RightScale Product Updates: Azure Resource Manager Support for All Accounts, New Audit Entries in Cloud Management and More

RYAN O'LEARY | January 12, 2017

article image
Our January product updates include Azure Resource Manager support for all accounts, new audit actions available in Cloud Management, and a new server href option that simplifies the API call and/or Cloud Workflow code for managing your resources.

Spotlight

Testhouse Ltd

Testhouse is a thought and market leader in Software Quality Management, Application Lifecycle Management (ALM) and DevOps providing on-site, on-shore and off-shore test services either outsourced or on-demand, including consulting, software testing solutions and training services, focusing on traditional IT, mobile, cloud and the emerging internet of things platforms.

OTHER ARTICLES

Can edge computing solve the problems with organ donation

Article | March 17, 2020

We are currently in an era of cloud computing, where the infrastructure, hosting, machine learning and compute power of cloud providers deliver hosted access to a wide range of centralized services to process and manage our data.With edge computing, the processing and management of data happens closer to the actual source of the data, instead of the data first having to be sent to the cloud to be processed. A typical example would be for IoT devices to collect and transfer data to a local device that includes small-scale compute, storage and network connectivity for local processing of the data at the edge before being passed to the cloud.

Read More

Cloud computing the ultimate virus protection

Article | April 13, 2020

Cloud communications are playing a vital part in making remote work actually work, according to Nicholas Kyriakides, expert in cloud-based communications and COO of netTALK Connect. Kyriakides outlines why this is so.According to Kyriakides, cloud communications are playing a vital part in making remote work actually work. Such solutions have allowed companies to quickly turn to remote work to keep their employees safe while keeping operations going without any major obstacles.Kyriakides explains further that the current situation has created a great testing ground for the capabilities of remote work and cloud-communication use at a truly massive scale that could bring long-lasting changes about how we approach remote work and communication in business.Digital Journal spoke with Nicholas Kyriakides (netTALK Connect) about who to best implement cloud-based communications.

Read More

How To Derive Data Insights In Hybrid Cloud Model And Drive Innovation

Article | April 10, 2020

If you don’t completely understand hybrid cloud, you’re not alone. Organizations feel the pressure of being competitive by being innovative and adaptive due to changing infrastructure, changing strategies and changing technologies. Many businesses are looking to move their data centers to the cloud for obvious reasons like disaster recovery or increased capacity but importantly to bring in the digital transformation. Cloud has emerged as an enabler of success. Cloud computing has evolved over the recent years to fulfil the varied needs of organizations, even as each organization realizes that it has different cloud requirements. This gave birth to Hybrid Cloud environment with both public and private cloud services. Data is by-far the most important resource for organizations these days. This is where all the business lives. As organizations embark on strategic business initiatives to digital transformation, hybrid cloud model provides a wider data-centric view and seamless access to your data to produce insights by optimizing resource without compromising security. Table of Contents: - What is Hybrid Cloud? - Why Hybrid Cloud over other cloud options? - Gaining data insights in a Hybrid Cloud Environment - Leveraging data to power innovation in a Hybrid Cloud environment - In Conclusion What is Hybrid Cloud? Forrester research describes hybrid cloud as “One or more public clouds connected to something in my data center. That thing could be a private cloud; that thing could just be traditional data center infrastructure.” To put it simply, a hybrid cloud is a mash-up of on-premises and off-premises IT resources. To expand on that, hybrid cloud is a cloud-computing environment that connects a mix of public cloud, private cloud and on-premises infrastructure. A key advantage to this model is that it allows workloads and data to travel between private and public clouds as demands and costs change, providing businesses with the flexibility they need. There is not a single hybrid cloud model that works for every organization and every model should fit the unique needs of each company. By allowing multiple deployment models in a hybrid cloud, organizations are able to benefit from a seamless and secure environment which enables productivity and flexibility. We believe in a world where you integrate public cloud with your on-premises infrastructure, and use each where it makes sense in conjunction with each other. And when we say integration, we mean true integration – across infrastructure, applications, development platforms, identity, and databases. This is what we call hybrid cloud. - Microsoft Azure Jumpstart Why Hybrid Cloud? It is not usually feasible for businesses to go all in and move completely into the cloud straight away, unless they happen to be cloud-native organizations. That doesn’t mean that enterprises with legacy systems have been unable to make any headway with cloud. To get around this, they can try a mixture of public and private clouds, and combine this with hosted, collocated and on-premise infrastructure where necessary. Hybrid cloud allows organizations to experience the advantages of both types of cloud. By spreading computational data across both resources, it is possible to optimize the environment whilst keeping everyday functions as streamlined as possible. Enterprises can make their own minds up on which type of data should be stored in a public cloud, whilst keeping any sensitive data in the private cloud. This is granting them the key element that they need: control. Access to the benefits of private and public clouds is perfect for organizations wanting to grow at the speed they need. Hybrid solutions grant business the key element that they need: control. Control to optimize their IT investment by selecting the best-fit infrastructure for different categories of workload. Control to choose where their most critical data should reside. Control to spread their workloads across multiple platforms to avoid the risk of vendor lock-in from a single platform strategy. Only 40% are currently able to move workloads across cloud types or providers. That means enterprises striving toward flexible use of hybrid clouds face a looming challenge, because 62% are looking to achieve portability within the next 18 months. - CIO Quick Pulse Cloud READ MORE: https://cloud.report/blogs/flexible-building-blocks-for-the-new-cloud-and-data-driven-world/12337 Gaining data insights in a Hybrid Cloud Environment • Maintain the “Right” Data Placement If your organization uses hybrid cloud, IDC highlights the “right” data placement as being critical to comply with regulatory mandates, to meet application response time, and to optimize infrastructure costs. In many cases, you must keep certain datasets within their respective countries of origin, or you must be able to move other datasets from one location to another. In either case, all your customers who access data, regardless of location, need the same seamless customer experience. By dispersing data correctly, your organization can provide faster data access for customers around the world. And with the “right” data placement, hybrid cloud environments can provide data and data insights faster, without violating global regulations or creating content siloes. • Develop a Holistic Picture of All Your Workloads and Data To gain insight into your hybrid cloud environment, you need to have a complete picture of the workloads and the datasets within that environment. IDC suggests building “data maps,” which include your data, key owners, security requirements, sensitivity levels, data sources, and any other key metrics to meet your organization’s needs. When your organization has this holistic picture, you can measure data as part of a whole set. You can also manage workloads and identify data trends that might have been siloed in the past. When all your data has been measured together as part of a larger map, you can discover new insights, identify new opportunities, and make data-driven business decisions. • Understand the Real Costs of Your Service Options Along with your holistic picture of workloads and data, you need to understand the real costs of your service options. What up-front costs are required? What hidden costs might be exposed later? What’s the TCO over time, and does it match the value of your data? Cloud solutions are not one-size-fits-all, and your organization can create an environment that’s based on your needs, without added cost. As you create your hybrid cloud strategy, consider your existing costs and evaluate what options you have as you move data into your cloud environment. • Embrace AI and Machine Learning Forward-thinking organizations recognize that artificial intelligence (AI) and machine learning are the future of cloud data storage and management. A cloud environment with AI learns from the data that it gathers, makes predictions, and troubleshoots potential problems before they occur. IDC predicts that in the future, AI will drive self-configurable and self-healing infrastructures, enabling systems to dramatically reduce—or even eliminate—human errors. You can also use AI and machine learning to seamlessly move data between an on-premises infrastructure and a cloud environment. In a hybrid cloud environment, seamless movement, accessibility, and connectivity are crucial. With AI attached to a hybrid cloud, your organization can manage and control data like never before. READ MORE: https://cloud.report/blogs/how-to-maximise-business-objectives-using-hybrid-cloud-architecture/12360 Leveraging data to power innovation in a Hybrid Cloud environment 1. Control and Secure Your Most Valuable Asset environment It’s impossible to gain insights from information that you don’t know that you have. In a hybrid cloud environment, you can easily keep your data visible and accessible without losing security. You can establish full data visibility across multiple clouds, and you can implement data protection policies that extend beyond your data center boundaries. With a hybrid cloud environment, you can control and secure your data, wherever it lives. 2. Access and Share New Data Insights Infrastructure analytics and machine learning work across hybrid cloud environments to help you better understand your data. These data insights include performance, capacity, and availability of each dataset. With this kind of visibility into your organization’s data, you can: • Decrease troubleshooting time. • Optimize resources and reduce capital expenditures and operational expenditures. • Manage costs. • Implement showback and chargeback reporting. Data visibility and insight go hand in hand. With integrated data management in a hybrid cloud environment, your organization can eliminate data bottlenecks and share insights to drive new business opportunities and growth. 3. Accelerate Application Delivery and Embrace Digital Transformation Many enterprises are turning to DevOps as the best way to deliver new software features, services, and applications more quickly and with higher quality. Hybrid cloud environments facilitate DevOps practices by simplifying data services and by connecting your data, in the cloud or on the premises. By bringing developer and operations teams together, DevOps can reduce friction and put your company on a path to continuous integration and seamless delivery. 4. Empower Employees to Make Data-Driven Decisions In a hybrid cloud environment, your organization can place data where it provides the greatest value, whether it’s a corporate data center, a production facility, a public cloud, or at a cloud service provider. A hybrid cloud also enables you to move data easily as your requirements change. With integrated and accessible data, employees at every level can make data-driven decisions. Working with data in a hybrid cloud environment is all about maximizing the value of the data. That means improving the customer experience, making information more accessible to stakeholders, and identifying opportunities that lead to new markets and new customers. 5. Accelerate Innovation When your data is mapped and accessible in a hybrid cloud environment, your employees can discover new ways of looking at data to improve performance management, gain new business intelligence, and spot potential customers. Your company can move quickly to advance new ideas from concept to production while reacting faster to market changes. With your data connected through the hybrid cloud, you’re strategically positioned to unleash your data and to grow your business. In Conclusion Public and private clouds have certain limitations, which is where Hybrid Cloud model shines. Hybrid Cloud approach allows the power to integrate your current IT Infrastructure with new cloud workloads. This leads to seamless access, wider data view and deriving new data insights for faster innovation while adhering to the ever changing tech scenario.

Read More

Palo Alto Networks Advances DevSecOps in the Cloud

Article | April 7, 2020

New capabilities include the ability to define and apply cybersecurity policies to continuous integration (CI) and continuous delivery (CD) workflows and scanning tools for discovering misconfigurations in cloud infrastructure templates, which is the most common source of cloud security issues.Palo Alto Networks has also added the ability to scan virtual machines native to the Amazon Web Services (AWS) before they are deployed as well as an ability to apply policies to workloads running on the AWS Lambda serverless computing framework via a single click. That capability eliminates the need to manually install wrappers in application code running on the AWS Lambda framework.

Read More

Spotlight

Testhouse Ltd

Testhouse is a thought and market leader in Software Quality Management, Application Lifecycle Management (ALM) and DevOps providing on-site, on-shore and off-shore test services either outsourced or on-demand, including consulting, software testing solutions and training services, focusing on traditional IT, mobile, cloud and the emerging internet of things platforms.

Events