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AWS Re:Invent 2021 guide: Multicloud modernization and digital transformation

Dynatrace

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.

AWS 229
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RSA 2022 guide: DevSecOps transformation with runtime vulnerability management

Dynatrace

In addition, as businesses of all kinds adopt cloud-native and open source technologies, their environments become more flexible. Cloud environment toolkits —microservices, Kubernetes, and serverless platforms — deliver business agility, but also create complexity for which many security solutions weren’t designed.

Strategy 225
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Vulnerability assessment: key to protecting applications and infrastructure

Dynatrace

Examples of such weaknesses are errors in application code, misconfigured network devices, and overly permissive access controls in a database. Static analysis of application code finds specific points in software that a hacker can exploit, such as SQL injection attacks. NMAP is an example of a well-known open-source network scanner.

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The top eight DevSecOps trends in 2022

Dynatrace

Indeed, according to one survey, DevOps practices have led to 60% of developers releasing code twice as quickly. But increased speed creates a tradeoff: According to another study, nearly half of organizations consciously deploy vulnerable code because of time pressure. Increased adoption of Infrastructure as code (IaC).

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How platform engineering and IDP observability can accelerate developer velocity

Dynatrace

As a result, teams can focus on writing code and building features rather than dealing with infrastructure nuances. They shouldn’t worry about the platform; they should just start writing code.” “IDPs are not constrained to building microservices or a new serverless app,” Grabner noted.

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Modern approaches to observability and monitoring for multicloud environments

Dynatrace

Key capabilities of the best observability solutions include: AI-powered insights — Evaluate millions to billions of data points automatically in seconds with causation-based AI that uses real-time statistical models and baselining to pinpoint root cause with code-level precision. Turning raw data into actionable business intelligence.

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What is observability? Not just logs, metrics and traces

Dynatrace

In these modern environments, every hardware, software, and cloud infrastructure component and every container, open-source tool, and microservice generates records of every activity. Metrics can originate from a variety of sources, including infrastructure, hosts, services, cloud platforms, and external sources.

Metrics 363