Fact: storage performance problems have only gotten more complicated, as applications not only have become largely virtualized, but also have moved to cloud-based infrastructures. Storage performance in virtualized environments isn’t just about IOPS anymore. Instead, you need to guarantee performance for individual VMs, helping applications maintain performance as the number of VMs continues to go up in real time. In his session at Cloud Expo, Dhiraj Sehgal, Product and Marketing at Tintri, will share success stories from a few folks who have already started using VM-aware storage. By managing storage operations at the VM-level, they’ve been able to solve their most vexing storage problems, and create infrastructures that scale to meet the needs of their applications. Best of all, they’ve got predictable, manageable storage performance – at a level conventional storage can’t match.
Enterprises have forever faced challenges surrounding the sharing of their intellectual property. Emerging cloud adoption has made it more compelling for enterprises to digitize their content, making them available over a wide variety of devices across the Internet. In his session at 19th Cloud Expo, Santosh Ahuja, Director of Architecture at Impiger Technologies, will introduce various mechanisms provided by cloud service providers today to manage and share digital content in a secure manner.
As cloud security is rapidly advancing, enterprises can begin to prevail over digital disruption by increasingly using cloud-defined security. The next BriefingsDirect cybersecurity innovation and transformation panel discussion explores how cloud security is rapidly advancing, and how enterprises can begin to innovate and prevail over digital disruption by increasingly using cloud-defined security. We'll examine how a secure content collaboration services provider removes the notion of organizational boundaries so that businesses can better extend processes. And we'll hear how less boundaries and cloud-based security together support transformative business benefits.
One of the many questions that companies face when introducing new enterprise systems either to provide new functionality or incorporate legacy systems from a merger or acquisition is "How do we identify and manage access rights?" Not only do new access approval processes need to be established, but a common platform to define and execute processes, reliably document approvals and provide users with an acceptable user experience is often not in place to handle the additional workload. Corporate IT is also faced with the challenge responding quickly to changes in access rules or approval chains.
The following fictional case study is a composite of actual horror stories I’ve heard over the years. Unfortunately, this scenario often occurs when in-house integration teams take on the complexities of DevOps and ALM integration with an enterprise service bus (ESB) or custom integration. It is written from the perspective of an enterprise architect tasked with leading an organization’s effort to adopt Agile to become more competitive. The company has turned to Scaled Agile Framework (SAFe) as a way of scaling Agile, since initial attempts at Agile were not successful despite many scrum master training sessions. I’m told that our SAFe implementation depends on the flow of information between people from different parts of the organization. Because these groups all use different tools, we need to focus on integrating them.
As the world moves toward more DevOps and Microservices, application deployment to the cloud ought to become a lot simpler. The Microservices architecture, which is the basis of many new age distributed systems such as OpenStack, NetFlix and so on, is at the heart of Cloud Foundry - a complete developer-oriented Platform as a Service (PaaS) that is IaaS agnostic and supports vCloud, OpenStack and AWS. Serverless computing is revolutionizing computing. In his session at 19th Cloud Expo, Raghavan "Rags" Srinivas, an Architect/Developer Evangelist at IBM, will discuss the Microservices architecture, 12-factor app, containers, etc., and how to architect applications for the cloud in general and Cloud Foundry in particular. We will look at serverless computing for increasing efficiencies.
Security certainly feels a lot more like a journey than a destination. This is especially true with APIs becoming a critical piece of any mobile or web application. With so much information being shared through APIs, teams need to ask themselves: how can you effectively secure your API? While the security demands of developing and maintaining APIs will continue to evolve, there are a few key areas your team should be focused on if you have have responsibility for an Application Programming Interface (API).
Since its introduction in 2009, Microsoft Azure has gone through a significant transformation. What started as a hardcore set of platform services is now a force to be reckoned within the infrastructure market as well. According to Gartner, Azure is inching closer to AWS, firmly securing its place in the top right section of the Infrastructure-as-a-Service (IaaS) Magic Quadrant, which is reserved only for the market leaders.
In the first part of this series, we discussed the evolution of Azure IaaS and role of Azure Resource Manager. The next installment of the series explains the key differences between Azure Service Management (ASM) and Azure Resource Management (ARM) models. We will also take a look at key concepts and terminology related to ARM. ASM or ARM? One of the key tenets of cloud, especially infrastructure services, is programmability. Almost every cloud provider exposes a set of APIs to manipulate the virtual infrastructure programmatically. Even before the Cloud Computing term became a buzzword, Amazon exposed APIs for storage and compute, which eventually became the core of AWS.
Today we can collect lots and lots of performance data. We build beautiful dashboards and even have fancy query languages to access and transform the data. Still performance data is a secret language only a couple of people understand. The more business becomes digital the more stakeholders are interested in this data including how it relates to business. Some of these people have never used a monitoring tool before. They have a question on their mind like “How is my application doing” but no idea how to get a proper answer.
When building DevOps or continuous delivery practices you can learn a great deal from others. What choices did they make, what practices did they put in place, and how did they connect the dots? At Sonatype, we pulled together a set of 21 reference architectures for folks building continuous delivery and DevOps practices using Docker. Why? After 3,000 DevOps professionals attended our webinar on "Continuous Integration using Docker" discussing just one reference architecture example, we recognized there was a strong interest in the community to learn more. That's why we assembled 20 more reference architectures into this collection. A picture speaks a thousand words, but beyond the images, we also share the details of each DevOps/CD Docker reference architecture. In the bottom right corner of each slide, we share the original blog or presentation source for the image. When one of the images piques your interest, you can then dive deep into the source. Cool, huh?
The development of your app isn’t something that happens overnight, but rather it is something that takes place over time and through multiple iterations. While you may have developed the framework for your app already, improving engagement and innovating to provide a better user experience is a completely different process. There are plenty of ways that you can improve user engagement, but these five strategies will help you improve your app while also reducing the risk that your “innovative” updates actually decrease user engagement.
A few years ago, those little iHome alarm clocks started to appear in hotel rooms. Cool gadgets that you could mount your mobile phone to battery charge or play the music on the device. We also had a few in our home. They worked perfectly for the iPhone4 since the connector was that 1 inch protruding plug. When I got the iPhone6, those clocks instantly became useless. Obsolete. At least the phone connector part lost its value.
Monitoring of Docker environments is challenging. Why? Because each container typically runs a single process, has its own environment, utilizes virtual networks, or has various methods of managing storage. Traditional monitoring solutions take metrics from each server and applications they run. These servers and applications running on them are typically very static, with very long uptimes. Docker deployments are different: a set of containers may run many applications, all sharing the resources of one or more underlying hosts. It's not uncommon for Docker servers to run thousands of short-term containers (e.g., for batch jobs) while a set of permanent services runs in parallel. Traditional monitoring tools not used to such dynamic environments are not suited for such deployments. On the other hand, some modern monitoring solutions (e.g. SPM from Sematext) were built with such dynamic systems in mind and even have out of the box reporting for docker monitoring. Moreover, container resource sharing calls for stricter enforcement of resource usage limits, an additional issue you must watch carefully. To make appropriate adjustments for resource quotas you need good visibility into any limits containers have reached or errors they have caused. We recommend using alerts according to defined limits; this way you can adjust limits or resource usage even before errors start happening.
Modern organizations face great challenges as they embrace innovation and integrate new tools and services. They begin to mature and move away from the complacency of maintaining traditional technologies and systems that only solve individual, siloed problems and work “well enough.” In order to build...
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DevOps at Cloud Expo, taking place Nov 1-3, 2016, at the Santa Clara Convention Center in Santa Clara, CA, is co-located with 19th Cloud Expo and will feature technical sessions from a rock star conference faculty and the leading industry players in the world. The widespread success of cloud computing is driving the DevOps revolution in enterprise IT. Now as never before, development teams must communicate and collaborate in a dynamic, 24/7/365 environment. There is no time to wait for long development cycles that produce software that is obsolete at launch. DevOps may be disruptive, but it is essential.
19th Cloud Expo, taking place November 1-3, 2016, at the Santa Clara Convention Center in Santa Clara, CA, will feature technical sessions from a rock star conference faculty and the leading industry players in the world. Cloud computing is now being embraced by a majority of enterprises of all sizes. Yesterday's debate about public vs. private has transformed into the reality of hybrid cloud: a recent survey shows that 74% of enterprises have a hybrid cloud strategy. Meanwhile, 94% of enterprises are using some form of XaaS – software, platform, and infrastructure as a service.
Python has long been a go-to language for developers creating cutting-edge web applications. However, Python’s advantages of power, versatility, flexibility and ease of programming have made it a favorite language in a multitude of applications, industries, and niches. Examples of Python being used outside the world of Web apps include: The development of an ERP/CRM named ERP5, developed by Nexedi for use in government agencies, the apparel industry, and other warehouse-based businesses.
As IoT technologies attempt to live up to their promises to solve real-world problems and deliver consistent value for companies, there is still confusion among businesses on how to collect, store, and analyze a massive amount of IoT data generated from Internet-connected devices, both from industry and consumers, and unlock its value. Many businesses that are looking to collect and analyze IoT data are still unacquainted with the benefits and capabilities the IoT analytics technology offers, or struggle with how to analyze the data to continuously benefit their business in different ways such as cost reduction, improving product and services, safety and efficiency, and enhancing customer experience. Consequently, businesses still have the prospect of creating competitive advantage by mastering complex IoT technology and fully understanding the potential of IoT data analytics capabilities.
Datos IO has announced its membership within Amazon Web Services’ (AWS) Partner Network (APN). As a new Standard Partner with AWS, Datos IO will enable enterprises to protect their next-generation SaaS applications or applications (such as Internet of Things (IoT), Analytics, eCommerce, and others) hosted on IaaS and PaaS architectures natively deployed on AWS against data corruption, disasters and human errors.
During the early days of my career, I used a variety of development environments, including the most popular Turbo C along with FoxPro, PowerBuilder, and Delphi before finally settling down with Microsoft Visual Studio. The first line of code that I have ever written was in QBasic running on Microsoft DOS. The editor had useful features like adding the line numbers and automatically converting the statements to uppercase. Hitting F5 would run the program instantly without having to switch to the command prompt.
Breqwatr has announced the general availability of its Breqwatr Cloud Appliance 2.0. This turnkey, hyper-converged cloud appliance offers scale-out infrastructure, cloud management tools and a uniquely designed user interface that empowers its clients to deploy and consume Infrastructure-as-a-Service (IaaS) without the complexity and time typically associated with alternative private cloud solutions.
The modern IT network encounters a lot of twists and turns on its way to high performance and user satisfaction. The humble network, which for a long time was fairly straightforward, is now a complicated infrastructure component that requires careful management and monitoring. Private and public network topologies are much more diverse these days, so that app delivery takes many twists and turns through paths, protocols and configurations along various networks, whether LAN, WAN or cloud.
Every app developer dreams of the kind of success that Pokémon Go is enjoying right now. A month ago, it was just a rumor. Just 24 hours after it was released, it was the number one top grossing app, even though it was free to download and play. Within a single week, Pokémon Go servers were slammed with traffic from 21 million players while they tried to fix production errors. Today it has 3X more Android downloads than Tinder, nearly as many daily active users as Twitter and users spend twice as much time in the app as they do in the phenomenal Snapchat. Even Facebook can’t hold up against the Pokémon onslaught. By any mobile app performance metrics you want to use, Pokémon Go has been a smashing success. It’s also at the center of a media firestorm.
DoubleHorn is now offering its feature-rich and cost effective Evidence Management System for Law enforcement agencies interested in developing body-worn camera programs across Texas. DoubleHorn's Evidence Management System (DEMS) is a unified system suitable for capturing any digital evidence (videos, images and files) and physical evidence end-to-end. It is a fully secure, scalable, cost-effective and compliant solution for law enforcement authorities to managing any type digital evidence. The diverse features of DEMS include collection and storage of physical and digital evidence, chain of custody, managing convenience copies, collection and analysis of metadata, and reporting. DEMS also offers cloud storage options that fit all the major security and compliance requirements including CJIS, FedRAMP, FISMA, HIPAA, FIPS, ITAR, FERPA, etc.