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AI/ML On-Demand Events
Artificial intelligence (AI) and machine learning (ML) are two fields that work together to create computer systems capable of perception, recognition, decision-making, and translation. Separately, AI is the ability for a computer system to mimic human intelligence through math and logic, and ML builds off AI by developing methods that "learn" through experience and do not require instruction. In the AI/ML Zone, you'll find resources ranging from tutorials to use cases that will help you navigate this rapidly growing field.
Databases On-Demand Events
A database is a collection of structured data that is stored in a computer system, and it can be hosted on-premises or in the cloud. As databases are designed to enable easy access to data, our resources are compiled here for smooth browsing of everything you need to know from database management systems to database languages.
DevOps and CI/CD On-Demand Events
The cultural movement that is DevOps — which, in short, encourages close collaboration among developers, IT operations, and system admins — also encompasses a set of tools, techniques, and practices. As part of DevOps, the CI/CD process incorporates automation into the SDLC, allowing teams to integrate and deliver incremental changes iteratively and at a quicker pace. Together, these human- and technology-oriented elements enable smooth, fast, and quality software releases. This Zone is your go-to source on all things DevOps and CI/CD (end to end!).
Performance On-Demand Events
Performance refers to how well an application conducts itself compared to an expected level of service. Today's environments are increasingly complex and typically involve loosely coupled architectures, making it difficult to pinpoint bottlenecks in your system. Whatever your performance troubles, this Zone has you covered with everything from root cause analysis, application monitoring, and log management to anomaly detection, observability, and performance testing.
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The future of incident response is machine-speed observability and the AI SRE
Presenter: Elastic
Cloud-Native Foundations: Kubernetes, Platform Engineering, and Distributed Operations at Scale
Presenter: Signadot
Create Resilient UI Tests Faster with TestComplete and AI
Presenter: SmartBear-TestComplete
The Cyber Resilience Act: What Waiting Is Costing US Software Teams
Presenter: Qt Group
Modernize Testing for Legacy and On-Prem Applications with TestComplete
Presenter: SmartBear-TestComplete
Artifact Governance: Why Trust Must Travel With Every Build
Presenter: Harness
From Cloud to AI: What Full-Stack Observability Means Now
Presenter: Datadog
Build More Resilient AI-Generated Tests with SmartBear Reflect
Presenter: Smartbear-Reflect
The Goldilocks Zone: Why Context Precision Wins the AI SRE Race
Presenter: Neubird.ai
