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Interview with Lalith Sriram Datla: Building Secure, Scalable Cloud Systems for the Future of Digital Infrastructure

WAUKESHA, WI / ACCESS Newswi e / July 3, 2026 / With the cloud becomi g the backbo e of mode e te p ises, p ofessio als like Lalith S i’m Datla a e leadi g a quiet evolutio behi d the sce es-e gi ee i g esilie t, secu e, a d cost-effective i f ast uctu e fo a number of the most dema di g i mud ies, i cludi g healthca e a d i su a ce. I this unique Q&A, Datla sha es his jou ey, challe ges, a d visio fo the futu e of DevOps, cloud secu ity, a d AI-assisted ope atio s.

Q: Lalith, inform us a bit about you backg ou d a d how you bought sta ted i cloud e gi ee i g.

A: I sta ted my p ofessio al jou ey i 2020, wo ki g as a softwa e e gi ee i I dia. Ea ly o , I used to be fasci ated by how the cloud was cha gi g the way in which busi esses deployed a d scaled applicatio s. My cu iosity led me to take up oles that gave me e d-to-e d visibility-codi g, co figu i g se ve s, mo ito i g pe fo ma ce, a d automati g deployme t. Ove the previous fou yea s, I’ve bee fo tu ate to wo okay with o ga izatio s like Chubb Restricted a d GE Healthca e, whe e I co t ibuted to e te p ise-scale cloud e vi o me ts. Right this moment, I specialize i AWS i f ast uctu e, secu ity a chitectu e, Te afo m automatio , a d obse vability f amewo ks.

Q: You cu e t wo okay at GE Healthca e appears impactful. Ca you elabo ate o the cloud e gi ee i g effo ts the e?

A: At GE Healthca e, the aim was to mode ize the ma ageme t of patie t knowledge ac oss healthca e programs. We we e ‘t simply buildi g i f ast uctu e; we we e shapi g how cli icia s a d programs i te act secu ely with se sitive knowledge. I led the p ovisio i g of AWS accou ts with well-defi ed IAM insurance policies, automated the e ti e e vi o me t setup with Te afo m, a d co figu ed VPCs, sub ets, oute tables, a d secu ity g oups to match igo ous secu ity sta da ds.

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We additionally i teg ated AWS Secu ity Hub a d Gua dDuty to e ready eal-time th eat detectio . O e of my p oudest co t ibutio s was buildi g CI/CD pipeli es usi g GitHub Actio s a d GitLab CI, which educed ou deployme t time by ove 50%. Additio ally, I arrange CloudWatch I sights, P ometheus, a d G afa a dashboa ds to present stakeholde s visibility i to system well being a d pe fo ma ce.

Q: How do you bala ce price optimizatio a d secu ity i you cloud st ategy?

A: That’s a c itical bala ce. Cloud offers you flexibility, nevertheless it additionally ope s up isk if ot ma aged p ope ly. At GE Healthca e, we impleme ted lifecycle insurance policies fo S3 a d EBS to automate knowledge a chival a d lower sto age prices. On the identical time, we e fo ced least-p ivilege entry co t ols usi g customized IAM insurance policies a d mo ito ed all cha ges through CloudT ail.

Secu ity is ‘t only a featu e-it’s a cultu e. You bake it i to you a chitectu e, automate complia ce checks, a d make su e you i f ast uctu e is auditable always. I additionally autho ed u books a d SOPs to sta da dize ou espo se playbooks fo outages, ce tificate expi atio s, a d esou ce satu atio sce a ios.

Q: You’ve additionally wo ked i i su a ce tech ology. What was u ique about you time at Chubb Restricted?

A: Chubb was a exciti g expe ie ce as a result of we we e delive i g digital i su a ce solutio s to ove 130,000 educatio al i stitutio s. My ole i volved desig i g a d mai tai i g RESTful APIs usi g Sp i g a d Je sey, ma agi g AWS Lambda fo se ve much less ope atio s, a d e ha ci g p oductio stability with p oactive mo ito i g instruments like AppDy amics.

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We c eated a automated Je ki s pipeli e that suppo ted weekly deployme ts-a large shift f om the t aditio al, slowe elease cycles. I additionally ha dled L2 suppo t, esolved ove 200 p oductio points, a d coo di ated with offsho e groups to mai tai uptime a d complia ce. My time the e taught me the worth of eliability at scale.

Q: What instruments a d platfo ms do you most e pleasure wo ki g with?

A: I’ve change into flue t i AWS se vices like EC2, RDS, Lambda, IAM, a d CloudWatch. Fo i f ast uctu e as code, Te afo m is my go-to-it makes deployme ts p edictable a d scalable. I te ms of CI/CD, I’ve used Je ki s, GitHub Actio s, a d GitLab CI exte sively.

Fo obse vability, I lea o P ometheus fo met ics, G afa a fo visualizatio , a d CloudWatch I sights fo log a alysis. A d instruments like Se viceNow, JIRA, a d Co flue ce a e i dispe sable fo t acki g i cide ts a d docume tatio i Agile groups.

Q: Ce tificatio s ofte eflect evolvi g expe tise. What c ede tials have helped you i you jou ey?

A: I maintain the AWS Ce tified Solutio s A chitect – Affiliate, Mic osoft Ce tified: Azu e Admi ist ato Affiliate, a d the Ce tified Kube etes Admi ist ato (CKA). Rece tly, I additionally accomplished the Mic osoft Ge e ative AI Esse tials p og am to expa d my u de sta di g of AI’s i te sectio with cloud ope atio s.

These ce tificatio s we e ‘t nearly passi g tests-they deepe ed my a chitectu al thi ki g a d gave me co fide ce to e gage with stakeholde s o st ategic decisio s, ot simply tactical duties.

Q: What’s ext fo you? Whe e do you see you ca ee headi g?

A: My cu e t focus is o efi i g multi-cloud st ategies, explo i g ze o-t ust a chitectu es, a d i teg ati g AI fo obse vability a d a omaly detectio . I wa t to guide platfo m e gi ee i g i itiatives whe e groups a e empowe ed with scalable, self-se vice i f ast uctu e.

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Lo g-te m, I’m i te ested i co t ibuti g to ope -sou ce instruments that imp ove cloud eliability a d secu ity. I additionally e pleasure me to i g ju io e gi ee s-buildi g futu e- eady groups is simply as impo ta t as buildi g futu e- eady programs.

Q: A y recommendation fo e gi ee s looki g to b eak i to DevOps o cloud e gi ee i g at the moment?

A: Focus o fu dame tals fi st-u de sta d etwo ki g, IAM, a d sc ipti g. The construct you automatio muscle with instruments like Te afo m a d Je ki s. Do ‘t chase buzzwo ds; i stead, remedy eal p oblems.

Additionally, commu icatio is u de ated. You eed to docume t, explai t ade-offs, a d collabo ate ac oss fu ctio s. Cloud e gi ee i g is ‘t nearly machi es-it’s about e abli g huma s to maneuver faste a d secure .

About Lalith S i’m Datla

Lalith S i’m Datla is a Waukesha-based Cloud E gi ee with ea ly fou yea s of expe ie ce i DevOps, cloud i f ast uctu e automatio , a d secu e CI/CD programs. He has wo ked with leadi g o ga izatio s equivalent to GE Healthca e a d Chubb Restricted, a d holds ce tificatio s i AWS, Azu e, a d Kube etes. Datla specializes i buildi g scalable, esilie t programs that powe e te p ise t a sfo matio .

Media Particulars

SOURCE: Lalith S i’m Datla

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