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JavaOne: Debugging Java Applications Running in Docker

November 3, 2015 | Software Consultancy

JavaOne: Debugging Java Applications Running in Docker

My JavaOne experience was rather busy this year, what with three talks presented in a single day! The first of these talks “Debugging Java Apps in Containers: No Heavy Welding Gear Required” was delivered with my regular co-presenter Steve Poole, from IBM, and we shared our combined experiences of working with Java and Docker over the past year.

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Watch ‘Elastic Analytics with Spark, Mesos and Docker’

May 13, 2015 | Software Consultancy

Watch ‘Elastic Analytics with Spark, Mesos and Docker’

Listen to Brenden Matthews discuss Elastic Analytics with Spark, Mesos and Docker as filmed at the most recent London Mesos User Group Meetup.

In this talk, Brenden Matthews discusses how he provided elastic analytics to Airbnb and how the Mesosphere DCOS can easily bring the same type of infrastructure to your own environments.

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Locally Developing Micro-Services with Docker Compose

March 11, 2015 | Microservices

Locally Developing Micro-Services with Docker Compose

Docker ComposeOne of the pain points experienced with developing microservices is that it often proves too cumbersome to replicate an environment for local development. This usually means the first time an application talks to its “real” dependencies is when it gets deployed to a shared testing environment. A relatively laborious continuous integration process usually precedes this deployment, making our feedback cycle longer than we would like. In this post I describe a workflow that aims to improve that, using Docker and Docker Compose (formerly known as fig).

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Let’s Flink on EKS: Data Lake Primer

November 22, 2023 | Blog, Data Analysis

Let’s Flink on EKS: Data Lake Primer

Check out the latest blog by Our Senior Consultant Howard Hill where he offers an engineer’s guide to streamlining real-time data using an open-model infrastructure.

 

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Building the best Kubernetes test cluster on MacOS

May 18, 2023 | Blog, Kubernetes

Building the best Kubernetes test cluster on MacOS

Check out Matthew Revell-Gordon’s latest blog as he explores building a local Kubernetes test cluster to better mimic cloud-based deployments, using Colima, Kind, and MetalLB.

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Ingesting Big Data into Neo4j – Part 3

March 9, 2023 | Blog, Data Analysis, Neo4j

Ingesting Big Data into Neo4j – Part 3

Check out the last part of Ebru Cucen and Fahran Wallace’s blog series, in which they discuss their experience ingesting 400 million nodes and a billion relationships into Neo4j and what they discovered along the way.

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DZone Repost: Testing Serverless Functions

February 11, 2022 | AWS, Cloud, GCP, Kubernetes, Microservices, Open Source, Software Consultancy

DZone Repost: Testing Serverless Functions

Serverless functions are easy to install and upload, but we can’t ignore the basics. This article looks at different strategies related to testing serverless functions.

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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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Hacking Kubernetes on AWS (EKS) from a Mac

October 29, 2020 | Cloud, Kubernetes, Open Source

Hacking Kubernetes on AWS (EKS) from a Mac

While working with a client recently, we experienced some issues when attempting to make use of NLB external load balancer services when using AWS EKS. I wanted to investigate whether these issues had been fixed in the upstream GitHub Kubernetes repository, or if I could fix it myself, contributing back to the community in the process.

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Self-testing infrastructure-as-code

May 31, 2018 | DevOps

Self-testing infrastructure-as-code

As traditional operations has embraced the concept of code, it has benefited from ideas already prevalent in developer circles such as version control. Version control brings the benefit that not only can you see what the infrastructure was, but you can also get reviews of changes by your peers before the change is made live; known to most developers as Pull Request (PR) reviews.

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Fargate As An Enabler For Serverless Continuous Delivery

February 14, 2018 | Cloud

Fargate As An Enabler For Serverless Continuous Delivery

AWS Announced a few new products for use with containers at RE:Invent 2017 and of particular interest to me was a new Elastic Container Service(ECS) Launch type, called Fargate

Prior to Fargate, when it came to creating a continuous delivery pipeline in AWS, the use of containers through ECS in its standard form, was the closest you could get to an always up, hands off, managed style of setup. Traditionally ECS has allowed you to create a configured pool of “worker” instances, with it then acting as a scheduler, provisioning containers on those instances.

 

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A Pragmatic Introduction to Machine Learning for DevOps Engineers

January 23, 2018 | Data Engineering, DevOps

A Pragmatic Introduction to Machine Learning for DevOps Engineers

Machine Learning is a hot topic these days, as can be seen from search trends. It was the success of Deepmind and AlphaGo in 2016 that really brought machine learning to the attention of the wider community and the world at large.

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Writing a custom JupyterHub Spawner

January 11, 2018 | Data Engineering

Writing a custom JupyterHub Spawner

The last few years have seen Python emerge as a lingua franca for data scientists. Alongside Python we have also witnessed the rise of Jupyter Notebooks, which are now considered a de facto data science productivity tool, especially in the Python community. Jupyter Notebooks started as a university side-project known as iPython in circa 2001 at UC Berkeley.

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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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Testing a Spark Application

May 9, 2017 | Cassandra

Testing a Spark Application

Data analytics isn’t a field commonly associated with testing, but there’s no reason we can’t treat it like any other application. Data analytics services are often deployed in production, and production services should be properly tested. This post covers some basic approaches for the testing of Cassandra/Spark code. There will be some code examples, but the focus is on how to structure your code to ensure it is testable!

 

This blog is written exclusively by the OpenCredo team. We do not accept external contributions.

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What I Don’t Like About Error Handling in Go, and How to Work Around It

January 23, 2017 | Data Analysis

What I Don’t Like About Error Handling in Go, and How to Work Around It

More often than not, people who write Go have some sort of opinion on its error handling model. Depending on your experience with other languages, you may be used to different approaches. That’s why I’ve decided to write this article, as despite being relatively opinionated, I think drawing on my experiences can be useful in the debate. The main issues I wanted to cover are that it is difficult to force good error handling practice, that errors don’t have stack traces, and that error handling itself is too verbose.

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O’REILLY Ebook: CD

January 13, 2017 | Publications

O’REILLY Ebook: CD

In this Ebook, you will find detailed step-by-step instructions on how to containerize your Java apps, fit them into CD pipelines, and monitor them in production. By the end of the report, you will be on your way to deploying containerized Java apps to production.

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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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Kubernetes from scratch to AWS with Terraform and Ansible (part 2)

August 26, 2016 | Kubernetes

Kubernetes from scratch to AWS with Terraform and Ansible (part 2)

This post is the second of a series of three tutorial articles introducing a sample, tutorial project, demonstrating how to provision Kubernetes on AWS from scratch, using Terraform and Ansible. To understand the goal of the project, you’d better start from the first part.

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Is it Time for Your ‘Microservices Checkup’?

March 2, 2016 | DevOps, Microservices

Is it Time for Your ‘Microservices Checkup’?

Many of our clients are currently implementing applications using a ‘microservice’-based architecture. Increasingly we are hearing from organisations that are part way through a migration to microservices, and they want our help with validating and improving their current solution. These ‘microservices checkup’ projects have revealed some interesting patterns, and because we have experience of working in a wide-range of industries (and also have ‘fresh eyes’ when looking at a project), we are often able to work alongside teams to make significant improvements and create a strategic roadmap for future improvements.

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The Seven Deadly Sins of Microservices (Redux)

January 8, 2016 | Microservices

The Seven Deadly Sins of Microservices (Redux)

Many of our clients are in the process of investigating or implementing ‘microservices’, and a popular question we often get asked is “what’s the most common mistake you see when moving towards a microservice architecture?”. We’ve seen plenty of good things with this architectural pattern, but we have also seen a few recurring issues and anti-patterns, which I’m keen to share here.

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OpenCredo is now an Amazon Web Services APN Consulting Partner
Join OpenCredo at JavaOne in San Francisco

October 18, 2015 | DevOps, Microservices

Join OpenCredo at JavaOne in San Francisco

Microservices, Debugging Containers and Software Development Methodologies

Once again I’m privileged to be speaking at the premier Java conference, JavaOne in San Francisco. This year I will be presenting (at least) three conferences sessions: “Building a Microservice Ecosystem”, “Debugging Java Apps in Containers” and “Thinking, Fast and Slow, with Software Development”. I say ‘at least’ three talks as I usually get press-ganged volunteered into helping out at other talks and BoF sessions, but this is simply a sign of the great community spirit and a large group of friends involved with this conference!

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Join us at the Inaugural ContainerSched Conference

October 16, 2015 | Software Consultancy

Join us at the Inaugural ContainerSched Conference

Interested in Containers and Schedulers?

OpenCredo is helping Skillsmatter with the organisation of the inaugural ContainerSched conference, and we were last night in attendance at CodeNode, working our way to finalising the program alongside the Skillsmatter team. I’m pleased to say that the provisional lineup looks great (speaker acceptance emails are being sent out over the next few days), and so I wanted to share the details of some of the great content we have confirmed already.

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Microservice Platforms: Some Assembly [Still] Required. Part Two

September 20, 2015 | Microservices

Microservice Platforms: Some Assembly [Still] Required. Part Two

Working Locally with Microservices

Over the past five years I have worked within several projects that used a ‘microservice’-based architecture, and one constant issue I have encountered is the absence of standardised patterns for local development and ‘off the shelf’ development tooling that support this. When working with monoliths we have become quite adept at streamlining the development, build, test and deploy cycles. Development tooling to help with these processes is also readily available (and often integrated with our IDEs). For example, many platforms provide ‘hot reloading’ for viewing the effects of code changes in near-real time, automated execution of tests, regular local feedback from continuous integration servers, and tooling to enable the creation of a local environment that mimics the production stack.

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Terraform Infrastructure Design Patterns

September 14, 2015 | Cloud, DevOps

Terraform Infrastructure Design Patterns

If you are operating in the programmable infrastructure space, you will hopefully have come across Terraform, a tool from HashiCorp which is primarily used to manage infrastructure resources such as virtual machines, DNS names and firewall settings across a number of public and private providers (AWS, GCP, Azure, …).

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OpenShift Commons adds cloud to the OpenCredo offering
Microservice Platforms: Some Assembly [Still] Required. Part One

August 26, 2015 | Cloud

Microservice Platforms: Some Assembly [Still] Required. Part One

The challenges of building and deploying microservices

Unless you’ve been living under a rock for the last year, you’ll undoubtedly know that microservices are the new hotness. An emerging trend that I’ve observed is that the people who are actually using microservices in production tend to be the larger well-funded companies, such as Netflix, Gilt, Yelp, Hailo etc., and each organisation has their own way of developing, building and deploying.

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ContainerSched 2015 – Call for Papers Now Open!

August 16, 2015 | Kubernetes

ContainerSched 2015 – Call for Papers Now Open!

ContainerSched 2015

ContainerShed 2015Over the last few years there has been exponential growth in the interest of containers and schedulers – technology such as Docker, rkt, Mesos, and Kubernetes are now commonplace within the IT domain, and with the rise of microservices, these technologies are set to become even more popular. Skillsmatter are keen to drive forward the discussions and knowledge sharing within this area of technology, and have created a conference focused exclusively on containers and schedulers: ContainerSched!

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Boot my (secure)->(gov) cloud

August 10, 2015 | Cloud, Software Consultancy

Boot my (secure)->(gov) cloud

As a company, we at OpenCredo are heavily involved in automation and devOps based work, with a keen focus on making this a seamless experience, especially in cloud based environments. We are currently working within HMRC, a UK government department to help make this a reality as part of a broader cloud broker ecosystem project. In this blog post, I look to provide some initial insight into some of the tools and techniques employed to achieve this for one particular use case namely:
With pretty much zero human intervention, bar initiating a process and providing some inputs, a development team from any location, should be able to run “something”, which, in the end, results in an isolated, secure set of fully configured VM’s being provisioned within a cloud provider (or providers) of choice.

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The Past, Present and Future of Kubernetes

August 7, 2015 | Kubernetes

The Past, Present and Future of Kubernetes

Learning about the benefits of Kubernetes from the Kismatic Team

As part of my writing for InfoQ, I recently had the pleasure of sitting down and chatting with Joseph Jacks and Patrick Reilly from Kismatic Inc, a company offering enterprise Kubernetes support, and asked about their thoughts on the recent Kubernetes v1.0 launch, the history of the project, and how this container orchestration platform may impact the future of microservice deployment.

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Embracing Disruptive Innovation: OpenCredo Partners with Google

August 5, 2015 | Cloud, GCP, Kubernetes

Embracing Disruptive Innovation: OpenCredo Partners with Google

Why OpenCredo partnered with Google

Recently OpenCredo chose to partner with Google in order to share knowledge and resources around the Google Cloud Platform offerings. Our clients come in many shapes and sizes, but typically all of them realise three disruptive truths of the modern IT industry: the (economic) value of cloud; the competitive advantage of continuous delivery; and the potential of hypothesis and data-driven product development to increase innovation (as popularised by the Lean Startup / Lean Enterprise motto of ‘build, measure, learn’).

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Call for Thoughts
Round up from the Kubernetes London meetup / Vol.2
Join the London Mesos User Group to find out more about Elastic Analytics
OpenCredo and Container Solutions Partner to Deliver Emerging Technologies
How to Write Your Own Apache Mesos Framework?

February 16, 2015 | Software Consultancy

How to Write Your Own Apache Mesos Framework?

Apache Mesos is often explained as being a kernel for the data-centre; meaning that cluster resources (CPU, RAM, …) are tracked and offered to “user space” programs (i.e. frameworks) to do computations on the cluster.

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Visit us at QCon London 2015