article thumbnail

Netflix’s Distributed Counter Abstraction

The Netflix TechBlog

After selecting a mode, users can interact with APIs without needing to worry about the underlying storage mechanisms and counting methods. Let’s examine some of the drawbacks of this approach: Lack of Idempotency : There is no idempotency key baked into the storage data-model preventing users from safely retrying requests.

Latency 251
article thumbnail

Data privacy by design: How an observability platform protects data security

Dynatrace

.” Once data reaches an organization’s secure tenant in the software as a service (SaaS) cluster, teams can “also can exclude certain types of data with ease of configuration and strong defaults at storage in Grail [the Dynatrace data lakehouse that houses data],” added Ferguson. Encryption.

Design 246
Insiders

Sign Up for our Newsletter

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

article thumbnail

How to overcome the cloud observability wall

Dynatrace

In contrast to modern software architecture, which uses distributed microservices, organizations historically structured their applications in a pattern known as “monolithic.” ” A monolithic software application has a few properties that are important to understand.

Cloud 246
article thumbnail

Connect Fluentd logs with Dynatrace traces, metrics, and topology data to enhance Kubernetes observability

Dynatrace

Output plugins deliver logs to storage solutions, analytics tools, and observability platforms like Dynatrace. Detailed performance analysis for better software architecture and resource allocation. Processing plugins parse (normalize), filter, enrich (tagging), format, and buffer log streams.

Metrics 245
article thumbnail

Scalability?: ?Think in Terms Of TCO

DZone

The workload could refer to anything from an increase in users, storage, or a number of transactions. To make an easy-to-scale system, it is crucial to have an evolutionary way of thinking about the software development cycle.

article thumbnail

Open-Sourcing Metaflow, a Human-Centric Framework for Data Science

The Netflix TechBlog

The infrastructure should allow them to exercise their freedom as data scientists but it should provide enough guardrails and scaffolding, so they don’t have to worry about software architecture too much. both for compute and storage. Metaflow is a cloud-native framework. It leverages elasticity of the cloud by design?—?both

article thumbnail

Multi-tenants and Branches in Neon Serverless PostgreSQL

Percona

Tenants Multi-tenancy is a software architecture pattern where a single instance of a software application serves multiple tenants, allowing them to share resources like storage, processing power, and memory while maintaining separate, secure access to their respective data.