As systems get ever more complicated with more layers in the application stack, it can become more difficult to keep track of what is happening at all of the different, discrete levels and this is where distributed tracing comes into play.
In order to understand the security benefits offered by IBM Cloud Pak for Integration (CP4I), it is important to learn about what it is and what it does.
A new study shows that it is possible to use the genetic sequences of a person’s antibodies to predict what pathogens those antibodies will target. Reported in the journal Immunity, the new approach successfully differentiates between antibodies against influenza and those attacking SARS-CoV-2, the virus that causes COVID-19.
For every modern business to enjoy success in the market, it needs to accelerate its digital transformation. For the better part of the last decade, the world has experienced dramatic changes. These changes have had huge impacts on the way businesses operate. As a result, many organizations have been forced to shift to a digital model. The number of businesses succeeding in digital transformations continues to increase every day.
The IoT (Internet of Things) market is growing rapidly with increasing adoption of smart infrastructure to improve efficiency and countries initiating smart city projects. Today I’ll analyze Cisco Systems (CSCO), Zebra Technologies (ZBRA), and TE Connectivity (TEL), which are well-poised to benefit from this revolution. The Internet of Things (IoT) refers to connecting devices to the internet.
Businesses’ growing desire for more and more public cloud services is showing no signs of slowing down, according to the latest figures from Gartner. The analyst house predicted global public cloud spending will rise 20.4% in 2022 to a total of $494.7 billion, up from $410.9 billion in 2021. In 2023, Gartner predicts end-user spending on public cloud computing will reach nearly $600 billion.
Slowdowns caused by system disruption and complexities in your IT environment are more than an operational headache. They can have a direct impact on the bottom line. While it’s enormously important to make IT systems more efficient and give time back to the organization, it’s just as important to recognize the value of that time and understand the best ways to allocate it between workers, apps, and infrastructure.
I was intrigued by two recent IoT related survey and reports. They emphasise use cases about efficiencies and return on investments but, surprisingly, there is no mention of people-safety nor productivity. I think it is imperative to place people at the heart of the IoT universe. Today, people related use cases have been greatly understated. We will be doing a great injustice if we continue to ignore the human angle.
The terms “big data” have been tossed around so much in the past few years that many people see them as nothing but buzz words. And while it’s true, they are buzz words, they also signify a very large and very real trend that is happening across a huge number of industries right now. As technology continues to progress and evolve, big data plays an even bigger role and is causing sectors and businesses to reimagine processes and systems.
There has been a lot of coverage of machine learning (ML) for biological research, for radiology, and for other uses where the direct users are academics, researchers, and medical professionals. However, there is an opportunity for some biological information to be useful in the retail industry. One area is in skincare.
Interest is growing in cloud computing’s ability to reduce carbon, but the ‘green cloud’ argument is not as clear as many believe. I’ve argued over the years that cloud computing is a step in the right direction when it comes to sustainable computing. My viewpoint often opposes environmental organizations that argue against the many new power-hungry data centers that cloud companies build.
I was intrigued by two recent IoT related survey and reports. They emphasize use cases about efficiencies and return on investments but, surprisingly, there is no mention of people-safety nor productivity. I think it is imperative to place people at the heart of the IoT universe. Today, people related use cases have been greatly understated. We will be doing a great injustice if we continue to ignore the human angle.
Refereeing decisions at the World Cup have been debated decades later. From whether the ball crossed the line in the final in 1966, through Diego Maradona’s “Hand of God” two decades later, to some of the decisions made by the video assistant referee at Russia 2018, any perceived mistake by the referee will be scrutinized by fans years later. Referees need all the help they can get, and they could be about to be given a hand from artificial intelligence.
Developers strive to produce efficient code. Many times, developers will add code to their repositories and test it to make sure it works, but they are forgetting one very important step: benchmarking! Benchmarking allows developers to see the performance impact on their code output. If properly integrated into a CI/CD pipeline, it could prevent catastrophic drops in performance before any code is shipped/deployed at all.
Don’t let your organization fall victim to data exposure; a well-defined strategy will cover all aspects of the cloud shared responsibility model and keep your data secure. Not long ago, security concerns were the number one reason IT executives hesitated to move workloads to the cloud. Much has changed since then. Security is now considered one of the great strengths of both cloud infrastructure and software-as-a-service (SaaS) platforms. But that doesn’t mean total security is assured.
Big data is a funny phrase. It’s obvious that we produce a massive amount of data: 4.9 billion people use the internet for an average of seven hours per day. Hundreds of billions of sensors, located on everything from smartphones to satellites, stream data 24/7. You would think that big data software gives us the ability to discover all the insights in the world. At the very least, we should be able to pull data on demand. In reality, the process has been slow and limited.
It’s one of those questions that’s tossed around the internet quite regularly. “Is DevOps dead?” Is there a genuine reason to think that DevOps is on its last legs? Or are authors just trying to get clicks by making controversial statements? Let’s look at some of the main justifications given for raising this question: I’ll come back to these points shortly.
Industry analysts do primary research and two of the best, IDC and EMA (Enterprise Management Associates), have recently published some great insights for enterprises in 3 areas.
The benefits of Apache Kafka monitoring services are widely appreciated across the industry. Organizations that rely heavily on Apache Kafka for their data streaming needs can derive great benefit from the use of Kafka monitoring services. By keeping track of various different key performance indicators (KPIs) related to Kafka, such as message throughput and latency, organizations can ensure that their Kafka-based data pipelines are running as smoothly and efficiently as possible.
In order to answer this question, it is necessary to define what middleware is. It is generally accepted that middleware is software that sits between existing systems and processes and helps to smooth integration and interaction between them. Because of the sheer range of middleware and the scope of what it can do and affect in terms of business infrastructure, it is vital that it can be successfully monitored and managed.
