Splunk Community Spotlight: Meet Shah on Community Mentorship, Architecture Optimization & .conf26

Welcome to another edition of our Splunk Community Spotlight! In this post, we’re sitting down with Meet Shah, Principal SIEM Engineer and one of the youngest members of the SplunkTrust, to talk about his journey from a 2018 intern to managing petabyte-scale clusters. Meet shares real-world use cases across automotive, retail, and banking environments, breaks down how he uses Edge Processor and SmartStore to optimize architecture, and offers invaluable advice on why pushing back on flawed architecture early is the secret to great consulting. Whether you're looking for practical platform tuning tips or looking forward to catching his sessions at .conf26, there’s plenty of wisdom here to level up your Splunk game!

The Journey: From Intern to Principal SIEM Engineer

What’s the most satisfying part of your 'day in the life' as a Principal SIEM Engineer?

The most satisfying part of my day is helping users turn raw data into actionable insights. I work with customer teams across multiple organizations who come in with just data and Splunk, wanting a dashboard that tells a story or an alert that catches what matters. Watching them extract real value out of billions of events and fields never gets old. The other part is the scale itself—maintaining a cluster that ingests terabytes of data every single day from different teams, serving hundreds of users. There's something genuinely satisfying about stepping back and realizing how much is running smoothly underneath it all.

How did you get involved with this work?

It all started in 2018, when I joined Crest Data Systems as an intern, working as a contractor with Splunk in an SRE role. Using tools like Ansible, Terraform, Git, and Puppet, I helped with Splunk Cloud maintenance across TA installs, Splunk upgrades, and SmartStore architecture migrations. From there, I moved into Admin-on-Demand (now On-Demand Services) and Professional Services, and over four years worked with 100+ customers on short-term engagements specifically around the Splunk Platform and Enterprise Security, plus several long-term engagements across industries like retail, automotive, and banking. Every time I see the Splunk login screen, it still feels like yesterday when I was just figuring out what Splunk even was. I went from user to consultant to ES-accredited, picking up certifications along the way, and I haven't stopped since.

What has fed your interest in your work?

Data. I remember watching the Dubai Airport case study early on YouTube and being amazed at how broad Splunk's use cases could get; from monitoring Wi-Fi access to their "golden bathroom" project for maintaining restrooms. That range stuck with me. Being part of the On-Demand Services and Professional Services teams let me work directly with customers on a wide variety of use cases, especially around security, and that hands-on exposure to real problems, across industries, is what's kept me curious. Outside work, I feed that same curiosity by staying close to the community, presenting at User Groups, competing in hackathons, and just seeing how differently people solve the same problems with the same platform.

Working with Splunk

How do you use Splunk in your role? For example, are there any interesting use cases you’ve experienced in using Splunk

My current role is to help customers with anything-and-everything Splunk—from a simple search query or a lookup issue, to building out a full use-case and dashboards and maintaining a petabyte-scale cluster. Some of the more interesting use cases I've worked on: an automobile company using Splunk to monitor robotic arms and production-line sensors in real time, building dashboards that flagged deviations in cycle time before they turned into full line stoppages. A retail customer needed dashboards and alerts to track sales, inventory sync, and web/app performance during Christmas peak traffic, where even a few minutes of slowdown meant real revenue loss. And for a bank, I built alerting around payment transaction flows across the EU region, catching failed or delayed transactions early enough to prevent them from becoming compliance or customer escalations.

What was the specific problem you were trying to solve when you first found the Splunk Community?

I was building a search and got stuck on the streamstats command—needed help figuring out the right syntax for what I was trying to do. That's how I stumbled onto Splunk Answers, and I was amazed to see people showing up day after day, genuinely helping strangers work through their questions.

Can you tell us about a positive experience you’ve had with the community?

Plenty, honestly. Going back 5-6 years, I remember asking questions and getting answers within 3-4 hours—and today, most questions I run into are already answered somewhere in the community. It's not just Splunk Answers either; the Slack channels are just as active, where you can have a direct back-and-forth with experts in real time. Between the two, the community has saved me—and countless users around the world—more times than I can count.

What are your top 2 Splunk hot tips?

It might not be "hot-hot" per se, but I've seen a lot of customers not fully utilizing some key Splunk features, and those features end up undervalued.

1. Use the right combination of Edge Processor, Ingest Processor, and SmartStore for architecture + cost optimization: Don't just pick one—use them together. Edge Processor and Ingest Processor let you filter, mask, or route data before it ever hits an index, so you're only paying to ingest and store what actually matters. Pair that with SmartStore for your searchable tiers, and you get an architecture that's both leaner on license cost and easier to scale as data volume grows.
2. Workload management: Implement the right workload management rules to protect your infrastructure: Set the right set of rules and resource limits across teams so no single user or team's runaway search can starve the rest of the organization. It's less about restricting people and more about making sure everyone gets a fair, predictable slice of the cluster.

What’s the most surprising thing Splunk AI has helped you uncover?

The most surprising thing has been how much of a difference the underlying environment context makes. A lot of generic AI tools can help you write a search query in theory, but they don't know your actual indexes or sourcetypes—so you still end up guessing and correcting. Splunk AI Assistant, because it has visibility into your environment's context, can pick the right index and sourcetype on its own and build a far more accurate, efficient search from the start. That difference - context-aware AI versus generic AI—is what really stood out to me.

If Splunk AI were a teammate, what role would it play on your team?

The tireless junior analyst: Splunk AI would be the teammate who handles the repetitive first pass—drafting the initial SPL, summarizing findings across incidents, running the routine searches—so I can spend my time on the judgment calls that actually need a human.

What’s one problem you hope Splunk AI will help solve next?

I hope Splunk AI takes on more of the tedious first-mile work of onboarding new data sources—suggesting props.conf/transforms.conf configs, catching timestamp or event-breaking issues automatically, instead of that being a manual, trial-and-error process every time. Paired with that, I'd love to see it move toward self-healing pipelines—catching and auto-remediating common ingestion breakages, like a stalled forwarder or a parsing rule that silently breaks after a source format change, before anyone even notices data went missing.

Giving Back: SplunkTrust & Community Mentorship

As a member of the SplunkTrust, you’re part of the backbone of this community. What does being part of this trusted group mean to you personally and professionally?

Being part of SplunkTrust feels less like an award and more like a responsibility—a signal that people trust you enough to bring their toughest questions, and that trust comes with an obligation to keep showing up. Personally, it's a full-circle moment for me—going from someone asking basic questions on Answers years ago to now being recognized among the people who answer them. Being one of the youngest members of SplunkTrust adds another layer to that. It's proof that consistent contribution matters more than tenure, and I hope it encourages others earlier in their career to get involved without waiting to feel "senior enough."

The SplunkTrust is known for leveling up the rest of the ecosystem. How do you approach mentoring or helping newer users earn their own stripes in the community?

I try to answer questions in a way that teaches the "why," not just gives the fix—so newer users walk away understanding the underlying concept, not just copy-pasting a search. That's also part of why I ran the 5-session ES series for the Splunk Pune User Group and the 7-session Splunk 101 series for the Ahmedabad Splunk User Group, taking people from SPL basics all the way to administration—giving folks a structured, ongoing space to learn and ask questions, rather than relying on one-off answers that don't build toward anything.

What is your favorite part about collaborating with your fellow SplunkTrust members behind the scenes?

My favorite part is the unfiltered, practical brainstorming. Conversations skip the formalities, and it's a group of people who've seen enough real environments that we can get straight to "here's what actually works," without needing to justify the basics. What makes it even better is the cross-pollination across specialties—everyone comes from a different corner of the ecosystem, security, observability, platform, admin, so these conversations often turn into learning something completely outside your own specialty.

Local User Groups & Community Mentorship

What was the most memorable presentation or conversation you’ve had at a local User Group meeting?

One of the most memorable moments was during the ES series for the Pune User Group, when the Q&A ran long because attendees kept connecting the dots in real time. Watching users go from treating data models as just another config step to actually understanding how they tie directly into faster detections, quicker threat intelligence matches, and overall search performance in ES—that "lightbulb moment" made the whole session worth it.

For someone nervous about attending their first local meetup, what’s one reason they should definitely show up?

The people you meet often become the peers you message directly when you're stuck months later—that network outlasts any single meetup, and it's worth showing up for that alone.

Hard-Earned Career Wisdom

What have you learned in the past year that you wish you had known when you started your career?

I've learned that technical depth alone isn't enough. As a consultant, it's just as important to speak up early about a flawed architecture or decision, even if it's not what the customer wants to hear in the moment. It's tempting to just let the customer proceed their way and course-correct later, but that almost always costs more time and rework down the line. It might feel harsh to push back at the start of an engagement, but staying straight with your experience and calling out the wrong direction upfront is what real consulting is about—it's a disservice to just go along with it and fix things after the fact.

Is there anything you’d like to shout out or elevate?

First and foremost, a shout-out to all the active community members who show up and answer anything and everything within a few hours - they're the real backbone of this community. I'd also like to acknowledge the folks at Crest who nurtured me over the years - specifically Malhar, Neha, Vismay, Dhruv, Jeet, Anant and Aditya. Followed by the team at NTT, especially Sid, Rohit and Vikas, and my current colleagues from UltraViolet Cyber - Atif, Ira, Cesar, Charles, Julie, Ryan, GS, Amar and others for all the support.

Beyond the Cluster: Classical Music, Travel & Hometown Roots

What are some of your favorite things to experience outside of work?

Outside of work, I've always had a strong pull toward Indian classical music. I used to play the tabla, and I still make time to sit with a good classical performance whenever I can. Travel is the other big one for me; there's nothing quite like exploring a new place to reset and come back with a fresh perspective.

What are you watching or reading right now?

Right now, I'm watching Suits. There's something oddly satisfying about watching Harvey navigate his way through impossible cases, and Jessica handling the firm and all the internal battles.

Who’s your favorite musical artist or band?

Given my love for Indian classical music and tabla, it has to be Zakir Hussain—his mastery is what first pulled me toward the instrument.

Would you like to give a shout-out to your hometown and a favorite local business there?

Yeah, my hometown is Nadiad, a Tier 3 town in Gujarat, India. It gives me a balanced life—easy commute to key cities and the airport, plus a great local community. Nadiad is also known across India for local specialties like puffs and chevdo (chavanu), and I appreciate the workers who put in the effort day in and day out to make and deliver these across the world, especially to Indian communities abroad.

Advice for Up-and-Comers & Strategic Playbooks

What advice would you give someone who is up and coming in your field of work?

Get involved with the community early. Don't wait until you feel "expert enough" to start asking questions on Answers or joining Slack channels; it accelerates learning far faster than working in isolation. At the same time, spend real time understanding the data itself, not just the tool. Talk to the subject matter experts behind the systems before you start building searches and dashboards. Try to build broader before you specialize—touch different areas like platform, Enterprise Security, and Observability, and work across different industries, before narrowing down; that range is what makes you genuinely useful later. And as you grow into more senior or consulting roles, get comfortable saying no early—flagging a wrong architecture or decision upfront, even when it's uncomfortable, saves everyone far more pain than going along with it and fixing it later.

That same principle applies when organizations flirt with moving off Splunk to try a different SIEM. In almost every case, it isn't worth it. Between the depth of Splunk's capabilities, the real cost and risk of migration, and the compromises teams end up making on detection quality just to make the switch work—it rarely pays off the way people expect. The smarter move you can advise as a leader is investing in getting more out of what they already have: optimizing at the field and event level, fixing the architecture, and leveraging native tools like Edge Processor, SmartStore, and Federated Search.

See Meet Live at .conf26 in Denver!

I'm also looking forward to presenting two sessions at .conf26: PLA1185 - "SPL2 Pipelines at the Edge" on building Edge Processor pipelines to filter, mask, and route data before it hits your index, and PLA1149 - "Workload Management That Works" on designing workload pools that protect critical searches from runaway ones.