Triangu

Back from Next Valletta 🇲🇹 Two days full of energy, strong networking, and conversations that went far beyond small talk. One thing came up again and again during the event: many teams are looking for better cloud cost visibility without risking uptime or changing production environments. Great meetings, valuable insights, and many conversations we’re looking forward to continuing. As an AWS Advanced Consulting Partner, we work with iGaming companies on cloud cost optimization and scalable AWS infrastructure every day. If these challenges are on your agenda, let’s continue the conversation. 📧DM us or reach out at consult@triangu.com #NEXTValletta #NEXTSummitValletta #iGaming #AWS #FinOps #AWSPartner

How many times has your AI coding tool confidently built the wrong thing? Kiro takes a different approach to agentic development. Instead of flooding projects with files the moment you type a prompt, Kiro turns ideas into structured requirements, technical design, and traceable tasks before implementation starts. Agents then handle background work like tests, docs, cleanup, and optimization while engineers focus on decisions that actually require judgment. What stands out is not just the coding capability, but the structure around it. Most AI IDEs today are optimized for generating code quickly, while Kiro is optimized for reducing assumption drift through clearer requirements, persistent project context, controlled agent behavior, and traceable implementation. That matters because engineering teams still spend too much time not writing code, but recovering after AI loses context midway through development. As an AWS Advanced Partner, leveraging our understanding of how tools like Kiro function, we’re evaluating how they fit into real engineering workflows, especially for teams scaling faster than their DevOps capacity. 📅 Curious what this could look like for your AWS environment? Schedule a 30-min call with our AWS specialist —> https://lnkd.in/d8p6BfGv #Kiro #AWS #AgenticAI #AWSPartner #DevOps #SoftwareDevelopment #Triangu

Is your AWS setup really under control, or have you just never had a serious reason to check? A global Customer Lifecycle Management (CLM) platform came to us with a typical enterprise cloud reality: multiple teams, production workloads across AWS, and no consistent visibility into what was actually happening inside the environment. What looked stable on the surface was carrying real risk underneath: security gaps in IAM and network configuration, unclear reliability boundaries, no end-to-end observability, and operational processes that hadn't scaled with the platform. We ran a full AWS Well-Architected Framework Review, worked through what actually mattered, and handed them a prioritized roadmap instead of a list of problems to worry about later. The result? A governed, more resilient AWS foundation with a clear path from risk to maturity. 📅 Want to know what this looks like for your environment? Book a 30-min call with our AWS specialist — https://lnkd.in/d8p6BfGv #AWS #WAFR #CloudGovernance #CloudSecurity #WellArchitectedFramework #FinTech #Triangu

Most enterprise security teams are still manually correcting vulnerability severities that a single GitLab policy could handle automatically. A Critical finding in an internal batch job carries a completely different risk than a Critical in your public-facing payment API, but your vulnerability report treats them identically until someone manually works through each one. At enterprise scale, that manual correction compounds faster than any team can realistically keep up with. GitLab's severity override policies let you encode that context directly into the platform, so your report reflects your actual risk model rather than a theoretical one — automatically, on every default-branch pipeline run. We've put together 5 ways to fix misleading vulnerability severities with policy, covering everything from downgrading CVEs in internal services to applying org-wide risk models across hundreds of projects 👇 As a GitLab Select Partner, we've helped Banking, Telecom, and Energy teams move from manual triage to policy-driven vulnerability management without losing visibility in the process. Want to see how this fits your current security scanning setup?  Book a call with our GitLab specialist —> https://lnkd.in/d8p6BfGv #GitLab #DevSecOps #ApplicationSecurity #CyberSecurity

Your AI tools are moving faster than your governance can keep up, and that’s the real risk nobody is talking about. GitLab just deepened its integration with Anthropic, and this isn’t about better code suggestions. As a GitLab Select Partner, we see this shift firsthand — most enterprise teams are still not ready for AI operating inside their governance framework, not around it. For enterprise teams in Banking, Telecom, Energy, Government, and Large Manufacturing, this changes the default assumption. Claude-powered workflows now run directly through existing SDLC controls by merging requests, approvals, security scans, and audit logs. With Amazon Web Services and Google Cloud, AI execution stays aligned with existing IAM and compliance boundaries instead of expanding the risk surface. For CTOs, the question is no longer whether AI works, it’s whether it can be safely controlled at production scale🔐 Want to see how governed AI fits into the enterprise GitLab architecture? Book a call with a GitLab specialist —> https://lnkd.in/dwvdE_53  #GitLab #EnterpriseAI #GovernedAI #DevSecOps

20–40% unnecessary AWS spend is still surprisingly common across iGaming platforms. Not because teams lack expertise, but because cloud environments grow fast, peak traffic never really stops, and cost optimization keeps getting pushed behind delivery priorities. What this usually looks like in practice: 🟨 overprovisioned infrastructure 🟨 unused resources after high-load events 🟨 limited cost visibility across environments 🟨 FinOps recommendations sitting untouched in backlogs At Triangu, we help iGaming companies reduce AWS costs without disrupting performance, scalability, or uptime during critical periods. Our team will be at the NEXT Summit Valletta 2026 on May 27–28. If AWS optimization, FinOps, or infrastructure scaling are part of your focus this year — let’s connect🤝 #NextValletta #NEXTio #iGaming #AWS #FinOps

Are your teams still doing work that AI could own end-to-end today? AWS just crossed a line that most enterprise leaders haven't yet caught up with. On April 28, they unveiled autonomous AI agents that don't assist your team — they work alongside it: 🚀A hiring agent that conducts candidate interviews 24/7 without a single human keystroke. 🚀A supply chain agent that triages exceptions and resolves disruptions at 2 am without waiting for someone to log in. 🚀A patient engagement agent that handles clinical scheduling and follow-up autonomously. The shift for enterprise leaders isn't "should we experiment with AI" anymore. It's "which workflows do we delegate to agents, and where do we now focus our human talent?" As an AWS Advanced Partner, we help companies move from that question to an actual implementation plan. 📅 Want to understand what this means for your infrastructure and teams? Book a 30-min call with our AWS specialist —> https://lnkd.in/dwvdE_53 #AWS #AutonomousAI #AmazonConnect #GenerativeAI #AWSPartner #EnterpriseAI #Triangu

Is your trading infrastructure built to survive its busiest day? A financial trading client came to us with a complex multi-environment AWS infrastructure — 4 VPCs, multiple teams, live trading connections, and zero unified operational visibility. The risks were real: downtime during peak trading, manual deployments causing drift, no compliance automation, and credentials left unrotated. We rebuilt their CloudOps foundation: → Terraform IaC across all environments → CI/CD with dev validation before every prod deploy → CloudWatch + SNS on trading connectivity and VPN health → GuardDuty + CIS benchmarks automated → Secrets Manager rotation + SCPs locking production The result? See below 👇 Are you confident your cloud infrastructure could survive peak load without incident? Message us, and we'll walk through your setup together. #AWS #CloudOps #FinTech #TradingTech #InfrastructureAsCode #Terraform #AWSGovernance #Triangu

Atlassian Data Center has an end date. Have you chosen AWS yet? Since April 2026, new Data Center licenses are no longer available. March 2028 is the next hard deadline — no new apps, no new connectors, no expansion. The enterprises moving fastest aren't just avoiding the deadline — they're choosing Atlassian Cloud on AWS because of what they gain: → Accelerated access to sophisticated AI and enhanced security features → New ways of working that weren't possible on Data Center → Unlocked workflows and insights powered by AWS AI and analytics services → Simplified security, infrastructure, and integration, so teams focus on innovation, not overhead As an Atlassian Platinum Solution Partner and AWS Advanced Partner, Triangu handles the full migration, so your teams keep working while we move everything underneath them. If you don't have a migration timeline yet, that's exactly where we start. 📅 Book a 30-min migration review:  https://lnkd.in/erX987dV 👉 Learn more about Atlassian Data Center End of Life: triangu.com/atlassian/ #Atlassian #AWS #DataCenter #CloudMigration #AtlassianCloud #DataCenterEOL #AWSPartner #AtlassianPartner #EnterpriseIT

Are you overpaying for cloud infrastructure or struggling to scale without a dedicated ops team? Triangu is heading to Web Summit Vancouver, and we know how to fix it. May 11–14, our CTO, Roman Shuliakivskyi, will be on-site, joining thousands of founders, engineers, and tech leaders shaping what’s next in cloud and infrastructure. We help companies: ✦ Cut cloud costs by guaranteed 20–40% ✦ Ship 10x faster with automated CI/CD and IaC ✦ Run Kubernetes without a dedicated ops team ✦ Migrate to AWS with zero downtime and full compliance ✦ Automate Atlassian workflows with Rovo AI agents 📩 Attending Web Summit? Connect with Roman or book a meet here -> https://lnkd.in/dwZNYucr #WebSummitVancouver