#API Q1 Course

[vatt-world]

h

Technical Skills (Java, Spring, Python)

Q1: Can you walk us through a recent project where you built a scalable application using Java and Spring Boot? A: Absolutely. In my previous role, I led the development of a microservices-based system using Java with Spring Boot and Spring Cloud. The app handled real-time financial transactions and was deployed on AWS ECS. I focused on building stateless services, applied best practices like API versioning, and used Eureka for service discovery. The result was a 40% improvement in performance and easier scalability under load.

Q2: What has been your experience with Python in data processing? A: I’ve used Python for ETL pipelines, specifically for ingesting large volumes of compliance data into cloud storage. I utilized Pandas and NumPy for processing, and scheduled tasks with Apache Airflow. The flexibility of Python was key in automating data validation and transformation before feeding it into analytics dashboards.

Cloud & DevOps

Q3: Describe your experience deploying applications on AWS or Azure. A: Most of my cloud experience has been with AWS. I’ve deployed containerized Java applications to AWS ECS and used RDS for relational storage. I also integrated S3 for static content and Lambda for lightweight compute tasks. In one project, I implemented CI/CD pipelines with Jenkins and CodePipeline to automate deployments and rollbacks.

Q4: How have you used Docker or Kubernetes in past projects? A: I've containerized all backend services using Docker and deployed them on Kubernetes clusters (EKS). I wrote Helm charts for managing deployments and set up autoscaling rules. This improved uptime and made releases smoother, especially during traffic spikes.

Collaboration & Agile Practices

Q5: How do you typically work with product owners and cross-functional teams? A: I follow Agile practices, attending sprint planning and daily stand-ups. I work closely with product owners to break down features into stories, clarify acceptance criteria, and provide early feedback. My goal is to ensure technical feasibility while keeping business impact in focus.

Q6: Have you had to define technical design or architecture? A: Yes, I’ve been responsible for defining the technical design for multiple features. For instance, I designed an event-driven architecture for a compliance alerting system using Kafka, Java, and Spring Cloud Streams. I created UML diagrams and API contracts to guide other developers.

Testing & Quality

Q7: What’s your approach to testing (unit, integration, automation)? A: I use JUnit and Mockito for unit testing, and Spring’s Test framework for integration tests. For end-to-end automation, I’ve worked with Selenium and REST Assured. I integrate these tests into Jenkins pipelines to ensure code quality with every push.

Behavioral / Cultural Fit

Q8: How do you stay updated with emerging technologies? A: I subscribe to newsletters like InfoQ and follow GitHub trending repositories. I also take part in hackathons and complete Udemy/Coursera courses. Recently, I explored Quarkus and Micronaut to compare their performance with Spring Boot in cloud-native environments.

Q9: Tell us about a time you challenged the status quo or proposed a modern tech solution. A: At my last job, I noticed performance issues due to a legacy monolith. I advocated for a microservices transition. I led a proof-of-concept using Spring Boot and Docker, which gained leadership buy-in. We eventually reduced deployment time by 70% and improved maintainability.

Bonus: Domain Experience

Q10: Do you have experience supporting back-office teams like Compliance or Finance? A: Yes, I’ve built reporting tools for Compliance and data reconciliation systems for Finance. I understand the importance of data accuracy and audit trails, and have used role-based access and logging mechanisms to meet regulatory requirements.

[toppromptengineeringcourse]

Understanding the Science Behind Effective Prompt Engineering

The rise of Artificial Intelligence (AI) and Natural Language Processing (NLP) has made it essential to communicate effectively with machines. One of the most crucial elements in this interaction is prompt engineering—the art and science of designing inputs that guide AI to generate the best possible responses. A well-crafted prompt can drastically improve the accuracy, relevance, and coherence of AI-generated content. But what makes a prompt effective? The answer lies in cognitive science, linguistics, and optimization techniques.

The Cognitive Science of Prompt Engineering

At its core, prompt engineering leverages human cognition and the way language models interpret patterns. Unlike traditional programming, where explicit instructions dictate outcomes, AI models like ChatGPT and GPT-4 work by predicting the next most likely word based on training data. To optimize this, we must consider the following cognitive factors:

1. Clarity and Specificity

Humans and AI both respond better to clear and specific prompts. Ambiguous prompts lead to vague or irrelevant answers. Instead of asking, “Tell me about marketing,” a more specific prompt would be, “Explain three data-driven marketing strategies for e-commerce.”

2. Context and Framing

AI models rely on context to provide accurate responses. Providing background information ensures better results. For example, instead of saying, “List benefits of automation,” a well-framed prompt would be, “What are the key benefits of automation in supply chain management?”

3. Cognitive Load Reduction

Overloading an AI with complex, multi-part questions can lead to confusing outputs. Breaking down queries into simpler, more digestible prompts improves response quality. For example, instead of asking, “How does AI improve healthcare, logistics, and education?” separate it into three different prompts.

Techniques for Crafting High-Performing Prompts

To maximize the efficiency of AI-generated responses, professionals use scientific methods and iterative refinement. Here are some of the most effective techniques:

1. Role-Based Prompting

Assigning a role to the AI model provides a framework for better responses. For example:

❌ Poor Prompt: “Write a financial report.”

✅ Better Prompt: “As a financial analyst, write a report on Q1 revenue trends for a SaaS company.”

2. Chain-of-Thought Prompting

Encouraging the AI to think step-by-step improves reasoning. Instead of simply asking for an answer, request the reasoning process:

❌ Poor Prompt: “What is 27 × 48?”

✅ Better Prompt: “Explain step-by-step how to calculate 27 × 48.”

3. Example-Based Prompting

Providing examples helps AI generate better-structured responses:

❌ Poor Prompt: “Write a product description.”

✅ Better Prompt: “Write a product description for a wireless noise-canceling headset, highlighting its battery life, sound quality, and comfort.”

4. Negative Prompting (Avoiding Certain Outputs)

To prevent undesired results, explicitly instruct the AI on what to avoid:

❌ Poor Prompt: “Write a summary of this article.”

✅ Better Prompt: “Write a summary of this article without using bullet points or numbered lists.”

Optimizing Prompts for Better AI Performance

1. Using Temperature and Tokens Wisely

In AI models like GPT-4, parameters such as temperature (randomness of responses) and token limits (word constraints) play a crucial role. Lower temperature values (e.g., 0.2) result in more deterministic responses, while higher values (e.g., 0.8) encourage creativity. Prompt Engineering Course

2. Iterative Testing and Refinement

AI responses improve through continuous testing and prompt adjustments. If an initial response is unsatisfactory, modifying and refining the prompt can yield significantly better results.

3. Leveraging AI Tools and APIs

Using tools like OpenAI Playground, Prompt Perfect, and other AI testing platforms allows professionals to experiment with prompt variations and optimize for different outputs.

Future Trends in Prompt Engineering

As AI evolves, prompt engineering will become more advanced, integrating real-time adaptability and self-optimizing models. Future trends include:

Automated prompt tuning: AI models that can learn and adapt prompts based on feedback.

Multimodal prompting: Combining text, images, and audio for richer interactions.

Hybrid AI-human collaboration: AI assisting users in refining prompts dynamically.

Conclusion

Effective prompt engineering is a blend of linguistic precision, cognitive science, and iterative refinement. By structuring prompts with clarity, context, and specificity, users can unlock AI’s full potential for accurate and insightful responses. As AI continues to develop, mastering prompt engineering will be an invaluable skill for businesses, researchers, and everyday users alike.

Trending Courses: Generative AI, Artificial Intelligence, Data Science with Generative AI, Generative AI for Devops

Visualpath is the Leading and Best Institute for learning in Hyderabad. We provide Prompt Engineering Online Training

You will get the best course at an affordable cost.

Call on – +91-7032290546

Visit: https://www.visualpath.in/prompt-engineering-course.html

[apiconsultancy-123]

avn_professional_quality_-_api_q1_syetem_establishment

API Q2 System Establishment focuses on implementing quality management systems for the oil and gas industry, ensuring compliance with API standards. API consultants in India offer expertise in API standards, assisting organizations in achieving certifications and improving operational efficiency. The API Auditor Course trains professionals to conduct audits effectively, emphasizing API Q1/Q2 standards, regulatory compliance, and best practices

[pradeep-45]

WhatsApp Marketing 2025: Must-Read Quick Guide for Business 

Introduction 

WhatsApp Marketing continues to change the way of interacting with customers for businesses in 2025.

WhatsApp is the critical channel through which 2 billion active users get accessed. It makes use of the WhatsApp Business API and WhatsApp Commerce to make automated processes as well as the best customer experience possible. 

Why WhatsApp Marketing 

Huge Reach: This platform reaches millions of people in the whole world, hence nothing else compares with it in connectivity. 

Customized Communication: Communicate directly to customers using customized messages. 

Connect CRM tools and make sure performance by integrating WhatsApp API. 

Features of WhatsApp for Businesses 

WhatsApp API Integration: Scalable solutions to automate notifications, reminders, and updates. 

WhatsApp Commerce: A game-changer in selling products right within the app 

WhatsApp Web Business: Manage your business communication efficiently from your desktop. 

Set Up: Download the WhatsApp Commerce app and customize your profile. 

Use WhatsApp Business API: For advanced features, integrate the API with your existing tools. 

Craft Campaigns: Use interactive messages, catalogs, and quick replies to enhance engagement. 

Summary 

Marketing WhatsApp in 2025 makes it possible to reach out to customers in a way never imagined before.  

Whether it's integration of the API or WhatsApp Commerce, there just isn't any such an end to it that will give cold shoulders to growth and engagement. Always add this interactive platform to your strategy and be ahead. 

FAQs 

 Q1. What is WhatsApp API and why does it matter? 

A1. WhatsApp API enables businesses to send automated messages and hence can scale up with integration with CRM tools. 

Q2. How does WhatsApp Commerce work? 

A2. With the feature of interactive catalogues and link payments, selling on this app has become easy and possible directly 

Q3. Is WhatsApp Business free? 

A3. Of course! However, some of the features developed on API incur charges while using them. 

UNLOCK WhatsApp MARKETING POTENTIAL TODAY! Level up your business communications! 

[aqts-usa-blog]

Lead Auditor Course

ISO 9001 Lead Auditor Course by AQSS USA provides you the knowledge of principles and techniques used for auditing a QMS.

Phone : 713 789 0885 E-mail : sales@aqss-usa.com Website : http://www.aqss-usa.com/training-courses/

[aqtsusa1]

On site Courses

On site Courses by AQSS USA provide hands on real life case studies to equip you with the knowledge you need.

Phone : 713 789 0885 E-mail : sales@aqss-usa.com Website : http://www.aqss-usa.com/training-courses/

[api-training]

API-U Approved Q1 Training - API Q1 and Monogram Consulting

API-U Approved Q1 Training – API Q1 and Monogram Consulting

Are you looking for API Q1 Training Course in Dammam, Saudi Arabia

Then you are at the right place. On this blog, we are not just going to pitch you to attend our training Course, our Instructors also going to provide a lot of valuable information on what, why and how API-U Q1 9th Edition work.

Eurotech conducts API-U Q1 9th Edition Course. Excellent chance to learn from the best in the Oil and…

[loadingmommy691]

Camtech Manuals

Camtech Manual For Lhb

Camtech Manuals Pdf

Camtech Manuals Download

Camtech Manuals For Sale

Comtech Manuals

CAMTECH MANUFACTURING

We are more than an company

Camptech Products Limited Unit 28 Stretford Motorway Estate Barton Dock Road Stretford, Manchester M32 0ZH Phone: +44 (0) Fax: +44 (0). CAMTECH Security Solutions high skills and experience coupled with its deep commitment to R&D ensure that whatever is done is the best and caters. Mission CAMTECH Security Solutions mission is to provide security to everyone and make them feel assured by continuously focusing on our four value drivers. MANUAL REV A 1/55-0, 555 MANUAL 4/3/06. TABLE OF CONTENTS 2 Cautions and Warnings 3 Introduction 4 Receiving Instructions 4 Specifications 5. Trumatic s3002 manual Tenvis th661 manual Rdso camtech manual Scribus manual pdf Ilive sound bar itb195b manual Swift standards handbook 2018 Rdso camtech manual.

Camtech has earmarked its commitment to quality and technology since the year 1999 and to consistently improve and develop zero leak and top quality valves. Stretched over 260,000 sq. ft of area, CAMTECH Manufacturing facility is based in Jebel Ali Free Zone which is well equipped to offer top quality valves for Oil & Gas, Pipelines, Refineries, Petrochemical, Power, Pharmaceutical, Water Industries, Construction, and other industries.

VALVE DESIGN

Our core abilities of understanding our clients’ requirements makes us strive for long in the same domain

MANUFACTURING

Being the global leaders in valve manufacturing business, we develop strong approach to the existing technology and marketing techniques.

QUALITY

Quality comes as our top priority and the same can be witnessed in each of our products and services.

Pressure Balance Plug Valve

Camtech Pressure Balanced Lubricated Plug valves robust in construction and easy In-Line maintainability.

PTFE Sleeved Plug Valve

Camtech Sleeved Plug valves are robust in construction and easy In-Line maintainability.

20

Years of Experience

1000+

Qualified Engineers

160+

Clients Approvals

30+

Countries Works

Camtech is committed to technology since 1999

Our quality products and management has been certified and accredited to all standards like ISO 14001, ISO 9001, OHSAS 18001, API 6D, API Q1, API 6A, API 600, and even more. We are the leading valve manufacturers with more than 100 leading oil and gas companies.

Products

Strives to provide the highest of quality in products and services to our customers, continually exceeding customer expectations while achieving superior company performance.

Quality control

Our all products are manufactured under ISO 9001 Quality Management Systems. Quality system certifications and quality manuals are available.

Production Philosophy

Our products are produced under documented processes in accordance with ISO 9001 Quality Management System.

Materials

Every material offers something different.Our stainless steel ball valves are sure to be corrosion resistant.

Get in Touch

If you’ve got questions or ideas you would like to share, send a message. For anything more specific, please use one of the addresses listed below.

Camtech Manual For Lhb

_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _

Click the city to view class schedule.

SESSION III-2021

Classes for future technical exams start Friday, September 10. Click here to register!

Classes for future technical exams start Friday, September 10. Click here to register!

SESSION III-2021

Classes for future technical exams start Friday, October 22. Click here to register!

IMPORTANT NOTES – Make sure you review your Cam Tech Home Study Course Book for important information regarding class schedule, books and supplies required for each class, how to sign up for the state exams, and what books and supplies are allowed for each exam.

MATH REVIEW/OSHA LECTURE– books and supplies required:

Camtech Manuals Pdf

Cam Tech Home Study Course Book

Calculator

Pencils/Pens, & Writing Pad(s)

OSHA

BUSINESS & FINANCE CLASSES – books and supplies required:

Cam Tech Home Study Course Book

Calculator

Pencils/Pens, & Writing Pad(s)

Contractors Manual

Builder's Guide to Accounting

AIA Documents

Camtech Manuals Download

TECHNICAL CLASSES – books and supplies required:

Camtech Manuals For Sale

Cam Tech Home Study Course Book

Calculator

Pencils/Pens, & Writing Pad(s)

ALL reference books EXCEPT Builder's Guide To Accounting and Contractors Manual

Comtech Manuals

CLASS SCHEDULE – Make sure you review the correct class schedule for your location AND license category.

[stefenanderson46-blog]

API Q1 Training

API Q1 Training, Course - Professional Services in Houston | AQSS–USA

Abacus Quality System Services Specializes in providing cost effective Quality Environmental Management Training and Auditing Services in USA and around the World.

http://www.aqss-usa.com/

[nnnnnnobita]

$NODY Is the best token in the world of cryptocurrency.

What is Nody?

$NODY Is the best token in the world of cryptocurrency.For a long time this token has been occupying its place in the market.The market value of this token was at a very high level and has come down a bit for the time being, although it is still very important.The price of any token in the market is not stable and the price of this token fluctuates However, these Token are very popular.$NODY token are the favorite of many big investors $NODY.This Token is really great because cryptocurrency has been running these token in the market since the beginning.Everyone thinks that this token will skyrocket later In real life there are so-called correspondence and real NODY For This logic was a logical consequence of the lifestyle Let it be saturated.I really like the concept of this project, good idea with strong team- We will support this project.

Nody provides instant access to EVM networks via the WebSocket API or Hypertext Transfer Protocol Secure to seamlessly create your dApps. Dedicated Nody dashboard supports a wide range of customization.

$NODY Future

$NODY_Token Its future is very bright.If you are talking about a good project for the future, then this project has to be said NODY. Because there is already a lot of criticism about the $NODY_token in the market Everyone’s favorite is this token There are many investors who have invested large amounts on these token They know that if they invest here they will get much better profits Needless to say, there is no better token for the future.Undoubtedly this token will occupy the top spot of cryptocurrency.We are very lucky nodi.ai - Registered at Namecheap.com Being able to be involved with it. $NODY_Token Cryptocurrency will be considered as the best token in the market.so - Domain Name For Sale | Dan.com those who want to catch the moon $NODY_Token use .Because $NODY_Token Will be going to the moon soon.

• Distributed and reliable infrastructure, one-click deployment and management

• Effortless dApps creation and integration

• Remote node launch and access

• Automatic nodes deployment and management

Why Invest On $NODY?

Currently everyone is hesitant to invest in cryptocurrency What will happen if you invest where.Those who want to invest but do not know where to do it, I would say you must $NODY_Token Invest in it Then you will get much better quality http://profit.So those who think that they will get good quality profit, they must invest on $NODY_Token again in a few days Even if you buy and hold $NODY_Token, you can make a lot of profit So I say to all investors, if you want to make more profit in a short time, of course $NODY_Token Bought and held Hold it and you will see that the wheel of your fortune has turned.

Success Of Use $NODY

$NODY_Token Users must be able to change their destiny.Because the demand for Nodi has already spread widely in the market.You can see how much space nodi.ai - Registered at Namecheap.com have in the market.Demand for this specialty has grown significantly as a result of recent corporate http://scandals.So those who are already associated with NODI will definitely get something better later. $NODY_Token Everyone should use this nodi.ai - Registered at Namecheap.com because it is a hundred times better.For those who think that cryptocurrency is and want to be financially prosperous $NODY Use.Then you will see that your change is automatic.

User Guide

Nody is still in closed beta, please email to support@nody.ai for an early access

NODY Token

Nody Token (NODY) will be required to activate any service on Powering the Web3 ecosystem platform.

Maximum supply: 1,000,000,000 NODY

Contract address: 0xA78060C2F161F5fAECcb96BE7CA2C9F9Df6c7a18

Decimals: 18

Network: BSC

Symbol: NODY

Roadmap

Earth✅(Q1 2022)

WebSocket and HTTPS Support ✅

Nody Closed Beta Launch ✅

Dedicated Nody Dashboard ✅

Moon (Q2 2022)

ETH Support ✅

BSC Support ✅

Campaign (Project Nody)

Delegate Service

NODY Staking

Venus (Q4 2022)

Public Beta Launch

NODIFY ME Proxy Launch

BugHunt

Mars (Q1 2023)

Public Launch 🚀

Tokenomics

About Project Team

$NODY The team members of the project is a project run by highly intelligent and expert person.They are carrying on their project in a very beautiful way.With their plan, the cryptocurrency will reach a much higher place.All the members of this team work very hard.And their hard work will take them to the top of their http://success.In a word, their plan is unparalleled and their success will be 100% sure.

About Bounty Manager

CryptopreneurBrainboss Bounty Manager And the rest of the members work hard.They have won the hearts of all Bounty Hunters by showing the speed of their work Truly their team is a team full of extreme popularity At present they are located across a lot of cryptocurrencies To be successful they will one day reach the extreme top The bounty is well managed.That’s why Bounty Hunter is waiting for CryptopreneurBrainboss Manager Bounty to come.

Conclusion

Undoubtedly nodi.ai - Registered at Namecheap.com A good quality and beautiful project.The project will take a much better stage at the initiative of all the experienced members of this team.This will certainly be a successful project as it has a great team that is more than qualified and focused on making this project a succes. I have no doubt towards this project and this will sure will achieve a great success.I actively follow the news of the project and I really like the format of communication of the team.Everyone has a duty to be involved in this project because missing out on a good quality project like this is nothing but nonsense.

Social Media

Twitter: Nody (@Nody_ai) | Twitter

Telegram: Nody_ai

Medium: Nody – Medium

Discord: Join the Nody.ai Discord Server!

Reddit: nody_ai • r/nody_ai

Author

Forum Username: nnnnnnobita Forum Profile Link: https://bitcointalk.org/index.php?action=profile;u=3462591 Wallet Address: 0x139be1D35a8F51A152Ef092bC9539A526896D3AA

[apiconsultancy-123]

Advance your auditing skills with AVN Professional's API Q1 Auditor Training. Tailored for the oil and gas sector, this comprehensive course equips professionals with the knowledge to conduct effective audits, ensuring compliance with API Q1 standards and enhancing quality management systems.

[lookchem-cas]

GMP Grade High Purity Parmaceutical Intermediate API Raw Powder CAS # 83905-01-5 Azithromycin Dihydrate

Azithromycin is a semi-synthetic 15-membered macrolide antibiotic. White or quasi-white crystalline powder; odorless, bitter; slightly damp. This product is soluble in methanol, acetone, chloroform, anhydrous ethanol or dilute hydrochloric acid, and almost insoluble in water.

Basic information: Azithromycin dihydrate 83905-01-5

Product Description

Product Name Azithromycin dihydrate

Synonyms AZITHROMYCIN 2-HYDRATE;1-Oxa-6-azacyclopentadecan-15-one, 13-(2,6-dideoxy-3-C-methyl-3-O-methyl-.alpha.-L-ribo-hexopyranosyl)oxy-2-ethyl-3,4,10-trihydroxy-3,5,6,8,10,12,14-heptamethyl-11-3,4,6-trideoxy-3-(dimethylamino)-.beta.-D-xylo-hexopyranosyloxy-, dihydrate, (2R,3S,4R,5R,8;AZITHROMYCINDIHYDRATE(PATENTED-NOSUPPLY);1-Oxa-6-azacyclopentadecan-15-one, 13-[(2,6-dideoxy-3-C-methyl-3-O-methyl-a-L-ribo-hexopyranosyl)oxy]-2-ethyl-3,4,10-trihydroxy-3,5,6,8,10,12,14-heptamethyl-11-[[3,4,6-trideoxy-3-(dimethylamino)-β-D-xylo-hexopyranosyl]oxy]-, dihydrate, (2R,3S,4R,5R,8R,10R;1-Oxa-6-azacyclopentadecan-15-one, 13-[(2,6-dideoxy-3-C-methyl-3-O-methyl-a-L-ribo-hexopyranosyl)oxy]-2-ethyl-3,4,10-trihydroxy-3,5,6,8,10,12,14-heptamethyl-11-[[3,4,6-trideoxy-3-(dimethylamino)-β-D-xylo-hexopyranosyl]oxy]-, dihydrate, [2R-(2R*,3S*,4R*,5R*,8R*,10R*,11R*,12S*,13S*,14R*)]-;azithromycin hydrate;Azithromycin (100 mg);(2R,3S,4R,5R,8R,10R,11R,12S,13S,14R)-13-[(2,6-Dideoxy-3-C-Methyl-3-O-Methyl-α-L-ribo-hexopyranosyl)oxy]-2-ethyl-3,4,10-trihydroxy-3,5,6,8,10,12,14-heptaMethyl-11-[[3,4,6-trideoxy-3-(diMethylaMino)-β-D-xylo-hexopyranosyl]oxy]-1-oxa-6-azacyclopentadecan-15-one Dihydrate

CAS 83905-01-5

MF C38H72N2O12

MW 748.99

EINECS 1592732-453-0

Product Categories Macrolides (Antibiotics for Research and Experimental Use);Antibiotics for Research and Experimental Use;Biochemistry;Carbohydrates & Derivatives;Chiral Reagents;Intermediates & Fine Chemicals;Pfizer compounds;Pharmaceuticals;SELDANE;Inhibitors

applicationFor respiratory infections, urinary tract infections, skin and soft tissue infections and sexually transmitted diseases

Chemical Properties: Azithromycin dihydrate 117772-70-0

Melting point 126 C

Boiling point 717ºC

alpha D26 -41.4° (c = 1 in CHCl3)

refractive index 47 ° (C=2, EtOH)

RTECS RN6960000

Fp >110°(230°F)

storage temp. -20°C Freezer

solubility Soluble in DMSO at 20mg/ml. Also soluble in chloroform or ethylene chloride

Merck 14,915

Spec. Azithromycin dihydrate 117772-70-0

ITEMSSPECIFICATIONSRESULTS

AppearanceA White or almost white crystalline powder Conforms

SolubilityPractically insoluble in water,freely soluble in

anhydrous ethanol and in methylene chloride Conforms

IdentificationIRConforms

HPLC

CrystallinityMeet the requirements Conforms

PH9.0 ~ 11.09.9

Related substancesDesosaminylazithromycin ≤0.3%DL

N-demethylazithromycin ≤0.7%0.001

Any other single impurity ≤1.0%Conforms

Total impurities≤3.0 %0.015

Residual solventsAcetone ≤0.5%0.003

Loss on drying4.0 % ~ 5.0%0.045

Residue on Ignition≤0.3%0.0004

Melting point50 °C ~ 60 °C50 °C ~ 60 °C

Sulphate ash≤0.1%0.0005

Heavy metals≤ 25 ppmNMT25 ppm

Assay

( calculated on the anhydrous basis)945 ug ~ 103 ug of azithromycin per mg982 ug/ mg

ConclusiionThis product complied with the standard of Enterprise/USP

TestsSpecificationResults

DescriptionWhite or almost white powderComplies

SolubilityPractically insoluble in water, freely soluble in ethanol and in methylene chloride.Complies

Identification

A)IR spectrumConforms to azithromycin RSComplies

B)Rt HPLCConforms to azithromycin RSComplies

Specific rotationBetween -45°and -49°-47.6°

CrystallinityMeets the requirementsMeets the requirements

PHBetween 9.0 and 11.010.32

WaterBetween 4.0%and 5.0%4.7%

Residue on ignitionNot more than 0.3%0.08%

Heavy metalsNot more than 25ppmComplies

AssayNot less than 945μg and more than 1030μg of azithromycin(C38H72N2O12) per mg, calculated on the anhydrous basis967μg per mg

MethanolNot more than 0.3%0.031%

EthanolNot more than 0.05%0.0068%

AcetoneNot more than 0.5%0.1475%

ChloroformNot more than 0.006%0.0037%

Function

Temozolomide is used in the treatment of adults with refractory pleomorphic glioblastoma and anaplastic astrocytoma of chemotherapy drugs.

1.Azithromycin Dihydrate is used for acute throat and tonsillitis which are caused by streptococcus pyogenes, otitis media sinusitis acute bronchitis skin soft tissue infection which are caused by sensitive bacteria.

2.Azithromycin Dihydrate is also used for pneumonia urethritis cervicitis and so on.

Suitable for sensitive caused by the bacterium respiratory tract, skin soft tissue infection caused by the original body of garment of sexually transmitted diseases. For influenzae, pneumococci and mo draw CARDS he caused by bacteria etc of acute brochitis, chronic obstructive pulmonary disease amalgamative infection, pneumonic wait for the efficient above 90%, bacterial remoal reach 85%. For pyogenes, aureaus etc caused furuncle swollen, cellulitis wait, use this product daily 1 times 5 therapy (1.5 g), total cure for 53% ~ 74%, efficient 90%, its curative effect and the benzene thiazole Westwood, erythromycin and cephalosporins ampicillin similar. Single-agent 1g treatment for chlamydial infection, its curative effect with ciprofloxacin or doxycycline grain phase.

Packing

1. Client is first. We are trying to bring maximum profit to our clients and we only share small.

2. Credibility is the most important.

3. Quality control is our life.

4. Great sense of responsibility.

5. We will be responsible for not only our products, our clients, our suppliers, also the society

FAQ

Q1:Can I get a sample?

A:Of course. For most products we can provide you a free sample, while the shipping cost should undertake by your side.

Q2:What's the MOQ?

A: For the high value product, our MOQ starts from 1g and generally starts from 10g.

For other low value product, our MOQ starts from 100g and 1kg.

Q3:Is there any discount?

A:Yes, different quantity has different discount.

Q4: How to confirm the Product Quality before placing orders?

A: By sending you our available free samples.Or if you have special requirement on the goods, we can prepare samples according to your requirement for your confirmation.

Q5:What's your lead time?

A:We can arrange the shipment in 3 working days after receiving your payment, except the customised products.

introduce

1.Azithromycin is used to treat or prevent certain bacterial infections, most often those causing middle ear infection, strep throat , pneumonia, typhoid, and sinusitis

2.It has used primarily to prevent bacterial infections in infants and those with weaker immune system

3.It is also effective aganinst certain sexually transmitted infections , such as non-gonococcal urethritis, chlamydia and cervicitis

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7.Azithromycin is also used for pneumonia urethritis cervicitis and so on.

Company Profile

Arshine Group is composed of 5 subsidiaries, including Arshine Pharmaceutical Co.,Ltd, Arshine Food Additive Co., Ltd, Arshine Animal Healthcare Co., Ltd, Arshine Life Science Co., Ltd and Hangzhou Arshine Branch. Arshine specializes in exporting human and veterinary API, vitamins, amino acids, minerals, food and feed additives and plant extracts etc. Arshine has exported around 2000 products to 90 countries and areas in Europe, Middle East, East Asia and South Asia. Since establishment, Arshine’s annual sales volume has increased from USD 1 million to USD 100 million, growing hundredfold in 10 years. Having established long-term cooperation with more than 800 manufacturers, Arshine is regional sales representative or even exclusive agent for many manufacturers nowadays. To our pride, Arshine ranks among top 10 in all pharmaceutical raw materials export enterprises in China, top 3 in the private exporters.

After-sale Service : Sales: 24hours to reply your E-mail Market information trend share with customers Suggestion for purchase decision Financial: Different payment terms: TT, LC, DP and so on Sino-Sure credit application and market risk control Shipment conditions: Update the whole process from China to destination 10 days by air & 14 days by sea to finish usually Fast custom clearance at destination Doc after shipment date: Same day for air shipment and LCL sea shipment 3 working days for FCL sea shipment 100% clear and perfect docs Reputation: Implementing contract terms strictly Timely solve any discrepancy or goods claims Take our responsibility for loss if it is our liability Others: Assistant: sample working; help you solve the problem in China with others Registration: pr

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On AWS DocumentDB. Interview with Barry Morris

“We built DocumentDB to implement the Apache 2.0 open source MongoDB APIs, specifically by emulating the responses that a MongoDB client expects from a MongoDB server. We don’t support 100 percent of the APIs today, but we do support the vast majority that customers actually use. We continue to work back from customers and support additional APIs that customers ask for.” — Barry Morris. I have interviewed Barry Morris, GM ElastiCache, Timestream and DocumentDB at AWS. We talked about DocumentDB RVZ. Q1. AWS has many database services now. Why DocumentDB? Why did you build it? Barry Morris: At AWS we believe customers should choose the right tool for the right job, and we don’t believe there’s a one size fits all database given the variety and scale of applications out there. Customers using our purpose-built databases don’t have to compromise on the functionality, performance, or scale of their workloads because they have a tool that is expressly designed for the purpose at hand. In the case of Amazon DocumentDB (with MongoDB compatibility) we offer a fast, scalable, highly available, and fully managed document database service that is purpose-built to store and query JSON. We built Amazon DocumentDB because customers kept asking us for a flexible database service that could scale document workloads with ease. Amazon DocumentDB has made it simple for these customers to store, query, and index data in the same flexible JSON format that is generated in their applications, so it is highly intuitive for their developers. And it achieves this expressive document query support while also maintaining the high availability, performance, and durability required for modern enterprise applications in the cloud. Similar to our other AWS purpose-built database services, Amazon DocumentDB is fully managed, so customers can scale their databases with clicks in the console rather than executing a planning exercise that takes weeks. Finally, because many of our customers with document database needs are already enthusiastic about and familiar with the MongoDB APIs, we designed Amazon DocumentDB to implement the Apache 2.0 open source MongoDB APIs. This allows customers to use their existing MongoDB drivers and tools with Amazon DocumentDB, and to migrate directly from their self-managed MongoDB databases to Amazon DocumentDB. It also gives them the freedom to migrate data in and out of DocumentDB without fear of lock-in. Q2. Who is using DocumentDB and for what? Barry Morris: Amazon DocumentDB is being used today by a wide variety of customers, from longstanding global enterprises like Samsung and Capital One, to digital natives like Rappi and Zulily, to financial organizations like FINRA. In addition, several products that Amazon customers use, such as the Fulfillment by Amazon (FBA) experience on Amazon.com, are powered by Amazon DocumentDB. We have customers in virtually every industry, from financial services to retail, from gaming to manufacturing, from media and entertainment to publishing, and more. Many of our customers are software engineering teams who don’t want to deal with the “undifferentiated heavy lifting” of database administration, such as hardware provisioning, patching, setup, and configuration. These organizations would rather allocate their valuable engineering talent to building core application functionality, rather than deploying and managing MongoDB clusters. One of our customers, Plume, saved themselves the cost of “three to five approximately $150,000 Silicon Valley salaries” which both offset the managed service cost and allowed their team to focus on their core mission to deliver a superior wireless internet experience. Further, DocumentDB allows Plume to scale much more than their previous solution, with one of their clouds handling as many as 50,000 API calls per minute. You can read the full case study here. The customer use cases are wide and many, given that document databases offer both flexible schemas and extensive query capabilities. Some of the more traditional use cases for document databases include catalogs, user profiles, and content management systems; and with the scale that AWS and Amazon DocumentDB provide, we are seeing customers deploy document databases for a much wider range of internet-scale use cases, including critical customer-facing e-commerce applications and production telemetry. Q3. What has been the customer response? Barry Morris: As with all AWS services, we work very closely with DocumentDB customers to ensure we are building a service that works backward from their needs. To date, the feedback we get is that customers are thrilled by DocumentDB’s ease of scaling, its fully managed capabilities, its natural integration with other AWS offerings, its durability and general enterprise-readiness, and its straightforward API compatibility with MongoDB. Of course, we are always working to add capabilities and features that are highly requested. For example, we just improved our MongoDB compatibility by adding support for frequently requested APIs such as renameCollection, $natural, and $indexOfArray. In the coming months, we also plan to release one of our most-requested features, Global Clusters, for customers with cross-region disaster recovery and data locality requirements. We also continue to bolster our MongoDB compatibility by adding support for the APIs that customers use the most. Q4. What are the main design features of Amazon DocumentDB? Barry Morris: Amazon DocumentDB has been built from the ground up with a cloud native architecture designed for scaling JSON workloads with ease. An essential design feature of DocumentDB is that it decouples compute and storage, allowing each to scale independently. Because storage and compute are separate, customers can add replicas without putting additional load on the primary. This allows you to easily scale out read capacity to millions of requests per second by adding up to 15 low latency read replicas across three AWS Availability Zones (AZs) in minutes. DocumentDB’s distributed, fault-tolerant, self-healing storage system auto-scales storage up to 64 TB per database cluster without the need for sharding, and without any impact or downtime to a customer’s application. As I mentioned before, DocumentDB is built to be enterprise-ready. It provides strict network isolation with Amazon Virtual Private Cloud (VPC). All data is encrypted at rest with AWS Key Management Service (KMS) and encryption in transit is provided with Transport Layer Security (TLS). DocumentDB has compliance readiness with a wide range of industry standards, and automatically and continuously monitors and backs up to Amazon S3, which is highly durable. Q5. When would you suggest to use DocumentDB vs another purpose-built database? Barry Morris: At its core, DocumentDB is designed to store, index, and query rich and complex JSON documents with high availability and scalability. You can retrieve documents based on nested field values, join data across collections, and perform aggregation queries. So if you need schema flexibility and the ability to index and query rich structured and semi-structured documents, DocumentDB is a great choice. This is particularly true if you have JSON document workloads that are mission critical for your organization. A DocumentDB cluster provides 99.99% availability, can handle tens of thousands of writes per second and millions of reads per second, and supports up to 64 TiB of data. Finally, since DocumentDB supports MongoDB workloads and is compatible with the MongoDB API, it is a logical choice for MongoDB users who are looking to easily migrate to a fully managed database solution. Every use case is unique, and it is often a good idea to engage an AWS solution architect (SA) if you have questions about selecting the right database for your next application. Q6. What are the key advantages of DocumentDB vs managing your own cluster? Barry Morris: For many customers, fully managed is all about scale. We scale your database at the click of a button, saving you nights and weekends of scaling clusters manually. Customers don’t have to worry about provisioning hardware, running the service, configuring for high availability, or dealing with patching and durability. These concerns are shifted to AWS, so our customers can focus on their applications and innovate on behalf of their customers. Something as simple as backup and restore can be a drag on production. With DocumentDB, backup is on by default. Cost is also a big concern when managing your own clusters. This can include the cost of labor resources, hardware investments, vendor software solutions, support costs, and more. Cost becomes very transparent with DocumentDB, as it offers pay-as-you-go pricing with per second instance billing. You don’t have to worry about planning for future growth, because DocumentDB scales with your business. Q7. Tell me about “MongoDB compatibility” – what does that really mean in practice? Barry Morris: That’s a great question and one we get a lot from customers. We built DocumentDB to implement the Apache 2.0 open source MongoDB APIs, specifically by emulating the responses that a MongoDB client expects from a MongoDB server. We don’t support 100 percent of the APIs today, but we do support the vast majority that customers actually use. We continue to work back from customers and support additional APIs that customers ask for. Because we offer MongoDB API compatibility, it’s straightforward to migrate from the MongoDB databases you’re managing on premises or in EC2 today to DocumentDB. Updating the application is as easy as changing the database endpoint to the new Amazon DocumentDB cluster. Q8. Let’s hear about some exciting customer momentum. Can you please share some customer stories? Barry Morris: We have a lot of them! Customers including BBC, Capital One, Dow Jones, FINRA, Samsung, and The Washington Post have shared their success stories with us. Recently, we’ve done some deeper-dive case studies with customers in a range of industries. For example, Zulily presented their solution at AWS re:Invent 2020. The popular online retailer is using Amazon DocumentDB along with Amazon Kinesis Data Analytics to power its “suggested searches” feature. In this solution, Kinesis Data Analytics filters relevant events from clickstream analytics when a Zulily customer requests a search, a Lambda function performs a lookup for brands and categories relevant to those events, and the resulting enriched events — which populate the suggested search — are stored in DocumentDB. The feature has been a hit, with more than 75% of Zulily customers using suggested searches when they search the online store. A customer story that is particularly compelling given recent events is Rappi. Rappi is a successful Colombian delivery app startup that operates in nine Latin American countries. The company had been rearchitecting their monolithic application into a more flexible, microservices-driven architecture to help it scale as it grew. As part of this modernization effort, the startup selected DocumentDB as a fully managed, purpose-built JSON database service to replace its self-managed MongoDB clusters, which were becoming unwieldy to manage at scale. When Covid-19 hit, the company faced an unprecedented surge in orders and deliveries. DocumentDB enabled them to handle the surge because, as a highly scalable service, it operated as normal despite the change in volume. Overall, Rappi decreased management and operational overhead by more than 50% using Amazon DocumentDB. A final one I will mention is Asahi Shimbun, which is one of Japan’s oldest and largest-circulated newspapers. The company overhauled its digital app last year using AWS and selected Amazon DocumentDB as their content master database to store their articles. Since modernizing, Asahi Shimbun has seen a 30% reduction in monthly operation costs for extracting past articles and a 20% improvement in frequency of use for the app. This is one of many examples that showcase how essential AWS is for industries like publishing, retail, and banking that are evolving with new business models in the cloud. You can peruse these and many other customer case studies in full on our website. Q9. Anything else you wish to add? Barry Morris: Over the last decade, JSON/document-based workloads have become one of the primary alternatives to relational approaches, for a wide range of applications with requirements for flexible data management. We expect this trend to keep growing, particularly with cloud-native applications, and we’re excited to offer DocumentDB as a tool in the toolkit of modern builders leveraging JSON. It’s been great to see DocumentDB support the needs not only of customers who are migrating their existing MongoDB workloads to the cloud, but also the builders who are creating modern applications and choosing DocumentDB as the right “purpose-built database” for their needs. For anyone interested in learning more and getting hands-on with DocumentDB, we have a number of things coming up that may be of interest. We will be hosting two DocumentDB Focus Days, which are virtual workshops on best practices, in May and June. You can learn more and sign up on the registration page.  Finally, we have an ongoing Twitch series where our solution architects (SAs) dive deeper on DocumentDB functionality, which you can learn more about on the website. Our DocumentDB product detail page is the best place to start for a general overview of the service and steps to get started, and you can refer to the documentation for an in-depth developer guide. …………………………. Barry Morris, GM ElastiCache, Timestream and DocumentDB. As General Manager of ElastiCache, Timestream and DocumentDB, Barry manages a number of businesses in the AWS database portfolio.  He is focused on delivering value to AWS customers through trusted data management services, with a relentless commitment to database innovation. Prior to joining AWS in 2020, his career includes over 20 years as the CEO of international technology companies, both private and public, including Undo.io, NuoDB, StreamBase, Headway, and IONA Technologies. Barry has also had leadership roles in PROTEK, Metrica, Lotus Development and DEC.  Born in South Africa, Barry lived in England and Ireland before moving to Boston. He holds a Bachelor’s Degree (BA) in engineering from Oxford University and an Honorary Doctorate in Business Administration (DBA) from the IMCA. Resources – Get Started with Amazon DocumentDB Related Posts – From SQL to NoSQL. Interview with Carlos Fernández. by Roberto V. Zicari.ODBMS Industry Watch, April 30, 2021 Follow us on Twitter: @odbmsorg http://www.odbms.org/blog/2021/05/on-aws-documentdb-interview-with-barry-morris/