The OSI model partitions network communication into seven abstraction layers, with each layer defining a class of functionality. Layer 1 defines physical aspects like cables and signals. Layer 2 handles data flow and error checking. Layers 3 through 7 handle higher-level functions, with layer 3 defining routing and switching, layer 4 ensuring reliable data transfer, layer 5 managing sessions, layer 6 translating data, and layer 7 supporting direct user interaction. The model provides a standard framework for network communication that supports both connection-oriented and connectionless services and facilitates interoperability between different technologies.
Amazon CloudWatch is an AWS service that monitors resources and applications in the AWS cloud. It collects metrics, logs, and other operational data to provide visibility into resource utilization, application performance, and overall operational health. CloudWatch allows users to set alarms that watch metrics and trigger notifications or actions when thresholds are crossed. It also enables log aggregation, visualization of metrics and logs on dashboards, and integration with other AWS services like EC2 Auto Scaling and SNS.
AWS Fargate is a serverless compute engine that allows you to run containers without having to manage servers or clusters. With Fargate, you specify your application's resource needs and AWS handles provisioning the infrastructure required to run the containers. This removes the need to choose server types, decide when to scale resources, or optimize cluster packing. You pay only for the resources used by your containers. Fargate provides isolation at the individual task/pod level so containers don't share underlying resources. It works with both Amazon ECS and EKS, allowing containerized applications to be deployed with Fargate as the compute provider.
Eventual consistency vs Strong consistency what is the differencejeetendra mandal
Eventual consistency guarantees that if an update is made to one node, the update will eventually be propagated to all other replicas. This allows for high availability, though reads may temporarily return stale data. Strong consistency ensures all replicas are immediately updated and consistent before responding to reads or writes, at the cost of reduced availability during updates. The examples demonstrate how a social media "like" count may be seen differently by users until the update propagates under eventual consistency, whereas strong consistency would delay responses until global consistency is achieved.
Batch Processing vs Stream Processing Differencejeetendra mandal
Batch processing involves processing large batches of data together, and has higher latency measured in minutes or hours. Stream processing processes continuous data in real-time with lower latency measured in milliseconds or seconds. The key differences are that batch processing handles large batches of data while stream processing handles individual records or micro-batches, and batch processing has higher latency while stream processing has lower latency.
Difference between Database vs Data Warehouse vs Data Lakejeetendra mandal
A database is a collection of structured data that is accessed electronically through a database management system. It stores data to support online transaction processing. Databases provide security, data integrity, querying capabilities, indexing for performance, and flexible deployment options. Common database types include relational, document, key-value, wide-column, and graph databases. Applications across industries rely on databases to store various types of data.
Difference between Client Polling vs Server Push vs Websocket vs Long Pollingjeetendra mandal
Client polling, server push, websockets, and long polling are methods for real-time communication between clients and servers. Client polling involves the client regularly requesting updates from the server. Server push allows the server to proactively send updates to clients. With long polling, the server holds client requests until there is an update to send. Websockets provide full-duplex communication over a single TCP connection. Server push uses server-sent events to stream data from server to client without polling. Websockets enable bidirectional communication while server push only allows server to client. Both have advantages for different use cases depending on the need for bidirectional updates.
Difference between TLS 1.2 vs TLS 1.3 and tutorial of TLS2 and TLS2 version c...jeetendra mandal
TLS 1.3 offers improvements over TLS 1.2 such as faster handshake times, simpler cipher suites, and stronger security. TLS 1.3 reduces the number of round trips needed for handshake from two to one, improving performance. It also removes support for vulnerable algorithms and features like renegotiation. While TLS 1.2 is still widely used, migration to TLS 1.3 is growing due to its benefits like reduced latency, improved website performance, and more secure connections. Businesses may need to support both versions during transition to secure communications with legacy systems.
The OSI model partitions network communication into seven abstraction layers, with each layer defining a class of functionality. Layer 1 defines physical aspects like cables and signals. Layer 2 handles data flow and error checking. Layers 3 through 7 handle higher-level functions, with layer 3 defining routing and switching, layer 4 ensuring reliable data transfer, layer 5 managing sessions, layer 6 translating data, and layer 7 supporting direct user interaction. The model provides a standard framework for network communication that supports both connection-oriented and connectionless services and facilitates interoperability between different technologies.
Amazon CloudWatch is an AWS service that monitors resources and applications in the AWS cloud. It collects metrics, logs, and other operational data to provide visibility into resource utilization, application performance, and overall operational health. CloudWatch allows users to set alarms that watch metrics and trigger notifications or actions when thresholds are crossed. It also enables log aggregation, visualization of metrics and logs on dashboards, and integration with other AWS services like EC2 Auto Scaling and SNS.
AWS Fargate is a serverless compute engine that allows you to run containers without having to manage servers or clusters. With Fargate, you specify your application's resource needs and AWS handles provisioning the infrastructure required to run the containers. This removes the need to choose server types, decide when to scale resources, or optimize cluster packing. You pay only for the resources used by your containers. Fargate provides isolation at the individual task/pod level so containers don't share underlying resources. It works with both Amazon ECS and EKS, allowing containerized applications to be deployed with Fargate as the compute provider.
Eventual consistency vs Strong consistency what is the differencejeetendra mandal
Eventual consistency guarantees that if an update is made to one node, the update will eventually be propagated to all other replicas. This allows for high availability, though reads may temporarily return stale data. Strong consistency ensures all replicas are immediately updated and consistent before responding to reads or writes, at the cost of reduced availability during updates. The examples demonstrate how a social media "like" count may be seen differently by users until the update propagates under eventual consistency, whereas strong consistency would delay responses until global consistency is achieved.
Batch Processing vs Stream Processing Differencejeetendra mandal
Batch processing involves processing large batches of data together, and has higher latency measured in minutes or hours. Stream processing processes continuous data in real-time with lower latency measured in milliseconds or seconds. The key differences are that batch processing handles large batches of data while stream processing handles individual records or micro-batches, and batch processing has higher latency while stream processing has lower latency.
Difference between Database vs Data Warehouse vs Data Lakejeetendra mandal
A database is a collection of structured data that is accessed electronically through a database management system. It stores data to support online transaction processing. Databases provide security, data integrity, querying capabilities, indexing for performance, and flexible deployment options. Common database types include relational, document, key-value, wide-column, and graph databases. Applications across industries rely on databases to store various types of data.
Difference between Client Polling vs Server Push vs Websocket vs Long Pollingjeetendra mandal
Client polling, server push, websockets, and long polling are methods for real-time communication between clients and servers. Client polling involves the client regularly requesting updates from the server. Server push allows the server to proactively send updates to clients. With long polling, the server holds client requests until there is an update to send. Websockets provide full-duplex communication over a single TCP connection. Server push uses server-sent events to stream data from server to client without polling. Websockets enable bidirectional communication while server push only allows server to client. Both have advantages for different use cases depending on the need for bidirectional updates.
Difference between TLS 1.2 vs TLS 1.3 and tutorial of TLS2 and TLS2 version c...jeetendra mandal
TLS 1.3 offers improvements over TLS 1.2 such as faster handshake times, simpler cipher suites, and stronger security. TLS 1.3 reduces the number of round trips needed for handshake from two to one, improving performance. It also removes support for vulnerable algorithms and features like renegotiation. While TLS 1.2 is still widely used, migration to TLS 1.3 is growing due to its benefits like reduced latency, improved website performance, and more secure connections. Businesses may need to support both versions during transition to secure communications with legacy systems.
Programs, processes, and threads are related but distinct concepts. A program is a passive set of instructions stored on disk. When executed, a program becomes an active process, which has its own memory space and resources. A process can contain multiple threads of execution that can run concurrently within the same memory space, allowing for parallelism. Threads are lightweight in comparison to processes and provide a way to improve application performance through parallel computing.
Carrier Advice for a JAVA Developer How to Become a Java Programmerjeetendra mandal
This document provides information on the career path for a Java developer. It discusses Java as a programming language, the responsibilities of Java developers including tasks like designing and building Java applications. It also describes the roles of senior and junior Java developers. The document emphasizes important Java concepts like OOP principles, frameworks like Spring, tools like JUnit, and skills like debugging. It explains why Java remains in high demand and skills a Java developer should focus on improving like APIs, design patterns, the JVM, and problem-solving.
How to become a Software Tester Carrier Path for Software Quality Testerjeetendra mandal
Manual testing refers to testing software manually to identify bugs, where manual testers collaborate with developers to evaluate test scripts and resolve issues. Automated testing uses scripted testing tools to validate software functionality and requirements faster than manual testing. The document discusses the skills required for software testers, including knowledge of databases, Linux commands, test management and defect tracking tools, programming languages, analytical skills, and communication skills. It also outlines typical software tester career paths and roles at different experience levels.
How to become a Software Engineer Carrier Path for Software Developerjeetendra mandal
Software engineers are responsible for creating different software programs that power many technologies and applications we use everyday. There are many types and roles for software engineers, including developing applications, systems, security features, and ensuring quality. Becoming a software engineer involves obtaining a relevant degree, mastering programming skills, databases, algorithms, software engineering theory, and gaining experience through projects. Experience can then be used to find jobs through websites, recruiters, freelancing, or networking in local tech communities. The field continues to evolve, with growing opportunities in areas like cloud, AI, blockchain, and cybersecurity.
Event is an object that describes a state change in an application or system. It is generated by some user or automated activity. Event listeners register to receive notifications of events and take appropriate actions. Notifications are messages or alerts sent by an application to notify users, either within the app or as push notifications when the app is not open. Notifications are used to encourage users to try features, alert them to non-critical issues like updates, or prompt them to enable push notifications if beneficial. Events and notifications are both mechanisms for asynchronous communication in applications and systems.
Architecture serves as a blueprint for a system, providing abstraction to manage complexity and coordination among components. It defines a structured solution meeting requirements while optimizing qualities like performance and security. Microservices are small, independent, loosely coupled services written by small teams, deployed independently using APIs. They improve build/deploy speed and scalability over monolithic architectures.
An event-driven architecture consists of event producers that generate event streams and event consumers that listen for events. It allows for loose coupling between components and asynchronous event handling. Key aspects include publish/subscribe messaging patterns, event processing by middleware, and real-time or near real-time information flow. Benefits include scalability, loose coupling, fault tolerance, and the ability to add new consumers easily. Challenges include guaranteed delivery, processing events in order or exactly once across multiple consumer instances. Common tools used include Apache Kafka, Apache ActiveMQ, Redis, and Apache Pulsar.
APM is a tool that monitors application performance and user experience by tracking metrics like load and KPIs. It allows seeing how applications are used by real users and identifying problems that impact sales or brand experience. Observability aggregates data from logs, metrics, and traces to assess overall system health, while APM directly focuses on gauging user experience. Both ensure good user experience but in different ways - APM actively collects data related to response time, while observability passively examines various data sources. Monitoring tracks predefined metrics over time to understand system status, but observability analyzes related data to determine the root cause of issues.
Disaster Recovery vs Data Backup what is the differencejeetendra mandal
Data backup involves making copies of data to protect against accidental deletion, corruption, or issues with software upgrades. Disaster recovery refers to processes for quickly restoring access and operations after an outage by switching to redundant servers and storage. While backups protect against data loss, disaster recovery ensures business continuity through tested plans to restore full systems and infrastructure. It is crucial for companies to have both backup and disaster recovery plans in place to avoid costly downtime and lost revenue from data or system loss.
Spinnaker is an open source continuous delivery platform that provides automated deployment capabilities for releasing software changes. It is designed to increase release velocity and reduce risk associated with updating applications. Spinnaker uses a microservices architecture and provides features like multicloud deployments, automated pipelines, deployment verification, and flexibility and extensibility through customization and extensions. It works by managing applications and their deployments through concepts like pipelines, stages, server groups, and deployment strategies.
Difference between Github vs Gitlab vs Bitbucketjeetendra mandal
Git is a source control management tool that tracks files by recording who made modifications, which files changed and what the changes were, and which files were added or deleted. It provides a commit history that allows users to check modifications by commit ID and see what changes were made in each commit. GitHub, GitLab, and Bitbucket are popular hosted Git services that allow users to create remote repositories, initialize local repositories connected to the remote, give access to multiple contributors, and push and pull changes between local and remote repositories.
Git is a version control software that allows tracking changes to documents similar to saving multiple versions of a file like "final1.pdf" and "final2.pdf". Github is a third party website that provides a graphical interface for Git, allowing multiple people to work on the same code simultaneously by pushing and pulling changes to a shared project copy, though changes do not update automatically and require pushing and pulling between computers.
Kubernates vs Openshift: What is the difference and comparison between Opensh...jeetendra mandal
Kubernetes is an open-source container orchestration system that automates deployment, scaling, and management of containerized applications. OpenShift is a container application platform from Red Hat that is based on Kubernetes but provides additional features such as integrated CI/CD pipelines and a native networking solution. While Kubernetes provides more flexibility in deployment environments and is open source, OpenShift offers easier management, stronger security policies, and commercial support but is limited to Red Hat Linux distributions. Both are excellent for building and deploying containerized apps, with OpenShift providing more out-of-the-box functionality and Kubernetes offering more flexibility.
ChatGPT is an AI chatbot created by OpenAI that can understand questions and provide answers in natural language. It was trained using reinforcement learning from human feedback on massive text datasets. In its initial release, ChatGPT is free to use but OpenAI may later monetize it due to high operating costs. While very capable, ChatGPT has limitations like an inability to gather new information or think critically.
Kubernetes Cluster vs Nodes vs Pods vs Containers Comparisonjeetendra mandal
Containers package applications and dependencies to run consistently across environments. Kubernetes uses containers grouped in pods, which are scheduled across nodes that provide computing resources. Nodes pool resources and run pods to distribute workloads, ensuring applications have necessary resources. Pods contain related containers and act as logical hosts, while nodes are physical or virtual machines that run pods.
Synchronous and asynchronous programming refer to two different models for executing tasks. Synchronous programming involves executing tasks sequentially in a specific order, blocking other tasks until each one is complete. Asynchronous programming allows tasks to run concurrently without blocking, improving responsiveness. While synchronous programming is simpler, asynchronous programming improves performance for long-running or I/O-bound tasks by making more efficient use of resources through parallelization. Examples of where asynchronous programming is particularly useful include batch processing large amounts of data and long-running background tasks like order fulfillment.
Amazon Redshift is a cloud data warehouse product built on top of ParAccel technology that handles large datasets and database migrations at petabyte scale. It differs from Amazon RDS in its ability to handle analytics workloads on big data using a columnar database. Redshift allows up to 16 petabytes of data storage compared to RDS Aurora's 128 terabytes. It uses parallel processing and compression to perform operations on billions of rows at once, making it useful for storing and analyzing large data volumes.
AWS Glue is a serverless data integration service that allows users to discover, prepare, and transform data for analytics and machine learning. It provides a fully managed extract, transform, and load (ETL) service on AWS. AWS Glue crawls data sources, automatically extracts metadata and stores it in a centralized data catalog. It then executes ETL jobs developed by users to clean, enrich and move data between various data stores.
Amazon Athena is a serverless interactive query service that allows users to analyze data directly stored in Amazon S3 using standard SQL. With Athena, users can point to their S3 data, define a schema, and immediately run ad-hoc queries without having to load the data into Athena. Athena uses Presto under the hood to distribute queries across the data and scales automatically based on usage. Customers are only charged based on the amount of data scanned from S3 for each query run.
UI5con 2024 - Keynote: Latest News about UI5 and it’s EcosystemPeter Muessig
Learn about the latest innovations in and around OpenUI5/SAPUI5: UI5 Tooling, UI5 linter, UI5 Web Components, Web Components Integration, UI5 2.x, UI5 GenAI.
Recording:
https://www.youtube.com/live/MSdGLG2zLy8?si=INxBHTqkwHhxV5Ta&t=0
Programs, processes, and threads are related but distinct concepts. A program is a passive set of instructions stored on disk. When executed, a program becomes an active process, which has its own memory space and resources. A process can contain multiple threads of execution that can run concurrently within the same memory space, allowing for parallelism. Threads are lightweight in comparison to processes and provide a way to improve application performance through parallel computing.
Carrier Advice for a JAVA Developer How to Become a Java Programmerjeetendra mandal
This document provides information on the career path for a Java developer. It discusses Java as a programming language, the responsibilities of Java developers including tasks like designing and building Java applications. It also describes the roles of senior and junior Java developers. The document emphasizes important Java concepts like OOP principles, frameworks like Spring, tools like JUnit, and skills like debugging. It explains why Java remains in high demand and skills a Java developer should focus on improving like APIs, design patterns, the JVM, and problem-solving.
How to become a Software Tester Carrier Path for Software Quality Testerjeetendra mandal
Manual testing refers to testing software manually to identify bugs, where manual testers collaborate with developers to evaluate test scripts and resolve issues. Automated testing uses scripted testing tools to validate software functionality and requirements faster than manual testing. The document discusses the skills required for software testers, including knowledge of databases, Linux commands, test management and defect tracking tools, programming languages, analytical skills, and communication skills. It also outlines typical software tester career paths and roles at different experience levels.
How to become a Software Engineer Carrier Path for Software Developerjeetendra mandal
Software engineers are responsible for creating different software programs that power many technologies and applications we use everyday. There are many types and roles for software engineers, including developing applications, systems, security features, and ensuring quality. Becoming a software engineer involves obtaining a relevant degree, mastering programming skills, databases, algorithms, software engineering theory, and gaining experience through projects. Experience can then be used to find jobs through websites, recruiters, freelancing, or networking in local tech communities. The field continues to evolve, with growing opportunities in areas like cloud, AI, blockchain, and cybersecurity.
Event is an object that describes a state change in an application or system. It is generated by some user or automated activity. Event listeners register to receive notifications of events and take appropriate actions. Notifications are messages or alerts sent by an application to notify users, either within the app or as push notifications when the app is not open. Notifications are used to encourage users to try features, alert them to non-critical issues like updates, or prompt them to enable push notifications if beneficial. Events and notifications are both mechanisms for asynchronous communication in applications and systems.
Architecture serves as a blueprint for a system, providing abstraction to manage complexity and coordination among components. It defines a structured solution meeting requirements while optimizing qualities like performance and security. Microservices are small, independent, loosely coupled services written by small teams, deployed independently using APIs. They improve build/deploy speed and scalability over monolithic architectures.
An event-driven architecture consists of event producers that generate event streams and event consumers that listen for events. It allows for loose coupling between components and asynchronous event handling. Key aspects include publish/subscribe messaging patterns, event processing by middleware, and real-time or near real-time information flow. Benefits include scalability, loose coupling, fault tolerance, and the ability to add new consumers easily. Challenges include guaranteed delivery, processing events in order or exactly once across multiple consumer instances. Common tools used include Apache Kafka, Apache ActiveMQ, Redis, and Apache Pulsar.
APM is a tool that monitors application performance and user experience by tracking metrics like load and KPIs. It allows seeing how applications are used by real users and identifying problems that impact sales or brand experience. Observability aggregates data from logs, metrics, and traces to assess overall system health, while APM directly focuses on gauging user experience. Both ensure good user experience but in different ways - APM actively collects data related to response time, while observability passively examines various data sources. Monitoring tracks predefined metrics over time to understand system status, but observability analyzes related data to determine the root cause of issues.
Disaster Recovery vs Data Backup what is the differencejeetendra mandal
Data backup involves making copies of data to protect against accidental deletion, corruption, or issues with software upgrades. Disaster recovery refers to processes for quickly restoring access and operations after an outage by switching to redundant servers and storage. While backups protect against data loss, disaster recovery ensures business continuity through tested plans to restore full systems and infrastructure. It is crucial for companies to have both backup and disaster recovery plans in place to avoid costly downtime and lost revenue from data or system loss.
Spinnaker is an open source continuous delivery platform that provides automated deployment capabilities for releasing software changes. It is designed to increase release velocity and reduce risk associated with updating applications. Spinnaker uses a microservices architecture and provides features like multicloud deployments, automated pipelines, deployment verification, and flexibility and extensibility through customization and extensions. It works by managing applications and their deployments through concepts like pipelines, stages, server groups, and deployment strategies.
Difference between Github vs Gitlab vs Bitbucketjeetendra mandal
Git is a source control management tool that tracks files by recording who made modifications, which files changed and what the changes were, and which files were added or deleted. It provides a commit history that allows users to check modifications by commit ID and see what changes were made in each commit. GitHub, GitLab, and Bitbucket are popular hosted Git services that allow users to create remote repositories, initialize local repositories connected to the remote, give access to multiple contributors, and push and pull changes between local and remote repositories.
Git is a version control software that allows tracking changes to documents similar to saving multiple versions of a file like "final1.pdf" and "final2.pdf". Github is a third party website that provides a graphical interface for Git, allowing multiple people to work on the same code simultaneously by pushing and pulling changes to a shared project copy, though changes do not update automatically and require pushing and pulling between computers.
Kubernates vs Openshift: What is the difference and comparison between Opensh...jeetendra mandal
Kubernetes is an open-source container orchestration system that automates deployment, scaling, and management of containerized applications. OpenShift is a container application platform from Red Hat that is based on Kubernetes but provides additional features such as integrated CI/CD pipelines and a native networking solution. While Kubernetes provides more flexibility in deployment environments and is open source, OpenShift offers easier management, stronger security policies, and commercial support but is limited to Red Hat Linux distributions. Both are excellent for building and deploying containerized apps, with OpenShift providing more out-of-the-box functionality and Kubernetes offering more flexibility.
ChatGPT is an AI chatbot created by OpenAI that can understand questions and provide answers in natural language. It was trained using reinforcement learning from human feedback on massive text datasets. In its initial release, ChatGPT is free to use but OpenAI may later monetize it due to high operating costs. While very capable, ChatGPT has limitations like an inability to gather new information or think critically.
Kubernetes Cluster vs Nodes vs Pods vs Containers Comparisonjeetendra mandal
Containers package applications and dependencies to run consistently across environments. Kubernetes uses containers grouped in pods, which are scheduled across nodes that provide computing resources. Nodes pool resources and run pods to distribute workloads, ensuring applications have necessary resources. Pods contain related containers and act as logical hosts, while nodes are physical or virtual machines that run pods.
Synchronous and asynchronous programming refer to two different models for executing tasks. Synchronous programming involves executing tasks sequentially in a specific order, blocking other tasks until each one is complete. Asynchronous programming allows tasks to run concurrently without blocking, improving responsiveness. While synchronous programming is simpler, asynchronous programming improves performance for long-running or I/O-bound tasks by making more efficient use of resources through parallelization. Examples of where asynchronous programming is particularly useful include batch processing large amounts of data and long-running background tasks like order fulfillment.
Amazon Redshift is a cloud data warehouse product built on top of ParAccel technology that handles large datasets and database migrations at petabyte scale. It differs from Amazon RDS in its ability to handle analytics workloads on big data using a columnar database. Redshift allows up to 16 petabytes of data storage compared to RDS Aurora's 128 terabytes. It uses parallel processing and compression to perform operations on billions of rows at once, making it useful for storing and analyzing large data volumes.
AWS Glue is a serverless data integration service that allows users to discover, prepare, and transform data for analytics and machine learning. It provides a fully managed extract, transform, and load (ETL) service on AWS. AWS Glue crawls data sources, automatically extracts metadata and stores it in a centralized data catalog. It then executes ETL jobs developed by users to clean, enrich and move data between various data stores.
Amazon Athena is a serverless interactive query service that allows users to analyze data directly stored in Amazon S3 using standard SQL. With Athena, users can point to their S3 data, define a schema, and immediately run ad-hoc queries without having to load the data into Athena. Athena uses Presto under the hood to distribute queries across the data and scales automatically based on usage. Customers are only charged based on the amount of data scanned from S3 for each query run.
UI5con 2024 - Keynote: Latest News about UI5 and it’s EcosystemPeter Muessig
Learn about the latest innovations in and around OpenUI5/SAPUI5: UI5 Tooling, UI5 linter, UI5 Web Components, Web Components Integration, UI5 2.x, UI5 GenAI.
Recording:
https://www.youtube.com/live/MSdGLG2zLy8?si=INxBHTqkwHhxV5Ta&t=0
Measures in SQL (SIGMOD 2024, Santiago, Chile)Julian Hyde
SQL has attained widespread adoption, but Business Intelligence tools still use their own higher level languages based upon a multidimensional paradigm. Composable calculations are what is missing from SQL, and we propose a new kind of column, called a measure, that attaches a calculation to a table. Like regular tables, tables with measures are composable and closed when used in queries.
SQL-with-measures has the power, conciseness and reusability of multidimensional languages but retains SQL semantics. Measure invocations can be expanded in place to simple, clear SQL.
To define the evaluation semantics for measures, we introduce context-sensitive expressions (a way to evaluate multidimensional expressions that is consistent with existing SQL semantics), a concept called evaluation context, and several operations for setting and modifying the evaluation context.
A talk at SIGMOD, June 9–15, 2024, Santiago, Chile
Authors: Julian Hyde (Google) and John Fremlin (Google)
https://doi.org/10.1145/3626246.3653374
WWDC 2024 Keynote Review: For CocoaCoders AustinPatrick Weigel
Overview of WWDC 2024 Keynote Address.
Covers: Apple Intelligence, iOS18, macOS Sequoia, iPadOS, watchOS, visionOS, and Apple TV+.
Understandable dialogue on Apple TV+
On-device app controlling AI.
Access to ChatGPT with a guest appearance by Chief Data Thief Sam Altman!
App Locking! iPhone Mirroring! And a Calculator!!
When it is all about ERP solutions, companies typically meet their needs with common ERP solutions like SAP, Oracle, and Microsoft Dynamics. These big players have demonstrated that ERP systems can be either simple or highly comprehensive. This remains true today, but there are new factors to consider, including a promising new contender in the market that’s Odoo. This blog compares Odoo ERP with traditional ERP systems and explains why many companies now see Odoo ERP as the best choice.
What are ERP Systems?
An ERP, or Enterprise Resource Planning, system provides your company with valuable information to help you make better decisions and boost your ROI. You should choose an ERP system based on your company’s specific needs. For instance, if you run a manufacturing or retail business, you will need an ERP system that efficiently manages inventory. A consulting firm, on the other hand, would benefit from an ERP system that enhances daily operations. Similarly, eCommerce stores would select an ERP system tailored to their needs.
Because different businesses have different requirements, ERP system functionalities can vary. Among the various ERP systems available, Odoo ERP is considered one of the best in the ERp market with more than 12 million global users today.
Odoo is an open-source ERP system initially designed for small to medium-sized businesses but now suitable for a wide range of companies. Odoo offers a scalable and configurable point-of-sale management solution and allows you to create customised modules for specific industries. Odoo is gaining more popularity because it is built in a way that allows easy customisation, has a user-friendly interface, and is affordable. Here, you will cover the main differences and get to know why Odoo is gaining attention despite the many other ERP systems available in the market.
SOCRadar's Aviation Industry Q1 Incident Report is out now!
The aviation industry has always been a prime target for cybercriminals due to its critical infrastructure and high stakes. In the first quarter of 2024, the sector faced an alarming surge in cybersecurity threats, revealing its vulnerabilities and the relentless sophistication of cyber attackers.
SOCRadar’s Aviation Industry, Quarterly Incident Report, provides an in-depth analysis of these threats, detected and examined through our extensive monitoring of hacker forums, Telegram channels, and dark web platforms.
Everything You Need to Know About X-Sign: The eSign Functionality of XfilesPr...XfilesPro
Wondering how X-Sign gained popularity in a quick time span? This eSign functionality of XfilesPro DocuPrime has many advancements to offer for Salesforce users. Explore them now!
Transform Your Communication with Cloud-Based IVR SolutionsTheSMSPoint
Discover the power of Cloud-Based IVR Solutions to streamline communication processes. Embrace scalability and cost-efficiency while enhancing customer experiences with features like automated call routing and voice recognition. Accessible from anywhere, these solutions integrate seamlessly with existing systems, providing real-time analytics for continuous improvement. Revolutionize your communication strategy today with Cloud-Based IVR Solutions. Learn more at: https://thesmspoint.com/channel/cloud-telephony
Microservice Teams - How the cloud changes the way we workSven Peters
A lot of technical challenges and complexity come with building a cloud-native and distributed architecture. The way we develop backend software has fundamentally changed in the last ten years. Managing a microservices architecture demands a lot of us to ensure observability and operational resiliency. But did you also change the way you run your development teams?
Sven will talk about Atlassian’s journey from a monolith to a multi-tenanted architecture and how it affected the way the engineering teams work. You will learn how we shifted to service ownership, moved to more autonomous teams (and its challenges), and established platform and enablement teams.
Top 9 Trends in Cybersecurity for 2024.pptxdevvsandy
Security and risk management (SRM) leaders face disruptions on technological, organizational, and human fronts. Preparation and pragmatic execution are key for dealing with these disruptions and providing the right cybersecurity program.
Top Benefits of Using Salesforce Healthcare CRM for Patient Management.pdfVALiNTRY360
Salesforce Healthcare CRM, implemented by VALiNTRY360, revolutionizes patient management by enhancing patient engagement, streamlining administrative processes, and improving care coordination. Its advanced analytics, robust security, and seamless integration with telehealth services ensure that healthcare providers can deliver personalized, efficient, and secure patient care. By automating routine tasks and providing actionable insights, Salesforce Healthcare CRM enables healthcare providers to focus on delivering high-quality care, leading to better patient outcomes and higher satisfaction. VALiNTRY360's expertise ensures a tailored solution that meets the unique needs of any healthcare practice, from small clinics to large hospital systems.
For more info visit us https://valintry360.com/solutions/health-life-sciences
Using Query Store in Azure PostgreSQL to Understand Query PerformanceGrant Fritchey
Microsoft has added an excellent new extension in PostgreSQL on their Azure Platform. This session, presented at Posette 2024, covers what Query Store is and the types of information you can get out of it.