Tags

The fundamental structures of a software system.

There is no cloud, only other peoples computers.

This tag is for anything relating to careers! Job offers, workplace conflict, interviews, resumes, promotions, etc.

Hopefully not just an afterthought!

Tag for content related to software performance.

An open-source container orchestration system for automating software deployment, scaling, and management.

More than just a cup of coffee, Java is a high-level, class-based, object-oriented programming language that is designed to have as few implementation dependencies as possible.

Amazon Web Services (AWS) is a collection of web services for computing, storage, machine learning, security, and more There are over 200+ AWS services as of 2023.

The dev.to tag for Microsoft Azure, the Cloud Computing Platform.

A statically typed, compiled programming language designed at Google

Articles related to networking.

An architectural and organizational approach to software development where software is composed of small independent services that communicate over well-defined APIs

All subjects concerning Hashicorp's IaC tool `Terraform`.

CI/CD pipelines and automation

Topics related to systems where components are on different networked computers.

Site Reliability Engineering principles, practices, and culture.

Building and running applications to take advantage of the cloud computing delivery model.

Discussions around Apache Kafka for building real-time data pipelines and streaming apps.

Use this tag for all bogs related to event-driven development, microservices, managing eventual consistency or modern architecture designs. You can also use this tag to write about technologies and products in the event-driven domain like Kafka, Solace PubSub+, Rabbit MQ, Tibco...etc or messaging protocols like MQTT, AMQP...etc

Gaining deep insights into system behavior through metrics, logs, and traces.

Discussions specific to Google Cloud Platform, its services, and best practices.

Infrastructure as Code practices using tools like Terraform, Pulumi, and OpenTofu.

Using and managing API gateways like Kong or Ambassador for routing and policies.

Strategies for managing and analyzing large volumes of logs efficiently with stacks like ELK or Loki.

The open standard for observability telemetry including traces, metrics, and logs.

Managing infrastructure and applications declaratively using Git as the source of truth.

The practice of collecting, storing, and analyzing system metrics, especially with Prometheus.

General discussions on building and maintaining reliable software systems.

Best practices for using Prometheus for monitoring and alerting at scale.

HTTP caching strategies

Scaling infrastructure and codebase

Building internal platforms to enable application developers to ship code faster and safer.

A common alias for Kubernetes, for general discussions and questions.

The practice of Cloud Financial Management to understand and optimize cloud spend.

A high performance, open-source universal RPC framework

Implementing and utilizing distributed tracing for debugging and performance analysis.

Nuanced discussions on monolithic architectures, their benefits, and when to use them.

Preparing for, conducting, and discussing system design interviews.

Practical applications and trade-offs of Consistency, Availability, and Partition Tolerance.

Discussions on building sustainable on-call rotations and reducing pager fatigue.

Best practices for responding to, managing, and learning from production incidents.

Discussions on the Argo project ecosystem, including ArgoCD, Workflows, and Events.

Architecting systems to securely and efficiently serve multiple tenants.

Writing and sharing blameless postmortems that drive meaningful improvements.

Defining, measuring, and acting on Service Level Objectives to balance reliability and features.

Discussing service mesh technologies like Istio and Linkerd for managing service communication.

Writing and communicating technical strategy documents and long-term vision.

Broader discussions on choosing and operating various data storage technologies.

Proactively testing system resilience by intentionally injecting failures.

Practical strategies and stories about reducing cloud infrastructure costs.

The art and science of designing complex software systems from the ground up.

Strategies and challenges of horizontally partitioning data across multiple databases.

Tools, techniques, and strategies for performance and load testing systems.

Discussions on consensus mechanisms like PoW, PoS, and others.

A specific tag for discussions about managing and understanding cloud bills.

Designing systems that can withstand and recover from failures gracefully.

The roles, responsibilities, and challenges of Staff, Principal, and Distinguished Engineers.

Best practices for designing, versioning, and managing robust REST and gRPC APIs.

Improving the developer experience through better tools, platforms, and processes.