backlight中文

Of course it should go without saying that the fundamental cloud protocol TCP/IP must be included in the transformations supported by our proposed hybrid integration platform.

There are plenty of methods to build the tool. I’ve (quickly) explained one method in the video. It’s far to be the best one, but it’s cheap and efficient. So if you find a better method, let us know. 🙂

To fully understand why a frequently used PubSub platform like Kafka is the least ideal for the task, we need a balanced view of competing concepts and strategies. For example, many implementations fall into the ESB anti-pattern. Designing too much dependence into an ESB architecture for non-functional requirements and business business logic. In other words, ESB is great but it must be used correctly!

Subtle but important differences exist between Message Queue (MQ) and Pub-Sub platforms which are at the core of integration tools today; but these distinctions are blurring somewhat  now, as providers include many integration strategies within a single platform. Traditional MQ, for example, does not absolutely de-couple applications as PubSub does. MQ supports data exchange between applications and systems via message queues, but still requires message recipients to be named and configured, and connected apps must specify a queue manager. MQ, as an integration, simplifies the creation of business application interfaces. But there are many scenarios in which several enterprise applications require access to the data in a queue. Data security is an issue in such scenarios. PubSub has now evolved to fill this niche.

Applying sophisticated AI-based machine learning to automatically generate code based on high-level non technical user inputs, as well as code completion suggestions to enhance engineer performance, hybrid integration platforms can now automate tedious integration tasks. Through automated data mapping and data format recognition and translation, the newest Pulsar-based platforms more quickly and accurately apply interfaces. Such integration solutions pull in any and all existing integration technologies as required. Messaging platforms play the most central role in integration platforms. Message Queue Interface (MQI), Apache Pulsar, Java Message Service (JMS), REST, .NET, MQ Light and MQTT are among the most important components.

A misconception arises in the often observed ESB vs. Kafka approach. Event-based data flows which require real-time and batch processing demand flexible and agile microservices to extract intelligence from data while it is relevant in the analytics decision cycle. However, Kafka cannot deliver the performance of Apache Pulsar as proven in standard benchmarks. Hybridization emerges once again in the ESB ETL debate. Apache Pulsar overcomes the often published complaint that ESB cannot move massive data quickly. With Pulsar as the pubsub core of its event streaming platform, Yahoo integrates Yahoo Finance, Yahoo Mail, and Flickr with astonishing data throughput volumes including billions of events and transactions per day. It is not surprising that Pulsar’s scalability meets Yahoo’s requirements since Yahoo is the progenitor of Apache Pulsar.

Extraction Transformation and Loading (ETL) intends, as the name suggests, to deal with  data from multiple sources. There are existing tools for wrangling, customization, and formatting, all in the name of integration when seen in this scope, and all for insertion into an enterprise’s standard data warehouse. Designing and building an ETL process is complex, but tools exist to  make things easier, such as entity relationship diagramming utilities, known data models like StarSchema. And now there is also a standard mapping model. While ETL as a concept is complex, recall that our objective is to incorporate the best of ETL and ESB into our hybrid concept of integration. In other words, we are no longer stuck with the problems of one paradigm; we now select the best tools and methodologies from both ESB and ETL. We can do so by many means, and among the most productive of those means is the study of successful use cases.

It’s for everybody who has to light a scene in low light or pitch black condition. It could be used for urban exploration, nightscape, and -of course- light painting.

With the advent of increasingly “data-aware” integration strategies, real-time, Edge Compute, and even online processing are now very realistic for implementation today. Furthermore, with the recognition that only Apache Pulsar can support the massive data throughputs common in manufacturing, telecomm, and financial services industries today, many enterprises are now choosing to implement a hybrid implementation in conjunction with an expert partner, such as a Pulsar as a Service provider like Pandio. The lean data science engineers at Pandio have gleaned their expertise working with the legacy giants in the field, but now have the mobility to deploy their solutions for a small fraction of the giant’s overhead!

How is it possible to automate integration of enterprise software applications when unique data formats and disparate protocols make integration a very complex task? Remarkable integration providers such as IBM and Pandio have already created hybrid integration platforms which apply AI-powered automation to the laborious task of interfacing such enterprise apps as ERPs and CRMs.

Between the ghetto version with cardboard/kitchen aluminium foil/tape and the limited edition in Titanium/Swarovski/Dodo leather, everything is possible.

If you’re a light painter, the case is ready and waiting for your light jewels to be added. And if you’re not a light painter, you could stop the exposure and then now you are a light painter, as you have moved intentionally a light source during a long exposure. Welcome aboard. 🙂

The links between the front and the back parts should not block too much light, or they will project shadows on the sides. That’s why I’ve made them with a very thin width in the light axis.

I'm a Belgian light painter, member and local representative for the Light Painting World Alliance (LPWA) and Ligue Francophone de Light Painting (LFLP). With fun as main motive -and despite a big addiction to fireworks-, I try to spread the light painting virus to my fellow citizens.

The backlight scanner is light modifier to mount on a flashlight. Its main usage is to hide the light source from the camera while doing a backlight. But if the light source is moved from the background towards the camera during the exposure, it will “scan” the scene with the light and create a “path of light” in the scene. The scene is then going to be lighted with a soft and strange light which seems to be generated by the scene itself, while preserving the benefits of the backlight: textures and shapes are highlighted.

Photomyne

Many ESB middleware technologies available today are built on an older PubSub platform called Kafka. However, Kafka as ESB fails for a reason which is ironic in this scope: it fails to decouple computation and storage. Indeed, an essential integration principle – i.e. decoupling  via microservices within a platform – was not a fundamental Kafka design principle. Fortunately, the Cloud native PubSub platform Apache Pulsar does decouple compute from storage, which makes scaling large enterprise integrations much easier.

The answer: AI-based data format recognition and load-balancing are important factors, but speed is critical, especially in Edge Compute scenarios. The core component in the newest hybrid integration platforms, the conductor which orchestrates the five enterprise platforms in our case study to perform as one, is Apache Pulsar. As such, Pulsar-as-a-Service providers like Pandio now support the only true cloud native integration platform. These universal connectors harness multiple integration strategies to build true hybridizations including two or more of the following:

In fact, IBM’s MQ product has already evolved into a publish/subscribe platform precisely for this reason. Pub-Sub makes possible the full decoupling of target applications; any number of applications intended to be integrated can share information without knowing anything about each other – that’s the genius of PubSub. A sending application generically sends (publishes) data to a topic. Any number of consumers can subscribe to that topic and fetch the data. Pub-Sub platforms like Pulsar support authorization tokens so that the bookkeeper can determine the consumer’s access privileges, thus satisfying the critical security requirements of multi-tenancy. Now that we know PubSub is the best core integration tool, all that remains is to choose the correct PubSub platform.

Today, a task that was once among the most developer intensive, that of enterprise software integration, is being tamed and even standardized by the ingenuity of data science. Our objective here is to present a proven use case to demo Apache Pulsar as the fastest component of an Enterprise Service Bus (ESB). Before we begin that journey, let’s clarify some of the often confusing terminology around enterprise integration middleware and messaging platforms.

Bonus: as it lights the path in front of the tool, it’s really easy to move safely, even on a rough or overstocked terrains. No risk to fall in a pit in the dark!

So this tool is made for everyone. If you’re able to walk from the background towards the camera while holding a flashlight, during a long exposure, you’re qualified.

It’s not. No tool is creative, people are. The light painting community is known for bringing any tool to the next level very fast and I’m sure I will be amazed by the crazy creations which could derive from this.

In such an ecosystem, equipment and applications are interconnected to work toward common objectives. Hybrid integration strategies such as those we have discussed earlier will be required to achieve such an integration. In a typical manufacturing integration use case, the five key enterprise applications to be integrated are:

As new systems appear in all categories of technology, the most intense challenge is to make them all work harmoniously together, in other words: Integration. A “smart factory” is the ideal, and to achieve this ideal requires orchestrating many smart subsystems in a factory’s tech ecosystem.

The manufacturing industry is now in transformation because of the enormous potential of  Internet-of-Things, Big-Data, Edge Compute, and AI-based Analytics to innovate and:

The primary outcomes sought with multiple integrations include advanced analytics platforms to extract data from the above apps, sensors, devices, and files in order to facilitate complex analysis of factory performance and provide valuable insights to achieve optimization.

To name a few of the many integrations required, the PLC must be integrated with the MES to  accurately regulate process steps. Furthermore, devices including handheld scanners and cell

The trickiest part is to evaluate the distance between the front and the back parts. If it’s too short, then no direct light from the flashlight is going to get out of tool directly, you will only have bounced light. If it’s too long, then it will become very hard to stay hidden behind the front part. So it’s a balance to find between how large is the beam of your flashlight and how far away the source should be from the front part to have some light going out of the tool directly.

The vast event data streaming within the ESB scenario depicted in the diagram above will inevitably indicate Edge Compute methods to avoid streaming excessive data to Cloud apps. Edge Compute is one of the natural fits for Apache Pulsar, in which the desired outcome includes critical system performance forecasting. Maintenance forecasting, for example, requires the fastest updates from sensors, as well as the highest performance interface between enterprise application components.  Only Apache Pulsar can provide the ultra-reliable, low-latency communication services required with edge computing scenarios. And this is a factor of growing importance: edge-based ML is proven to enhance several aspects of such operations, including data privacy and security. Pulsar’s smart pipes and lightweight compute framework optimize edge compute for ML, also increasingly important in ESB frameworks.  The nature of data, including the size and time-dependence, the speed requirements for transmitting, as well as processing requirements, are all important factors in determining the accurate middleware solution required to interface two systems.

Well… Yes. No. Maybe. Technically, yes, you could plug the tool on a Universal Connector (or on a connector from another brand). But these connectors tend to have a small circle for the output; so they mostly keep only the central part of the light beam which is getting out of the flashlight. Which is perfect for the blades, fibers, swords, tubes, etc. But with the backlight scanner, the sides of the light beam are really useful (the central part of the beam is kind of blocked/bounced). A flashlight with a wide beam is perfect for this tool, in general. So, my best advice would be “try and let us know”. 🙂

phones need to communicate and share data with all the other enterprise apps. An objective of integration in this scope is to ensure an integral closed loop of information collection and control universal to the system. For example, the IoT sensor Equipment must comply with industry standard protocols including:

With the knowledge that essentially all enterprise software applications can be interfaced ultimately via the PubSub paradigm, how do we choose the most accurate PubSub provider?

There are plenty of ways to light a location, but -as long as I know- they all require practice and experience. Practice sounds like fun for the light painters, but it might be frustrating for the other types of photographers -who may not enjoy as much as we do to have to light the place 20 times in a row to get a single picture-. And even for the light painters: they tend to create amazing light shapes and beautiful effects, but they may find boring the lighting of the surrounding to include their creations in the space. It’s not always the blue hour (hi, Eric :)) or the full moon (hi, Denis :)).