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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. Recovery time of the throughput metric.

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Implementing service-level objectives to improve software quality

Dynatrace

As more organizations embrace microservices-based architecture to deliver goods and services digitally, maintaining customer satisfaction has become exponentially more challenging. By implementing service-level objectives, teams can avoid collecting and checking a huge amount of metrics for each service. SLOs improve software quality.

Software 263
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Measuring the importance of data quality to causal AI success

Dynatrace

In AIOps , this means providing the model with the full range of logs, events, metrics, and traces needed to understand the inner workings of a complex system. Additionally, teams should perform continuous audits to evaluate data against benchmarks and implement best practices for ensuring data quality.

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What is application modernization? How to pick an application modernization strategy

Dynatrace

According to IBM , application modernization takes existing legacy applications and modernizes their platform infrastructure, internal architecture, or features. Document and benchmark existing applications, processes, and services. It’s important to create a baseline of metrics in an application modernization strategy.

Strategy 227
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What is FinOps? How to keep cloud spend in check

Dynatrace

Spiraling cloud architecture and application costs have driven the need for new approaches to cloud spend. Additionally, include benchmarks for stakeholders and best practices that support the anticipated growth of the organization as a whole. Further, a Flexera report found that small to medium-sized businesses spend approximately $1.2

Cloud 195
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What is infrastructure monitoring and why is it mission-critical in the new normal?

Dynatrace

AI-assistance: Use AI to detect anomalies and benchmark your system. Contextual information: Go beyond metrics, logs, and traces with UX and topology data to understand billions of interdependencies. This will allow your IT team to focus on what matters – proactive action, innovation, and business results.

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Plan Your Multi Cloud Strategy

Scalegrid

Adopting Infrastructure as Code (IaaC) makes transitioning to a multi-cloud architecture more efficient, allowing streamlined setup processes. Establishing clear service-level agreements is key as they outline specific responsibilities and performance benchmarks expected from cloud service providers during disaster recovery scenarios.

Strategy 130