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15 items found: Search results for "distributed event processing" in all categories x

The Three ‘R’s of Distributed Event Processing

January 25, 2017 | Cassandra

The Three ‘R’s of Distributed Event Processing

One of the simplest and best-understood models of computation is the Finite State Machine (FSM). An FSM has fixed range of states it can be in, and is always in one of these states. When an input arrives, this triggers a transition in the FSM from its current state to the next state. There may be several possible transitions to several different states, and which transition is chosen depends on the input.

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Event Replaying with Hazelcast Jet

February 13, 2017 | Data Engineering

Event Replaying with Hazelcast Jet

One of the stated intentions behind the design of Java 8’s Streams API was to take better advantage of the multi-core processing power of modern computers. Operations that could be performed on a single, linear stream of values could also be run in parallel by splitting that stream into multiple sub-streams, and combining the results from processing each sub-stream as they became available.

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Concursus: Event Sourcing for the Internet of Things

May 10, 2016 | Data Engineering, White Paper

Concursus: Event Sourcing for the Internet of Things

In this technical report, we present Concursus, a framework for developing distributed applications using CQRS and event sourcing patterns within a modern, Java 8-centric, programming model. Following a high-level survey of the trends leading towards the adoption of these patterns, we show how Concursus simplifies the task of programming event sourcing applications by providing a concise, intuitive API to systems composed of event processing middleware.

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Kafka vs RabbitMQ: The Consumer-Driven Choice

July 20, 2021 | Blog, Data Engineering, Kafka

Kafka vs RabbitMQ: The Consumer-Driven Choice

Message and event-driven systems provide an array of benefits to organisations of all shapes and sizes. At their core, they help decouple producers and consumers so that each can work at their own pace without having to wait for the other – asynchronous processing at its best.

In fact, such systems enable a whole range of messaging patterns, offering varying levels of guarantees surrounding the processing and consumption options for clients. Take for example the publish/subscribe pattern, which enables one message to be broadcast and consumed by multiple consumers; or the competing consumer pattern, which enables a message to be processed once but with multiple concurrent consumers vying for the honour—essentially providing a way to distribute the load. The manner in which these patterns are actually realised however, depends a lot on the technology used, as each has its own approach and unique tradeoffs. 

In this article we will explore how this all applies to RabbitMQ and Apache Kafka, and how these two technologies differ, specifically from a message consumer’s perspective.

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WebAssembly – Where is it going?

December 11, 2020 | Cloud, Cloud Native, Kubernetes, Microservices

WebAssembly – Where is it going?

“WebAssembly is a safe, portable, low-level code format designed for efficient execution and compact representation.” – W3C

In this blog, I’ll cover the different applications of Wasm and WASI, some of the projects that are making headway, and the implications for modern architectures and distributed systems.

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Kafka Connect – Source Connectors: A detailed guide to connecting to what you love.

July 30, 2019 | Blog, Kafka

Kafka Connect – Source Connectors: A detailed guide to connecting to what you love.

Writing your own Kafka source connectors with Kafka Connect. In this blog, Rufus takes you on a code walk, through the Gold Verified Venafi Connector while pointing out the common pitfalls

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Q&A with Cockroach Labs – creators of CockroachDB

October 24, 2017 | Data Engineering

Q&A with Cockroach Labs – creators of CockroachDB

Cockroach Labs, the creators of CockroachDB are coming to London for the first time since their 1.0 GA Release in May 2017. They will be taking time to talk about “The Hows & Whys of a Distributed SQL Database” at the Applied Data Engineering meetup, hosted and run by us here at OpenCredo.
We have been interested in CockroachDB for a while now, including publishing our initial impressions of the release on our blog. We thought this would be the perfect time to do a bit of a Q&A before the event! I posed Raphael Poss, a core Software Engineer at Cockroach Labs a few questions.

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OpenCredo Cloud Report: July 2017

July 11, 2017 | Cloud, Cloud Native

OpenCredo Cloud Report: July 2017

Over the years, OpenCredo’s projects have become increasingly tied to the public cloud. Our skills in delivering cloud infrastructure and cloud native applications have deepened and the range of cloud projects we are able to take on has grown. From enterprise cloud brokers to cloud platform migration in restricted compliance environments, our ability to deliver on the cloud is now a core component of our value proposition.

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[Past event] Devoxx

Join OpenCredo at Devoxx UK 2017 We are pleased to announce that we are sponsoring and attending Devoxx UK this year The Devoxx Family welcomes annually over 11,000 developers to events in Belgium, France, UK, Poland, Morocco & USA. Devoxx UK returns to London 11th – 12th May, 2017. They will again welcome amazing speakers and attendees for the very best developer content and […]

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[Past event] GOTO London 2016

GOTO London is back for the second year running to throw another great conference!   Creating a meeting place for software innovators and thought leaders from startups and enterprises, GOTO London will give you the opportunity to network with people all across different disciplines of software development! With 1 days workshops where attendees can go into depth with […]

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How Not To Use Cassandra Like An RDBMS (and what will happen if you do)

September 15, 2016 | Cassandra

How Not To Use Cassandra Like An RDBMS (and what will happen if you do)

Cassandra isn’t a relational database management system, but it has some features that make it look a bit like one. Chief among these is CQL, a query language with an SQL-like syntax. CQL isn’t a bad thing in itself – in fact it’s very convenient – but it can be misleading since it gives developers the illusion that they are working with a familiar data model, when things are really very different under the hood.

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[Past event] ThingMonk 2016

Running from the 12th-14th of September, ThingMonk brings together technologists and designers building core infrastructure for IoT for 2 days of great talks by industry practitioners. Join Tareq and Dominic Fox at ThingMonk 2016 and hear them talk about the event sourcing framework, Concursus!

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Patterns of Successful Cassandra Data Modelling

September 6, 2016 | Cassandra

Patterns of Successful Cassandra Data Modelling

A growing number of clients are asking OpenCredo for help with using Apache Cassandra and solving specific problems they encounter. Clients have different use cases, requirements, implementation and teams but experience similar issues. We have noticed that Cassandra data modelling problems are the most consistent cause of Cassandra failing to meet their expectations. Data modelling is one of the most complex areas of using Cassandra and has many considerations.

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Fulfilling the promise of Apache Cassandra performance

August 24, 2016 | Cassandra

Fulfilling the promise of Apache Cassandra performance

At OpenCredo we are seeing an increase in adoption of Apache Cassandra as a leading NoSQL database for managing large data volumes, but we have also seen many clients experiencing difficulty converting their high expectations into operational Cassandra performance. Here we present a high-level technical overview of the major strengths and limitations of Cassandra that we have observed over the last few years while helping our clients resolve the real-world issues that they have experienced.

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What’s new in Akka Persistence 2.4

October 28, 2015 | Software Consultancy

What’s new in Akka Persistence 2.4

Let’s have a quick look at the most interesting changes and new features that are now available to Akka users. As there are many new features to highlight in the new Akka release I will focus on those related to Akka Persistence first and cover other areas in a separate post.

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