Why choose Apache Spark?
In the age of real-time computing, only the fastest businesses will excel. Apache Spark uses in-memory data processing to analyse incoming data quickly and efficiently, accelerating the pace and quality of data-driven operations and decision making.
Speed
Apache Spark has been designed to deliver optimum speed at all times, delivering large scale data processing 100x faster than Hadoop. The more quickly you can process incoming data, the sooner it can be put to work for profit-making activities.
Machine learning
Moving beyond MapReduce, Apache Spark also provides high level machine learning capabilities.
Real-time processing
Apache Spark is capable of processing an incoming stream of data in real time. This opens a range of possibilities to build cutting-edge solutions around IoT, log processing and any other application that needs to be operated in real time.
Fully Managed Apache Spark
Digitalis has extensive experience of specifying, configuring, deploying and optimising Apache Spark in production environments – in the Cloud and on premises.
The Digitalis fully managed service will look after the complete lifecycle of your Spark deployments. It is designed to be deployed how and where our customers need it to be without the need to build an in-house ops team. We integrate with your tools, processes and teams and can manage Apache Spark across all your environments and choices of infrastructure. Our team of experts will support your platform 24×7, tailoring the service to your enterprise processes and security requirements.
Deployed & managed where & how you want
Cloud – on premises – hybrid
The Digitalis fully managed service is designed to be deployed how and where our customers need it to be. We integrate with your tools, processes and teams. We can deploy and manage your Apache Spark jobs and piplines across all your environments and choices of infrastructure. Our team of experts will support your platform 24×7, tailoring the service to your enterprise processes and security requirements.
Public Cloud
Private Cloud
Kubernetes
Bare Metal
Our Fully Managed Service includes:
24x7 INCIDENT SUPPORT
MONITORING & ALERTING
PATCH MANAGEMENT
SLA ADHERENCE
SECURITY
CAPACITY MANAGEMENT
JOB TUNING & CONFIGURATION
TOOLING
Spark Consulting Services
We will assess your strategic goals and design Apache Spark services and applications to assist.
APACHE SPARK ARCHITECTURE
Deployment architecture
Security design
Capacity design
Disaster Recovery design
Performance optimisations
Patching & upgrade strategy
Observability design
APACHE SPARK IMPLEMENTATION DESIGN
Deployment automation
Security implementation
Patching & upgrade automation
Customer schema design and implementation
Operational Acceptance Testing
Performance Testing & Tuning
Disaster recovery process
Digitalis Blogs
What is Apache NiFi?
If you want to understand what Apache NiFi is, this blog will give you an overview of its architecture, components and security features.
Kafka Installation and Security with Ansible – Topics, SASL and ACLs
This blog shows you how and provides a fully working Ansible project on Github to install Kafka and manage its security.
K3s – lightweight kubernetes made ready for production – Part 3
Do you want to know securely deploy k3s kubernetes for production? Have a read of this blog and accompanying Ansible project for you to run.
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High-performance Apache Spark framework
Learn more about our Apache Spark deployments – and what we can do for your business.