ScienceSoft Global
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Java Consulting
Java consulting is aimed to solve technical challenges at any stage of the Java app development project life cycle. In Java development since 1998, ScienceSoft offers end-to-end Java consulting services that stretch beyond pure advisory and include implementation and support, if required.
ScienceSoft's Java Competences
Our Java consultants are ready to:
- Design a Java architecture that scales well or improve an existing Java app architecture.
- Develop a new Java-based app.
- Conduct Java code quality audit, code review, fix and update code.
- Upgrade Java applications to the latest Java version.
- Modernize existing applications built in Java (fresh UX, new interactive features, re-engineering, re-architecting, migration).
- Assess and improve the performance of the apps that use Java.
The Scope of Java Consulting Services by ScienceSoft
Consulting on the Java app development project launch
- Project planning, time & budget estimation.
- Java app architecture design.
- Selecting tools and technologies for the development and management of a new Java app.
Consulting on the Java app development and deployment processes
- Implementing Java best practices (code quality metrics, code review practices, etc.) in a new or ongoing project.
- CI/CD process setup.
- Infrastructure costs optimization.
New Java app development
- Analyzing needs and expectations of your company and target users.
- Describing functional and non-functional app requirements.
- Selecting techs and designing the app architecture.
- Designing UX and UI.
- Configuring the development, testing and production infrastructures.
- Developing, integrating, testing and deploying the new app.
- (on demand) Continuous KPI-based maintenance, optimization and improvement of the new app.
Java application improvement
- Java code quality audit and code refactoring.
- Adding new app features.
- Migrating to the latest Java versions and modern architectural patterns.
Java application performance optimization
- Review of the current software architecture and tech stack.
- App performance diagnostics to identify the root causes of negative patterns.
- Recommendations on code or architecture changes.
- Training on continuous application performance management for an in-house team.
Java application architecture improvement
- Review of the current app architecture, tech stack, used cloud services, and integrations.
- Identification of security, performance, availability, etc., bottlenecks in the Java app.
- Architecture redesign to improve the app’s scalability, availability, security, compliance, and cost-effectiveness.
Upgrading in-house Java skills
- Technical interviewing to help select Java specialists for your in-house team.
- Tailored training sessions to cover in-house knowledge gaps in Java.
Why ScienceSoft?
- In Java development since 1998.
- In-house Architecture and Solutions CoE to ensure every solution is resilient, secure, and built to avoid unnecessary complexity and costs.
- 10–15 years — the average experience of our Java developers and architects.
- A company with 750+ experts on board — BAs, certified PMs, QA consultants, security, DevOps, data engineers, etc.
- Compliance consultants in-house (HIPAA, GAMP, PCI DSS, and more).
- Building microservices architectures since 2016.
- Developing complex cloud applications, including SaaS and large distributed enterprise systems since 2012.
- Big data consulting services since 2013.
- IoT consulting services since 2011.
Java Development Areas We Are Skilled In
Enterprise Java-based applications
- Complex enterprise systems – ERP, CRM, SCM, enterprise asset management (EAM), PIM, enterprise content management (ECM), etc.
- Industry-specific applications – EHR, online banking, POS, etc.
- Web portals – vendor, customer, self-service, ecommerce, community portals.
- Ecommerce websites.
Java-based products
Including XaaS applications with millions of users and response of <1 sec.
- Self-service applications (including mobile banking).
- Multi-player game back end.
- Video streaming and processing software.
- VoIP and messaging applications.
Innovative software in Java
- IoT applications for managing smart connected devices.
- Big data processing and analysis software (e.g., for IoT sensor data, customer activity, SCM events).
- Image analysis software.
- Cybersecurity applications.
APIs in Java
- Private APIs in Java.
- Public APIs in Java.
Driving Java Success with Proven Practices
We are dedicated to navigating and overcoming any challenges your Java project may encounter, achieving success no matter what. Our extensive project management expertise allows us to deliver high-stakes projects with strict deadlines and budget constraints. We maintain open communication with all stakeholders and expertly manage risks and ever-changing requirements.
Discover the project management practices honed by our in-house PMO for various technology and development consulting scenarios.
See how we identify potential roadblocks in React.js projects, maintain transparency about these risks, and take preventive actions to avoid schedule delays or cost overruns.
Success measurement
Explore our tools and processes for monitoring consultant and developer productivity, as well as tracking overall project progress to ensure your goals are met efficiently.
Collaboration
Understand how we adjust communication frequency and format based on stakeholder needs, document key information, and integrate knowledge sharing to keep everyone well-informed.
Explore our approach to handling scope changes in Java projects, including the approval process and communication with stakeholders about planned and implemented changes.
See how we plan an ideal team structure, select top candidates for specific roles, and differentiate resource assignment processes for full outsourcing versus team augmentation models.
Our Java-related Tech Expertise
Java frameworks and extensions
Frameworks
Spring Framework
Eclipse Vert.x
Persistence frameworks
Hibernate ORM
JPA
Servers
Tomcat
WildFly
Platforms
Jakarta EE
Java EE
J2EE
Clouds
Amazon Web Services
Microsoft Azure
Google Cloud Platform
DigitalOcean
Rackspace Technology
Databases / data storages
SQL
Microsoft SQL Server
Microsoft Fabric
MySQL
Azure SQL Database
Oracle
PostgreSQL
Cloud databases, warehouses, and storage
Azure
Azure Data Lake
Azure Blob Storage
Azure Cosmos DBAzure SQL Database
Azure Synapse AnalyticsKinect DK
Azure RTOS
Google Cloud Platform
Google Cloud SQL
Google Cloud Datastore
Other
Microsoft Fabric
Real-time data processing
RabbitMQ
Apache Flink
Apache Spark Streaming
Apache Storm
Apache Kafka Streams
Amazon Kinesis
Azure Event Hubs
Azure Stream Analytics
Data analytics and machine learning
Apache Spark MLlib
MOA
IoT
Azure
Kinect DK
Notification Hubs
Azure SQL Edge
Azure RTOS
Azure IoT Central
Azure Digital Twins
AWS
AWS IoT Core
AWS FreeRTOS
AWS IoT Analytics
AWS IoT Events
AWS IoT Greengrass
AWS IoT SiteWise
AWS IoT Device Management
AWS IoT Device Defender
QA tools
JUnit
Fiddler
Postman
Selenium
DevOps
Containerization
Docker
Kubernetes
Red Hat OpenShift
Apache Mesos
Automation
Ansible
Puppet
Chef
Saltstack
HashiCorp Terraform
HashiCorp Packer
CI/CD tools
AWS Developer Tools
Azure DevOps
Google Developer Tools
GitLab CI/CD
Jenkins
TeamCity
Monitoring
Zabbix
Nagios
Elasticsearch
Prometheus
Grafana
Datadog
Application monitoring
Azure App Insights
Grafana
Prometheus
Datadog
New Relic
AWS X-Ray
AWS CloudWatch
How ScienceSoft Measures and Improves Code Quality
Code rules and guidelines
- Following the Java style guide.
- Creating descriptive names for code variables.
- Leaving comments on what particular code functions do.
- Documenting what code (as a whole) does and noting down its dependencies in a final README doc.
- Splitting code into short and focused units.
- Conducting unit tests.
- Keeping code portable.
- Using version control.
Code review practices
- Ad hoc review.
- Walkthrough.
- Pull request.
- Inspection.
Code quality metrics
- Maintainability index (MI).
- Cyclomatic Complexity (CC).
- Depth of Inheritance.
- Class Coupling.
- Lines of Code.
- Halstead Volume.
Sample Timelines for Our Java Software Consulting Services
|
Java code review: up to 300-400 LoC/hr. |
Java application performance optimization: from 7-14 days, depending on the application complexity. |
|
Java architecture (re)design: from 5-10 days, depending on the application complexity. |
Java application performance assessment with recommendations: from 5-7 days. |
Choose Your Service Option
Java consulting at the project’s start
ScienceSoft’s experts can help you with:
- Software ideation: analyzing your business needs and preparing a software requirements specification.
- Java app architecture design.
- End-to-end self-managed Java app development and QA.
- Reinforcing your team with specific skills (team augmentation).
Java consulting for an existing app
ScienceSoft’s consultants take on:
- Auditing the way your app operates and meets your business needs.
- Code reviews by senior-level IT professionals.
- Exploring inefficient Java development processes, irrational cloud services spending, low user adoption, security issues.
- Planning a strategy to handle detected inefficiencies, which may include Java app modernization, refactoring, migration, adding new modules/features, and UI/UX upgrade.
- Fixing flaws in the app architecture affecting performance and security, limiting software scalability.
- Redesigning software architecture with a focus on resilience, easy future updates and optimized maintenance costs.
Pricing Options for Java Consulting Services by ScienceSoft
Fixed price
Best for: Java project feasibility study, PoC.
You pay the price established by a contract.
Time & Material, Time & Material with a cap
Best for: Advisory activities (business analysis, architecture design, project planning, etc.), agile Java app development and implementation, Java app evolution (introducing substantial changes or adding new functionality).
You receive the end-of-the-month invoice based on the hours or efforts reported per month (under the stated upper limit in case of T&M with a cap).
Fixed monthly fee
Best for: L3 Java application support (in-code defect fixes, functional changes).
At the start of cooperation, we define the hourly rate for Java app support activities. After the service is delivered, you pay for a bunch of hours during which we’ve been providing support.
