOps services for software dev and managed services
- Engineering services to develop and manage DevSecOps solutions
- AIOps for recommendations on capacity management and cost reduction up to 25%
- Root Cause Analysis of infrastructure incidents with AIOps for faster resolution and MTTR reduction up to 35%
- Continuous learning and improvement with AIOps on capacity management and root cause identification
- Leverage AIOps to provide a complete context for recommendations and root causes
Accelerating the Service Delivery Lifecycle using streamlined DevSecOps process & cutting edge AI/ML models
With its market knowledge, CriticalRiver can productize the deep technology and build accelerators to help companies set up for success and make a definitive impact.
Our latest offerings of advanced AI, ML, and DevSecOps solutions help reduce operational complexities and accelerate digital transformation. With 100+ years of combined industry experience, CriticalRiver adds cutting-edge solutions to its portfolio:
AI/ML Model-as-a-Service
Intelligent Capacity
Management
recommendations on rightsizing hybrid/
multi-cloud resources
Incident Clustering and Root
Cause Analysis
and probable resolution through Root
Cause Analysis
Automate Predictive
Insights
validated and approved
recommendations
Maturity Assessment
Maturity Levels for
Service Delivery
A maturity level is a well-defined evolutionary plateau toward achieving a mature software process. Our goal is to identify the maturity level of the organization through a simple survey form and automated in-depth analysis by reading the relative data using APIs, and to help them improve the maturity level by providing recommendations and actively engaging with their teams when needed.
How are we
building it
For the survey, our initial approach is to provide it in simple form to collect responses and store them in simple sheets for further evaluation. This was further evolved into storing the responses in a relational database solution, which can be utilized to evaluate performance metrics and can be validated later by an automatic evaluation process by reading the systems. We created connectors and web hooks for a few tools and platforms so that we can easily connect to their systems and extract information via APIs, which is then converted into simple performance metric numbers.
Challenges
Though the method and solution look straightforward, constructing the initial solution was a challenge. Surveys require proper questions to understand service delivery standards. Our team’s wide industry experience helped develop the questions for the survey with multiple options and equal weightage. These questions address maturity standards in areas such as “Team Agility,” “Architecture,” “DevSecOps Practice,” “Development Practices and Team Collaboration,” etc. Adopting Google Apps script for automated review, which is distinct from typical scripting, and comprehending Google Form APIs are also another challenge.
Cloud Migration and Optimization as a Service
Application and
Infrastructure Discovery
and network devices and map
dependencies between them. Discover,
map, and build a holistic view of your
infrastructure.
Application
Assessment
– Extract Key business rules and process
– Calculate complexity, risk and technical debt
– Automatically evaluate the innovation to
technical debt cost ratio and TCO improvement
through modernization
Application
modernization
modern, scaleable cloud-native applications to
maximize value from existing IT investments.
Achieve faster speed-to-market, competitive
advantage, and cost savings while enabling
your DX journey from legacy to cloud
DevSecOps-as-a-Service
Infrastructure
Management
Infrastructure-as-a-Code, scalable
servers, eliminate server state mismatch,
bring up servers in deploy real state
Environment
Management
automated, error-free, faster configuration
deployment, single tool management for all
environments, and configuration of activity reports
Automate continuous integration/
deployment/operations
and integration for improved team
productivity, business agility,
and reliability
MLOps-as-a-Service
Combine AI/ML with DevOps practices to create continuous development, integration, and delivery (CI/CD) of data and machine learning applications.
Accelerate AI/ML-based
value for your business
MLOps helps to find faster and
simpler ways to productize machine
learning projects so that they can
make an impact on the business.
Increase team productivity
and eliminate silos
The major challenges stem from the
fact that the data science team
frequently works in isolation, is
walled off from the engineering…
Provide reliable and
reproducible results
MLOps helps to create repeatable
and reusable stages for your data preparation, training, and scoring processes using machine learning pipelines.
Monitor, explain, and improve model behavior and accuracy
When you use MLOps, you promote automation and monitoring at all stages of the development of ML systems, monitor, integration, testing, releasing, deployment, and infrastructure management.
The CriticalRiver Edge
We help drive a robust and streamlined migration and optimization journey with a well-structured approach to going cloud-native. Partner with us for:
- Demonstrated track record
- 100% cloud-certified professionals
- Ensure business continuity through the migration
- Cloud consulting, strategy, and end-to-end road map implementation plan
- Proven best practices in data security and governance
- Cloud optimization and integration with existing applications
- Better scalability, efficiency, and time-to-market
- Seamless and streamlined cloud transformation, on budget and on time
Let’s Start Something New
You can also email us directly at contact@criticalriver.com