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Using OpenTelemetry and AI-powered observability to eliminate open source data silos

Dynatrace

Although many companies adopt solutions such as OpenTelemetry, Prometheus, and Grafana as part of their observability strategy, they often confront a common data analysis problem: data silos. As a solution, teams often adopt open source observability tools like OpenTelemetry to gain situational awareness of their cloud-native environments.

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Plan Your Multi Cloud Strategy

Scalegrid

A well-planned multi cloud strategy can seriously upgrade your business’s tech game, making you more agile. Key Takeaways Multi-cloud strategies have become increasingly popular due to the need for flexibility, innovation, and the avoidance of vendor lock-in. Thinking about going multi-cloud?

Strategy 130
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What is security analytics?

Dynatrace

Security analytics solutions are designed to handle modern applications that rely on dynamic code and microservices. Security analytics must also contend with the multicomponent architecture of modern IT infrastructure. Infrastructure type In most cases, legacy SIEM tools are on-premises.

Analytics 220
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How architecture evolves into strategy

O'Reilly Software

A look at the roles of architect and strategist, and how they help develop successful technology strategies for business. I should start by saying this section does not offer a treatise on how to do architecture. Vitruvius and the principles of architecture. Architecture begins when someone has a nontrivial problem to be solved.

Strategy 100
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10 tips for migrating from monolith to microservices

Dynatrace

Transforming an application from monolith to microservices-based architecture can be daunting, and knowing where to start can be difficult. Unsurprisingly, organizations are breaking away from monolithic architectures and moving toward event-driven microservices. Migration is time-consuming and involved.

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RSA guide 2024: AI and security are top concerns for organizations in every industry

Dynatrace

Additionally, blind spots in cloud architecture are making it increasingly difficult for organizations to balance application performance with a robust security posture. Therefore, these organizations need an in-depth strategy for handling data that AI models ingest, so teams can build AI platforms with security in mind.

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Why applying chaos engineering to data-intensive applications matters

Dynatrace

Stream processing One approach to such a challenging scenario is stream processing, a computing paradigm and software architectural style for data-intensive software systems that emerged to cope with requirements for near real-time processing of massive amounts of data. We designed experimental scenarios inspired by chaos engineering.