Originally Kafka was developed under the Apache license but later Confluent forked on it and delivered a robust version of it. Actually Confluent delivers the most complete distribution of Kafka with Confluent Platform. Confluent Platform improves Kafka with additional community and commercial features designed to enhance the streaming experience of both operators and developers in production, at a massive scale. You can find thousands of documents about learning Kafka. In this article, we want to focus on using it in the microservice architecture, and we need an important concept named Kafka Topic for that. ... The final topic that we should learn about is before starting our stream processing project is Kstream. KStream is an abstraction of a record stream of KeyValue pairs, i.e., each record is an independent entity/event. In the real world, Kafka Streams greatly simplifies the stream processing from topics. Built on top of Kafka client libraries, it provides data parallelism, distributed coordination, fault tolerance, and scalability. It deals with messages as an unbounded, continuous, and real-time flow of records.
If digital is the heart of the modern organization, then data is its lifeblood. Most companies are swimming in it. Average broadband consumption, for example, increased 47 percent in the first quarter of 2020 over the same quarter in the previous year. Used skillfully, data can generate insights that help build focused, personalized customer journeys, deepening the customer relationship. This is not news, of course. But during the pandemic, many leading companies have aggressively recalibrated their data posture to reflect the new realities of customer and worker behavior by including models for churn or attrition, workforce management, digital marketing, supply chain, and market analytics. One mining company created a global cash-flow tool that integrated and analyzed data from 20 different mines to strengthen its solvency during the crisis. ... While it’s been said often, it still bears repeating: technology solutions cannot work without changes to talent and how people work. Those companies getting value from tech pay as much attention to upgrading their operating models as they do to getting the best tech.
Artificial intelligence, according to Oxford Insights, is the “next step in anti-corruption,” partially because of its capacity to uncover patterns in datasets that are too vast for people to handle. Humans may focus on specifics and follow up on suspected abuse, fraud, or corruption by using AI to discover components of interest. Mexico is an example of a country where artificial intelligence alone may not be enough to win the war. ... As a result, the cost of connectivity has decreased significantly, and the government is currently preparing for its largest investment ever. By 2024, the objective is to have a 4G mobile connection available to more than 90% of the population. In a society moving toward digital state services, the affordable connection is critical. The next stage is for the country to establish an AI strategy. The next national AI strategy will include initiatives such as striving toward AI-based solutions to offer government services for less money or introducing AI-driven smart procurement. In brief, Mexico aspires to be one of the world’s first 10 countries to adopt a national AI policy.
Why should you avoid using reserved (privileged) ports (1-1023)? Docker or Kubernetes will just map the port to something different anyway, right? The problem is that applications not running as root normally cannot bind to ports 1-1023, and while it might be possible to allow this when the container is started, you generally want to avoid it. In addition, the Node.js runtime has some limitations that mean if you add the privileges needed to run on those ports when starting the container, you can no longer do things like set additional certificates in the environment. Since the ports will be mapped anyway, there is no good reason to use a reserved (privileged) port. Avoiding them can save you trouble in the future. ... A common question is, "Why does container size matter?" The expectation is that with good layering and caching, the total size of a container won't end up being an issue. While that can often be true, environments like Kubernetes make it easy for containers to spin up and down and do so on different machines. Each time this happens on a new machine, you end up having to pull down all of the components.
We've proven that it can happen already, so that is down the line. But it's in the five- to 10-year range that it's going to take until we have that hardware available. But that's where a lot of the promises for these exponentially faster algorithms. So, these are the algorithms that will use these fault-tolerant computers to basically look at all the options available in a combinatorial matrix. So, if you have something like Monte Carlo simulation, you can try significantly all the different variables that are possible and look at every possible combination and find the best optimal solution. So, that's really, practically impossible on today's classical computers. You have to choose what variables you're going to use and reduce things and take shortcuts. But with these fault-tolerant computers, for significantly many of the possible solutions in the solution space, we can look at all of the combinations. So, you can imagine almost an infinite amount or an exponential amount of variables that you can try out to see what your best solution is.
The gang is the latest ransomware group to shutter operations, due in part to mounting pressures and crackdowns from international authorities that already have led some key players to cease their activity. In addition to Avaddon and SyNack, two heavy hitters in the game — REvil and DarkSide – also closed up shop recently. Other ransomware groups are feeling the pressure in other ways. An apparently vengeful affiliate of the Conti Gang recently leaked the playbook of the ransomware group after alleging that the notorious cybercriminal organization underpaid him for doing its dirty work. However, even as some ransomware groups are hanging it up, new threat groups that may or may not have spawned from the previous ranks of these organizations are sliding in to fill the gaps they left. Haron and BlackMatter are among those that have emerged recently with intent to use ransomware to target large organizations that can pay million-dollar ransoms to fill their pockets. Indeed, some think Ragnarok’s exit from the field also isn’t permanent, and that the group will resurface in a new incarnation at some point.
Quote for the day:
"Leadership is a matter of having people look at you and gain confidence, seeing how you react. If you're in control, they're in control." -- Tom Laundry