Q&A with Kubernetes Founder Brendan Burns on Containers and Distributed System Patterns
InfoQ caught up with Brendan Burns, author of Designing Distributed Systems, Patterns and Paradigms for Scaleable Microservices. He talks about Distributed Systems patterns and how Containers enable it.
DevOps Workbench Launched by ZeroStack
Private cloud provider, ZeroStack, has announced a self-service capability from which developers can create their own workbenches. Forty developer tools from a mix of open source and commercial providers are available to users of the DevOps Workbench through Zerostack’s Intelligent Cloud Platform.
Entity Services is an Antipattern
In a microservice based architecture, it is important to keep the different services separated. Entity services is a common pattern now applied to microservices, but Michael Nygard claims that entity services is an anti-pattern that works against separation.
Event Sourcing in an Unreliable World
Examples of event sourced systems are often from process-oriented domains, like e-commerce, with incoming commands that generate events. But there are domains without processes that are intrinsically unreliable where we are collecting events from external event sources with transports that are unreliable, Lorenzo Nicora explained at the recent Microservices Conference µCon London 2017.
Observability and the Monitoring of Cloud-Native Applications
Cindy Sridharan summarizes her thoughts on observability and its relevance in monitoring cloud native applications in her recent article. Observability is a philosophy that encompasses monitoring, log aggregation, metrics and distributed tracing to gain deeper, ad-hoc insights into a system.
About the SOA Heritage Impact on Microservices
The heritage from SOA impacts the approach and design of a microservices architecture, how we select technology, and also the organisational aspects, Tareq Abedrabbo claimed at the recent Microservices Conference µCon London 2017. One example from his experience is that many organisations still have a separation between enterprise architects and developers.
Event Architectures and Event Streaming
When moving from a monolithic system to a distributed or microservices system, you commonly also move from a single source of truth in one database to many databases and thus many sources of truth. Using an event architecture and persisting all events as a stream can give back the single source of truth, Ben Stopford claims in one of a series of blog posts about events, event streams and Kafka.
Distributed Schedulers with Microservice Architectures
Martin Campbell, microservices scalability expert at DigitalOcean, talked about running a microservice based architecture with a distributed scheduler at MicroXchg Berlin 2017. He focused primarily on the problems encountered along the way, and the tradeoffs between offerings like Kubernetes, Nomad, and Mesos.
Process Managers in Event-Based Systems
Publishing events to notify about changes in a domain keeps different domains decoupled from each other, but if there really is a logical flow of events it becomes implicit and hard to follow. A better solution is to use a Process Manager to keep track of the overall process, Bernd Rücker stated in his presentation at this year’s DDD eXchange conference.
A Comparison of Mapping Approaches for Distributed Cloud Applications
An application map is a topology view of the components of a distributed application and the network or interprocess interactions between them. A recent article gives an overview of application mapping approaches adopted by various tools like AppDynamics, OpenTracing and Netsil.
FaunaDB: A New Distributed Database from the Team That Scaled Twitter
Former technical leaders from Twitter and Couchbase have created FaunaDB, a new general-purpose database.
Moving Deliveroo from a Monolith to a Distributed System
Deliveroo has grown dramatically the last years, both in terms of business and IT, and is facing a lot of technical challenges with its large monolithic application. The solution is to go distributed, but without microservices, Greg Beech noted in his presentation at the recent QCon London conference, describing their move from a monolith into a distributed system.
Concurrent and Distributed Programming in the Future
The world is concurrent with everything around us asynchronous and event oriented. Concurrency and the cloud are things every developer will have to deal with in the future, Joe Duffy claimed in his keynote at the recent QCon London conference. At the heart of this is communication, which is essential both for concurrent and distributed systems.
Enterprise Ethereum Alliance Releases Vision Paper
The newly formed Enterprise Ethereum Alliance has published a Vision Paper outlining “a vision for users and stakeholders to propose, implement, and integrate advances to the Ethereum protocol with support for Enterprise Ethereum protocols.” In this paper the EEA discusses many topics related to Pluggable Consensus, interoperability, Ethereum protocol updates, storage and performance.
Apache Flink 1.2 Released with Dynamic Rescaling, Security and Queryable State
Apache Flink 1.2 was announced and features dynamic rescaling, security, queryable state, and more. The release resolved 650 issues, maintains compatibility with all public APIs and ships with Apache Kafka 0.10 and Apache Mesos support. Flink’s dynamic rescaling allows one to change the parallelism of a streaming job or of an operator within the job.
