Events

On May 16th, 2026, Inspired by the growing MongoDB and DevOps community in Bengaluru, we partnered with the Namma MUG community to bring together engineers exploring automation, CI/CD, Infrastructure as Code, and database migration strategies for modern applications.We had been looking forward to for a long time at Harness, our first Database DevOps community event in India focused on MongoDB and modern database automation practices.

The event was a deep dive for experts into how database automation can work with MongoDB easily, without needing manual steps.

My session on OSS Native Mongo Executor initiative was attended by several engineers already using tools like Liquibase, Flyway, and ORM driven migration workflows. That led to incredibly valuable conversations around what Database DevOps should look like for MongoDB-native environments.

Interestingly, many attendees wanted to understand:

• How Harness DBDevOps works internally
• How pipelines orchestrate MongoDB deployments
• How changelog-driven workflows compare against traditional scripting
• Whether Liquibase-style workflows can fit naturally into MongoDB ecosystems
• How rollback and migration tracking works in NoSQL environments

We also had several deep discussions around CI/CD production rollout strategies and the differences between native Mongo execution and traditional relational migration engines.

These discussions were incredibly insightful because they showed that teams are no longer thinking only about “Database Scripts” - they are thinking about full database delivery workflows integrated into DevOps platforms.

What the Community Told Us

One clear thing we heard throughout all our discussions was how much people want easier ways to get started and more hands-on examples for working with MongoDB DevOps. People kept asking us for simple guides for beginners, real examples of how to set up Continuous Integration and Continuous Delivery (CI/CD), starting templates, and clear steps for moving and rolling back databases from start to finish. We also got into some deep technical talks about handling complex queries, moving databases while they are live, and making sure our deployments are reliable, especially when we talk about advanced ways to undo changes. 

A lot of the attendees were really curious about how our MongoDB-native ways of doing migrations are different from the older, traditional database methods. That led us into bigger discussions about why using native MongoDB tools is important, how we manage schema changes in NoSQL, and the unique problems we face with document databases as we move from simple open-source tools to big enterprise-level Database DevOps systems. Overall, the reaction to our new OSS Native Mongo Executor was fantastic! It was clear that people really liked our approach of building Database DevOps features that fit naturally with MongoDB, instead of trying to force old relational rules onto a NoSQL system.

The future of Database DevOps is expanding beyond relational systems, and it’s exciting to see the MongoDB community helping shape that journey with us. A huge thank you to everyone who joined us, especially the speakers and community members who made the event successful: Naveen Kumar, Narendra Gottipati.Pritesh Kiri, Aripriya Basu

For us at Harness, this meetup made us realise something important: The community is actively looking for better ways to automate MongoDB operations while maintaining reliability, governance, and developer velocity. We have a lot more events coming up which you can join - Harness · Events Calendar

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‍Summary: Google Cloud Next ’26 focused on the future of software delivery, emphasizing that AI, platform consolidation, and an urgent push toward efficiency are reshaping the Software Development Life Cycle (SDLC). The key takeaway from the event was that organizations are moving from AI experimentation to operationalization, actively consolidating fragmented tools onto end-to-end platforms that embed AI for control, intelligence, and speed.

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Google Cloud Next 2026 made one thing clear: the future of software delivery is being reshaped in real time by AI, platform consolidation, and an urgent push toward efficiency. From the show floor to executive roundtables, the conversations we had reinforced a consistent theme: teams are looking to tackle the AI Velocity Paradox by simplifying, modernizing, and intelligently automating every stage of the SDLC.

Strong Signal from the Event

We had hundreds of meaningful conversations with engineering, platform, and cloud leaders. The patterns were unmistakable.

Across industries, organizations are grappling with:

• Fragmented CI/CD pipelines
• Manual or inefficient release processes
• Rising cloud costs without clear accountability
• Early, but serious, exploration of AI in the SDLC

These challenges mapped directly to Harness’ core solution areas:

• Software delivery & CI/CD modernization
• Database management & deployments
• AI-powered DevOps & FinOps

And the urgency is real. We spoke with teams:

• Still running homegrown deployment systems, shipping just twice a year due to regulatory constraints, but now exploring AI agents to orchestrate each pipeline step
• Deep in Jenkins-based environments, actively evaluating how to standardize pipelines and modernize security
• Managing multi-cloud footprints and searching for better cloud cost visibility and control
• Using CI tools with agents, but needing help scaling automation across build, test, and deploy workflows
• Leaning into AppSec integrations within CI/CD as security shifts further left

A recurring thread:
“We’re already experimenting with AI, but we need a platform that brings it all together.”

AI in the SDLC: From Curiosity to Commitment

If 2025 was about AI experimentation, 2026 is about operationalization.

We saw a sharp increase in:

• Interest in AI-assisted pipeline orchestration
• Discussions around AI-driven security and compliance workflows
• Demand for intelligent cost optimization tied to engineering activity

Multiple attendees explicitly mentioned:

• Building or planning AI agents across delivery pipelines
• Evaluating vendors based on AI capabilities within CI/CD and DevSecOps
• Wanting to understand how AI can reduce toil without sacrificing control

This shift aligns perfectly with Harness’ vision of AI-native software delivery, where intelligence is embedded, not bolted on. In fact, at Next, we announced a major step forward in making that vision real through our expanded partnership with Google Cloud. By integrating Google Cloud Developer Connect with the Harness Software Delivery Knowledge Graph, we’re enabling a unified layer of AI intelligence across the entire SDLC.

This means AI in Harness isn’t operating in silos. It has full, real-time context across code, pipelines, infrastructure, and runtime signals. The result is smarter automation, faster root cause analysis, and AI agents that can act with confidence, not guesswork. It’s a foundational step in moving from AI-assisted workflows to truly AI-native delivery systems, which is exactly what attendees told us they’re looking for.

A great example of this is Keller Williams. Keller Williams leveraged the Harness platform to transform their software delivery, increasing deployment frequency from a few times a year to over 20+ annual releases. By automating manual pipelines, the platform eliminates operational bottlenecks and allows its developers to focus on rapid innovation rather than deployment logistics.

DevOps Panel: The Future is Frictionless

Harness’s Martin Reynolds joined leaders from Atlassian, Datadog, LangChain, and Google to explore what’s next in a session titled: The Future of Developer Experience is Frictionless
The takeaway?
The next leap in productivity won’t come from isolated tools. It will come from connected, intelligent systems that remove friction entirely. With 150+ attendees on the final day, it was clear this message resonated.

The Bigger Picture: Platform Consolidation is Accelerating

Across every conversation, one strategic shift stood out:

Teams want fewer tools and smarter ones.

Organizations are actively:

• Replacing point solutions and legacy CI/CD tools
• Consolidating onto end-to-end platforms
• Prioritizing security, cost, and delivery in a single workflow

Jenkins modernization alone came up repeatedly. Not as a question of if, but when.

Recognition That Matters

The event kicked off with Google Cloud recognizing its partners. We were proud to be named Google Cloud’s 2026 Technology Partner of the Year, a reflection of the innovation and impact we’re delivering together with GCP.

Final Takeaway

Google Cloud Next ’26 wasn’t just about cloud. It was about control, intelligence, and speed.

The organizations moving fastest right now are:

• Embedding AI into their delivery workflows
• Rethinking how pipelines, security, and cost intersect
• Investing in platforms that eliminate—not add—complexity

Harness is uniquely positioned at that intersection.

And based on what we saw in Vegas, the demand for that future is only accelerating. Here’s the event recap video.

If you connected with us at the event or want to continue the conversation, we’d love to dive deeper.

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The AI revolution isn't coming—it's already here, and it's rewriting the rules of software development at breakneck speed. AI agents autonomously navigate entire codebases and generate code faster than ever before. But as we embrace these powerful tools, a critical question emerges: Are we all building on solid ground, or are we constructing skyscrapers on quicksand?

Welcome to the new frontier of DevSecOps, where artificial intelligence isn't just changing how we build software—it's fundamentally transforming what we need to protect and how we protect it.

On November 12th, Harness is hosting the virtual DevSecOps Summit 2025. Industry leaders, security practitioners, and AI innovators are converging to tackle the most pressing challenge of our generation: securing AI systems from the first line of code to production deployment and beyond. This isn't about adding another checkbox to your security compliance list. This is about reimagining security for an era where code writes code, where models make decisions, and where vulnerabilities can be AI-generated as quickly as features.

Why AI Features Matter Now

The statistics are sobering. AI-generated code is proliferating across enterprise codebases, often without adequate security review. Large Language Models (LLMs) are being deployed with proprietary data access, creating unprecedented attack surfaces. Agentic systems are making autonomous decisions that can impact millions of users. And traditional security tools? They're struggling to keep pace.

But here's the paradox: while AI introduces new security challenges, it's also a powerful multiplier to our efforts to address them. The same technology that can generate vulnerable code can also detect anomalies, predict threats, and automate security responses at machine speed.

From Pipeline to Production: A Holistic Approach

This summit explores the complete AI security lifecycle—because threats don't respect the boundaries of your CI/CD pipeline. Here are just a few of the topics that we’ll examine at the Summit:

• When Vibe Coding Loses Its Cool: Vibe coding is changing how we design, code, and secure software, but it must be done thoughtfully. Tanya Janca (author of Alice and Bob Learn Secure Coding) and Adam Arellano of Harness will engage in a lively fireside chat about bringing AI into your development workflow safely and effectively.
• Ways to Ensure Security Across the SDLC: Leading experts from Harness, Wiz, Citizens Bank, and InterSystems will demonstrate a unified and integrated approach to AI security, emphasizing that robust protection must span the entire lifecycle, from the initial pipeline stages to full production deployment. Attendees will:  
  
  • Gain insights into how to bridge the existing gaps between development and operations security with a practical, actionable framework for securing AI applications end-to-end.
  • Learn how to ensure that your security controls are not static, but evolve dynamically and as rapidly as your AI capabilities with continuous protection against emerging threats and vulnerabilities in an ever-changing landscape.
• How to Check Your AI Blind Spot: Security researchers from Harness, SentinalOne, and ASPEN Labs share real-world examples of threats targeting AI-native applications, risky behavior is usage of AI components, and even how attackers are using AI tools to attack faster. You'll learn:
  
  • Practical approaches to securing your new AI attack surface, implementing guardrails for rolling out AI functionality without slowing down development.
  • Invaluable insights into the intricacies of securing an AI-powered future, exploring practical approaches to counter sophisticated attack vectors.
  • What researchers are experiencing the wild and how they’re securing AI-native applications in real-time.

What You'll Discover

Throughout this summit, you'll hear from practitioners who are solving AI challenges in real-world environments. They'll share hard-won lessons about securing agentic applications, preventing prompt injection attacks, validating AI-generated code, and building governance frameworks that scale with AI adoption.

Whether you're a security professional adapting to AI-powered threats, a developer integrating AI tools into your workflow, or a leader navigating the strategic implications of AI adoption, this summit offers actionable insights for your journey.

The future of software is AI-native. The question isn't whether to embrace it, but how to do so securely, responsibly, and effectively. Let's explore that future together—from pipeline to production, and everything in between.

Join us at DevSecOps Summit 2025.

This year, Harness brought together innovation leaders from top enterprises like McDonald’s, ADP, and Chase to share how they’ve revolutionized their software delivery using safer, smarter release processes and experimentation-led cultures.

It wasn’t just another tech event—it was a moment for product, engineering, and leadership teams to come together to challenge the software development status quo. Watch the event on your own terms and learn from the best in the industry.

On Demand Thought Leadership Panels

Releasing software shouldn’t feel like a high-stakes gamble. The most successful teams are moving away from risky, big-bang releases and are instead experimenting, measuring, and iterating their way to success.

Flagship 2025 made feature measurement and learning a central topic of discussion. With measurement at the core, featured sessions touched upon topics such as building cultures of experimentation, accelerating innovation at scale, and making data-driven product decisions. Whether you’re looking to refine your A/B testing strategies or elevate your engineering department into a hub of excellence, Flagship recordings offer real, actionable insights to help you apply data-informed product innovation today.

Watch every session here.

7 Months Post Acquisition: Split Is Now Integrating Into Harness

Flagship 2025 was a milestone moment for us. Seven months ago, Harness acquired Split with the vision to bring both platforms together to create a unified, end-to-end solution for managing the entire software development lifecycle.

The migration of Split customers onto the Harness platform is fully in motion, paving the way for a more streamlined software delivery experience. This means Harness users can leverage advanced feature management and experimentation, while existing Split users gain seamless access to the full array of Harness offerings—all under one secure, convenient platform.

Missed the details of this game-changing shift? Don’t worry—watch the opening session to understand how this integration is shaping the future of software delivery and DevOps modernization.

New Experimentation Capabilities to Keep You Measured

Since Split joined Harness, we’ve accelerated innovation at an unprecedented pace, boosting velocity by 70% and announcing new Experiment Workflows. 

At Flagship 2025, we gave a first look at these new capabilities, including enhanced customization for designing experiments and a comprehensive dashboard that gives teams real-time visibility into experiment performance. With these tools, you can measure every iteration without slowing down your teams. Because when you can measure everything, you can improve everything.

Hear Real-World Success Stories From Enterprises Like ADP

Flagship 2025 wasn’t just about product updates—it was about hearing from real companies who’ve successfully transformed their software delivery practices.

One standout story came from ADP, the world’s largest provider of human resources, payroll, and benefits outsourcing. Chris Davis, VP of Product Development, shared how ADP migrated from a DIY solution to a robust feature management and experimentation platform. 

Catch Chris’s session, “Beyond Lines of Code,” to hear how ADP made this leap while serving over 15 million users, and be sure to check out the newly released case study. 

Grab the Bull By the Toggle at Flagship 2025

If you’re ready to put your flag in the ground and take experimentation and release practices to the next level, watch Flagship 2025 on demand. The future of software delivery belongs to those who innovate boldly—don’t miss your chance to be part of the conversation.

Watch now and stake your claim on the future of feature management and experimentation.

Request a demo

Checkout Harness Feature Management & Experimentation

The CNCF just announced that Harness’s own Stephen Atwell will join Chris Crow from Portworx to present "Database DevOps: CD for Stateful Applications" at KubeCon in November. This session will discuss the intricacies of managing stateful applications within Kubernetes, leveraging Harness, Portworx, Liquibase, and Argo to automate data migrations and ensure consistent, repeatable deployments. We will be discussing practical approaches for making database DevOps a reality and share a real-world demo where we will walk through a database CD process live.

For those of you who saw Chris and Stephen’s talk at Data on Kubernetes Day last year, this talk expands the topic to encompass all of Database DevOps. Instead of just discussing the power of leveraging data within the DevOps pipeline, we will cover managing changes to databases, and database schemas, in a safe, reliable, and 0 downtime manner. These changes often slow down application delivery, and are high risk as data loss must be avoided. Similarly, crafting database schemas that can simultaneously support both the old and new application version is critical for all 0 downtime deployment strategies. This KubeCon talk will discuss database refactoring techniques and provide the foundational knowledge that you need to benefit from Database DevOps.

Want a sneak peak?

The Challenge of Stateful Applications

Stateful applications, which maintain persistent data across sessions, present unique challenges in a Kubernetes environment. Unlike stateless applications, which can be easily scaled and redeployed without concern for data persistence, stateful applications require careful management of data integrity and consistency. Depending on how your cluster’s storage is set up, when a new application pod starts, it may not have access to the old pod’s storage volume. Care must be taken to ensure storage is highly available, and that if a node goes offline, the new pods will have access to the old pods data.

Beyond Kubernetes all databases, regardless of operating environment, need to manage changes to their structures carefully to ensure data consistency and not slow down the delivery of the applications that use them. Traditional database management techniques often fall short, leading to deployment slowdowns and potential data inconsistencies. 

If software development teams lack database expertise, or must wait for a manual database change control process from outside the team, it hinders a company’s ability to compete. Agile software practices result in smaller but more frequent releases allowing companies to innovate faster. The success of agile is dependent on setting up highly empowered software development teams that can deliver code independently. Unfortunately, most applications have stateful components, and many organizations have manual database change processes. These manual processes slow down application delivery.

Additionally, the behavior of stateful applications often changes depending on the data in the database. At a prior company part of our release process involved cloning every customer’s database, and comparing the application's behavior on the old and new version to ensure consistency. We didn’t do this because we wanted to, but because it was the only way we could find a certain class of critical bugs. Back then we had to build a bespoke solution for this over several years. These days manipulating the database in your DevOps pipelines is finally becoming easy.

Database DevOps

Database DevOps bridges the automation gap surrounding stateful applications by integrating database changes into the CD pipeline. This ensures that both application code and database schema changes are versioned and deployed together. This approach not only enhances the reliability of deployments but also aligns database management with the principles of modern software development.

The benefits of integrating database changes into the CD pipeline include:

• Reducing Deployment Slowdowns: Streamlining your deployment process by managing database changes alongside application code enables your applications to ship new features faster. This increased innovation velocity provides your business with a competitive edge.
• Improving Data Consistency: Ensuring that your database schema changes are applied consistently across all environments reduces the risk of data-related issues. When changes are applied manually, sometimes they get missed– or the DBA uses a script that differs from the ones the developers originally tested with. These issues can lead to data inconsistencies and/or data loss, which often come with a steep cost to the business.

Join Us on This Journey and at Kubecon

Harness has been discussing the challenges unique to stateful applications with our customers for several years. Since we started building Database DevOps we’ve worked with over 30 customers to define the ideal solution. These customers have helped design our UIs, provided valuable feedback throughout our prototype and alpha phases, and regularly use Database DevOps to deploy their schema migrations. 

As we enter public beta, we invite you to join us as a design partner to shape the future of Database DevOps. Your insights and feedback are invaluable as we refine and expand the capabilities of this module. Together, we can make database changes as seamless and reliable as application code deployments. To join the beta, sign up here for a demo, and we’ll get you started. To learn more, view our product page, check out the documentation on the developer hub, or watch brand new demo videos on our YouTube playlist.

Want to learn more? If you are coming to KubeCon this year, we’d love it if you joined us on the journey of Database DevOps by attending the talk, or stopped by our booth to discuss your database DevOps challenges.

See you at KubeCon!

Request a demo

Learn more: Essential database DevOps tools, What is a DevOps Life Cycle

Checkout Harness Database DevOps