APIwiz

We’re excited to welcome Shane O'Connor to the APIwiz family. 🎉 Shane has spent the last 5+ years deep in the API and #DevTools space, specialising in developer-first GTM and PLG motions. He’s worked closely with enterprise teams across the stack and brings a sharp understanding of how modern API ecosystems actually operate. As he joins APIwiz as Head of Growth, Shane also shared why he chose to join APIwiz, his perspective on where the API market is headed, what most vendors still get wrong, and why this next phase of the industry needs a fundamentally different approach. We’re sharing a few highlights here, check out the full piece: https://lnkd.in/gmMZP5bd We're excited about what this means for the future of APIwiz and the kind of platform we’re building for modern enterprises. www.apiwiz.io

𝗬𝗼𝘂𝗿 𝗔𝗣𝗜 𝗴𝗮𝘁𝗲𝘄𝗮𝘆 𝘀𝗮𝘆𝘀 “𝗮𝗹𝗹 𝗴𝗼𝗼𝗱.” 𝗬𝗼𝘂𝗿 𝗲𝗻𝗴𝗶𝗻𝗲𝗲𝗿𝘀 𝗸𝗻𝗼𝘄 𝗯𝗲𝘁𝘁𝗲𝗿. Most gateways miss what actually breaks systems: • 70–80% of traffic never hits them • Multiple gateways = fragmented visibility • Shadow APIs go unnoticed until they don’t • Downstream failures hide behind 200 OKs 𝗧𝗵𝗲 𝗰𝗼𝘀𝘁? 𝗥𝗲𝗮𝗹 𝗼𝘂𝘁𝗮𝗴𝗲𝘀, 𝗿𝗲𝗮𝗹 𝗿𝗶𝘀𝗸, 𝗿𝗲𝗮𝗹 𝗺𝗼𝗻𝗲𝘆. 1-line takeaway: Green dashboards ≠ real observability. Read the full breakdown → https://lnkd.in/g33VdD8J #APIwiz #APIObservability #APIGateway #PlatformEngineering

Your API gateway dashboard says everything is green. Your incident war room says otherwise. 🚨 New blog is live: "𝗔𝗣𝗜 𝗚𝗮𝘁𝗲𝘄𝗮𝘆 𝘃𝘀 𝗠𝗮𝗻𝗮𝗴𝗲𝗺𝗲𝗻𝘁: 𝗧𝗵𝗲 𝗢𝗯𝘀𝗲𝗿𝘃𝗮𝗯𝗶𝗹𝗶𝘁𝘆 𝗚𝗮𝗽 (𝟮𝟬𝟮𝟲)”: https://lnkd.in/g33VdD8J 𝘔𝘰𝘥𝘦𝘳𝘯 𝘦𝘯𝘵𝘦𝘳𝘱𝘳𝘪𝘴𝘦 𝘨𝘢𝘵𝘦𝘸𝘢𝘺𝘴 𝘪𝘯𝘩𝘦𝘳𝘪𝘵 𝘧𝘰𝘶𝘳 𝘮𝘢𝘫𝘰𝘳 𝘣𝘭𝘪𝘯𝘥 𝘴𝘱𝘰𝘵𝘴 𝘵𝘩𝘢𝘵 𝘲𝘶𝘪𝘦𝘵𝘭𝘺 𝘥𝘳𝘢𝘪𝘯 𝘦𝘯𝘨𝘪𝘯𝘦𝘦𝘳𝘪𝘯𝘨 𝘵𝘪𝘮𝘦, 𝘪𝘯𝘤𝘳𝘦𝘢𝘴𝘦 𝘰𝘱𝘦𝘳𝘢𝘵𝘪𝘰𝘯𝘢𝘭 𝘤𝘰𝘮𝘱𝘭𝘦𝘹𝘪𝘵𝘺, 𝘢𝘯𝘥 𝘦𝘹𝘱𝘢𝘯𝘥 𝘴𝘦𝘤𝘶𝘳𝘪𝘵𝘺 𝘳𝘪𝘴𝘬: • Multi-gateway environments create fragmented visibility and configuration drift • Shadow APIs bypass governance and become hidden attack surfaces • Downstream failures happen beyond the gateway’s line of sight The result? 𝗟𝗼𝗻𝗴𝗲𝗿 𝗶𝗻𝗰𝗶𝗱𝗲𝗻𝘁 𝗿𝗲𝘀𝗼𝗹𝘂𝘁𝗶𝗼𝗻 𝘁𝗶𝗺𝗲𝘀, 𝗳𝗿𝗮𝗴𝗺𝗲𝗻𝘁𝗲𝗱 𝗼𝗽𝗲𝗿𝗮𝘁𝗶𝗼𝗻𝘀, 𝗵𝗶𝗱𝗱𝗲𝗻 𝗯𝗿𝗲𝗮𝗰𝗵𝗲𝘀, 𝗮𝗻𝗱 𝗺𝗶𝗹𝗹𝗶𝗼𝗻𝘀 𝗹𝗼𝘀𝘁 𝘁𝗼 𝗳𝗮𝗶𝗹𝘂𝗿𝗲𝘀 𝘁𝗲𝗮𝗺𝘀 𝗻𝗲𝘃𝗲𝗿 𝘀𝗮𝘄 𝗰𝗼𝗺𝗶𝗻𝗴. In the blog, we break down following and much more: → 𝗪𝗵𝘆 𝗴𝗮𝘁𝗲𝘄𝗮𝘆 𝘃𝗶𝘀𝗶𝗯𝗶𝗹𝗶𝘁𝘆 𝘀𝘁𝗼𝗽𝘀 𝘁𝗼𝗼 𝗲𝗮𝗿𝗹𝘆 → 𝗛𝗼𝘄 𝗼𝗯𝘀𝗲𝗿𝘃𝗮𝗯𝗶𝗹𝗶𝘁𝘆 𝗴𝗮𝗽𝘀 𝗲𝗺𝗲𝗿𝗴𝗲 𝗶𝗻 𝗺𝗼𝗱𝗲𝗿𝗻 𝗮𝗿𝗰𝗵𝗶𝘁𝗲𝗰𝘁𝘂𝗿𝗲𝘀 → 𝗥𝗲𝗮𝗹-𝘄𝗼𝗿𝗹𝗱 𝗲𝘅𝗮𝗺𝗽𝗹𝗲𝘀 𝗼𝗳 𝘄𝗵𝗲𝗿𝗲 𝗶𝗻𝗰𝗶𝗱𝗲𝗻𝘁𝘀 𝗮𝗰𝘁𝘂𝗮𝗹𝗹𝘆 𝗳𝗮𝗶𝗹 → 𝗧𝗵𝗲 𝗼𝗽𝗲𝗿𝗮𝘁𝗶𝗼𝗻𝗮𝗹 𝗰𝗼𝘀𝘁 𝗼𝗳 𝗳𝗿𝗮𝗴𝗺𝗲𝗻𝘁𝗲𝗱 𝗔𝗣𝗜 𝗲𝗰𝗼𝘀𝘆𝘀𝘁𝗲𝗺𝘀 → 𝗪𝗵𝘆 𝗔𝗣𝗜 𝗠𝗮𝗻𝗮𝗴𝗲𝗺𝗲𝗻𝘁 𝘄𝗶𝘁𝗵𝗼𝘂𝘁 𝗱𝗲𝗲𝗽 𝗼𝗯𝘀𝗲𝗿𝘃𝗮𝗯𝗶𝗹𝗶𝘁𝘆 𝗶𝘀 𝗻𝗼 𝗹𝗼𝗻𝗴𝗲𝗿 𝗲𝗻𝗼𝘂𝗴𝗵 𝗶𝗻 𝟮𝟬𝟮𝟲 If you're building, securing, or scaling APIs at enterprise scale, this is a conversation worth paying attention to. Read the full blog Here: https://lnkd.in/g33VdD8J #API #APIGateway #Observability #Microservices #PlatformEngineering #APISecurity #DevOps #CloudNative #APIManagement #APIwiz

Why does Cloud API overspend compound quietly?  • Dev environments left running all weekend  • Premium tiers used for low-critical workloads  • Untagged endpoints with no ownership  • Resource limits bumped “just in case” and never revisited  Additionally, as AI agents invoke APIs autonomously, costs can spiral:  • Unchecked usage scales silently  • Rate limits and tier controls become critical  • Ownership metadata prevents orphaned spend APIwiz Policy as Code gives:  🔒 Security policy Enforcement  🏷️ Metadata tagging as part of the workflow 🚦 Layered guardrails at every step of API lifecycle  📊 Cost attribution with products and API portfolios  🤖 AI agent / API specific guardrails Are you using policy-as-code beyond compliance? visit: https://lnkd.in/gibqn8_Y to learn more #APIwiz #PolicyAsCode #APIManagement #PlatformEngineering #FinOps #CloudCostControl

𝗪𝗵𝘆 𝗱𝗼𝗲𝘀 𝗔𝗣𝗜 𝗼𝗯𝘀𝗲𝗿𝘃𝗮𝗯𝗶𝗹𝗶𝘁𝘆 𝗺𝗮𝘁𝘁𝗲𝗿 𝗶𝗻 𝘁𝗵𝗲 𝗮𝗴𝗲 𝗼𝗳 𝗔𝗜? Checkout our lattest blog to find out: https://lnkd.in/gy7msgDB API observability matters in the age of AI because LLMs, AI agents, and ML pipelines are multiplying API traffic, costs, and security risks faster than traditional monitoring can keep pace with. 𝘞𝘩𝘢𝘵 𝘈𝘐 𝘤𝘩𝘢𝘯𝘨𝘦𝘴 𝘢𝘣𝘰𝘶𝘵 𝘈𝘗𝘐 𝘰𝘣𝘴𝘦𝘳𝘷𝘢𝘣𝘪𝘭𝘪𝘵𝘺:  • Exponential growth in API call volume from AI agents and LLM integrations  • Unpredictable and fast-scaling cost patterns from token-based pricing and task-based token consumption  • New attack surfaces, including prompt injection and data exfiltration via APIs  • Regulatory pressure from the EU AI Act, NIST AI RMF, and sector-specific mandates  • Cross-service complexity as AI workflows chain dozens of API calls per task

IT Manager in the Banking Industry gives APIwiz 4/5 Rating in Gartner Peer Insights™ API Management Market. Read the full review here: https://gtnr.io/9JdIV1Ej9 #gartnerpeerinsights

Operations Associate in the Banking Industry gives APIwiz 5/5 Rating in Gartner Peer Insights™ API Management Market. Read the full review here: https://gtnr.io/qrrjSH3SS #gartnerpeerinsights

Most teams still treat API observability as a debugging tool. That’s the mistake. 𝗪𝗵𝗲𝗻 𝗼𝗯𝘀𝗲𝗿𝘃𝗮𝗯𝗶𝗹𝗶𝘁𝘆 𝗺𝗮𝘁𝘂𝗿𝗲𝘀, 𝘁𝗵𝗲 𝗶𝗺𝗽𝗮𝗰𝘁 𝗶𝘀 𝘁𝗮𝗻𝗴𝗶𝗯𝗹𝗲:  • Incidents resolve faster because teams trace issues across services in seconds, not hours  • Infrastructure costs drop as over-provisioned and unused APIs become visible  • Compliance shifts from reactive audits to always-on readiness  • And most importantly, APIs finally get tied to revenue, not just traffic  • The market is already moving. 60% of organizations now consider their observability practices mature, and budgets are rising — not as an experiment, but because the returns are measurable. 𝘉𝘶𝘵 𝘵𝘩𝘦 𝘳𝘦𝘢𝘭 𝘴𝘩𝘪𝘧𝘵 𝘪𝘴𝘯’𝘵 𝘢𝘥𝘰𝘱𝘵𝘪𝘰𝘯. 𝘐𝘵’𝘴 𝘪𝘯𝘵𝘦𝘯𝘵. Observability is no longer about logs and dashboards — it’s about: → 𝘒𝘯𝘰𝘸𝘪𝘯𝘨 𝘸𝘩𝘪𝘤𝘩 𝘈𝘗𝘐𝘴 𝘨𝘦𝘯𝘦𝘳𝘢𝘵𝘦 𝘷𝘢𝘭𝘶𝘦 → 𝘜𝘯𝘥𝘦𝘳𝘴𝘵𝘢𝘯𝘥𝘪𝘯𝘨 𝘸𝘩𝘦𝘳𝘦 𝘮𝘰𝘯𝘦𝘺 𝘪𝘴 𝘣𝘦𝘪𝘯𝘨 𝘸𝘢𝘴𝘵𝘦𝘥 → 𝘗𝘳𝘰𝘷𝘪𝘯𝘨 𝘤𝘰𝘮𝘱𝘭𝘪𝘢𝘯𝘤𝘦 𝘸𝘪𝘵𝘩𝘰𝘶𝘵 𝘴𝘤𝘳𝘢𝘮𝘣𝘭𝘪𝘯𝘨 𝘧𝘰𝘳 𝘦𝘷𝘪𝘥𝘦𝘯𝘤𝘦 If you're still viewing observability as a backend concern, you're missing its biggest advantage. Want to learn more about business outcomes and the significance of API observability for various business units? Check out our lattest blog: https://lnkd.in/gZwg_gyB

𝗠𝗼𝘀𝘁 𝘁𝗲𝗮𝗺𝘀 𝘁𝗿𝗲𝗮𝘁 𝗔𝗣𝗜 𝗼𝗯𝘀𝗲𝗿𝘃𝗮𝗯𝗶𝗹𝗶𝘁𝘆 𝗮𝘀 𝗮𝗻 𝗲𝗻𝗴𝗶𝗻𝗲𝗲𝗿𝗶𝗻𝗴 𝗰𝗼𝗻𝗰𝗲𝗿𝗻. 𝗕𝘂𝘁 𝗳𝗼𝗿 𝘁𝗵𝗲 𝗖𝗙𝗢, 𝗶𝘁’𝘀 𝗮 𝗰𝗼𝘀𝘁-𝗺𝗮𝗻𝗮𝗴𝗶𝗻𝗴 𝘀𝘆𝘀𝘁𝗲𝗺. At APIwiz, we see a consistent gap, spend is visible, but what’s driving it isn’t. Without API observability:  • Zombie APIs keep consuming infra with zero business value  • Siloed teams duplicate APIs, doubling build + maintenance cost  • Tool sprawl eats productivity (and budget)  • And observability itself often costs 3–7× more than expected  • The bigger issue? No link between APIs and revenue. No clarity on:  • which APIs drive revenue  • which ones are just cost centers  • or the true cost-per-call across clouds and gateways  • API observability changes this equation. It gives CFOs:  • Cost attribution by API, team, and business unit  • Visibility into (and elimination of) zombie APIs  • Clear ROI → which APIs generate value vs drain resources  • From rising spend to accountable systems— that’s what API observability should enable. #APIObservability #FinOps #CFO #APIGovernance #Apiwiz