Cloud & DevOps

Cloud architecture

We design scalable, maintainable, expandable and cost-efficient cloud architectures to accommodate your software systems. Ranging from microservice architectures to data pipelines, we deliver robust and secure solutions that abide to industry standards and best practices.​

Cloud adoption and automation

Whether your organisation is completely new to cloud technologies or is looking to expand their existing cloud capabilities, we offer solutions to kickstart and standardise your cloud journey with tailormade landing zones, automated resource management with IaC (Infrastructure as code) practices and processes to get the most out of the cloud.​​

Cloud migrations

It is sometimes a necessity to move resources from on-premises or one cloud platform to another. We help to drive the process, identifying critical resources and mitigating the migration impact to daily work, setting up the necessary infrastructure and managing the stakeholder needs and timelines to make your migration project a success.​

Cloud governance

For many organisations, cloud adoption happens unplanned and unorganised, leaving the practices for managing resources, security and users inefficient, unorganised and unobservable. We help to establish the needed policies and practices so that your organisation can make both best use and sense of your cloud.

Observability

Many organisations lack the ability to monitor their cloud resources and even those who do, often find themselves monitoring without a focus, gathering large amounts of data but hindering their ability to act upon it. We help to build and improve your monitoring and alerting suite to have an agenda, focusing on your business needs, concentrating on data you can act and make decisions on and weeding out information that does not provide value.​

DevOps

From an inception of an idea to the production release, the stages and stakeholders in a
software development process are plentiful and so is the potential for things to go wrong. We
help our clients to identify the waste and toil in their processes, reduce handovers, automate
aspects that do not contribute to teams’ core purpose of value generation and make the
development and operations sides of business work in tandem and not against each other.​

Platform Engineering

Software development includes processes, practices and tools that don’t directly contribute
to dev teams’ main purpose: Generating value through better software. As software
development decentralises, your toolchains on the other hand should become centralised,
so that each of your developer teams can focus on building software, not building tools for
their team only. We bring in the product focus for building internal developer platforms
ensuring your developers have a platform they want to use.

Do Any of These Common Cloud & DevOps Issues Sound Familiar?​

Managing cloud resources is a manual effort and not repeatable
Creating and managing cloud resources is a manual effort done by individuals with high
administrative access. There is no visibility to the process. Resource configuration changes
undocumented over time, there is no versioning or an ability to roll back changes or to
recover in case of a disaster. No easy way to scale the existing resources.

Human intervention poses risks
Unscoped access permissions compromise the whole cloud environment if the credentials
get leaked, stolen or hacked. Manually created resources get forgotten, but keep accruing
costs. Misconfigurations balloon cloud expenditure and the mistakes are only caught when
the next invoice is received.​

Cloud environments are complex
Many cloud initiatives start with ad hoc solutions that become permanent. Managing cloud environments is a multi-disciplinary effort, but often worked on without an overarching plan. Making sense and best use of multi- and hybrid-cloud environments requires both fundamental and detailed knowledge and experience.​

Monitoring is unfocused
A lot of data is gathered but only a small part of it is actually used. Warnings and alerts fire,
but they are not acted upon and contribute to the noise. Monitoring practices don’t align with
business needs.​

Software teams spend a lot of time not writing code
Software teams have to build their own delivery and testing tools. Releasing and testing is
manual. Developers are forced to learn non-software development tooling.

Software delivery is slow
Feedback cycles take a long time with multiple handovers, teams have to rely on each other
to get work done and risk becoming bottlenecks for each other. Running and maintaining
software is detached from the development process even when it contributes to the majority
of the software-lifecycle costs.​

Lack of Data Utilization Strategy
Uncertainty about how to effectively leverage data for insights, automation, and business growth leads to missed opportunities.​