Anblicks

AI is transforming how we approach testing in IoT, but are we testing the right things first?

As IoT ecosystems become more connected and complex, exhaustive testing isn't always practical. A smarter approach is AI-powered Risk-Based Testing (RBT).

Our latest blog explores how AI helps QA teams:

✅ Identify high-risk components faster
✅ Prioritize test cases based on business impact and failure probability
✅ Optimize testing effort without compromising quality
✅ Improve release confidence in dynamic IoT environments

By combining AI-driven insights with risk-based testing strategies, organizations can focus on what matters most—delivering secure, reliable, and high-performing IoT solutions.

Read the full blog here: https://www.anblicks.com/blog/risk-based-testing-with-artificial-intelligence-in-iot-projects/

New Whitepaper: Snowflake OpenFlow Setup in AWS

As organizations continue to scale their cloud, data, and AI initiatives, secure and governed data movement has become more important than ever.

We've published a comprehensive implementation guide that walks through deploying Snowflake OpenFlow on AWS using a Bring Your Own VPC (BYO-VPC) architecture and AWS PrivateLink for secure, private connectivity.

In this complete guide, you'll learn how to:
✅ Configure Snowflake OpenFlow prerequisites and integrations
✅ Deploy OpenFlow in your AWS environment using CloudFormation
✅ Set up AWS PrivateLink and Route 53 for private connectivity
✅ Implement networking and security best practices
✅ Validate and operationalize your deployment
✅ Understand key AWS quotas and deployment considerations

Whether you're a Cloud Architect, Data Engineer, Snowflake Administrator, or Platform Engineer, this guide provides practical, step-by-step instructions to help accelerate your OpenFlow deployment journey.

Download the Whitepaper here: https://www.anblicks.com/insights/whitepapers/snowflake-openflow-setup-in-aws/

Legacy systems don’t just slow you down; they quietly limit how far your business can grow.

We recently partnered with a long-established U.S. distribution enterprise struggling with fragmented data, manual reporting, and an aging ERP that couldn’t meet modern demands.

The shift? From reactive operations to real-time intelligence.

Here’s what changed:
→ Reports generated in 1 day instead of weeks/months
→ Real-time visibility into operations and productivity
→ A scalable, cloud-native foundation ready for future growth

Read the full Success Story: https://www.anblicks.com/insights/success-stories/turning-manual-reporting-into-a-cloud-native-real-time-data-platform/

Is your API automation framework actually testing APIs... or just keeping itself alive?

APIs evolve fast. Test scripts don't.

Soon, teams spend more time maintaining automation than testing.

What if Swagger could do more than document APIs—and automatically generate, execute, and analyze tests as APIs change?

In this guide, we explore:
✅ Why traditional API automation becomes unsustainable at scale
✅ How Swagger can become the single source of truth for testing
✅ The architecture of an autonomous API testing framework
✅ Where AI delivers the highest value in API validation
✅ The critical areas where human QA expertise remains irreplaceable
✅ The hidden Swagger quality issues most teams discover too late

Read the full guide here: https://www.anblicks.com/blog/advanced-software-testing-life-cycle-stlc-with-autonomous-ai/

AI is transforming software development across the enterprise but are you using the right approach?

⚡ Vibe Coding: Prompt, generate, review, deploy. Fast and ideal for experimentation.
📋 Spec-Driven Development: Requirements, specs, approvals, and traceability. Built for scale, governance, and long-term success.

The goal isn't to choose one over the other, it's knowing when to use each.

Use vibe coding for exploration. Use spec-driven development for delivery.

Read Jatin Patel's latest blog to learn how teams can balance speed, quality, and maintainability in the age of AI.

Read the full blog here: https://www.anblicks.com/blog/vibe-coding-vs-spec-driven-development-why-you-need-both/

Different cultures, different languages, but one heartbeat that echoes Jai Hind! 🇮🇳 Let’s cherish and protect the unity of our incredible nation.

Happy Independence Day!

Your monitoring tools tell you what happened. Amazon Q helps you understand why.

Modern DevOps teams generate massive volumes of logs, metrics, deployment records, and infrastructure data. The challenge isn't collecting data anymore; it's connecting the dots fast enough to resolve incidents before they impact the business.

In our latest guide, we explore how Amazon Q brings AI-powered reasoning to DevOps by:

✅ Correlating logs, metrics, deployments, and infrastructure changes automatically
✅ Accelerating root cause analysis and incident response
✅ Identifying IaC misconfigurations before they reach production
✅ Helping teams reduce Mean Time to Hypothesis (MTTH) and improve operational efficiency

The future of DevOps isn't more dashboards; it's faster answers.

Read the full guide here: https://lnkd.in/g-WSfb94

Ever seen a map start flickering after a browser update and wondered where to even begin debugging?

This blog dives into a real-world WebGL debugging journey, uncovering how browser rendering changes, GPU behavior, and map layers can create unexpected visual glitches in production applications.

A great read for developers working with WebGL, interactive maps, and high-performance web applications.

Key takeaways:
✔️ Real-world WebGL debugging insights
✔️ Understanding rendering pipeline challenges
✔️ Browser compatibility considerations
✔️ Practical troubleshooting approaches for map flickering issues

Read the full blog here: https://lnkd.in/dQk9Q_2N

Is your infrastructure capable of self-healing, or are your engineers trapped in a cycle of manual firefighting?

Achieving true resilience requires more than just robust tooling. It demands a fundamental shift toward automation and proactive system health.

We explore how to bridge this gap:

✅ How Chaos Engineering moves resilience from theory to practice.
✅ Why automated responses are the key to reducing MTTR from hours to seconds.
✅ The cultural transition from "fixing" to "building."

Read the full blog here: https://www.anblicks.com/blog/self-healing-infrastructure-myth-or-reality/

Production reliability is critical for modern cloud applications.

Our latest blog explores practical AWS deployment strategies that help improve resilience, reduce downtime, and strengthen operational stability.

Key highlights:
✔ Blue-Green, Canary & Rolling deployments
✔ Reduced deployment risk and faster rollback
✔ Improved production stability
✔ AWS-native reliability practices
✔ Better support for continuous delivery

A useful read for DevOps, SRE, and platform engineering teams building resilient cloud-native systems.

Read the full blog here: https://www.anblicks.com/blog/strengthening-production-reliability-on-aws/