This site uses cookies to improve your experience. To help us insure we adhere to various privacy regulations, please select your country/region of residence. If you do not select a country, we will assume you are from the United States. Select your Cookie Settings or view our Privacy Policy and Terms of Use.
Cookie Settings
Cookies and similar technologies are used on this website for proper function of the website, for tracking performance analytics and for marketing purposes. We and some of our third-party providers may use cookie data for various purposes. Please review the cookie settings below and choose your preference.
Used for the proper function of the website
Used for monitoring website traffic and interactions
Cookie Settings
Cookies and similar technologies are used on this website for proper function of the website, for tracking performance analytics and for marketing purposes. We and some of our third-party providers may use cookie data for various purposes. Please review the cookie settings below and choose your preference.
Strictly Necessary: Used for the proper function of the website
Performance/Analytics: Used for monitoring website traffic and interactions
In the most public situations, the applications tip over completely — like we’ve seen most recently at Southwest Airlines, Twitter, FAA, and others which never get publicized — but you know who you are. Technical debt takes on various forms from source code smells to security risks to the more serious issue of architectural technical debt.
FThis article describes a pattern we have observed and applied in multi-team-scope architecture modernization initiatives, the Architecture Modernization Enabling Team (AMET). An AMET is a type of architecture enabling team that coordinates and upskills all teams and stakeholders in the modernization initiative.
Because microprocessors are so fast, computer architecture design has evolved towards adding various levels of caching between compute units and the main memory, in order to hide the latency of bringing the bits to the brains. We formulate the problem as a Mixed Integer Program (MIP).
Microservices architecture. When it comes to a Traditional CMS, the CMS and the resulting front-end website are built on a monolithic architecture. Monolithic architecture takes a back seat with headless CMSes. With this microservices architecture, everything you got from your Traditional CMS does not come out of the tin.
Additionally, DBMS is critical in reservation systems, where it stores and manages records like ticket bookings, schedules, seat allocation, and other pertinent transaction data for airlines, hotels, and railways.
Conventional, enterprise data architectures take months to develop and are complex to change. Widely used to track ecommerce shopping carts, financial transactions, airline flights and much more, in-memory computing can quickly store, retrieve, and analyze large volumes of live data. Its two core competencies are speed and scalability.
In this model, software architecture and code ownership is a reflection of the organisational model. Airline crew pairing and composition problem is an area of deep research. For instance, if one of the pilots get sick, the airline still has to run flight by allowing a replacement pilot to take over. You want to move fast.
This has allowed for more research, which has resulted in reaching the "critical mass" in knowledge that is needed to kick off an exponential growth in the development of new algorithms and architectures. We may have come a relatively long way with AI, but the progress came quietly.
Southwest Airlines has made headlines in recent days for all the wrong reasons: bad weather impacted air travel, which required Southwest to adjust plane and crew schedules. Those adjusted schedules were often logistically flawed because the planes and crews matched at a specific place and time didn’t make sense in the real world.
In addition, they can log contacts outside the company, such as taxi rides, airline flights, and meals at restaurants, so that community members can be notified if an employee was exposed to COVID-19. Community contacts are reported to managers who communicate with outside points of contact, such as airlines, taxi companies, and restaurants.
In addition, they can log contacts outside the company, such as taxi rides, airline flights, and meals at restaurants, so that community members can be notified if an employee was exposed to COVID-19. Community contacts are reported to managers who communicate with outside points of contact, such as airlines, taxi companies, and restaurants.
Typical uses include storing session-state and ecommerce shopping carts, product descriptions, airline reservations, financial portfolios, news stories, online learning data, and many others. From its inception, the design philosophy behind ScaleOut StateServer has been to simultaneously maximize both performance and ease of use.
Typical uses include storing session-state and ecommerce shopping carts, product descriptions, airline reservations, financial portfolios, news stories, online learning data, and many others. From its inception, the design philosophy behind ScaleOut StateServer has been to simultaneously maximize both performance and ease of use.
This interruption caused customer discontent, inconvenience, and a major loss of trust in the airline's capacity to provide dependable services.Revenue GenerationDowntime wreaks havoc on a business, affecting revenue, transactions, and customer engagement.
This interruption caused customer discontent, inconvenience, and a major loss of trust in the airline's capacity to provide dependable services.Revenue GenerationDowntime wreaks havoc on a business, affecting revenue, transactions, and customer engagement.
Whether it’s ecommerce shopping carts, financial trading data, IoT telemetry, or airline reservations, these data sets need fast, reliable access for large, mission-critical workloads. For more than a decade, in-memory data grids (IMDGs) have proven their usefulness for storing fast-changing data in enterprise applications.
Whether it’s ecommerce shopping carts, financial trading data, IoT telemetry, or airline reservations, these data sets need fast, reliable access for large, mission-critical workloads. For more than a decade, in-memory data grids (IMDGs) have proven their usefulness for storing fast-changing data in enterprise applications.
We organize all of the trending information in your field so you don't have to. Join 5,000+ users and stay up to date on the latest articles your peers are reading.
You know about us, now we want to get to know you!
Let's personalize your content
Let's get even more personalized
We recognize your account from another site in our network, please click 'Send Email' below to continue with verifying your account and setting a password.
Let's personalize your content