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Lambda infrastructure automation
AWS Lambda Managed Instances Offer Specialized Compute Configurations
AWS Lambda Managed Instances bring Lambda’s operational simplicity to EC2, enabling specialized compute options, cost efficiency, and predictable scaling ...
Adrian Bridgwater
|
December 10, 2025
|
aws
,
AWS cloud engineering tools
,
AWS compute services
,
AWS Graviton4
,
AWS Lambda
,
AWS Lambda Managed Instances
,
AWS operational simplicity
,
cloud cost optimization
,
cloud native
,
cloud scalability
,
cloud services
,
compute-optimized instances
,
developers
,
EC2 specialized compute
,
GPU accelerated computing
,
Lambda compute configurations
,
Lambda infrastructure automation
,
Lambda steady-state workloads
,
memory-optimized instances
,
parallel request processing
,
pay-per-use compute
,
serverless compute
,
serverless vs EC2
,
storage-optimized instances
,
VPC configuration Lambda
×
Exploring Trends in Mainframe Application Modernization
Step
1
of
8
12%
What is your organization’s primary approach to modernizing mainframe applications?
(Required)
Converting entire applications from traditional mainframe languages to a modern language such as Java
Selective modernization of specific modules or components
Building modular architecture from existing monolithic applications
Maintaining applications with improved documentation and understanding
We do not utilize mainframes at my organization
Does your organization currently have an application modernization initiative in place?
(Required)
Yes
No
Don't Know
What TWO factors MOST OFTEN drive your organization’s decisions to modernize specific mainframe modules? (Select up to 2 responses)
(Required)
Skills/talent gap concerns
High frequency of maintenance
Technical debt reduction
High frequency of updates
Changing business rules or requirements
Cost reduction goals (MIPS, licensing, etc.)
Process optimization needs
Other
What strategies does your organization use for mainframe code transformation?
(Required)
Maintain and document original mainframe code (COBOL, PL/I, Assembler, JCL, REXX)
Convert mainframe languages to Java or other modern languages
Refactor code into modular, reusable components
Maintain parallel versions (original and converted) for validation
Use AI-powered tools for code documentation and understanding
Use AI-powered tools for code conversion
Other
What is your organization's strategic direction for mainframe applications over the next 3-5 years?
(Required)
Mainframe-first: Keep applications on mainframe as a strategic platform, modernize in place
Cloud-first: Migrate applications from mainframe to cloud platforms
Fit-for-purpose hybrid: Place each workload on the most suitable platform (mainframe, cloud, or distributed)
Evaluating options / No defined strategy yet
Other
What factors MOST influence your organization's platform decisions for mainframe applications? (Select up to 2 responses)
(Required)
Security and compliance requirements
Performance and scalability requirements
Cost optimization
Skills availability and talent access
Integration with modern applications and APIs
Business continuity and risk management
Other
What are the TOP TWO benefits your organization expects from mainframe modernization? (Select up to 2 responses)
(Required)
Faster innovation and time-to-market
Better understanding of business logic and code documentation
Reduced costs (MIPS, maintenance, licensing)
Expanded talent pool and reduced skills gap
Improved system maintainability
Enhanced integration with modern systems
Other
How effective have AI-powered tools for code conversion been in your modernization efforts?
(Required)
Extremely effective
Very effective
Moderately effective
Slightly effective
Not at all effective
We do not use AI-powered tools
Δ
×