Alex Casalboni and Austen Collins discuss the evolution of Serverless. Learn about the exciting new trend that's redefining the cloud computing industry in this in-depth webinar designed to teach you the basics of serverless computing and design.
Managing, developing and scaling applications in containers can be a challenging task. A good container management solution helps tackle these challenges, allowing you to focus on developing your application. In this session, our customer Virtual Gaming Worlds will share their experiences and lessons learnt from their journey migrating a key workload application to a containerised solution in Amazon ECS.
Alex Casalboni and Austen Collins discuss the evolution of Serverless. Learn about the exciting new trend that's redefining the cloud computing industry in this in-depth webinar designed to teach you the basics of serverless computing and design.
Managing, developing and scaling applications in containers can be a challenging task. A good container management solution helps tackle these challenges, allowing you to focus on developing your application. In this session, our customer Virtual Gaming Worlds will share their experiences and lessons learnt from their journey migrating a key workload application to a containerised solution in Amazon ECS.
Counter Service Digital Journey at AWS Summit Bangkok 2017 Keynote Amazon Web Services
The AWS Summit brings together the cloud computing community to connect, collaborate and learn about AWS. Opening Keynote Customer Guest with Thanasit Tansakul
Assistant General Manager of Counter Service sharing its Cloud Journey.
Amazon Web Services Online Training is Offering at Glory IT Technologies. Amazon Web Services (AWS) is a leading cloud-based services platform, and developers who want to keep current need to know what benefits AWS has to offer. This course provides you with a solid conceptual foundation on which to architect your next cloud-based application
АРТЕМ КОБРІН «Achieve Networking at Scale with a Self-Service Network Solutio...UA DevOps Conference
Free Online DevOps Conference 2020
АРТЕМ КОБРІН
«Achieve Networking at Scale with a Self-Service Network Solution for AWS»
Сайт: www.devopsconf.org
Ми в
www.facebook.com/godevopsevent
www.t.me/GoDevOpsEvent
www.linkedin.com/showcase/go-devops
Slides from Wojtek Gawroński's talk at 4Developers 2018 in Katowice about how serverless approach can help you maximize delivered business value, how API mashup enables you to create an MVP as soon as possible, without cutting edges and ignoring maintainability aspects.
Présentation de Michael Lopez et Stephane Martarello de CrossKnowledge lors du meetup des développeurs mobile de la Cote d'Azur sur le thème de Dimensionnement d'images avec AWS Lambda: Comment mettre en place une solution serverless simple et peu couteuse basée sur Amazon API Gateway et Lambda pour dimensionner automatiquement les images uploadées sur votre application (exemple : Vignettes de profile)
Rejoignez nous pour notre prochain meetup: https://www.meetup.com/preview/Developpement-Mobile-Android-iOS-Cote-d-Azur
Intro to Batch Processing on AWS - DevDay Los Angeles 2017Amazon Web Services
What to expect:
• Batch processing – overview and challenges
• Why run batch workloads in the cloud
• Overview of AWS batch solutions
• Deep dive look at AWS Batch and Amazon ECS
• Best practices
Counter Service Digital Journey at AWS Summit Bangkok 2017 Keynote Amazon Web Services
The AWS Summit brings together the cloud computing community to connect, collaborate and learn about AWS. Opening Keynote Customer Guest with Thanasit Tansakul
Assistant General Manager of Counter Service sharing its Cloud Journey.
Amazon Web Services Online Training is Offering at Glory IT Technologies. Amazon Web Services (AWS) is a leading cloud-based services platform, and developers who want to keep current need to know what benefits AWS has to offer. This course provides you with a solid conceptual foundation on which to architect your next cloud-based application
АРТЕМ КОБРІН «Achieve Networking at Scale with a Self-Service Network Solutio...UA DevOps Conference
Free Online DevOps Conference 2020
АРТЕМ КОБРІН
«Achieve Networking at Scale with a Self-Service Network Solution for AWS»
Сайт: www.devopsconf.org
Ми в
www.facebook.com/godevopsevent
www.t.me/GoDevOpsEvent
www.linkedin.com/showcase/go-devops
Slides from Wojtek Gawroński's talk at 4Developers 2018 in Katowice about how serverless approach can help you maximize delivered business value, how API mashup enables you to create an MVP as soon as possible, without cutting edges and ignoring maintainability aspects.
Présentation de Michael Lopez et Stephane Martarello de CrossKnowledge lors du meetup des développeurs mobile de la Cote d'Azur sur le thème de Dimensionnement d'images avec AWS Lambda: Comment mettre en place une solution serverless simple et peu couteuse basée sur Amazon API Gateway et Lambda pour dimensionner automatiquement les images uploadées sur votre application (exemple : Vignettes de profile)
Rejoignez nous pour notre prochain meetup: https://www.meetup.com/preview/Developpement-Mobile-Android-iOS-Cote-d-Azur
Intro to Batch Processing on AWS - DevDay Los Angeles 2017Amazon Web Services
What to expect:
• Batch processing – overview and challenges
• Why run batch workloads in the cloud
• Overview of AWS batch solutions
• Deep dive look at AWS Batch and Amazon ECS
• Best practices
by Harrell Stiles, Sr. Consultant, AWS ProServe
Batch computing is a common way to run a series of programs, called batch jobs, on a large pool of shared compute resources, such as servers, virtual machines, and containers. But running batch workloads at scale is a challenging task, configuring and scaling a cluster of virtual machines to process complex batch jobs is difficult and resource intensive. In this session, we’ll discuss options and best practices for running batch jobs on AWS including AWS Batch, a fully managed batch-processing service, and building batch processing architectures with the Amazon EC2 Container Service. We’ll also discuss best practices for ensuring efficient and opportunistic scheduling, fine-grained monitoring, compute resource auto-scaling, and security for batch jobs. Level 200
Batch Processing with Containers on AWS - June 2017 AWS Online Tech TalksAmazon Web Services
Learning Objectives:
- Learn about the options for running batch workloads on AWS
- Learn how to architect a containerized batch processing service on Amazon ECS
- Learn best practices for optimizing and scaling complex batch workload requirements
Batch processing is useful when you need to periodically analyze large amounts of data, but configuring and scaling a cluster of virtual machines to process complex batch jobs can be difficult. Containers provide a great solution for running batch jobs by providing easily managed, scalable, and portable code environments.
In this tech talk, we’ll show you how to use containers on AWS for batch processing jobs that can scale quickly and cost-effectively. We’ll discuss AWS Batch, our fully managed batch-processing service, and show you how to architect your own batch processing service using the Amazon EC2 Container Service. We’ll also discuss best practices for ensuring efficient and opportunistic scheduling, fine-grained monitoring, compute resource auto-scaling, and security for your batch jobs.
This presentation was made by Madhusudan Shekar of AWS as as main session in Container Conference 2018 on 3rd August in Bangalore.
The Evolution to Microservices – A Container Story
"Technology improves at a rapid pace across compute, storage and networking, but we tend to continue to build applications that are yet to take advantage of much of these capabilities. Cloud platforms provide a way to abstract these complexities from the developer, enabling them to adopt these innovations rapidly. In this session, we will look at how application architectures are evolving, and how it is now possible for developers to prioritise on innovation rather than operation and bring value to the user base."
Customer Sharing: miiiCasa - Deep Dive into AWS ECS and Spot Instances at ScaleAmazon Web Services
In this session the speaker will talk about different scenario-based architectures on AWS ECS and API Gateway, and how to leverage both services to build advanced cloud architecture at scale.
Speaker will also have live demo for
How to build ECS cluster with ASG and spot instances
How to scale it dynamically
How to work with team collaboration tools
Basic Learning foundation for AWS, the description provides a comparison between the traditional data center and cloud infrastructure. Different vendor comparison by their services
Introduction to Containers - AWS Startup Day Johannesburg.pdfAmazon Web Services
In this session, we cover all the options for running containers on AWS. This will include an intro of container concepts, and an overview to different services like ECS, EKS, ECR and Fargate. We cover topics like: how to choose the right orchestration platform for your workload, some different tools that are out there to make the process easier, and how to find more information and support as you work.
Getting Started with Docker on AWS: AWS is an elastic, secure, flexible, and developer-centric ecosystem that serves as an ideal platform for Docker deployments. AWS offers the scalable infrastructure, APIs, and SDKs that integrate tightly into a development lifecycle and accentuate the benefits of the lightweight and portable containers that Docker offers to its users. This session will cover the benefits of containers, introduce Amazon EC2 Container Service, and demonstrates how to use Amazon ECS to run containerized applications at scale in production.
Code reviews are vital for ensuring good code quality. They serve as one of our last lines of defense against bugs and subpar code reaching production.
Yet, they often turn into annoying tasks riddled with frustration, hostility, unclear feedback and lack of standards. How can we improve this crucial process?
In this session we will cover:
- The Art of Effective Code Reviews
- Streamlining the Review Process
- Elevating Reviews with Automated Tools
By the end of this presentation, you'll have the knowledge on how to organize and improve your code review proces
Gamify Your Mind; The Secret Sauce to Delivering Success, Continuously Improv...Shahin Sheidaei
Games are powerful teaching tools, fostering hands-on engagement and fun. But they require careful consideration to succeed. Join me to explore factors in running and selecting games, ensuring they serve as effective teaching tools. Learn to maintain focus on learning objectives while playing, and how to measure the ROI of gaming in education. Discover strategies for pitching gaming to leadership. This session offers insights, tips, and examples for coaches, team leads, and enterprise leaders seeking to teach from simple to complex concepts.
Advanced Flow Concepts Every Developer Should KnowPeter Caitens
Tim Combridge from Sensible Giraffe and Salesforce Ben presents some important tips that all developers should know when dealing with Flows in Salesforce.
Multiple Your Crypto Portfolio with the Innovative Features of Advanced Crypt...Hivelance Technology
Cryptocurrency trading bots are computer programs designed to automate buying, selling, and managing cryptocurrency transactions. These bots utilize advanced algorithms and machine learning techniques to analyze market data, identify trading opportunities, and execute trades on behalf of their users. By automating the decision-making process, crypto trading bots can react to market changes faster than human traders
Hivelance, a leading provider of cryptocurrency trading bot development services, stands out as the premier choice for crypto traders and developers. Hivelance boasts a team of seasoned cryptocurrency experts and software engineers who deeply understand the crypto market and the latest trends in automated trading, Hivelance leverages the latest technologies and tools in the industry, including advanced AI and machine learning algorithms, to create highly efficient and adaptable crypto trading bots
Accelerate Enterprise Software Engineering with PlatformlessWSO2
Key takeaways:
Challenges of building platforms and the benefits of platformless.
Key principles of platformless, including API-first, cloud-native middleware, platform engineering, and developer experience.
How Choreo enables the platformless experience.
How key concepts like application architecture, domain-driven design, zero trust, and cell-based architecture are inherently a part of Choreo.
Demo of an end-to-end app built and deployed on Choreo.
Into the Box Keynote Day 2: Unveiling amazing updates and announcements for modern CFML developers! Get ready for exciting releases and updates on Ortus tools and products. Stay tuned for cutting-edge innovations designed to boost your productivity.
First Steps with Globus Compute Multi-User EndpointsGlobus
In this presentation we will share our experiences around getting started with the Globus Compute multi-user endpoint. Working with the Pharmacology group at the University of Auckland, we have previously written an application using Globus Compute that can offload computationally expensive steps in the researcher's workflows, which they wish to manage from their familiar Windows environments, onto the NeSI (New Zealand eScience Infrastructure) cluster. Some of the challenges we have encountered were that each researcher had to set up and manage their own single-user globus compute endpoint and that the workloads had varying resource requirements (CPUs, memory and wall time) between different runs. We hope that the multi-user endpoint will help to address these challenges and share an update on our progress here.
Exploring Innovations in Data Repository Solutions - Insights from the U.S. G...Globus
The U.S. Geological Survey (USGS) has made substantial investments in meeting evolving scientific, technical, and policy driven demands on storing, managing, and delivering data. As these demands continue to grow in complexity and scale, the USGS must continue to explore innovative solutions to improve its management, curation, sharing, delivering, and preservation approaches for large-scale research data. Supporting these needs, the USGS has partnered with the University of Chicago-Globus to research and develop advanced repository components and workflows leveraging its current investment in Globus. The primary outcome of this partnership includes the development of a prototype enterprise repository, driven by USGS Data Release requirements, through exploration and implementation of the entire suite of the Globus platform offerings, including Globus Flow, Globus Auth, Globus Transfer, and Globus Search. This presentation will provide insights into this research partnership, introduce the unique requirements and challenges being addressed and provide relevant project progress.
Listen to the keynote address and hear about the latest developments from Rachana Ananthakrishnan and Ian Foster who review the updates to the Globus Platform and Service, and the relevance of Globus to the scientific community as an automation platform to accelerate scientific discovery.
Modern design is crucial in today's digital environment, and this is especially true for SharePoint intranets. The design of these digital hubs is critical to user engagement and productivity enhancement. They are the cornerstone of internal collaboration and interaction within enterprises.
Innovating Inference - Remote Triggering of Large Language Models on HPC Clus...Globus
Large Language Models (LLMs) are currently the center of attention in the tech world, particularly for their potential to advance research. In this presentation, we'll explore a straightforward and effective method for quickly initiating inference runs on supercomputers using the vLLM tool with Globus Compute, specifically on the Polaris system at ALCF. We'll begin by briefly discussing the popularity and applications of LLMs in various fields. Following this, we will introduce the vLLM tool, and explain how it integrates with Globus Compute to efficiently manage LLM operations on Polaris. Attendees will learn the practical aspects of setting up and remotely triggering LLMs from local machines, focusing on ease of use and efficiency. This talk is ideal for researchers and practitioners looking to leverage the power of LLMs in their work, offering a clear guide to harnessing supercomputing resources for quick and effective LLM inference.
top nidhi software solution freedownloadvrstrong314
This presentation emphasizes the importance of data security and legal compliance for Nidhi companies in India. It highlights how online Nidhi software solutions, like Vector Nidhi Software, offer advanced features tailored to these needs. Key aspects include encryption, access controls, and audit trails to ensure data security. The software complies with regulatory guidelines from the MCA and RBI and adheres to Nidhi Rules, 2014. With customizable, user-friendly interfaces and real-time features, these Nidhi software solutions enhance efficiency, support growth, and provide exceptional member services. The presentation concludes with contact information for further inquiries.
In software engineering, the right architecture is essential for robust, scalable platforms. Wix has undergone a pivotal shift from event sourcing to a CRUD-based model for its microservices. This talk will chart the course of this pivotal journey.
Event sourcing, which records state changes as immutable events, provided robust auditing and "time travel" debugging for Wix Stores' microservices. Despite its benefits, the complexity it introduced in state management slowed development. Wix responded by adopting a simpler, unified CRUD model. This talk will explore the challenges of event sourcing and the advantages of Wix's new "CRUD on steroids" approach, which streamlines API integration and domain event management while preserving data integrity and system resilience.
Participants will gain valuable insights into Wix's strategies for ensuring atomicity in database updates and event production, as well as caching, materialization, and performance optimization techniques within a distributed system.
Join us to discover how Wix has mastered the art of balancing simplicity and extensibility, and learn how the re-adoption of the modest CRUD has turbocharged their development velocity, resilience, and scalability in a high-growth environment.
A Comprehensive Look at Generative AI in Retail App Testing.pdfkalichargn70th171
Traditional software testing methods are being challenged in retail, where customer expectations and technological advancements continually shape the landscape. Enter generative AI—a transformative subset of artificial intelligence technologies poised to revolutionize software testing.
SOCRadar Research Team: Latest Activities of IntelBrokerSOCRadar
The European Union Agency for Law Enforcement Cooperation (Europol) has suffered an alleged data breach after a notorious threat actor claimed to have exfiltrated data from its systems. Infamous data leaker IntelBroker posted on the even more infamous BreachForums hacking forum, saying that Europol suffered a data breach this month.
The alleged breach affected Europol agencies CCSE, EC3, Europol Platform for Experts, Law Enforcement Forum, and SIRIUS. Infiltration of these entities can disrupt ongoing investigations and compromise sensitive intelligence shared among international law enforcement agencies.
However, this is neither the first nor the last activity of IntekBroker. We have compiled for you what happened in the last few days. To track such hacker activities on dark web sources like hacker forums, private Telegram channels, and other hidden platforms where cyber threats often originate, you can check SOCRadar’s Dark Web News.
Stay Informed on Threat Actors’ Activity on the Dark Web with SOCRadar!
Understanding Globus Data Transfers with NetSageGlobus
NetSage is an open privacy-aware network measurement, analysis, and visualization service designed to help end-users visualize and reason about large data transfers. NetSage traditionally has used a combination of passive measurements, including SNMP and flow data, as well as active measurements, mainly perfSONAR, to provide longitudinal network performance data visualization. It has been deployed by dozens of networks world wide, and is supported domestically by the Engagement and Performance Operations Center (EPOC), NSF #2328479. We have recently expanded the NetSage data sources to include logs for Globus data transfers, following the same privacy-preserving approach as for Flow data. Using the logs for the Texas Advanced Computing Center (TACC) as an example, this talk will walk through several different example use cases that NetSage can answer, including: Who is using Globus to share data with my institution, and what kind of performance are they able to achieve? How many transfers has Globus supported for us? Which sites are we sharing the most data with, and how is that changing over time? How is my site using Globus to move data internally, and what kind of performance do we see for those transfers? What percentage of data transfers at my institution used Globus, and how did the overall data transfer performance compare to the Globus users?
In 2015, I used to write extensions for Joomla, WordPress, phpBB3, etc and I ...Juraj Vysvader
In 2015, I used to write extensions for Joomla, WordPress, phpBB3, etc and I didn't get rich from it but it did have 63K downloads (powered possible tens of thousands of websites).
OpenFOAM solver for Helmholtz equation, helmholtzFoam / helmholtzBubbleFoamtakuyayamamoto1800
In this slide, we show the simulation example and the way to compile this solver.
In this solver, the Helmholtz equation can be solved by helmholtzFoam. Also, the Helmholtz equation with uniformly dispersed bubbles can be simulated by helmholtzBubbleFoam.
5. MESSAGING SYSTEMS
Azure
Event Grid
Event Hubs
Service Bus
Storage Queues
GCP
Cloud Pub/Sub
Firebase Messaging
AWS
SQS
Amazon MQ
Amazon SNS
Amazon Pinpoint
Amazon Kinesis Streams
AWS IoT Message broker
Alibaba
AlibabMQ for Apache
RocketMQ
AlibabMQ for Apache Kafka
Message Service
Oracle
Who cares?
IBM
See “Oracle”
6. ADVANTAGES TO CLOUD MESSAGING
Super easy to manage
Generally very reliable
Takes advantage of known cloud constraints
Excellent APIs
7. NSERVICEBUS CUSTOMERS 5 YEARS AGO
On premise
Fixed hardware provisioning
In house transports like MSMQ, SQL or RabbitMQ
8. NSERVICEBUS CUSTOMERS IN 5 YEARS
Cloud hosted
Elastic provisioning
Cloud transports like SQS
9. DEPLOYMENT MODELS
Physical Machines
Fully owned, responsible for hardware and software
Virtual Machines
Hardware managed but OS patching owned
Kubernetes
Responsible for some patching
Serverless
Fully managed
12. DISADVANTAGES TO VM APPROACH
Still responsible for patching and updating
Management is largely done by logging into a machine and twiddling with it
Still difficult to scale in a granular way
15. KUBERNETES VS. SERVERLESS
Kubernetes is the Linga Franca of different clouds
Scaling requires some manual intervention or
defining of rules
Minimum unit of scale is a single container
Serverless provides deeper integration with the
cloud platforms
Scaling is totally transparent
Minimum unit of scale is 0
22. HOW NSERVICEBUS HELPS
Preview packages available for both Azure Functions and AWS Lambdas
Helps with serialization and deserialization
Makes handling multiple message types easy
Handles batching
Facilitates transactional processing with outbox
25. SERVERLESS GOTCHAS
May scale beyond the capabilities of your other services
May be more expensive than deploying to VMs
Some restrictions on what can be run
Time limits on processing
Runtimes are specific to the cloud on which they run
Messaging semantics can be difficult to understand
29. CATCH UP WITH ME
Weekly episodes of ASP.NET Monsters https://www.youtube.com/c/Aspnetmonsters
Occasional blogging https://aspnetmonsters.com/ https://blog.simontimms.com/
Complaining about anything and everything on Twitter @stimms
Editor's Notes
When I first took Udi’s distributed systems course it was a different age. We were building largely for on-premise deployment and messaging options were pretty limited. It was basically MSMQ or bust. Over the years we’ve seen a lot of changes in that space. There are loads of newer messaging systems like rabbitmq. There are also a lot of cloud-based message systems. Every major cloud player has one, probably several messaging systems. While many companies are still hosing their infrastructure in house it is becoming difficult to justify. It can be cheaper to do thing in-house but finding talent which can set up and maintain the sorts of data centers companies need these days is difficult
We are rapidly moving away from people building their own data “centers” in a closet and towards just using the cloud. For small and medium sized companies the could makes a lot of sense. For very large or very technically proficient companies it can still be cheaper to roll your own hardware in a data center. I’m specifically thinking of stack overflow here who have amazing technical skills on staff and do save themselves money by standing up their own servers. If you’re anything less than that, though clouds make sense.
The scale of these data centers is mind blowing. I think this is Ireland, but it is weirdly difficult to get pictures of data centers.
I cannot stress enough how much easier it is to build out a message queue in the cloud as compared with on premise. In the time it takes you to set up the meeting with IT to talk about provisioning servers for messaging you can have an instance of ASB up and running.
Messaging in the cloud is highly reliable. You’ll hardly ever find the service is down or that it is overloaded.
That the service runs in a known configuration means that they can provide guarantees like in order messaging that are difficult to achieve locally
The APIs these services also tend to be pretty good having had years to develop and supporting multiple languages.
This is where I suspect Nservicebus will be going over the next few years. There will certainly still be a mass of customers who remain on premise for various regulatory, cost or comfort reasons but a good number of customers are going to be out here in the cloud
I already see my clients moving a lot of their services to the cloud and I think it will continue, I hope it will
There are some cases where you need to do something highly specialized that requires bare metal server. Examples I can think of include high performance databases and things which have been configured to talk directly to non-virtualized disks.
We can of course host in the cloud using an extension of the current model of just installing the nsb host on a virtual machine. This doesn’t really offer us much in terms of advantages over running on data-center hardware
It is difficult to get to a really large scale if you’re logging into machines and twiddling with it
If you have a single VM image with all your services installed on it then when you go to scale out you get 2 machines with all your services on them. Often you need to just scale a sliver of your application instead of all the endpoints at once
If you have a bunch of VM images with individual endpoints on them then that gives you better scalability but you’re going to end up scaling in a way that is coarse grained. Maybe login service is loaded but is it loaded enough to provision an entire server and distribute to it?
There is also a pretty heavy startup cost to virtual machines, typically you see provision and start up times on the order of 2-3 minutes. That’s laughable when compared to getting IT to provision you a server but
Kubernetes support containers and containers are pretty cool. They reduce the minimum size of the thing you deploy to computer significantly from virtual machines. All you need to deploy now is a prepackaged image which contains your application and any support libraries. This makes it much easier to do deployments and remain confident that what you’re deploying will run the same in the cloud as it does on your local machine. There is, however, a pretty high bar for entry into the k8s space. While there are plenty of tutorials and certifications out there for it the truth is that there are a lot of concepts in the k8s space
Cloud providers all have their own Kubernetes hosting solution with various degrees of maturity. In general though they are pretty similar and support things like serverless Kubernetes allowing you to scale out for spiky load almost instantly .
Endpoints which receive very few messages have a low load so having a service which only spins up when there are messages is a real cost savings. K8s is always going to have a minimum load as are vms
If the load on a service isn’t known ahead of time then serverless can help. It will scale up to take the load and scale down when there is no load. You pay by execution so you basically pay per message
Just like electrical grids most messaging systems have a kind of base load to them. At most times of the day we expect to see n messages flowing through the system. However when people first log in in the morning or when we process a large batch file we might see extra load over the base load. We can handle the base load using virtual machines because they’re cheaper. Using serverless to handle the peak load.
Serverless has almost no cost to entry so if you need to get a company up quickly or you need to prototype a solution quickly then serverless can be a great option
You can go all in on serverless and put all your endpoint there. This is a great option if you don’t know about how much use the system will have or if you just don’t want to have to worry at all about how to scale the system up and down
You can cap the number of instances of a function you want running at a time on AWS. On azure the limits are a little harder to enforce.
Functions/lambdas while cheap may be more expensive that just putting together a full on VM to handle the message processing
For functions, at least, the integration with the .net runtime can cause problems with different versions of libraries and the framework
There are limits to how long you can take to process a message
The pricing of nservicebus use to be per server or per-core or something like that – I honestly don’t remember. But now it is a much friendlier model for both small installations and for serverless. If you only have a handful of messages and endpoints all of a sudden this pricing becomes remarkably good.
