How insurers can use adaptive sprint automation to improve testing capabilities

When RFQs change, delays creep in; often costing teams weeks. But what if those changes could be analysed in minutes?   With AI-powered impact analysis, teams don’t just keep pace with updates, they anticipate them, cutting errors before they hit production. That’s the difference between firefighting and scaling with confidence.   🚀 Speed doesn’t have to come at the expense of precision.   Have you ever lost valuable time because change requests derailed your delivery?  .  #a-devops #devops #softwaredevelopment #automotivetechnician #techinnovation #software #automotiveindustry #techdriven #smartcompliance #devopssolutions #futureofai #realtimemonitoring

Most dev teams spend 40% of their release cycle on testing. And let’s be honest — it slows down innovation, frustrates developers, and delays product launches. That’s exactly why we built Autotester.ai . AI-powered test automation that helps you: --Cut regression testing time by up to 80% --Eliminate repetitive manual testing --Ship faster with fewer bugs We believe QA teams shouldn’t be stuck in endless test cycles — they should focus on quality strategy, not repetitive checks. If you’re curious how AI can speed up your release process, let’s connect. Happy to share a quick demo or insights from what we’re seeing across teams using Autotester.ai. 🔗 Autotester.AI #AITesting #QA #DevOps #Automation #SaaS #Productivity

🚀 From Days to Seconds: Transforming API Testing with Automation Your team shouldn’t have to wait days for testing. That’s why we helped implement automated API testing, turning a time-consuming manual process into a fast, reliable workflow: 💡 The Solution: - Full automated test suite running in under 30 seconds - Seamless integration into development workflow - Freed up team time to focus on building features 📈 The Results: - Testing time reduced from days to seconds - Significant resource savings and increased productivity - Early bug detection improved system reliability - Faster testing and deployment, supporting rapid feature delivery This demonstrates how strategic automation can improve efficiency, save resources, and boost overall product quality. 🔗 Read more success stories: https://lnkd.in/erH3QnCb #Automation #APITesting #DevOps #Productivity #SoftwareDevelopment #Innovation

Developers often think CI/CD is about speed. But it’s really about trust. When your pipeline validates everything, deploys safely, and never surprises you, the whole team starts shipping confidently. Speed comes after trust. That’s why we built a workflow that does this automatically: - Push → Staging - Tag → Production - Health check → Confidence CI/CD done right isn’t magic. It’s discipline, visibility, and trust. #DevOps #EngineeringLeadership #SoftwareEngineering #Automation

Beyond Catching Bugs: Observability-Driven Testing 🔄 – The Next Frontier for Proactive Quality. We talk extensively about "Shift-Left" to prevent bugs and "Shift-Right" for production monitoring. But what if we could bridge these two worlds to create a continuous feedback loop that proactively improves our testing efforts before a bug even escapes? Enter Observability-Driven Testing (ODT) – a powerful, yet often untapped, strategy for elite quality teams.🚀 It's not just about monitoring; it's about making your tests smarter by leveraging what your production system actually tells you.💡 How Observability Supercharges Your Testing (as shown in the loop): 1.Monitor & Observe (Shift-Right): Collect rich telemetry (logs, metrics, traces) from your live production environment. Understand how users interact, what paths they take, and where performance bottlenecks or errors actually occur. 2.Analyze & Learn: Dive deep into this production data. Identify the most frequently used user flows, critical business transactions, unexpected usage patterns, tricky edge cases, and areas of "silent failure" (where users struggle without explicit errors). 3.Prioritize & Create (Shift-Left Improvement): Based on production insights, you can now intelligently: 🔸Prioritize existing tests to cover critical paths. 🔸Design entirely new, targeted functional tests (unit, API, UI). 🔸Generate more realistic test data. 🔸Create more relevant performance and load tests. 🔸Refine test environment configurations to mirror production more closely. 4.Execute & Validate: Run these smarter, production-informed tests in your pre-production (development, staging, CI/CD) environments. This ensures your Shift-Left efforts are directly addressing real-world quality risks. The result? A continuous feedback loop. When production incidents occur, we trace them back, learn why our tests missed them, and feed that insight into step 3, making our testing strategy more robust with every cycle. ODT isn't just "Shift-Right" for ops; it's "Shift-Right" for better Shift-Left. It's about letting your live system teach you how to build and test more intelligently. Are you using your observability data to refine your test strategy? How has it changed your approach? #Observability #DevOps #QualityEngineering #ContinuousTesting #ShiftRight #TestAutomation #SRE #LinkedInLearning

𝑷𝒓𝒐𝒅𝒖𝒄𝒕𝒊𝒐𝒏 𝒄𝒓𝒂𝒔𝒉𝒆𝒔 𝒌𝒆𝒆𝒑𝒊𝒏𝒈 𝒚𝒐𝒖 𝒂𝒘𝒂𝒌𝒆 𝒂𝒕 3 𝑨𝑴? 😩 It might be time to embrace Shift-Right Testing – the approach that transforms your live application into a testing goldmine! 🔎 𝐓𝐫𝐚𝐝𝐢𝐭𝐢𝐨𝐧𝐚𝐥 𝐐𝐀 𝐮𝐬𝐮𝐚𝐥𝐥𝐲 𝐬𝐭𝐨𝐩𝐬 𝐚𝐭 𝐝𝐞𝐩𝐥𝐨𝐲𝐦𝐞𝐧𝐭. But Shift-Right extends testing into production with: ✅ Real-time monitoring ✅ User behavior analysis ✅ A/B testing & feature flags 💡 The result? Faster fixes, happier users, and up to 80% more bugs caught before they escalate. ✨E𝐱𝐚𝐦𝐩𝐥𝐞: An e-commerce company rolled out a new recommendation engine to just 10% of users using feature flags. Observability tools showed a 12% drop in cart abandonment, validating the feature and boosting revenue without risking a full rollout. ⚙️ 𝐏𝐫𝐨 𝐓𝐢𝐩: Start small with canary releases. Use monitoring tools like New Relic or Datadog for seamless production insights. 👉 𝐖𝐡𝐨 𝐡𝐞𝐫𝐞 𝐡𝐚𝐬 𝐚𝐥𝐫𝐞𝐚𝐝𝐲 𝐬𝐭𝐚𝐫𝐭𝐞𝐝 𝐬𝐡𝐢𝐟𝐭𝐢𝐧𝐠 𝐫𝐢𝐠𝐡𝐭 𝐢𝐧 𝐭𝐡𝐞𝐢𝐫 𝐐𝐀 𝐩𝐢𝐩𝐞𝐥𝐢𝐧𝐞? What challenges or wins have you seen? Let’s geek out together! #ShiftRightTesting #DevOps #SoftwareQuality #ProductionMonitoring #QATips #testing #pipeline #automation #CICD #crashes #production #quality #TestingPhase #SQA #Manual #

Shipping faster is easy. Shipping faster without hurting reliability is discipline. This diagram is our playbook for safe speed. CI CD creates versioned artifacts. Flags and canaries control blast radius. Infrastructure as Code gives reproducible environments. Drift is detected and fixed before it bites. Release and rollback are productized. Every deploy carries its own telemetry. Rollback is one step. Monitoring and logging feed SLO dashboards. Alerts include deploy metadata so the right owner acts with context. Result. Higher release frequency. Lower incident rate. Better customer experience. Can you roll back in one step today? Do your SLOs gate releases or only report them? Where do humans still repeat work that a pipeline should own? Agnotic Technologies #DevOps #PlatformEngineering #SRE #CICD #InfrastructureAsCode #Observability #Automation #CloudSecurity #EngineeringLeadership #ReliabilityEngineering #AgnoticTechnologies

In high-growth digital businesses, speed without quality is a false economy. Every delayed release or escaped defect isn’t just a QA issue, it’s a business risk: missed market opportunities, reduced trust, higher remediation costs. That’s why we believe QA should be treated as a strategic enabler, not a bottleneck. With Test Automation delivered as a service, organizations don’t just get faster test cycles. They get: ● A scalable model that grows with your business ● Predictable release velocity without trade-offs ● Confidence to innovate continuously We recently partnered with a digital collectibles platform to make this real. Their transformation wasn’t about tools; it was about creating a QA ecosystem that could keep up with ambition. That’s what we mean by driving quality at speed with automation as a service. Read the full case study to see how we made it happen: https://lnkd.in/gjTHAV4Z Saksham Sarode, Prasad Kamath, Kishor Sarode, Sugato Goswami, Sandeep Sudame, Rajesh Hiremath #TestAutomation #AutomationAsAService #QualityAssurance #QAAutomation #DigitalTransformation #ContinuousTesting #SoftwareTesting #AgileTesting #Innovation #TechTrends #DevOps #TechInnovation #DigitalBusiness #AutomationTesting #SpeedAndQuality #TestAutomationAsaService #QA #CX #customerexperience #functionaltesting #experiencetesting #QAecosystem #NewVision

Too many teams think, “If we automate more tests, quality will improve.” But automation alone doesn’t solve bad QA. Here’s why: Automating weak tests just speeds up weak results Without strategy, coverage is an illusion ROI comes from alignment with business goals, not volume of scripts I’ve seen SaaS teams spend six figures on automation. And still ship buggy releases. Automation is a tool. Process is the foundation. P.S. Do you think most teams measure QA success by the right metrics or just by how many tests they automate? #QAprocess #qainsights #testautomation #testingredefined #tools #QA #softwarequalityassurance #followme #bhfyp

If you’re still doing it manually — it’s already outdated. Automation isn’t about convenience anymore — it’s survival. The companies that win are the ones who stop treating automation like a “nice to have” and start using it as a force multiplier. Every hour you spend repeating a task, your competition is coding that task out of existence. I’ve watched automation reshape everything — from how we deploy services to how we think about scaling. It’s not about fewer humans, it’s about more human value. #Automation #DevOps #EngineeringLeadership #Productivity #FutureOfWork