With CRM application moving from on-premise to the cloud, managers need to ensure that this change goes as smoothly as possible. While it may seem simple (and sometimes it can be), there are a variety of ways in which cloud migration can be poorly done.
Disaster can strike at any time. It may happen as a cyber attack, targeting important business systems and networks, or it may be a large scale power outage affecting millions of people and companies.
The SDN dialogue remains fairly focused on automation. This is actually a good thing; the manual nature of networking means that networking is in dire need of some help on the automation front. There has been a meteoric rise in the number of companies building tools for this very purpose.
After you've hopefully read the short little introduction to xPaaS you're excited to try out all the new features and just want to get started without further reading? That is easy. The only true prerequisite for everything you do around xPaaS is an OpenShift account.
Aaron & Brian talk about the industry in 2014, the transition of the show, and some recent events. They discuss Bi-Modal IT, the state of Private Cloud, Public Cloud, how VC's are investing in Open-Source, and how everyone is evolving their software skills. They also make 2015 predictions sure to be wrong.
There has been much interest recently in the use of microservices to architect large-scale services. Microservices are predicated on the idea of deploying individual applications each of which provides a single service, and linking these microservices together to create a large-scale service.
This infographic by New Relic explains the many benefits of SaaS app management. A survey found that more than half of the businesses that use app management save forty to sixty hours per development cycle, more than a week of time saved.
Feeder is not only about testing logging pipelines...in the docs you'll be able to find an excellent use case on how to use Feeder to feed metrics. Feeder can actually be used to send any type of data via any type of transport by writing very little code.
A little more than 2 years ago, the Ceilometer project was launched inside the OpenStack ecosystem. Its main objective was to measure OpenStack cloud platforms in order to provide data and mechanisms for functionalities such as billing, alarming or capacity planning.
There are several cloud computing middleware solutions on the market today, and they vary based on functionality. Cloud computing continues to evolve as a vital computing platform for sharing various resources, including infrastructure, software, business processes and applications.
Are you looking at utilizing Microsoft Azure for your next application, or just overwhelmed with all the options and services provided by Microsoft Azure? In this first article we will be looking at Azure Blob Storage in-depth, best practices, pitfalls to avoid and of course a healthy does of security.
If you work in IT, you’d have to have been sleeping under a rock not to be aware of the Docker craze. Below the radar twelve months ago, today Docker is being hailed as the solution for all things IT—particularly the intractable problem of how to achieve application portability across heterogeneous IT infrastructures.
Here is how you can automate deployment for WebLogic server using the command line.
OpenStack is an open source cloud and that makes it quite unique in comparison to many of the closed source public clouds generally available today. As with any open source project we have the option to contribute and influence how the OpenStack cloud ultimately shapes out.
When deploying a large WAR file application, it would be more easier to manage if we can separate the dependency jars away from the rest of the Web content
In a previous post, my colleague Dimitri Vanoverbeke discussed at a high level the concepts of database as a service (DBaaS), OpenStack and OpenStack’s implementation of a DBaaS, Trove. Today I’d like to delve a bit further into Trove and discuss where it fits in, and who benefits.
Michael Maximilien ("Max") kicked off this month’s Cloud Foundry Community Advisory Board meeting with reflection of the 3 releases of Cloud Foundry that have occurred since last month's meeting - v178, v179 and v180.
Around 3 months ago, I posted an article explaining our approach to build Cloud Application. From this article, I will gradually share our practical design to solve this challenge. As mentioned before, our final goal is to build a Saas big data analysis application, which will deployed in AWS servers.
A very tiny little overview to get you up to speed. To make it simple, JBoss xPaaS services is another name for having all the powerful capabilities of JBoss Middleware available as a cloud based services, ready for use on OpenShift.
The next IT revolution is about to happen however. Those proprietary hardware platforms will soon give room for commodity multi-core processors from ARM, Intel, etc. General purpose operating systems will replace legacy proprietary and embedded predecessors.
The OpenStack Open Source Database as a Service Mission: To provide scalable and reliable Cloud Database as a Service provisioning functionality for both relational and non-relational database engines, and to continue to improve its fully-featured and extensible open source framework.
For developers, one of the many cool things about using a PaaS is that you can easily connect your application to any type of service instead of being limited to what your IT department officially provides.
SaaS development platform checklist includes a number of factors: the impact of SaaS applications on IT, IT roles and responsibilities, as well as the impact on regulatory compliance, and so on, and all these play an important role in successful deployment.
The problem is that unlike Azure Table Storage, Blob Storage does not have querying capabilities and in order to find answers to questions like above one would need to list blobs in a container and then do the filtering on the client side.