Your Trusted AWS
Partner
Develeap is an AWS Advanced Partner and your trusted choice for DevOps and Cloud Professional consulting.
We are DevOps experts with a deep understanding of building, deploying, and managing cloud applications.
The Develeap Advantage
We are Israel’s largest DevOps and professional services company and a proud AWS-trusted partner with a proven track record of success.
Our team of certified experts will guide and support your business from gap analysis through architecture design and implementation.
With highly skilled DevOps engineers who are well-versed in the latest technology stack, develeap is helping leading commercial, financial, medical, telecom, and cyber companies to build, manage, and deploy their applications in the cloud.
Areas of AWS Expertise, Service Delivery & Competencies
Develeap works closely with AWS to help our customers take full advantage of AWS cloud technology and services.
Our team of cloud experts has a deep understanding and relevant customer experience that integrates with cutting-edge AWS services. We are continuously leveraging AWS solutions to guide our customers in their cloud journey.
AWS Certifications
We encourage every one of our employees to learn and explore various AWS Cloud services firsthand, experience hands-on experiments, deepen their understanding of AWS functionalities, and stay updated with the latest AWS features and services.
Develeap Offers
Gain a comprehensive understanding of your current DevOps infrastructure and processes.
This in-depth analysis of your company’s DevOps infrastructure and process focuses on productivity, scalability, resiliency, and cost control in key areas such as:
- CI/CD efficiency
- Kubernetes utilization
- Cloud and service utilization
- Cost-control strategies in your environment management
Streamline your software delivery process with a custom-built CI/CD pipeline.
Our engineers will implement CI/CD pipelines from scratch or improve your existing system and process based on your business requirements and goals. Our experts follow a well-established process:
- Gap analysis: identifying customer needs and existing state
- Architecture definition and technology selection
- Implementation of infrastructure and process
- Training your team to manage the system independently
Migrate your operations, or specific parts, to the cloud while maintaining uptime and security.
Our focus is on achieving elasticity and scalability for your needs, along with cost management strategies. Move parts of your operation or the entirety of it into the cloud while maintaining uptime. We put a strong emphasis on scalability, security, and cost management. Our experts follow a well-established process:
- Gap analysis: Identifying customer needs and existing state
- Definition of required end state and architecture
- Building a migration plan based on business constraints
- Performing the migration along with your team
- Knowledge-sharing sessions to empower your team
Prepare for unforeseen disruptions with a secure, compliant, and cost-effective disaster recovery plan that actually works according to the level of resilience your business dictates.
Our experts follow a well-established process:
- Gap analysis identifying your needs and existing state
- Definition of required end-state and architecture
- Building a work plan based on business constraints
- Executing the plan along with your team
- Collaborative learning sessions with your team
Modernize your legacy applications by migrating them to the Docker/Kubernetes ecosystem.
Our experts will guide you through planning and execution, ensuring a smooth transition:
- Empower developers
- Enhance scalability
- Strengthen security
- Prioritize system uptime throughout the process.
Get a complete, scalable, and resilient machine-learning operations framework tailored to your needs.
Our MLOps experts will ensure seamless integration and management of your machine learning models, focusing on scalability, efficiency, and continuous improvement:
- Comprehensive analysis of your existing MLOps pipeline and infrastructure
- Optimized model training, deployment, and monitoring processes
- Cloud-based architecture for scalability and cost-efficiency
- Implementation of best practices for data versioning, model performance, and pipeline automation
- Knowledge transfer to ensure your team can manage and scale independently