At AWS re:Invent 2024, GitLab is showcasing its comprehensive AI-powered DevSecOps platform, offering enterprise technology leaders a glimpse into the future of software development.
In an exclusive interview with VMblog, Emilio Salvador, GitLab's Vice President of Strategy and Developer Relations, highlights the company's strategic approach to transforming software innovation, multi-cloud deployments, and the emerging role of AI in the development lifecycle. With multiple speaking sessions planned and an interactive booth experience, GitLab is set to demonstrate how organizations can streamline their software development processes, enhance security, and leverage cutting-edge AI technologies.
VMblog:
Before we dive into AWS re:Invent specifics, can you give our readers a brief
overview of your company and what sets you apart from others in the
market?
Emilio
Salvador: GitLab is
the most comprehensive AI-powered DevSecOps platform for software innovation.
With our DevSecOps platform, organizations can automate and streamline the
processes involved in developing, testing, deploying, and maintaining software,
enabling them to deliver high-quality software faster and more reliably.
VMblog:
How can attendees of the event find you? What do you have planned at your
booth this year? What type of things will attendees be able to do at your
booth?
Salvador: Attendees
can connect with us at Booth 1828, located on the show floor in The Venetian!
Stop by the booth to talk to DevSecOps experts, dive into our latest AI
capabilities built directly into the platform, learn best practices, and have
all your technical questions answered. Plus, we'll be handing out GitLab swag
to those who stop by.
VMblog:
Have you sponsored AWS re:Invent in the past? If so, what is it about
this show that keeps you coming back as a sponsor?
Salvador: GitLab has
been a proud sponsor of AWS re:Invent since 2019. We value connecting with the
community, customers, and contributors at the event.
VMblog:
Do you have any speaking sessions during the event? If so, can you give
us the details?
Salvador: Several
GitLab team members will be participating in speaking sessions during the event
- be sure to check them out:
- December 5 at
10:30am PT: Jackie
Porter, Director, Product at GitLab and Kyle Seaman, Senior Technical
Product Manager, Amazon Q Developer will host a 20 min session on
GitLab + Amazon Q Developer
- Location: Theater 4 -
Data & AI/ML Pavilion
- December 5 at
11:00 am PT: Lee
Faus, Global Field CTO at GitLab, will participate in a breakout session
with Jason Valentino, Head of BNY's Software Engineering Practice, about
the rise of the platform engineer.
- Location: MGM Grand |
Level 3 | Chairmans 370
- Dec 5 at 2:00 pm
PT:
Sabrina Farmer, CTO, GitLab, will be participating in the keynote hosted
by Adam Seligman, VP of Developer Experience at AWS on reimagining the
developer experience at AWS.
- Location: Venetian |
Level 5 | Palazzo Ballroom B
VMblog:
What are the most significant cloud-related challenges your customers are
facing in 2024, and how does your solution address these pain points?
Salvador: When organizations begin implementing DevSecOps, they often
experience toolchain sprawl by linking together multiple-point solutions.
According to the recent GitLab Global DevSecOps
Report, too many tools can hinder development velocity. Nearly 54% of
individual contributors say their teams use up to 14 tools for software
development, while only 17% have begun tool consolidation efforts.
Moreover, the problem with relying on point solutions with their
respective AI assistants is that they become trapped in silos, unable to see
and understand the broader context. Each tool offers only a limited
perspective, hindering the AI's ability to provide comprehensive insights and
support.
This fragmented approach limits the potential of AI to truly
revolutionize the software development lifecycle. In contrast, a unified
platform like GitLab breaks down these walls, providing AI with a complete and
contextualized understanding of the development process.
VMblog:
Which of your products or solutions will you be highlighting at AWS re:Invent
2024, and why are they particularly relevant for today's AWS users?
Salvador: AWS and
GitLab announced an integrated offering that brings together GitLab Duo with
Amazon Q Developer.
The AWS
and GitLab integrated AI offering helps customers deliver innovation in complex
environments with a single software development solution that empowers teams
from idea to delivery with built-in security, enterprise scale, and proven AWS
reliability at its core.
GitLab Duo
with Amazon Q is in preview today for GitLab Ultimate tier customers on
Self-Managed.
VMblog:
How does your technology specifically complement or enhance AWS services, and
what unique value proposition do you offer to AWS customers?
Salvador: GitLab and
AWS combine the most comprehensive AI-powered DevSecOps platform with the
broadest and deepest set of cloud capabilities and AI agents. Together, we
provide complex customer environments with built-in security, scale, and
reliability, enabling teams to deploy to cloud workloads using a single
solution.
This
comprehensive approach allows organizations to increase software development
velocity, resulting in improved operational efficiency and faster time to value
for cloud investments.
VMblog:
With AI and machine learning being hot topics, how is your company
incorporating these technologies to improve cloud operations and
management?
Salvador: Due to
intensifying market competition and rapidly evolving customer expectations,
companies need to innovate faster. Developer teams need to deliver secure
software quickly in response to market changes. AI tools should empower the
whole team to collaborate and contribute to better software and business
outcomes.
At GitLab,
we take a unique approach to AI. Rather than relegate it solely to code
generation, GitLab Duo integrates AI throughout the software development
lifecycle to streamline development and deployment workflows, enable better
collaboration, identify and mitigate potential security issues, and visually
forecast the impact on business results.
VMblog:
What new product announcements or demonstrations can attendees expect to see at
your booth during AWS re:Invent 2024?
Salvador: GitLab and AWS announced a strategic collaboration to co-develop an
integrated offering, GitLab Duo with Amazon Q. We will be providing
demonstrations of this new offering at our booth, in addition to demos of
GitLab Duo and lightning talks in our booth's mini theater.
VMblog:
Security and compliance are top priorities for AWS users. How does your
solution strengthen an organization's cloud security posture?
Salvador: GitLab
takes a security-first approach to software development by organically
fostering secure software development practices. By bringing all the DevSecOps
capabilities into one platform with a unified data store to improve the user
experience, GitLab reduces context switching to help teams produce
higher-quality code, make fewer mistakes, and ship secure software faster.
Key
benefits of GitLab include:
- Secure by
default:
Security is integrated throughout the platform for secure source code
management, CI/CD, and AI.
- Consolidated
instrumentation:
Organizations can adopt DevSecOps best practices while saving costs on
internal tooling maintenance, automating manual tasks, and freeing up
resources to be redeployed for value-driving feature development.
- AI throughout
the entire software development lifecycle: Increasing
efficiency, improving cycle time, and strengthening security.
VMblog:
What hands-on experiences or interactive demonstrations will you be offering at
your booth this year?
Salvador: GitLab and
our partners will give 15-20-minute lightning talks with Q&A opportunities
in our booth's mini theater throughout the week. The talks will cover topics
such as securing the software supply chain with GitLab, how to easily deploy
AWS using GitLab, and an overview of GitLab's AI features. Stop by Booth 1828
to learn more!
VMblog:
Many organizations are adopting multi-cloud strategies. How does your solution
support customers who use AWS alongside other cloud providers?
Salvador: Approximately 85% of organizations use multi-cloud
environments, but not every organization is at the same level of maturity.
Modern
enterprises need deployment flexibility - especially organizations with complex
security, compliance, and regulatory requirements. With GitLab, organizations
can choose the cloud providers that work for their technology and technology
strategy.
VMblog:
Looking ahead to 2025, what technology trends do you anticipate will have the
biggest impact on AWS users, and how is your company preparing for these
changes?
Salvador: While
organizations are realizing AI-assisted development's efficiency and
productivity benefits, even more significant changes lie ahead. I predict there
will be three ways AI will significantly alter software development in the
coming year:
- The future of
applications are intelligent, adaptive AI agents
The
future of applications is shifting toward intelligent, adaptable AI agents
that surpass the limitations of traditional software. Rather than
interacting with fixed interfaces and preset workflows, users will engage
with AI agents that respond intuitively and learn over time. These AI
agents will serve as the application, providing a more interactive and
conversational experience. They will perform tasks, offer guidance, and
learn from interactions in real-time. This change will lead to
significantly more personalized and responsive applications, fundamentally
reshaping how we use software.
- AI assistants
will evolve from reactive tools to proactive collaborators
AI
assistants are getting smarter, moving beyond reactive prompt-based
interactions to proactive problem-solvers. As central hubs for code
assistance, AI agents will anticipate developers' needs and offer
real-time suggestions for optimizing application performance, security,
and maintenance. This shift will streamline the entire software
development lifecycle, making it more accessible through a simple user
interface.
- More companies
will run customized AI models on-premise
In
2025, we will see a shift toward on-premise AI deployments. As open-source
models become more cost-effective and accessible, organizations will
increasingly opt to run customized versions within their data centers. As
a result, it will be cheaper, faster, and easier to own AI models and
fine-tune them to individual needs.
VMblog:
Are you giving away any prizes at your booth or participating in any prize
giveaways?
Salvador: Attendees
can come by the GitLab booth, #1828, to grab totes, wireless chargers,
stickers, and Lego-like sets to build the GitLab Tanuki mascot. We will also
have a coffee cart at the booth for re:Invent attendees to fuel up during the
event on Tuesday, December 3, and Wednesday, December 4.
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