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When Amazon launched AWS Lambda in 2014, it ushered in a new era of serverless computing. Serverless architecture enables organizations to deliver applications more efficiently without the overhead of on-premises infrastructure, which has revolutionized software development. Its approach to serverless computing has transformed DevOps.
The advent of microservices and serverless computing means that cloud-based applications may consist of thousands of containerized services. Vulnerable and outdated components This is another broad category that covers libraries, frameworks, and opensource components with known vulnerabilities that may not have been patched.
To identify those that matter most and make them visible to the relevant teams requires a modern observability platform with automation and artificialintelligence (AI) at the core. Turning raw data into actionable business intelligence.
In these modern environments, every hardware, software, and cloud infrastructure component and every container, open-source tool, and microservice generates records of every activity. Observability is also a critical capability of artificialintelligence for IT operations (AIOps).
The open-source observability framework, OpenTelemetry , provides a standard for adding observable instrumentation to cloud-native applications. It must provide analysis tools and artificialintelligence to sift through data to identify and integrate what’s most important.
Source: web.dev 2. Artificialintelligence and machine learning Artificialintelligence (AI) and machine learning (ML) are becoming more prevalent in web development, with many companies and developers looking to integrate these technologies into their websites and web applications.
Millions of lines of code comprise these apps, and they include hundreds of interconnected digital services and open-source solutions , and run in containerized environments hosted across multiple cloud services. Digital teams use APM tools to view and address the many variables that can impact an application’s performance.
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