The Future of Mission-Critical Networks (APAC Region)
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Automation and AI: Autonomous, Secure, and Scalable Networks
Watch our 30‑minute preview webinar on 18th February at 4:00 pm CET where industry leaders reveal how service providers are transforming their networks to be autonomous, cloud‑ready, and future‑proof. Register today and meet us in Barcelona - Hall 2, Stand 2C42.
What feels different about enterprise IT operations today compared to even 3-5 years ago?
Speed isn’t the problem. Speed without shared visibility is. AI compressed release cycles, multiplied dependencies, and pushed accountability to teams who no longer own the full stack. The result? Faster change. Slower resolution. Higher risk. This is why MTTR is moving the wrong way...and why observability has to evolve. : Amit Rathi.
AI-Driven Automated Testing for Oracle Applications
As enterprises continue to change rapidly, businesses depend on Oracle-based ecosystems to track their finances, supply chains, HR, and customer operations. With the increase of digital transformation in companies, these environments continue to become more complex. As a result, manual testing is no longer enough for maintaining pace with ongoing updates, integrations and customizations that occur within an organization's systems. This is where AI-powered automated testing for Oracle applications revolutionizes how quality assurance is approached.
Simultaneous multi-cloud deployment to AWS and GCP with CircleCI
AWS recently experienced a significant outage. The outage took down major services, including parts of McDonald’s mobile ordering system, some Netflix features, and many other applications that relied solely on AWS infrastructure. This event perfectly illustrates why relying on just one cloud platform can be risky.
Self-Driving Data Highways: Realizing the Strategic Advantages of Autonomous IP Optical Networks at OFC26
In the telecom industry, leaders are under pressure to deliver more—more capacity, more agility, more reliability—while managing rising complexity with fewer resources. The network is the circulatory system of the modern telco, yet it’s still often operated like a patchwork of manual roads, each requiring constant human intervention. This model worked when traffic was predictable and growth was linear.
The Need for Clean in the AI Era
In the AI era, software and new models are being born at a breakneck pace—but they’re also bringing a lot of “baggage” into the world. While AI coding agents are busy accelerating innovation, they’re also excellent at generating a massive byproduct: “digital dust.” Between obsolete releases, orphaned dependencies, and massive model versions, your repository may soon start to look more like a digital junk drawer than a streamlined machine.
Getting started with Amazon Q Developer and CircleCI
AI coding assistants like Amazon Q Developer are transforming how you write software. They can generate entire functions, explain complex code, and help you move faster than ever. But there’s a catch: AI-generated code isn’t always correct. It can introduce subtle bugs, security vulnerabilities, or break existing functionality in ways that aren’t immediately obvious. That’s where continuous integration comes in.
SQL Query Optimization: Techniques That Actually Improve Performance
Find and fix slow SQL queries using execution plans, missing index detection, N+1 pattern fixes, and pagination strategies for PostgreSQL and MySQL. Product Marketing Manager.