Separate Reconciliation and Renderer
Fiber architecture splits the process of reconciliation of the DOM tree from the actual rendering step. This enables using different types of renderers. The reconciliation step is necessary to compute the difference between the DOM nodes at one point and another point after a state change in the application has happened. Keeping a decoupled render phase helps in using React in places like VR using React-VR project, hardware using React-Hardware project, web using the core ReactJS project, and native components in platforms like iOS and Android using the React-Native project - all the while sharing a common project base. ReactJS codebase is very convoluted at the moment and this makes it difficult for beginners to contribute to it. This rewrite aims to solve that issue as well.
Breaking Reconciliation into Two Phases
React Fiber breaks the reconciliation into two parts: evaluation and commit. The evaluation of changes to be made to the DOM tree is now asynchronous. React uses a virtual DOM to find out the difference current state and the next state efficiently and only propagates the final result to the real DOM. Earlier react used to move down the component tree and apply changes along its way. Now it waits for the browser to give it control using the requestIdleCallback API wherever it is supported and uses a polyfill to support older browsers. This helps the browser in maintaining the UI so that it is responsive even when React is trying to make an update that requires some heavy computation. This interruptible evaluation phase and makes the application more fluid. The second phase is the Commit phase in which the evaluated updates are written to the DOM tree. This phase is non-interruptible as conflicting updates might introduce layout thrashing.
Returning Array Of Components
React Fiber supports returning array of components from the render function instead of a single top level component. Earlier if a render function wanted to return multiple components, it had to do it by wrapping those components in a top level dummy component like span in case of web platform. This worked just fine but caused major problems when the application used flexbox for styling. React Fiber is finally solving this much hated problem and more! Render functions can even return nested arrays of components or just text.
Web developers are in a constant fight to reduce the time of first paint for the user. It is a common practice to use Server Side Rendering for rendering React applications before pushing the content to the user. This becomes problematic at times when the render takes considerable amount of time, probably because of some heavy computation. Until that processing is complete, the server cannot send the rendered application. React Fiber solves this by including a streaming renderer. Content can be streamed as soon as it is processed. This makes it possible to send static content like analytics embeds from various providers like Mixpanel and Adobe Analytics beforehand by keeping them in top level components. Data from these can be combined later using integrations from an aggregator like Segment. This feature has been requested for a long time and it will most likely make the cut for the initial release of Fiber.
Different Priorities For Different Updates
React Fiber introduces the concept of different priorities for different kind of updates. Some updates might be high priority, like animation updates, but they might be happening via deeper nested components. In that case if the parent components require some heavy processing, that would block the animation update in child components in current version of React. React Fiber solves this by assigning a higher update priority to animation updates. Different kinds of updates get arranged in different order. There are other concerns here which the react team needs to solve. Jumping the queue should be allowed for some updates but starving other updates must not happen. Another issue is that component lifecycle events might go out of sync because of this reordering. Facebook’s React team is currently looking into a graceful lifecycle event path. This architecture also makes componentWillMount event questionable and there have been requests to remove it as well.
Parallelized Updates to The Tree
React Fiber makes it possible to make parallelized updates to the DOM. In the current version updates are applied recursively to the components in the order that they are listed.
React Fiber is definitely going to make a lot of applications work better out of the box. The official semantic version it will hold is 16.0.0. If your application works fine with version 15.5.4, it will continue to work seamlessly with React Fiber once you upgrade.
Google is one of the most prominent firms in the market of Information and Technology. This is because, google is not only responsible for its software, but it is one of the most important companies producing search results on the internet. Many companies depend on Google search engine to make sure that their brand is displayed on the top of search result page. This is done by the artificial intelligence of the company which is developed under the name of Google Rank Brain. The algorithm was developed by the company, by the search engineers who were tested, versus the Google Rank Brain. The engineers were made to guess the top results that Google will display for a particular query. The Google Rank Brain was tested for the same. The results concluded that the engineers had 70 percent success rate and the Google Rank Brain had 80 percent success rate. This made it one of the primary choices of the companies who look forward to improving their online presence. Let us look at a detailed study carried out by software engineers in this article.
What is Google Rank Brain?
Google Rank Brain is an algorithm written on the basis of hundreds of mathematical calculations called vector measurements. This algorithm is written in such a way that the computer can understand the code for the search engine to be optimized. The main job of the Google Rank Brain is to boost the results for Google queries. For example, if the user types a certain work in the query box, the Google Rank Brain searches for the phrase in its database related to that word and helps in finding accurate results. This makes the task more effective and efficient.
Another important feature of the Google Rank Brain is that it can learn new things based on the user’s way of searching for the results. The Google Rank Brain is thereby very efficient in learning new phrases and recognizing the pattern of the searching.
Importance of Google Rank Brain
We are in that phase of the era where every little thing is being shifted to the online platform. It is very important to walk hand-in-hand with technology to make sure that you do not miss out on potential customers and associates. You can only make your business successful if you have good online and offline presence in the market. For impressive online presence, you should know the basics such as search engine optimization. Google Rank Brain is responsible for as much as 15% of search results on the internet.
There are different factors responsible for the query results and one of the most important is Google Rank Brain. This is because the algorithm is written in such a way that the top results will be displayed according to the phrase in the database of the search engine. This gives accurate search results.
Google Rank Brain and SEO
Search Engine Optimization or SEO is one of the most important factors that any company should keep in mind if they want to have an impressive and influential online presence. For this, the content writers of the website should be aware of the keywords being used by the customers while searching for a particular query. The more accurate the keyword, more attention the website will receive. Google Rank Brain is completely based on the phrases and keywords. If the content writers use a perfect set of keywords based on which services, the company is offering.
When the correct set of keywords is used, the Google Rank Brain will link the keywords with the keywords in the database and link it to the websites that are ranked based on the algorithms.
Future of Google Rank Brain
Google Rank Brain was first rolled out in the market in the year 2015. Back then, the software engineers had the made the algorithms in such a way that they remained constant till the script was updated and was rolled out on the internet. Gradually, the changes were made in the script in such a way that it becomes more user-friendly and interactive. As the users enter queries, the Google Rank Brain learns the pattern and then feeds the pattern to the script. This makes the script more interactive and you get better results next time you search on the internet.
Modified on by sofiastechtalk
Graphic designing is not a cakewalk and requires the user to enroll into design schools and cultivate high-level skills and experience in the field. This often takes a toll on non-professionals and students who toil with designing. Fortunately, now, all those who out there are struggling to put together creative and visual presentations and lack professional skills of an experienced designer should fret no more. The creative team at Adobe has exceptionally constructed an easy to use designing application namely Adobe Spark, which aims to assist non-professionals and students in creating beautiful visual presentations, web stories, E-invites, animated videos and what not! The application is not only free of cost but is also extremely facile to use. One of the striking features of its usage is its popularity among children. The colorful and bright interface evokes interest and a feeling of enjoyment among not just kids, but adults as well. Let’s look at some of the most creative ways in which Adobe Spark can be put to optimum use.
Create your own web page
Thinking about creating a website to share information and promote the newly created handicrafts, bakery or confectionary business, or even accounts of adventure and adrenaline filled solo trips? One can simply create beautiful and creative websites without prerequisites of technical knowledge about HTML using the Page option in Adobe Spark. The user is primarily required to create an account which is absolutely free, then they must pick the most suitable themes accordingly provided in Theme Gallery and choose from an exquisite range of fonts in order to beautify it further. One can upload their own favorite photographs or even choose from the photos already provided in Spark, and then they can customize it with more creative elements and preview the work done. The website will be assigned a new URL and one can subsequently share it with friends and family across social media. Users can even put together travel blogs, web stories, and even newsletters by using the Page feature in the application.
School projects are no more monotonous!
Projects are sometimes too boring and tedious, and so children end up procrastinating and avoiding it till the eleventh hour. With Adobe Spark, school projects can be made more fun-filled, engaging and interesting. The Video feature allows its user to create tutorials, presentations and even animated videos within a short span of time. Students can choose from a variety of colorful templates, gorgeous typography and eye-catching themes in order to make their projects look more appealing and creative. They can even record an audio and incorporate it into the animated videos to instill life into the stories and characters created by them. Teachers and educators can easily play with this innovative application and redefine the traditional assignments and projects, such that the students enjoy and look forward to working with them.
E-invites and save the date postcards
In order to share announcements related to birthdays, engagements, weddings, graduation and even christening ceremony, one eagerly looks forward to sharing them in the most unique and beautiful ways, so that the invitees take the time to read and indulge in the creativity of the invites. In an era of technology, facilities like E-invites save time and are considered much more economical as compared to the traditional physical invites. The Spark Post feature allows the users to put together elegant and artistic E-invites and save the date postcards which would catch the readers’ eyes. This feature is a great savior of time since one can share the invitations via email or even download them for printing. This feature can help design advertisements, pamphlets, flyers, and even quotes in the most innovative and aesthetic ways that are definitely going to entice the readers.
After creating design applications like Photoshop, Illustrator, and Lightroom, Adobe has finally put together an application like Spark which doesn’t need the users to possess any pre-required design skills or knowledge about graphic designing. Due to the versatility of the features in the app, the eye-catching and colourful user interface which makes it popular among both children and adults, and the numerous creativity elements incorporated, Adobe Spark is a one-stop destination for all the non-professionals out there who are looking forward to stepping into the world of creative and efficient designing, be it at home or workplace or even schools.
Modified on by sofiastechtalk
Blockchain is gaining popularity as an emerging trend and upcoming advancement in the field of technology that ensures the security and management of a database. It proves to be a convenient source for record or data management, identity management, transaction processing and documenting, where the system is resistant to any form of alteration or modification by a third party. The database manages an increasing collection of records known as blocks where each block is linked to a previous block. Crafted to secure data from being misused, Blockchain technology enables to maintain records and transitions between two parties in an efficient and verifiable manner.
Designed specifically to protect data from being tampered, Blockchains utilizes a distributed timestamping server where databases are maintained autonomously and the open distributed ledger is programmed to process transactions automatically. Serving as a public ledger for all potential transactions, the concept was first introduced by Satoshi Nakamoto almost a decade ago where this concept was applied to the digital currency Britcoin, which facilitated transactions as a public and decentralized ledger. The development of Blockchain technology that facilitated the requirements of Britcoin was the first in its digital field to provide a solution to double spending, where the technology does not include the involvement of an authority or a centralized server.
New developments in Blockchain technology provides a platform to secure transaction processing through a decentralized and distributed public ledger where online records are effectively managed and maintained without the interference of a third party. This enables the process of auditing and data management to be maintained in a cost-effective manner. Blockchain technology has created a rising demand for itself in a market where people prioritize the aspect of data security. Blockchain negates the possibility of the replication of a database or digital asset. While providing a solution to the problem of double spending, the technology ensures that every segment of data is only transferred once. Proving to be an effective method of managing transactions, Blockchain is a safer option compared to traditional methods of data management. Consisting of transactions and blocks, the functioning of Blockchain technology offers a systematic approach to the decentralized management of online data. The technology can secure and manage large-scale transactions through distribution and decentralization of the digital ledger. This is, therefore, a trusted source of database management as it aims to maintain quality and safety of online interactions.
Defining Digital Trust
Utilizing the concept of Cryptography, the technology aims to ensure that data cannot be altered or modified once recorded. Being an ethical form of data management, Blockchain enabled transparency to fight against the unethical trade of jewelry and diamonds, ensuring the industry to comply with the government regulations. Having started off as transaction and data processing system in banks, the evolving technology has come a long way to making its mark in the global market. Retailers are on the move to utilize this technology in order to facilitate transparent online transactions and clarity in the management of inventory. Business organizations believe that the technology has the potential and scope to enable trustworthy financial transitions in the digital front. Humaniq is a financial services app powered by the Ethereum blockchain. The startup aims to provide formal banking access to people who currently do not enjoy the privilege of systematized and transaction services. Integrating with the global economy, Humaniq aims to introduce it's breakthrough application using blockchain and biometric technologies to provide over 2 billion people with financial inclusion.
Being a public ledger for Bitcoin transactions, Blockchain technology ensures a safe and transparent environment for online transactions. The industry has witnessed a significant rise in the demand for Blockchain Technology by the integration cost effective transaction management to facilitate a trustworthy platform to the public. The global trend has shifted from a centralized authority or a controlling third party to enable the functioning of a decentralized and autonomous transaction platform that ensures security and preservation of the original data. The significant innovation in technology has enabled the formation of an independent body through mass collaboration that enforces authentication and confidence of online information. Carving itself a niche in the market of financial transactions, the technology identifies its widespread impact on the global demand for this technology.
New developments in Blockchain technology effectively ensures immutability and transparency following ethical and trustworthy means to facilitate online transactions. This innovation aims to have a lasting impact on the trustworthy trade of digital currency and ensures transparency while recording transaction and information publicly through a decentralized digital ledger. Yet to gain complete prominence over the market, the rising technology has proved to show potential to an exponential growth through the maintenance of an incorruptible public interface.
Project managers are spoilt for choice when it comes to the various alternatives available in the market today. Picking one among these various project management tools is essentially a question of what features you need for your business and which of these tools meet all of your needs at the most affordable price. Given that most project management price their product based on the number of users in the system, the outgoing expense can quickly escalate.
Project Management Tool Comparison By Price
In this showdown, we are going to compare four project management tools that are priced in their own unique way. Hubbion is a tool that is completely free to use. Trello offers most essential features free of cost while restricting other important features while Wrike has very few features for free while most of the other important project management features are restricted to paid users. Basecamp has no free version, but has a fixed outgoing fee of $99/month.
Project Management Tool Comparison By Features
Now let us compare the features offered by each of these tools. Each of these tools has its own take on how many users can be permitted to collaborate, how many projects they may collaborate on, the size of the files that can be uploaded and the storage limit for documents.
Users: Hubbion is open to unlimited number of users, and so is Trello. Wrike on the other hand is free for up to five users. For larger teams, you will need to pick a paid plan that starts at $9.80/user/month. Basecamp, as mentioned already, requires you to pay a fixed $99/month fee for unlimited number of users. Another difference to note here is team structure. Both Hubbion and Trello let users to collaborate with multiple teams at the same time. That is, if you are a third party contractor and work with multiple clients, you can do so from a single dashboard on Hubbion. However, users on Wrike and Basecamp are managed by a team administrator. That is, you only get added to a single team where you can collaborate.
Projects: The next feature that is commonly a differentiating factor among the various alternatives is the number of projects you can create. All tools offer unlimited number of projects. However, if you are free user, then you can only do so from Hubbion, Trello or Wrike (for 5 users). Paid users have the option to create unlimited projects on all platforms, including Basecamp.
File Storage Limits: Depending on what business you are in, the free version may or may not be a good fit for your needs. Businesses that deal with large file sizes would find Hubbion the best among all these tools. It offers unlimited file size uploads along with no visible cap on the total storage size. Trello has a 10 MB cap on the file size while Wrike limits the overall file storage to 2 GB. Paid users of Trello can attach files of up to 250 MB while those on Wrike can store as much as 5 GB (going up to 100 GB) depending on the plan you choose.
|Project Management Tool
||File Size Limit (free verion)
||File Storage Limit (free verion)
Cloud storage services have seen a massive increase in the number of users in the last few years - both in the personal storage space and the business use case. This increase has come with a lot of scaling challenges for the service providers. One such challenge is to implement a good resource sharing management system. The users may want to share their content with others; this is fine in ordinary conditions but when a user shares the content with a large audience, your service takes a hit due to hotlinking.
There are many other problems in this space. The content that has been shared might be of illegitimate origins or might contain offensive material, so the service becomes a vector for illegal activity. This is particularly troublesome in the case of pirated content. Another problem is that the shared resource might cause an unintentional denial of service attack on the service in case it is shared widely. The service would not be able to collect any meaningful analytics either. What if the user wants to consume the content themselves but cannot login every time to reach it? This is very common when a download manager is used for fetching the resource, or when the user wants to resume the resource download at a later time. What if the user wants to share the content with a limited set of people and would like that the resource URL expires after a certain time period? Solutions to all these problems and more find their use in cloud storage services like the Amazon S3, Google Cloud and Virtual Data Rooms.
URL signing is a scalable solution to the problems mentioned above. The idea is very simple - each resource URL is generated in a way that it is unique and is identifiably linked to the creator of that URL. This is done by including an identification object in JSON format in the URL as a parameter, which is encrypted as per the JOSE standard. This object can contain a number of claims which identify the issuer of the URL, the expiration time, the start time, the scope of sharing (which identifies who all have access to the content other than the creator), and the sharing policy (public vs. private vs. login required). When a request is received, the service provider verifies it using Public-key cryptography and denies all invalid requests.
URL signing comes with some caveats too, the biggest one being difficulty in implementing caching strategies. Let’s say that a user looks at a picture on a website. This picture is served to the user via a signed URL. If the appropriate headers are set on the resource, the browser will cache it and link it to the URL it came from. However with signed URLs, unless you maintain a state on the server side, or design a stateless algorithm that issues the same signed URL within a specified duration, the browser will not be able to leverage the cached image since the URL signature would change the next time the user looks at the picture. This is also problematic when the resource has a large size, so it takes considerable time to download it. In that case the user may want to download a portion of the resource later on but resume would not work if the signed URL changes. The increased degree of difficulty in implementation is well rewarded with the benefits that come with signed URLs though.
Both Google Cloud and Amazon S3 provide first class access to URL signing in their platforms, which differ a little in their implementation details. More details can be found in their respective documentations here and here.
Modified on by Dave_Greenfield
With any new technology, there’s “fake news”, and SD-WANs are no exception. It’s true, SD-WANs probably won’t reduce your WAN costs by 90 percent or make WANs so simple a 12-year old can deploy them. But there are plenty of reasons to be genuinely excited about the technology -- and we’re not just talking about cost savings. Often, these “other” reasons get lumped into the catechisms of greater “agility” and “ease of use,” but here’s what all of that really means.
Align the Network to Business Requirements
When organizations purchase computers for employees, they try to maximize their investment by aligning device cost and configuration to user function. Developers receive machines with fast processors, plenty of memory, and multiple screens. Salespeople receive laptops and designers get great graphics adapters (and Apples, of course).
SD-WANs allow us to do the same with the WAN. We can maximize our WAN investment by aligning the type of connectivity to business requirements. Connectivity can be tweaked based on availability options, types of transport, load balancing options, and more. Examples include:
- Mission critical locations, such as datacenters or regional hubs. These can be connected by active-active, dual-homed fiber connections managed and monitored 24x7 by an external provider -- and with a price tag that approaches MPLS.
- A single, xDSL connection. This can connect small offices or less critical locations for significant savings as compared against MPLS.
- Short-term connections. These can be set up with 4G/LTE and, depending on the service, mobile users can be connected with VPN clients.
All are governed by the same set of routing and security policies used on the backbone. By adapting the configuration to location requirements, businesses are able to improve their return on investment (ROI) from SD-WANs.
Easy and Rapid Configuration
For years, WAN engineering has meant learning CLIs and scripts, mastering protocols like BGP, OSPF, PBR, and more. It was an arcane art, and CCIEs were the master craftsmen of the trade. But for many companies, managing their networks in this way is too expensive and not very scalable. Some companies lack the internal engineering expertise, others have the expertise, but far too many elements in their networks.
SD-WANs may not make WANs simple, but they do allow your networking engineers to be more productive by making WANs much easier to deploy and manage. The “secret sauce” is extensive use of policies.
Policy configuration helps eliminate “snowflake” deployments, where some branch offices are configured slightly differently than other offices. Policies allow for zero-touch provisioning and deployment. Policies also guide application behavior, making it easier to deliver new services across the WAN without adversely impacting the network. With an SD-WAN, you really can drop-ship an appliance to Ittoqqortoormiit, Greenland and have just about anyone install the device.
Limit Spread of Malware
SD-WANs position an organization to stop attacks from across the WAN. The MPLS networks that drive most enterprises were deployed at a time when threats predominantly came from outside the company. “Security” meant protecting the company’s central Internet access point and deploying endpoint security on clients. Once inside the enterprise, though, many WANs are flat-networks with all sites being able to access one another. Malware can move laterally across the enterprise easily, as happened in the Target breach that exposed 40 million customer debit and credit card accounts.
SD-WANs start to address some of these challenges by segmenting the WAN at layer three (actually, layer 3.5, but let’s not get picky) with multipoint IPsec tunnels. The SD-WAN nodes in each location map VLANs or IP address ranges to the IPsec tunnels (the “overlays”) based on customer-defined policies. Users are limited to seeing and accessing the resources associated with that overlay. As such, rather than being able to attack the complete network, malicious users can only attack the resources accessible from their overlays. The same is true with malware. Lateral movement is limited to other endpoints in the overlay -- not the entire company.
Don’t Sweat the Backhoe
As much as MPLS service providers manage their backbones, none of that would protect you from the errant backhoe operator, the squirrels, or anyone of a dozen other “mishaps” that break local loops. Redundant connections are what’s needed.
With MPLS, that would normally mean connecting a location with an active MPLS line and a passive Internet connection that’s only used for an outage. Running active-active is possible, but can introduce routing loops or make route configuration more complicated. Failover between lines with MPLS is based on DNS or route convergence, which takes too long to sustain a session. Any voice calls, for example, in process at the moment of a line outage will be disrupted as the sessions switch onto a secondary line.
With SD-WANs use of tunneling, running active-active is not an issue. The SD-WAN node will load balance the connections and maximize their use of available bandwidth. Determination to use one path or another is driven by the same user-configured traffic policies that drive the SD-WAN. Should there be a failure, some SD-WANs can failover to secondary connections (and back) fast enough to preserve the session. The customer’s application policies continue to determine access to the secondary line with the additional demand.
Conventional enterprise wide area networks are a hodgepodge of routers, load balancers, firewalls, next generation firewalls (NGFW), anti-virus and more. SD-WANs change all of that with a single consistent policy-based network, making it far easier to configure, deploy, and adapt the WAN. As SD-WANs adapt to evolve and include security functions as well, the agility and usability of SD-WANs will only grow.
Dave Greenfield is a secure networking evangelist at Cato Networks
I'll make no bones about the fact that I'm a huge fan of Cloud Foundry. It's the right play, by the right people at the right time. Despite all the attempts to dilute the message over the last eleven years, Platform as a Service (or what was originally called Framework as a Service) is about write code, write data and consume services. All the other bits from containers to the management of such are red herrings. They maybe useful subsystems but they miss the point which is the necessity for constraint.
Constraint (i.e. the limitation of choice) enables innovation and the major problem we have with building at speed is almost always duplication or yak shaving. Not only do we repeat common tasks to deploy an application but most of our code is endlessly rewritten throughout the world. How many times in your coding life have you written a method to add a new user or to extract consumer data? How many times do you think others have done the same thing? How many times are not only functions but entire applications repeated endlessly between corporate's or governments? The overwhelming majority of the stuff we write is yak shaving and I would be honestly surprised if more than 0.1% of what we write is actually unique.
Now whilst Cloud Foundry
has been doing an excellent job of getting rid of some of the yak shaving, in the same way that Amazon kicked off the removal of infrastructure yak shaving - for most of us, unboxing servers, racking them and wiring up networks is a thankfully an irrelevant thing of the past - there is much more to be done. There are some future steps that I believe that Cloud Foundry needs to take and fortunately the momentum is such behind it that I'm confident of talking about them here without giving a competitor any advantage.
First, it needs to create that competitive market of Cloud Foundry providers. Fortunately this is exactly what it is helping to do. That market must also be focused on differentiation by price and quality of service and not the dreaded differentiation by feature (a surefire way to create a collective prisoner dilemma and sink a project in a utility world). This is all happening and it's glorious
Second, it needs to increasingly leave the past ideas of infrastructure behind and by that I mean containers as well. The focus needs to be server less i.e. you write code, you write data and you consume services. Everything else needs to be buried as a subsystem. I know analysts run around going "is it using docker?" but that's because many analysts are halfwits who like to gabble on about stuff that doesn't matter. It's irrelevant. That's not the same as saying Docker is not important, it has huge potential as an invisible subsystem.
are fine but not enough. It needs to go deeper (hint to providers - that needs an asynchronous mechanism of logging, things like network taps, it worked a treat in 2005).
Fourth, and most importantly, it needs to tackle yak shaving at the coding level. The simplest way to do this is to provide a CPAN like repository which can include individual functions as well as entire applications (hint. Github probably isn't upto this). One of the biggest lies of object orientated design was code re-use. This never happened (or rarely did) because no communication mechanism existed to actually share code. CPAN (in the Perl world) helped (imperfectly) to solve that problem. Cloud Foundry needs exactly the same thing. When I'm writing a system, if I need a customer object, then ideally I should just be able to pull in the entire object and functions related to this from a CPAN like library because lets face it, how many times should I really have to write a postcode lookup function?
But shouldn't things like postcode lookup be provided as a service? Yes! And that's the beauty.
By monitoring a CPAN like library you can quickly discover (simply by examining meta data such as downloads, changes) as to what functions are commonly being used and have become stable. These are all candidates for standard services to be provided into Cloud Foundry and offered by the CF providers. Your CPAN environment is actually a sensing engine for future services and you can use an ILC like model to exploit this. The bigger the ecosystem is, the more powerful it will become.
I would be shocked if Amazon isn't already using Lambda and the API gateway to identify future "services" and Cloud Foundry shouldn't hesitate to press any advantage here. This process will also create a virtuous cycle as new things which people develop that are shared in the CPAN library will over time become stable, widespread and provided as services enabling other people to more quickly develop new things. This concept of sharing code and combing a collaborative effort of the entire ecosystem was a central part of the Zimki play and it's as relevant today as it was then. By the way, try doing that with containers. Hint, they are way too low level and your only hope is through constraint such as that provided in the manufacture of uni-kernels.
There is a battle here because if Cloud Foundry doesn't exploit the ecosystem and AWS plays its normal game then it could run away with the show. The danger of this seems slight at the moment (but it will grow) because of the momentum with Cloud Foundry and because of the people running the show. Get this right and we will live in a world where not only do I have portability between providers but when I come to code my novel idea for my next great something then I'll discover that 99% of the code has already been done by others. I'll mostly need to stitch all the right services and functions together and add a bit extra.
Oh, but that's not possible is it? In 2006, Tom Inssam wrote for me and released live to the web a new style of wiki (with client side preview) in under an hour using Zimki. I wrote an internet mood map and basic trading application in a couple of days. Yes, this is very possible. I know, I experienced it and this isn't 2006, this is 2016!
Cloud Foundry (with a bit of luck) might finally release the world from the endless Yak shaving we have to endure in IT. It might make the lie of object re-use finally come true. The potential of the platform space is vastly more than most suspect and almost everything, and I do mean everything will be rewritten to run on it.
I look forward to the day that most Yaks come pre-shaved. For more read
Modified on by SohilShah
Microservice architecture resembles a Service Oriented architecture in the part that both rely on cohesive
loosely coupled services, strung together to provide a solution. Beyond this similarity, the common nature
of the architecture seems to end. Microservice architetcure consists of completely decoupled services orchestrated
with each other via REST+HTTP API interfaces. These services can each be running in its own environment including
different programming languages. Each service can have a different deployment/management cycle while keeping the
final solution consistent.
Docker is a technology that is naturally suited for building an Application with a Microservice architecture.
You can visualize Docker as a wafer thin Linux VM that can host multiple containers without a tight dependency
on the host Operating System. Compared to a regular VM, it is light weight and more manageable. You can have
Microservices loaded into individual containers each completely isolated in environment from each other.
Besides Isolation, Docker also provides a consistent environment between code movement from Development -> QA
-> Production. Developers can have development time Docker containers that run on minimal hardware resources
and have the same code deployed consistently in maximized Production environments including Cloud and PAAS/IAAS
infrastructures. Same code, different scale!!!
With that in mind, I would like to cover the implementation details associated with developing Java Microservices
in a Docker environment.
This step involves developing the Java Microservice. Keeping the scope of the blog in mind, this microservice can be downloaded and run with the following instructions
Implementation details about the Microservice can be studied in the source code by loading the project into your preferred Java IDE such as Eclipse.
Before the Microservice can be run inside Docker, the Docker technology must be installed on your local machine. You can follow step-by-step Docker installation procedure at: Docker Installation
Once Docker is installed correctly, you can test your installation using the following command:
Create a Microservice Docker Image
In the Docker ecosystem, there are two main concepts to understand.
- Docker container: A Docker container is a lightweight instance of a Linux based OS running on top of your host Operating System
- Docker image: Docker image represents your Application software + entire environment running inside a container
For the above microservice, the container loads the microservice image, and as part of this image it not only loads the Application Code for the microservice, but also the Java 8 environment it needs to run the microservice.
But, before you can load the microservice into Docker, you need to create a Docker image for that software. The steps to create the image are as follows:
|Create a directory next to your microservice project
|Copy microservice artifacts to the build directory
cp target/hello-microservice-1.0-SNAPSHOT.jar ../hello-microservice-build
cp hello-microservice.yaml ../hello-microservice-build
|Create the Dockerfile file under hello-microservice-build directory
ADD hello-microservice-1.0-SNAPSHOT.jar hello-microservice-1.0-SNAPSHOT.jar
ADD hello-microservice.yaml hello-microservice.yaml
CMD java -jar hello-microservice-1.0-SNAPSHOT.jar server hello-microservice.yaml
|From the Docker session, goto the hello-microservice-build directory and issue the command
||docker build -t hello-microservice-local .
The Docker build process uses a file named Dockerfile to get its instructions about what to do when building an image. In this particular microservice, the Dockerfile instructs the Docker system to download an image called 'java:8'. This is the core infrastructure needed to run the microservice. Next it adds the microservice jar and configuration to the image. And later, it exposes the ports 9000 and 9001 to service the requests.
docker build -t hello-microservice-local . (is the command that processes the Dockerfile and produces the hello-microservice-local image)
Note: make sure this command is issued from the Docker session and not just any command line session.
Once this Java Microservice Docker image is created, it must be run inside a Docker container using the following command:
|docker run -p 9000:9000 --name hello-microservice-local -t hello-microservice-local
|-p: exposes port 9000 to the host machine port
You can test the Microservice in the browser using: http://localhost:9000/java/microservice
Once this works, you can stop the microservice using: docker stop hello-microservice-local
Publish the Microservice Docker Image
Now that you have the Microservice Docker Image working locally, you can publish this image to DockerHub to share with your team. This can be accomplished as follows:
Steps to post your local image to the remote repository
|Get the image id of the local hello-microservice-local image
|Tag the local image for push to remote repository
docker tag localimageid yourdockerhubusername/hello-microservice-remote:latest
|Push to the remote repository
docker push yourdockerhubusername/hello-microservice-remote
Before testing the remote image, you need to delete the local images. Get the image id for both 'hello-microservice-local' and 'hello-microservice-remote' using: docker images
and remove the two images using the command: docker rmi -f imageid
Once, the images are removed, you can test the remote image using the following command:
|docker run -p 9000:9000 --name hello-microservice-remote -t yourdockerhubusername/hello-microservice-remote
Ecosystem development cloud France will receive IBM business partners on March 5th 2015.
All information is available on the following site: http://www-01.ibm.com/software/fr/channel/KO_BP2015/
The agenda in described here: http://www-01.ibm.com/software/fr/channel/KO_BP2015/agenda.html and the workshops here: http://www-01.ibm.com/software/fr/channel/KO_BP2015/ateliers.html
We will be happy to welcome you for face to face discussions.
Alain Airom (cloud solution architect).
With the recent exploration of cloud computing technologies, organizations are using cloud service models like infrastructure as a service (IaaS), platform as a service (PaaS) and software as a service (SaaS) along with cloud deployment models (public, private and hybrid) to deploy their applications.
There is a concept in the cloud world that is based on application characteristics: the concept of cloud-enabled and cloud-centric applications. In this blog post, Dan Boulia provides a concise explanation about the concept.
You can say that a cloud-enabled application is an application that was moved to cloud, but it was originally developed for deployment in a traditional data center. Some characteristics of the application had to be changed or customized for the cloud. On the other hand, a cloud-centric application (also known as cloud-native and cloud-ready) is an application that was developed with the cloud principles of multi-tenancy, elastic scaling and easy integration and administration in its design.
When developing an application that will be deployed in the cloud, you must keep the cloud principles in mind. They should be taken into account as part of the application. So we come to the first point: Is it better to work within an existing application or to completely redesign it? There is no exact answer because it depends. You have to evaluate the level of effort (labor, time and cost) to transform the application into cloud-enabled versus the effort to completely redesign it to a cloud-centric application.
The second point is: Will my cloud-enabled application work better than a new cloud-centric application? Here I would say no. It’s rare to find an existing traditional application that was developed with any of the cloud principles in mind. It may be possible to construct the same feel (for the user) as a cloud-centric application, but it will not function the same way internally.
Changing an existing application could be easier since you already have the skills and tools in the organization and you won’t need to learn any new technology. However, while it may be easier to change the application, in the long term it will be harder to maintain. New technologies (social media, mobile, sensors) continue to appear and it is becoming more important to integrate them. Doing this will require additional and continuous effort and may exponentially increase development and supporting costs.
Now comes the third point: What can you use to help expedite the move or redevelopment of an existing application to a cloud-centric model? Many cloud companies have development tools that can help an organization on this path. For instance, IBM has recently announced IBM Bluemix, a development platform to create cloud-centric applications. Shamim Hossain explains the capabilities in more detail in his blog post. Another option is to use IBM PureApplication System to expedite the development.
I discussed some points here that I hope can provide a better understand about an important concept in cloud computing and how to address it. Let me know your thoughts on it! Follow me at Twitter @varga_sergio to talk more about it
Come to the first Cloud Foundry Meetup in the Waltham area this coming Wednesday, December 11th!
This meetup is your opportunity to learn more about Cloud Foundry and meet people excited about the technology.
On the agenda is an Introduction to Cloud Foundry: the technology and the community by Chris Ferris of IBM.
This will be followed by a talk by Renat Khasanshyn of Altoros on Implementing Cloud Foundry 2.0.
More information at: //bit.ly/1azS5PX
Managing software and product lifecycle integration has always been a challenge and with the rate of the new demands on the enterprise the challenges are increasing. Leaders from different standards organizations and industry will lead interactive discussions on the importance of open technologies to help enterprises manage the lifecycle activities within their environments. Learn about the direction lifecycle integration is taking as a result of the inclusion of open standards and the importance of this work to you. You will also hear how you can bring forward your requirements and influence the supporting work activities.
The Open Lifecycle Summit will feature short lightning talks and panel discussions with industry leaders such as OASIS CEO Laurent Liscia, Tasktop CEO Mik Kirsten, Opscode VP of Solutions George Moberly, and IBM Fellows Michael Michael Kaczmarski and Kevin Stoodley, and IBM VP of Standards and IBM Cloud Labs, Dr. Angel Diaz.
The Summit is free to attend for all those attending IBM Innovate. Join us for an exciting session and refreshments to start your attendance at Innovate 2013. For more information and to RSVP visit http://ibm.co/16jTusU
The challenges of
virtualized environments are driving the shift to greater integration of
service management capabilities such as image and patch management, high-scale
provisioning, monitoring, storage and security. Join us for this webcast to learn how
organizations can realize the full benefits of virtualization to reduce
management costs, decrease deployment time, increase visibility into
performance and maximize utilization.
If you're in North America, register here for the April 16th session:
If you're in Asia Pacific, register for the April 23rd session:
Even though server proliferation can be partially addressed through virtualization, the usage of virtual and physical assets becomes complex to accurately assess or manage. Cost management is crucial to integrate into overall service management, especially with a move into cloud. This webcast discusses how to implement a financial management roadmap and the key requirements for cloud transparency-- the ability to allocate IT costs, usage, and value.
Register today: http://bit.ly/VXXxl3