The Internet of Things (IoT) industry is blooming in diverse sectors, but the energy industry is getting more focus and popularity. Also, IoT devices are synced with software to collect and exchange data with other devices and systems over the Internet. Devices of IoT are enabled with numerous apps in diverse industries, including energy.
In the energy sector, it can be used to enhance efficiency, reduce costs, and enhance sustainability. For example, IoT devices are used to monitor and optimize energy consumption in factories, buildings, and transportation systems. This further leads to significant energy savings. It can also facilitate the integration system of many renewable energy sources, such as wind and solar power, into the electricity grid by providing real-time data on energy production and consumption. Furthermore, IoT has many prospects to transform the business world by permitting greater optimization, automation, and control.
Having worked with many clients, I have come to the realization that data integration is a critical component of modern businesses that rely on data-driven insights. The number of enterprise applications, multi-cloud hosted applications, SaaS, PaaS, IaaS, and on-premises solutions is vast, and the complexity of integrating data from these data sources can be overwhelming.
What To Look For
There is no one-size-fits-all solution, but some pointers that have been helpful in my customer conversations include understanding the requirements around data freshness, reporting use cases (current vs. historical), transformations (ELT, ETL), CDC capabilities, and existing investments to maximize the value. With some qualified discovery questions, we can narrow down the options to a few solutions and ultimately launch a pilot-to-production process with the selected solutions to ensure feasibility.
From Kubernetes to Argo to Docker to Terraform, the most influential cloud-native innovations are open source. The high velocity and mass adoption of projects like Kubernetes show that in order to keep pace with innovation, the cloud-native community must come together, share best practices, foster collaboration, and contribute to next-generation technologies.
Open-Source and Cloud-Native
The Cloud Native Computing Foundation (CNCF), the largest open-source community in the world and the host of international events like KubeCon + CloudNativeCon and CloudNativeSecurityCon, rallies around the idea that open source and democratizing innovation are the best ways to make cloud-native technologies widely available. As a subset of the Linux Foundation, the CNCF brings together thousands of developers and cloud architects around the world to create and maintain hundreds of cloud-native open-source projects.
This week I've been reading through the recent judgment from the Swedish FSA on the Swedbank outage. If you're unfamiliar with this story, Swedbank had a major outage in April 2022 that was caused by an unapproved change to their IT systems. It temporarily left nearly a million customers with incorrect balances, many of whom were unable to meet payments.
After investigation, the regulator found that Swedbank had not followed its change management process and issued a SEK850M (~85M USD) fine. That's a lot of money to you and me but probably didn't impact their bottom line very much. Either way, I'm sure the whole episode will have been a big wake-up call for the people at the bank whose job it is to ensure adequate risk and change controls. So, what went wrong, and how could it have been avoided?
A lingering pandemic. Ongoing economic uncertainty. Geopolitical unrest.
As organizations examine budgets throughout the year to ensure they're on track, global inflation, higher prices, and spiking energy costs are still impacting businesses. Everyone is looking for cost savings as budgets have tightened.
Without the existence of Internet Protocol (IP) addresses to organize and route server-to-server communication across the globe, it's hard to imagine how the digital world would stay on its axis. Much in the same way our physical home and work addresses are required to direct the transport of physical products (i.e., letters and parcels) across county, state, and country lines, IP addresses necessarily facilitate the transfer and receipt of digital resources, representing the essential location and identification information that all reliable server communication depends on.
Like the post office in our building, or the mailbox next to our driveway, the edge of our computer network receives a wide variety of messages from external IP addresses, and the devices originating those messages are generally traceable based on their unique address. Tracking and storing IP address information is beneficial for several reasons — like storing customer demographic information, for example — but it also plays a crucial role in bolstering network security efforts. The reality is that external servers requesting our resources are provisioned with unpredictable motivations, most often well-intentioned but also, at times, malicious. As a result, ensuring the security of our system against client-side threat actors starts with evaluating what threatening IP addresses are and what policies we can put in place to weed out addresses with discernably malicious motivations.
A message broker has very different characteristics and use cases than a data streaming platform like Apache Kafka. A business process requires more than just sending data in real time from a data source to a data sink. Data integration, processing, governance, and security must be reliable and scalable end-to-end across the business process. This blog post explores the capabilities of message brokers, the relation to the JMS standard, trade-offs compared to data streaming with Apache Kafka, and typical integration and migration scenarios. A case study explores the migration from IBM MQ to Apache Kafka. The last section contains a complete slide deck that covers all these aspects in more detail.
Message Broker vs. Apache Kafka -> Apples and Oranges
TL;DR: Message brokers send data from a data source to one or more data sinks in real-time. Data streaming provides the same capability but adds long-term storage, integration, and processing capabilities.
A headless cluster in Amazon Aurora global database refers to a cluster that has no database instance attached to it. In other words, the cluster only includes the database storage and is used as a backup in case of a failure of the primary cluster. The primary cluster is the one that has a database instance attached to it and is serving the application's read and write requests. The headless secondary cluster is used for disaster recovery and to provide high availability for the database. The data in the primary cluster is automatically replicated to the headless secondary cluster, so in case of a failure, the secondary cluster can take over as the primary cluster and provide a seamless transition with minimal disruption.
In this article, we will see how to perform a failover with a headless Aurora Global Database and its outcomes.
Most organizations prefer to deploy containerized applications into K8s because of its scalability and flexibility. But as the number of microservices increased and application pods are distributed across multiple clusters and cloud providers, managing and scaling them has become complex.
While scaling, it is harder to configure complex communication logic between microservices. Also, there are additional concerns like securing and observing these connections. Without a proper management system for communication, service downtime and security breaches among distributed services become common.
In today's rapidly evolving technological landscape, Artificial Intelligence (AI) is transforming industries across the board, and software development is no exception. AI can significantly enhance developer experience by streamlining processes, automating repetitive tasks, and empowering developers to build innovative applications.
Improving developer experience with AI involves providing tools, frameworks, and resources that make it easier for developers to build, test, and deploy AI models.
Industrial enterprises use SCADA as a process control system to monitor data acquisition processes and oversee various related workflows. The data coming from OT devices is taken in by SCADA systems and integrated into the SCADA ecosystem as applications covering a range of use cases for the shop floor. So why does an industrial IoT platform still make sense here?
One downside of SCADA is that these systems are not made for rapid scaling. They do not accommodate change so easily. Most of the time, the processes are slow and inflexible. Further, the data collection processes, though robust, have their limitations. They are usually only suited for monitoring, supervision, and sending out alerts at best. More sophisticated analytics or use cases based on machine learning are out of reach.
Organizations have grappled with the cloud tagging challenge practically since the rise of cloud computing. Tags are the only mechanism that allows you to understand the cost of your cloud environment. But that's not all. Cloud tagging also plays a key role in governance and security.
A cloud tagging strategy specifies the standards and procedures that an organization must adhere to and execute. This plan shows your team how to use tags correctly (including appropriate formatting), who should produce them, and how tagging choices will be made.
A not-long time ago, the tech world was abuzz with a futuristic concept known as the Metaverse. This interconnected universe of virtual reality spaces, where individuals could interact in a simulated environment, was hailed as the future of technology. Fast-forward to the present, the hype around the Metaverse has fizzled out considerably. The technological focus has now shifted towards Generative AI, with the spotlight on large language models (LLMs) like GPT-4 and Google's Bard. But why has this shift happened, and what does it mean for the future of technology?
The Metaverse Hype and Its Fade
The Metaverse, inspired by science fiction, promised a future where people could virtually live, work, and play in a digitally created universe. The possibilities seemed endless: avatars interacting in virtual spaces, immersive gaming experiences, and a revolution in remote work and social interaction.
Debugging can be frustrating and time-consuming, but conditional breakpoints can help you pinpoint the exact moment when things start going haywire. In this guide, This piece will explore their advantages and equip you with advanced techniques that will take your debugging skills to a whole new level. Get ready to unleash the full potential of conditional breakpoints and embark on a debugging journey like no other.
Understanding Conditional Breakpoints
Conditional breakpoints are a game-changer in software development debugging. They go beyond traditional breakpoints by allowing developers to set specific conditions that trigger a breakpoint. Unlike traditional breakpoints that halt the program's execution at a particular line of code, conditional breakpoints only pause execution when a predetermined condition is met. This feature is particularly useful for isolating and resolving bugs in large codebases.
Digg He Started A COVID-19 Vaccine Company. Then He Hosted A Superspreader Event Reckoning With A Nazi Father Puppy Wants Toy, Bigger Dog Really Doesn't Want To Share Here's A Nifty Visualization Showing How Expanding Highways Makes Traffic Significantly Worse The Californians Are Coming. So Is Their Housing Crisis Your Indoor Plants Can Be An Art Installation With This Terrarium Here's Why Phones Look Weird In TV Shows 'I Will Destroy You': Biden Aide Threatened A Politico Reporter Pursuing A Story On His Relationship A Self-Described Feminist Who Thinks Phoebe Bridgers' Guitar Smashing Went Too Far, And More Of This Week's 'One Main Character' Why Are American Homes So Much Less Sturdy Compared To Other Places? Justin Timberlake Apologizes To Britney Spears And Janet Jackson Stan Lee's Disastrous Attempt At A Dot-Com Business Guy Who Only Does ...
DZone.com Feed Top IDEs in 2021 with Features and Prices Grow Professionally as a Backend Developer How to Find the Optimal Solution for Single Number LeetCode Problem? 5 Tips for Writing Accessible Code As a Software Engineer Implementing Google OAuth to Use Google API in Cloudflare Workers A Java developer's guide to Quarkus Creating Your Own Schema With the Adobe Document Generation Word Add-in Visualizing Sales Data With Arctype Dashboards Digging Out Data With Adobe PDF Extract API How Your Application Architecture Has Evolved Integrating Pub/Sub With MuleSoft The Key To a Good Start in Programming What Problems Are You Likely To Face When Adopting DevOps? Video Processing in AWS with Kinesis Video Streams A Complete Guide to Calculating Customer Acquisition Cost for SaaS Windows Management With Chocolatey Architecting Cloud Computing Solutions with Jav...
Gizmodo Supergirl's Cinematic Supersuit Is Here In a Tiny New Flash Tease 14 of Rick and Morty's Most Excellent Season 4 Moments This Bot Clicking Ads on Climate Articles Shows the News Is Broken Get a Look Inside Star Wars: Queen’s Hope, as Padmé Makes a Tough Decision How the FBI Is Trying to Break Encryption Without Actually Breaking Encryption I Hate Recycling How My Robot Vacuum Got Me Through the Pandemic Updates From The Suicide Squad, John Wick: Chapter 4, and More Why Venus Is Soon to Be the Most Exciting Place in the Solar System The Best Android 12 Features We've Found So Far This Weird Air-Filtering Face Mask Picked the Worst Possible Time PornHub's Parent Company MindGeek Faces Lawsuit for Allegedly Hosting Nonconsensual Sex Videos Pickpockets in Brazil Are Reportedly Going After Smartphones to Clean Out Victims' Bank Accounts Congressman Introduc...
Comments
Post a Comment