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Implementing service-level objectives to improve software quality

Dynatrace

First, it helps to understand that applications and all the services and infrastructure that support them generate telemetry data based on traffic from real users. Dynatrace provides a centralized approach for establishing, instrumenting, and implementing SLOs that uses full-stack observability , topology mapping, and AI-driven analytics.

Software 256
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So many bad takes?—?What is there to learn from the Prime Video microservices to monolith story

Adrian Cockcroft

Then they tried to scale it to cope with high traffic and discovered that some of the state transitions in their step functions were too frequent, and they had some overly chatty calls between AWS lambda functions and S3. A real-time user experience analytics engine for live video, that looked at all users rather than a subsample.

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Cluster Diagnostics: Troubleshoot Cluster Issues Using Only SQL Queries

DZone

TiDB is an open-source, distributed SQL database that supports Hybrid Transactional/Analytical Processing (HTAP) workloads. For external reasons, application traffic may surge and increase the pressure on the cluster. Ideally, a TiDB cluster should always be efficient and problem-free. However, reality is often unsatisfactory.

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Build and operate multicloud FaaS with enhanced, intelligent end-to-end observability

Dynatrace

For example, to handle traffic spikes and pay only for what they use. Scale automatically based on the demand and traffic patterns. Higher latency and cold start issues due to the initialization time of the functions. The elasticity of serverless services helps organizations scale as needed.

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Data Reprocessing Pipeline in Asset Management Platform @Netflix

The Netflix TechBlog

Production Use Cases Real-Time APIs (backed by the Cassandra database) for asset metadata access don’t fit analytics use cases by data science or machine learning teams. Existing data got updated to be backward compatible without impacting the existing running production traffic. Error Handling Errors are part of software development.

Media 237
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Artificial Intelligence in Cloud Computing

Scalegrid

The partnership between AI and cloud computing brings about transformative trends like enhanced security through intelligent threat detection, real-time analytics, personalization, and the implementation of edge computing for quicker on-site decision-making. Key among these trends is the emphasis on security and intelligent analytics.

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How digital experience monitoring helps deliver business observability

Dynatrace

STM generates traffic that replicates the typical path or behavior of a user on a network to measure performance for example, response times, availability, packet loss, latency, jitter, and other variables). How automatic and intelligent AIOps makes DEM and business observability possible.