Bringing Google inside your business means different things to different people. This whitepaper examines the potential transition to Google from five different perspectives. Download the whitepaper to better understand how it might impact on different roles in your business, including a CEO/CFO, CIO/COO, CTO, Head of Development, and Chief Marketing Officer (CMO).
Google solutions for business
CIO’s guide to open application development
Today, information pervades every interaction – and companies are grappling with how to extract business value from growing volumes of data. This need is driving faster software development cycles in which IT is expected to deliver new functionality continuously.
Latest thinkings
Kasna is proud to lead the way in the Google enablement for organisations large and small in Melbourne and across Australia. We also enjoy sharing our experience with others so that they can also harness the power of Google.
Our latest blog articles discuss…
Securing a Redis Server in Kubernetes
Wenjing Yan, Cloud Engineer at Kasna 7 Minute Read Redis is an open-source, in-memory data structure store or a key-value store used as a database, cache, and message broker. It…
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Google Cloud Data Fusion comparison with existing solutions
Written by Bruno Liberal de Araújo, Data Engineer at Kasna I’ve always enjoyed seeing tools that make tasks easier. Tools that bring more non-technical users close to specific areas like…
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Alright Node Pools, Which One of You is Dave?
Terraform’s create_before_destroy, random_id and keepers Zoe Higgins12 Minute Read I recently found myself in a bit of a pickle when managing GKE node pools. I was tasked with minimising node…
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Masking Personally Identifiable Information with Salt using Cloud Data Fusion
Written by Bruno Araujo at Kasna The first time I heard about Cloud Data Fusion (CDF) I thought of it as a good tool that would have helped me…
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Transitioning to the world of Google Cloud
By Anupam Phoghat Over the last decade, technology has evolved exponentially. Unlike the ‘old days’ (I mean the time before 2010) when a particular technology would remain at its…
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Kasna achieves Google Cloud Machine Learning Specialisation, recognising customer success
Tuesday 18 February 2020 – Google Cloud specialist, Kasna, has achieved the Machine Learning specialisation as part of the Google Cloud Partner Advantage program, recognising outstanding success in applying machine…
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Understanding the absence of women as DevOps and cloud engineers
Understanding the Absence of Women as DevOps and Cloud Engineers By Zoe Higgins Before I start - yes, I know. We all know that there are not very many women…
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Workshops
Cloud Acceleration
Kasna’s Cloud Acceleration Workshop quickly aligns various stakeholders on a plan to establish or uplift a cloud environment.
Data
Businesses are moving from descriptive statistics to analysing vast quantities of data, automating processes and guiding decision making in real time.
Training courses
| Course | Description | Target Audience | Format | Length | Skill Level |
|---|---|---|---|---|---|
| Kubernetes In Seven Steps | Using hands-on labs, demos and presentations, this course will introduce Kubernetes core concepts, deployment and administration of Kubernetes and the usage of the Google GKE service. This course will cover seven key learning steps: ● Getting started with Kubernetes ● Hello Kubernetes with GKE ● Building a complex cluster ● Monitoring and health checks ● Persistence and databases ● Security and access control ● CI / CD solutions This course assumes that the participant has some exposure to Google or Cloud technologies and can work with the command line, git and other development tools. | ● Cloud Solutions Architects, DevOps Engineers ● Software engineers | Classroom | 2 days | Advanced |
| API development with Istio | Designed for API developers, this is a hands-on introduction to the Istio service mesh, its key concepts, development model and extensions. The course will take a web application and supporting APIs that “work on my machine” and make them production ready using Istio. This course assumes that the API developer has a basic working knowledge of Kubernetes, are familiar with interacting with Kubernetes via kubectl, and can author and deploy standard Kubernetes resources such as Deployment, Service and Ingress. | ● Software Developers ● API Developers | Classroom | 2 days | Advanced |
| Machine Learning for Software Engineers | Introduces participants to the comprehensive and flexible infrastructure and platform services provided by Google Cloud Platform. Through a combination of presentations, demos, and hands-on labs, participants explore and deploy solution elements, including infrastructure components such as networks, systems and applications services. This course also covers deploying practical solutions including securely interconnecting networks, customer-supplied encryption keys, security and access management, quotas and billing, and resource monitoring. This course teaches participants the following skills: ● Consider the entire range of Google Cloud Platform technologies in their plans. ● Learn methods to develop, implement, and deploy solutions. ● Distinguish between features of similar or related products and technologies. ● Recognize a wide variety of solution domains, use cases, and applications. ● Develop essential skills for managing and administering solutions. ● Develop knowledge of solution patterns -- methods, technologies, and designs that are used to implement security, scalability, high availability, and other desired qualities. | ● Cloud Solutions Architects ● DevOps Engineers | Classroom | 1 day | Fundamentals |
| GCP BigData and Machine Learning | This one-day instructor-led course introduces participants to the big data capabilities of Google Cloud Platform. Through a combination of presentations, demos, and hands-on labs, participants get an overview of the Google Cloud platform and a detailed view of the data processing and machine learning capabilities. This course showcases the ease, flexibility, and power of big data solutions on Google Cloud Platform. This course teaches participants the following skills: ● Identify the purpose and value of the key Big Data and Machine Learning products in the Google Cloud Platform. ● Use Cloud SQL and Cloud Dataproc to migrate existing MySQL and Hadoop/Pig/Spark/Hive workloads to Google Cloud Platform. ● Employ BigQuery and Cloud Datalab to carry out interactive data analysis. ● Train and use a neural network using TensorFlow. ● Employ ML APIs. ● Choose between different data processing products on the Google Cloud Platform This class is intended for the following: ● Data analysts, Data scientists, Business analysts getting started with Google Cloud Platform. ● Individuals responsible for designing pipelines and architectures for data processing, creating and maintaining machine learning and statistical models, querying datasets, visualizing query results and creating reports. ● Executives and IT decision makers evaluating Google Cloud Platform for use by data scientists. | ● Data Engineers and Analysts ● Business Analysts | Classroom | 1 day | Fundamentals |
| Developing solutions for GCP | In this course, application developers learn how to design, develop, and deploy applications that seamlessly integrate components from the Google Cloud ecosystem. Through a combination of presentations, demos, and hands-on labs, participants learn how to use GCP services and pre-trained machine learning APIs to build secure, scalable, and intelligent cloud-native applications. This course teaches participants the following skills: ● Use best practices for application development. ● Choose the appropriate data storage option for application data. ● Implement federated identity management. ● Develop loosely coupled application components or microservices. ● Integrate application components and data sources. ● Debug, trace, and monitor applications. ● Perform repeatable deployments with containers and deployment services. ● Choose the appropriate application runtime environment; use Google Kubernetes Engine as a runtime environment and later switch to a no-ops solution with Google App Engine Flex. | ● Application Developers | Classroom | 2 days | Advanced |
