Remove Metrics Remove Microservices Remove Network
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Can serverless fix fintech’s scaling problem?

CIO

To avoid creating too many microservices using serverless FaaS (Function-as-a-Service) patterns, we decided to align to an enterprise capabilities framework to help us define the number of components and leverage a domain-driven design approach. Scalability-wise, the metrics across the two systems showed parity. Operational efficiency.

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Transforming distribution: How Ingram Micro is becoming a platform business

CIO

To be a platform business, you need a network, demand, supply, data, and a customer experience that differentiates. These data and models then feed into intelligent headless engines, which use microservices to drive business logic both synchronously and asynchronously. These high-level metrics tie to every leaders objectives.

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How Netflix uses eBPF flow logs at scale for network insight

Netflix Tech

By Alok Tiagi , Hariharan Ananthakrishnan , Ivan Porto Carrero and Keerti Lakshminarayan Netflix has developed a network observability sidecar called Flow Exporter that uses eBPF tracepoints to capture TCP flows at near real time. Without having network visibility, it’s difficult to improve our reliability, security and capacity posture.

Network 131
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Azure container Apps: The future of Microservices in Azure?

Xebia

Kubernetes also offers great tools for autoscaling, recovery of failing containers, zero downtime deployments, and controlling the network within the applications with service meshes. Their focus was to build a solution that makes it easier for development teams to build Microservice architecture-based applications and deploy those to Azure.

Azure 130
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Best Practices for Enriching Network Telemetry to Support Network Observability

Kentik

Network observability is critical. You need the ability to answer any question about your network—across clouds, on-prem, edge locations, and user devices—quickly and easily. But network observability is not always easy. And even then, key questions— such as, Am I using my network resources effectively?

Network 105
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Reducing microservice overhead with shared libraries

CircleCI

The pros and cons of monoliths vs microservices. Faced with this issue, many organizations decide to break up the monolith into microservices. Breaking up the monolith into microservices. One new problem is the additional complexity and unreliability of network calls between services.

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Building Shared State Microservices for Distributed Systems Using Kafka Streams

Confluent

At Imperva, we took advantage of Kafka Streams to build shared state microservices that serve as fault-tolerant, highly available single sources of truth about the state of objects in our system. At the core of each shared state microservice we built was a Kafka Streams instance with a rather simple processing topology.