Publish often, publish quickly. You may have heard of this software development lempihokeman, even if you are a programmer. In many cases, the reality is The harsh and less flexible. Can publish only rarely and slowly.
However, the problem is a new solution, which is surrounded by frantic hype. Micro Services realized the ideal of repeated and rapid publication. In addition, they provide many other benefits to software development as the company’s business. Developers are excited.
“Micro-serve solution consists of independent components or services. The opposite is monolithic, application solution, which has been one of the clumps, “Solita’s senior software engineer Arto Santala says.
“Large information systems swell like bread dough over the years. As the size increases, updating and maintenance of complicated and developers must cognitive overload, ”
Developers want to knock down a set of monoliths inside out – as a weapon of micro-services. Their key strengths are in addition to the rapid publication of failover and technological freedom.
Micro Services usually associated with Web services that are used by a browser in its user interface. Their implementation is utilized almost exclusively cloud services.
Micro services are pioneers in cloud computing giant Amazon,
“When the team is small enough understanding of the individual services and its role is all clear and it is easy to develop,” says Rautonen.
He defines micro-services information system architectures with a single information system will be built publish the following service components. They are talking to each other a light interface, usually http
“The most important advantages of Micro services is that the complexity of the system becomes more easily manageable and structured,”
Fault tolerance is an extreme example of micro-services pioneer Netflix. Video service is a huge number of users, and services that require plenty of performance. If the service would be one-day disturbance, it would be a serious risk to the business. Users will not long tolerate the service, if desired video does not work at all.
Netflix failover guarantee amounting to hundreds of micro-rise facilities, and automated rapid response to unexpected changes. Faults hidden from the user.
Other well-known micro-services users are also music service Spotify, for example, and the world’s most popular part of the cloud-based e-commerce platform Shopify.
If the software is not interesting, micro services you should be knowledgeable about the money. The monolith is a fast-moving market hopelessly slow. The competition stacks up to now require micro-services, which guarantee the ability to change and allow rattling in economic benefits.
“You can lose money if you are not able to respond to changes.”
Micro Services will also help to protect against a single supplier being trapped. The reason for this is the principle of substitution: Services will be held in such small that they can be replaced easily.
Loose vs. tight bond
When the service is split into independent pieces, each piece can develop independently, and not a single new version of the publication mess up anything else. The bond between the fire is the most lax. This allows for rapid publication of the model.
Monolithic solution, the bonds are tight, everything is interconnected. If a problem or a bottleneck occurs, at least one of a change in the code lead to unpredictable risks. The change is always the version of the update, which must be tested carefully. In addition to the change in the object must be encoded into new much more.
Micro Services resemble in many ways the concept of SOA, Service Oriented Architecture, or service-oriented architecture, which was supposed to speed up the development and integration of systems.
“Micro Services Architecture is like the coming of a new service architecture, but there are a few big difference,”
Soa-world architecture was the goal area, but now the architecture is not the end point, but it is a constant adjustments.
“Micro Services Architecture SOA is like a re-awakened, but picking up only the best bits”
“The biggest difference is that SOA was seen as bus based solution. There was talk that there are fools services, the wise bus. Micro Services will turn the other way, the intelligence services is in itself ”
Micro Services breakthrough right now is not a coincidence.
“Devops-cultural and automation are essential enabling factors,”
Devops means that developers and production work together from the beginning
One crucial change is the great popularity soared container technology, which is like the micro-services. Containers means that one and the same virtual machine can run in parallel on a number of different services that are autonomous and independent of each other. Containerization is not a mandatory condition for the micro services.
“For example, the Amazon they are driven developers to write applications into smaller independent units of code,”
Many developers are wary of the monolith, and go strictly the principle that from the beginning made micro-services.
“Migrations can not be done if there is not designed from the beginning that the software runs on a micro-service”
How micro is micro?
Lot’s of debate also raises the concept of micro-service prefix. Many experts consider the whole concept a bad name.
Recently, there has been talk that the micro-service must be “right-sized”
Right vary in size from one service to another according to its own logic.
Micro adds to the complexity
Micro Services drift into the complexity of the swamp, where chopped too much – and the complexity of the just seek to get rid of.
The essence is to keep the complexity of managing a highly efficient automation and monitoring for both virtual machines and containers within the configuration. Without monitoring, for example, is difficult to figure out what is due, if the interface slows down.
“It is amateurish to make micro services without wondering services monitoring,”
Red Hat is again ready to OpenShift cloud platform that is specifically designed for micro and services driving continuous publication. It includes a centralized view, a comprehensive automation and monitoring tools. Similar substrates are, for example, open source and IBM CloudFoundry made it onto Bluemix and Pivotal Web Services.
Freedom and responsibility
The new architecture provides the freedom to develop each of the micro-service tools, which are very relevant to the needs of the most effective. Team’s own preferences determine the technology of choice.
“The only agreement are interfaces outside.”
The commonly agreed interfaces are vital adhesive micro-services.
Old-service to micro-cleavage services is difficult, but not impossible.
For example, in the banking and insurance sector is still used by many decades old systems made in the COBOL programming language. New services again made the acquisition-date technology.
“Micro Services say that it is ok. Let all the flowers bloom, when you only have interfaces. It is certainly painful to do interfacing legacy systems, but the moment cobolit are not going to leave. Flexibility they may apply for an additional layer, ”
strict principle of micro-services is the fact that each micro service is part of their independent character of its own internal data model. Micro service need not comply with the company-wide data model.
Relation of micro-data services to data differs from the traditional data management. Individual micro service may need to store the rest of the data in its own database format, which is reasonable for its own use. Data may temporarily be out of date and inconsistent – misunderstandings arising from the difference between the potential source of conflict between the company’s information management and software developers.
The use of microservices and containers like Docker have led to a revolution in DevOps. Providing the agility that business have long awaited, these new technologies also introduce inherent security implications that cannot be ignored at a time when the enterprise attack surface continues to grow wider. Let’s consider these risks and how organizations can minimize their exposure to them.
According to a recent report by 451 Research, nearly 45% of enterprises have either already implemented or plan to roll out microservices architectures or container-based applications over the next 12 months. This confirms the hype surrounding these emerging technologies, which are meant to simplify the life of application developers and DevOps teams. Microservices can break down larger applications into smaller, distinct services; whereby containers in this context are viewed as a natural compute platform for microservices architectures.
Microservices and containers enable faster application delivery and improved IT efficiency. However, the adoption of these technologies has outpaced security. A recent research study by Gartner (DevSecOps: How to Seamlessly Integrate Security into DevOps) shows that fewer than 20% of enterprise security teams have engaged with their DevOps groups to actively and systematically incorporate information security into their DevOps initiatives.
While serverless computing isn’t new, it has reached an interesting place in its development. As developers begin to see the value of serverless architecture, a whole new startup ecosystem could begin to develop around it.
Serverless isn’t exactly serverless at all, but it does enable a developer to set event triggers and leave the infrastructure requirements completely to the cloud provider. The vendor delivers exactly the right amount of compute, storage and memory and the developer doesn’t even have to think about it (or code for it).
In the beginning we had physical servers, but there was lots of wasted capacity. That led to the development of virtual machines
Then came containers, which really began to take off with the development of Docker and Kubernetes
More recently, we’ve seen the rise of serverless or event-driven computing. In this case, the whole idea of infrastructure itself is being abstracted away.
While it’s not truly serverless, since you need underlying compute, storage and memory to run a program, it is removing the need for developers to worry about servers.
All of the major vendors have launched serverless products with AWS Lambda, Google Cloud Functions and Microsoft Azure Functions all offering a similar approach.
PureSec exits Beta to secure serverless code
Ron Miller
@ron_miller / Yesterday
man hands programmer coding on computer keyboard technology background
PureSec, a startup out of Israel emerged from Beta today to provide a way to make serverless computing more secure.
Serverless computing reduces programming to writing functions, so that when a certain event happens, it triggers an automated action. The cloud vendor takes care of the underlying infrastructure and developers just write the code. It may sound like Shangri La for tech, but in reality there are still security concerns.
You might think that a process that lasts only milliseconds wouldn’t be subject to conventional kinds of attacks, but the fact is serverless functions are designed to take human checks and balances out of the equation
AdChoices
PureSec exits Beta to secure serverless code
Ron Miller
@ron_miller / Yesterday
man hands programmer coding on computer keyboard technology background
PureSec, a startup out of Israel emerged from Beta today to provide a way to make serverless computing more secure.
Serverless computing reduces programming to writing functions, so that when a certain event happens, it triggers an automated action. The cloud vendor takes care of the underlying infrastructure and developers just write the code. It may sound like Shangri La for tech, but in reality there are still security concerns.
You might think that a process that lasts only milliseconds wouldn’t be subject to conventional kinds of attacks, but the fact is serverless functions are designed to take human checks and balances out of the equation, says company co-founder Ory Segal, and if you don’t set up the functions correctly you could be vulnerable.
As with any type of cloud security, there is a shared security model with serverless computing. On the vendor side, they ensure their data centers and systems are secure, but at the application level, it’s up to the developer. Certainly we have seen many instances where applications have been left exposed and data has leaked.
Segal says the function may be only a few lines of code triggering an action, but the action usually involves interacting with one or more external services. When that happens, there is an opportunity to manipulate the function and make it do something it wasn’t designed to do such as inject malicious code.
The product looks at your serverless code and lets you know which vulnerabilities you may have left exposed. It can even fix those problems for you if you wish.
A movement first started by AWS’ Function as a Service has pushed the serverless model to replace the classic model. This, in turn, has helped companies catchup up to the increasing demand of the IoT market.
If you’re considering moving to a serverless architecture you might think the first step is easy, but the real challenges come with ensuring enterprise-grade discipline once you move into production.
This open source tool recreates serverless production conditions to pinpoint causes of memory leaks and other errors that aren’t visible in the QA environment.
Cloud native models using containerized software in a continuous delivery approach could benefit from serverless computing where the cloud vendor generates the exact amount of resources required to run a workload on the fly. While the major cloud vendors have recognized this and are already creating products to abstract away the infrastructure, it may not work for every situation in spite of the benefits.
Serverless is an architectural pattern that leverages maximally managed services as components of a system and stitches them together with small bits of business logic code that is also run in a managed service. The most typical type of service to implement the business logic is generally called Function as a Service (FaaS), but there are a multitude of ways to implement this custom compute resource.
Using Lambda functions to do serverless magic on Amazon AWS? Check out this neat tool from Skyscanner which can help audit your serverless setup including the policies, SQS and S3 usage and more. Also has an optional integration to Sonarqube for static code analysis – Darknet.org.uk
Amazon Web Services has launched Fargate 1.4, an update to its serverless container platform that adds support for shared Elastic File System storage and removes use of Docker Engine.
Fargate is Amazon’s service to simplify deploying container-based applications by removing the need to provision server instances or Kubernetes pods. AWS calls it a serverless approach since it automates the provision of either AWS Elastic Container Service (ECS) or Elastic Kubernetes Service (EKS) resources. Note that EKS support in Fargate is limited to just four regions (Virginia, Ohio, Ireland, and Tokyo), and that Fargate does not support Windows containers, only Linux.
Under the covers, AWS made changes to the implementation, eliminating Docker Engine.
AWS figured it could make its own implementation of the features added by Docker Engine, thereby cutting out a dependency. “Fargate provides most of that functionality natively already and it doesn’t need all the bells and whistles that Docker provides. Because of this, the runtime below can remain simple and using Docker Engine was deemed to be unnecessary,”
The new platform enables AWS to use Firecracker, a micro VM designed for running containers, for Fargate containers and EKS pods.
Firecracker is an open source virtualization technology that is purpose-built for creating and managing secure, multi-tenant container and function-based services.
Until now, you needed to choose between containers with fast startup times and high density, or VMs with strong hardware-virtualization-based security and workload isolation. With Firecracker, you no longer have to choose. Firecracker enables you to deploy workloads in lightweight virtual machines, called microVMs, which provide enhanced security and workload isolation over traditional VMs, while enabling the speed and resource efficiency of containers. Firecracker was developed at Amazon Web Services to improve the customer experience of services like AWS Lambda and AWS Fargate.
Container development promises portability and scalability in the cloud, but there are questions to ponder before you start your first container development project. This checklist details 10 things for you to consider so that your Kubernetes deployment will support your enterprise now and in the future.
Among them:
You do not have to reinvent what already exists.
Kubernetes is only part of the platform.
Your decisions affect both development and operations.
Cloudflare launches Workers Unbound, the next evolution of its serverless platform https://tcrn.ch/30VbREW
Cloudflare today announced the private beta launch of Workers Unbound, the latest step in its efforts to offer a serverless platform that can compete with the likes of AWS Lambda.
The company first launched its Workers edge computing platform in late 2017. Today it has “hundreds of thousands of developers” who use it, and in the last quarter alone, more than 20,000 developers built applications based on the service, according to the company. Cloudflare also uses Workers to power many of its own services, but the first iteration of the platform had quite a few limitations. The idea behind Workers Unbound is to do away with most of those and turn it into a platform that can compete with the likes of AWS, Microsoft and Google.
Finding, training, and retaining top technical talent is consistently one of IT’s biggest challenges. A new generation of serverless application platforms is a powerful lure for both developers and administrators.
A new report from Datadog reveals that serverless computing could be entering the mainstream. This has already been the case in my world for the past few years. Results show that more than half of all organizations are using serverless on one of the three major public cloud providers: Amazon, Microsoft, and Google.
This is a bit different than just two years ago when most serverless development occurred on a single cloud provider in 2020. Now, all three of the big companies are enjoying explosive growth of serverless.
This means that serverless is now considered more of an “open” concept, much like containers. Support across cloud providers removes some of the fears that serverless development leads to lock-in. Lock-in can still occur, however, if you’re consistently leveraging features and services that you can’t find on other cloud platforms.
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40 Comments
Tomi Engdahl says:
Micro Services will replace it-lumps
Publish often, publish quickly. You may have heard of this software development lempihokeman, even if you are a programmer. In many cases, the reality is The harsh and less flexible. Can publish only rarely and slowly.
However, the problem is a new solution, which is surrounded by frantic hype. Micro Services realized the ideal of repeated and rapid publication. In addition, they provide many other benefits to software development as the company’s business. Developers are excited.
“Micro-serve solution consists of independent components or services. The opposite is monolithic, application solution, which has been one of the clumps, “Solita’s senior software engineer Arto Santala says.
“Large information systems swell like bread dough over the years. As the size increases, updating and maintenance of complicated and developers must cognitive overload, ”
Developers want to knock down a set of monoliths inside out – as a weapon of micro-services. Their key strengths are in addition to the rapid publication of failover and technological freedom.
Micro Services usually associated with Web services that are used by a browser in its user interface. Their implementation is utilized almost exclusively cloud services.
Micro services are pioneers in cloud computing giant Amazon,
“When the team is small enough understanding of the individual services and its role is all clear and it is easy to develop,” says Rautonen.
He defines micro-services information system architectures with a single information system will be built publish the following service components. They are talking to each other a light interface, usually http
“The most important advantages of Micro services is that the complexity of the system becomes more easily manageable and structured,”
Fault tolerance is an extreme example of micro-services pioneer Netflix. Video service is a huge number of users, and services that require plenty of performance. If the service would be one-day disturbance, it would be a serious risk to the business. Users will not long tolerate the service, if desired video does not work at all.
Netflix failover guarantee amounting to hundreds of micro-rise facilities, and automated rapid response to unexpected changes. Faults hidden from the user.
Other well-known micro-services users are also music service Spotify, for example, and the world’s most popular part of the cloud-based e-commerce platform Shopify.
If the software is not interesting, micro services you should be knowledgeable about the money. The monolith is a fast-moving market hopelessly slow. The competition stacks up to now require micro-services, which guarantee the ability to change and allow rattling in economic benefits.
“You can lose money if you are not able to respond to changes.”
Micro Services will also help to protect against a single supplier being trapped. The reason for this is the principle of substitution: Services will be held in such small that they can be replaced easily.
Loose vs. tight bond
When the service is split into independent pieces, each piece can develop independently, and not a single new version of the publication mess up anything else. The bond between the fire is the most lax. This allows for rapid publication of the model.
Monolithic solution, the bonds are tight, everything is interconnected. If a problem or a bottleneck occurs, at least one of a change in the code lead to unpredictable risks. The change is always the version of the update, which must be tested carefully. In addition to the change in the object must be encoded into new much more.
Micro Services resemble in many ways the concept of SOA, Service Oriented Architecture, or service-oriented architecture, which was supposed to speed up the development and integration of systems.
“Micro Services Architecture is like the coming of a new service architecture, but there are a few big difference,”
Soa-world architecture was the goal area, but now the architecture is not the end point, but it is a constant adjustments.
“Micro Services Architecture SOA is like a re-awakened, but picking up only the best bits”
“The biggest difference is that SOA was seen as bus based solution. There was talk that there are fools services, the wise bus. Micro Services will turn the other way, the intelligence services is in itself ”
Micro Services breakthrough right now is not a coincidence.
“Devops-cultural and automation are essential enabling factors,”
Devops means that developers and production work together from the beginning
One crucial change is the great popularity soared container technology, which is like the micro-services. Containers means that one and the same virtual machine can run in parallel on a number of different services that are autonomous and independent of each other. Containerization is not a mandatory condition for the micro services.
“For example, the Amazon they are driven developers to write applications into smaller independent units of code,”
Many developers are wary of the monolith, and go strictly the principle that from the beginning made micro-services.
“Migrations can not be done if there is not designed from the beginning that the software runs on a micro-service”
How micro is micro?
Lot’s of debate also raises the concept of micro-service prefix. Many experts consider the whole concept a bad name.
Recently, there has been talk that the micro-service must be “right-sized”
Right vary in size from one service to another according to its own logic.
Micro adds to the complexity
Micro Services drift into the complexity of the swamp, where chopped too much – and the complexity of the just seek to get rid of.
The essence is to keep the complexity of managing a highly efficient automation and monitoring for both virtual machines and containers within the configuration. Without monitoring, for example, is difficult to figure out what is due, if the interface slows down.
“It is amateurish to make micro services without wondering services monitoring,”
Red Hat is again ready to OpenShift cloud platform that is specifically designed for micro and services driving continuous publication. It includes a centralized view, a comprehensive automation and monitoring tools. Similar substrates are, for example, open source and IBM CloudFoundry made it onto Bluemix and Pivotal Web Services.
Freedom and responsibility
The new architecture provides the freedom to develop each of the micro-service tools, which are very relevant to the needs of the most effective. Team’s own preferences determine the technology of choice.
“The only agreement are interfaces outside.”
The commonly agreed interfaces are vital adhesive micro-services.
Old-service to micro-cleavage services is difficult, but not impossible.
For example, in the banking and insurance sector is still used by many decades old systems made in the COBOL programming language. New services again made the acquisition-date technology.
“Micro Services say that it is ok. Let all the flowers bloom, when you only have interfaces. It is certainly painful to do interfacing legacy systems, but the moment cobolit are not going to leave. Flexibility they may apply for an additional layer, ”
strict principle of micro-services is the fact that each micro service is part of their independent character of its own internal data model. Micro service need not comply with the company-wide data model.
Relation of micro-data services to data differs from the traditional data management. Individual micro service may need to store the rest of the data in its own database format, which is reasonable for its own use. Data may temporarily be out of date and inconsistent – misunderstandings arising from the difference between the potential source of conflict between the company’s information management and software developers.
Source: http://www.tivi.fi/Kaikki_uutiset/mikropalvelut-korvaavat-it-mohkaleet-6588283
Tomi Engdahl says:
Neglected Step Child: Security in DevOps
http://www.securityweek.com/neglected-step-child-security-devops
The use of microservices and containers like Docker have led to a revolution in DevOps. Providing the agility that business have long awaited, these new technologies also introduce inherent security implications that cannot be ignored at a time when the enterprise attack surface continues to grow wider. Let’s consider these risks and how organizations can minimize their exposure to them.
According to a recent report by 451 Research, nearly 45% of enterprises have either already implemented or plan to roll out microservices architectures or container-based applications over the next 12 months. This confirms the hype surrounding these emerging technologies, which are meant to simplify the life of application developers and DevOps teams. Microservices can break down larger applications into smaller, distinct services; whereby containers in this context are viewed as a natural compute platform for microservices architectures.
Microservices and containers enable faster application delivery and improved IT efficiency. However, the adoption of these technologies has outpaced security. A recent research study by Gartner (DevSecOps: How to Seamlessly Integrate Security into DevOps) shows that fewer than 20% of enterprise security teams have engaged with their DevOps groups to actively and systematically incorporate information security into their DevOps initiatives.
Tomi Engdahl says:
Serverless computing could unleash a new startup ecosystem
https://techcrunch.com/2018/07/08/serverless-computing-could-unleash-a-new-startup-ecosystem/?sr_share=facebook&utm_source=tcfbpage
While serverless computing isn’t new, it has reached an interesting place in its development. As developers begin to see the value of serverless architecture, a whole new startup ecosystem could begin to develop around it.
Serverless isn’t exactly serverless at all, but it does enable a developer to set event triggers and leave the infrastructure requirements completely to the cloud provider. The vendor delivers exactly the right amount of compute, storage and memory and the developer doesn’t even have to think about it (or code for it).
In the beginning we had physical servers, but there was lots of wasted capacity. That led to the development of virtual machines
Then came containers, which really began to take off with the development of Docker and Kubernetes
More recently, we’ve seen the rise of serverless or event-driven computing. In this case, the whole idea of infrastructure itself is being abstracted away.
While it’s not truly serverless, since you need underlying compute, storage and memory to run a program, it is removing the need for developers to worry about servers.
All of the major vendors have launched serverless products with AWS Lambda, Google Cloud Functions and Microsoft Azure Functions all offering a similar approach.
Tomi Engdahl says:
2018 Serverless Community Survey: huge growth in serverless usage
https://serverless.com/blog/2018-serverless-community-survey-huge-growth-usage/
Tomi Engdahl says:
PureSec exits Beta to secure serverless code
https://techcrunch.com/2018/07/19/puresec-exits-stealth-to-secure-serverless-code/?sr_share=facebook&utm_source=tcfbpage
AdChoices
PureSec exits Beta to secure serverless code
Ron Miller
@ron_miller / Yesterday
man hands programmer coding on computer keyboard technology background
PureSec, a startup out of Israel emerged from Beta today to provide a way to make serverless computing more secure.
Serverless computing reduces programming to writing functions, so that when a certain event happens, it triggers an automated action. The cloud vendor takes care of the underlying infrastructure and developers just write the code. It may sound like Shangri La for tech, but in reality there are still security concerns.
You might think that a process that lasts only milliseconds wouldn’t be subject to conventional kinds of attacks, but the fact is serverless functions are designed to take human checks and balances out of the equation
AdChoices
PureSec exits Beta to secure serverless code
Ron Miller
@ron_miller / Yesterday
man hands programmer coding on computer keyboard technology background
PureSec, a startup out of Israel emerged from Beta today to provide a way to make serverless computing more secure.
Serverless computing reduces programming to writing functions, so that when a certain event happens, it triggers an automated action. The cloud vendor takes care of the underlying infrastructure and developers just write the code. It may sound like Shangri La for tech, but in reality there are still security concerns.
You might think that a process that lasts only milliseconds wouldn’t be subject to conventional kinds of attacks, but the fact is serverless functions are designed to take human checks and balances out of the equation, says company co-founder Ory Segal, and if you don’t set up the functions correctly you could be vulnerable.
As with any type of cloud security, there is a shared security model with serverless computing. On the vendor side, they ensure their data centers and systems are secure, but at the application level, it’s up to the developer. Certainly we have seen many instances where applications have been left exposed and data has leaked.
Segal says the function may be only a few lines of code triggering an action, but the action usually involves interacting with one or more external services. When that happens, there is an opportunity to manipulate the function and make it do something it wasn’t designed to do such as inject malicious code.
The product looks at your serverless code and lets you know which vulnerabilities you may have left exposed. It can even fix those problems for you if you wish.
Tomi Engdahl says:
CLOUD FREE White Paper: Serverless Cloud Computing for the Internet of Things
https://iot.eetimes.com/free-white-paper-serverless-cloud-computing-for-the-internet-of-things/
A movement first started by AWS’ Function as a Service has pushed the serverless model to replace the classic model. This, in turn, has helped companies catchup up to the increasing demand of the IoT market.
Tomi Engdahl says:
Serverless? Great. Now what about testing, security, observability? Bag a ticket to find out…
Choosing your platform is just the first step
https://www.theregister.co.uk/2018/10/10/serverless_conference_event/
If you’re considering moving to a serverless architecture you might think the first step is easy, but the real challenges come with ensuring enterprise-grade discipline once you move into production.
Tomi Engdahl says:
https://www.tivi.fi/CIO/palvelimettomuus-voi-olla-muotia-mutta-kuuminkaan-it-trendi-ei-sovi-kaikkialle-6744368
Serverless cloud computing: Don’t go overboard
https://www.infoworld.com/article/3311825/serverless-computing/serverless-cloud-computing-dont-go-overboard.html
The new cry from the big public cloud providers is ‘serverless computing for everything.’ Don’t be fooled
Tomi Engdahl says:
7 open source platforms to get started with serverless computing
https://opensource.com/article/18/11/open-source-serverless-platforms?sc_cid=7016000000127ECAAY
Serverless computing is transforming traditional software development. These open source platforms will help you get started.
Tomi Engdahl says:
3 implications of serverless
Plus, when to go serverless and when to not?
https://opensource.com/article/18/12/serverless-podcast-command-line-heros?sc_cid=7016000000127ECAAY
Tomi Engdahl says:
How to build deep learning inference through Knative serverless framework
https://opensource.com/article/18/12/deep-learning-inference?sc_cid=7016000000127ECAAY
Using deep learning to classify images when they arrive in object storage
Tomi Engdahl says:
Make Serverless seamless with Knative
https://developers.redhat.com/coderland/serverless?sc_cid=7016000000127ECAAY
Tutorial: Build and deploy a serverless service to Knative
Tomi Engdahl says:
ShadowReader: Serverless load tests for replaying production traffic
https://opensource.com/article/19/3/shadowreader-serverless?sc_cid=7016000000127ECAAY
This open source tool recreates serverless production conditions to pinpoint causes of memory leaks and other errors that aren’t visible in the QA environment.
Tomi Engdahl says:
How to enable serverless computing in Kubernetes
https://opensource.com/article/19/4/enabling-serverless-kubernetes?sc_cid=7016000000127ECAAY
Knative is a faster, easier way to develop serverless applications on Kubernetes platforms.
Tomi Engdahl says:
Getting into the Cloud: What are IaaS, PaaS and SaaS?
https://www.fotoware.com/blog/getting-into-the-cloud-what-are-iaas-paas-and-saas
Tomi Engdahl says:
FaaS framework created as part of a virtualization class project
https://github.com/surender7522/IITBFaaS
Tomi Engdahl says:
Serverless and containers: Two great technologies that work better together
https://techcrunch.com/2019/05/23/serverless-and-containers-two-great-technologies-that-work-great-together/
Cloud native models using containerized software in a continuous delivery approach could benefit from serverless computing where the cloud vendor generates the exact amount of resources required to run a workload on the fly. While the major cloud vendors have recognized this and are already creating products to abstract away the infrastructure, it may not work for every situation in spite of the benefits.
Tomi Engdahl says:
Why Serverless Will Eat the World
https://www.nitor.com/fi/uutiset-ja-blogi/why-serverless-will-eat-world
Serverless is an architectural pattern that leverages maximally managed services as components of a system and stitches them together with small bits of business logic code that is also run in a managed service. The most typical type of service to implement the business logic is generally called Function as a Service (FaaS), but there are a multitude of ways to implement this custom compute resource.
Tomi Engdahl says:
https://stacksense.io/krishnan/vendors/deploying-swimos-on-kubernetes/
Tomi Engdahl says:
Using Lambda functions to do serverless magic on Amazon AWS? Check out this neat tool from Skyscanner which can help audit your serverless setup including the policies, SQS and S3 usage and more. Also has an optional integration to Sonarqube for static code analysis – Darknet.org.uk
https://www.darknet.org.uk/2019/10/lambdaguard-aws-lambda-serverless-security-scanner/
Tomi Engdahl says:
https://www.darknet.org.uk/2019/10/lambdaguard-aws-lambda-serverless-security-scanner/
Tomi Engdahl says:
https://www.nitor.com/fi/uutiset-ja-blogi/why-serverless-will-eat-world
Tomi Engdahl says:
SQLite Is Serverless
https://www.sqlite.org/serverless.html?utm_source=www.cyberciti.biz&utm_medium=referral&utm_campaign=nixCraft_Social_Media
Tomi Engdahl says:
https://www.redhat.com/en/topics/cloud-native-apps
Tomi Engdahl says:
Serverless Production Debugging: AWS Lambda Debugging in Production and Elsewhere
https://www.rookout.com/blog/serverless-production-debugging-aws-lambda-debugging-in-production-and-elsewhere
Tomi Engdahl says:
https://www.microsoft.com/security/blog/2020/04/02/attack-matrix-kubernetes/
Tomi Engdahl says:
How To Quickly Run a Basic Security Audit Against Docker & Secure the Docker Daemon
https://pentestmag.com/how-to-quickly-run-a-basic-security-audit-against-docker-secure-the-docker-daemon/
Tomi Engdahl says:
AWS revamps Fargate serverless containers, but wait – where’s Docker Engine? Ah, ‘deemed unnecessary’
Bezos cloud crew chops ‘bells and whistles’ in favour of native support, adds shared storage
https://www.theregister.co.uk/2020/04/09/aws_revamps_fargate_serverless_containers/
Amazon Web Services has launched Fargate 1.4, an update to its serverless container platform that adds support for shared Elastic File System storage and removes use of Docker Engine.
Fargate is Amazon’s service to simplify deploying container-based applications by removing the need to provision server instances or Kubernetes pods. AWS calls it a serverless approach since it automates the provision of either AWS Elastic Container Service (ECS) or Elastic Kubernetes Service (EKS) resources. Note that EKS support in Fargate is limited to just four regions (Virginia, Ohio, Ireland, and Tokyo), and that Fargate does not support Windows containers, only Linux.
Under the covers, AWS made changes to the implementation, eliminating Docker Engine.
AWS figured it could make its own implementation of the features added by Docker Engine, thereby cutting out a dependency. “Fargate provides most of that functionality natively already and it doesn’t need all the bells and whistles that Docker provides. Because of this, the runtime below can remain simple and using Docker Engine was deemed to be unnecessary,”
The new platform enables AWS to use Firecracker, a micro VM designed for running containers, for Fargate containers and EKS pods.
Under the hood: AWS Fargate data plane
https://aws.amazon.com/blogs/containers/under-the-hood-fargate-data-plane/
Tomi Engdahl says:
Secure and fast microVMs for serverless computing
https://firecracker-microvm.github.io/
Firecracker is an open source virtualization technology that is purpose-built for creating and managing secure, multi-tenant container and function-based services.
Until now, you needed to choose between containers with fast startup times and high density, or VMs with strong hardware-virtualization-based security and workload isolation. With Firecracker, you no longer have to choose. Firecracker enables you to deploy workloads in lightweight virtual machines, called microVMs, which provide enhanced security and workload isolation over traditional VMs, while enabling the speed and resource efficiency of containers. Firecracker was developed at Amazon Web Services to improve the customer experience of services like AWS Lambda and AWS Fargate.
Tomi Engdahl says:
10 considerations for Kubernetes deployments
Get started with container development
https://www.redhat.com/en/engage/considerations-kubernetes-deployments-s-202001101221
Container development promises portability and scalability in the cloud, but there are questions to ponder before you start your first container development project. This checklist details 10 things for you to consider so that your Kubernetes deployment will support your enterprise now and in the future.
Among them:
You do not have to reinvent what already exists.
Kubernetes is only part of the platform.
Your decisions affect both development and operations.
Tomi Engdahl says:
Display quotes and synthesize speech on an Adafruit Industries PyPortal using CircuitPython and Amazon Web Services Serverless.
Adding Voice to a CircuitPython Project Using Amazon Polly
https://www.hackster.io/virgilvox/adding-voice-to-a-circuitpython-project-using-amazon-polly-609873
Display quotes and synthesize speech on an Adafruit PyPortal using CircuitPython and AWS Serverless.
Tomi Engdahl says:
https://adayinthelifeof.nl/2020/05/20/aws.html
Tomi Engdahl says:
AWS Serverless-First Function
https://www.twitch.tv/videos/627618639
Tomi Engdahl says:
Cloudflare launches Workers Unbound, the next evolution of its serverless platform
https://tcrn.ch/30VbREW
Cloudflare today announced the private beta launch of Workers Unbound, the latest step in its efforts to offer a serverless platform that can compete with the likes of AWS Lambda.
The company first launched its Workers edge computing platform in late 2017. Today it has “hundreds of thousands of developers” who use it, and in the last quarter alone, more than 20,000 developers built applications based on the service, according to the company. Cloudflare also uses Workers to power many of its own services, but the first iteration of the platform had quite a few limitations. The idea behind Workers Unbound is to do away with most of those and turn it into a platform that can compete with the likes of AWS, Microsoft and Google.
Tomi Engdahl says:
Airflow vs. Luigi vs. Argo vs. MLFlow vs. KubeFlow
Choosing a task orchestration tool
https://datarevenue.com/en-blog/airflow-vs-luigi-vs-argo-vs-mlflow-vs-kubeflow?utm_source=facebook&utm_medium=cpc&utm_campaign=%5BNew%5D+Articles+-+Conversion+Goals&utm_content=Airflow+vs.+Luigi
Tomi Engdahl says:
https://pentestmag.com/how-to-quickly-run-a-basic-security-audit-against-docker-secure-the-docker-daemon/
Tomi Engdahl says:
https://www.alibabacloud.com/blog/getting-started-with-serverless-what-is-function-compute-and-how-does-it-work_597245?utm_content=m_1000241238
Tomi Engdahl says:
A Good Developer Is Hard To Find. Serverless Can Help.
https://www.forbes.com/sites/googlecloud/2021/05/11/a-good-developer-is-hard-to-find-serverless-can-help/
Finding, training, and retaining top technical talent is consistently one of IT’s biggest challenges. A new generation of serverless application platforms is a powerful lure for both developers and administrators.
Tomi Engdahl says:
https://nitor.com/en/articles/building-a-fully-serverless-invoicing-data-pipeline-for-transval?utm_source=facebook&utm_content=building-a-fully-serverless-invoicing-data-pipeline-for-transval&utm_campaign=blog&fbclid=IwAR3Dogdl67oWHYyhQan165_FUB1Kr8vqwAMQtpvwZaK_EIwWBfhaqIPYXkY
Tomi Engdahl says:
The World now is Serverless and Container based
https://coderoasis.com/serverless-and-containers/
A new report from Datadog reveals that serverless computing could be entering the mainstream. This has already been the case in my world for the past few years. Results show that more than half of all organizations are using serverless on one of the three major public cloud providers: Amazon, Microsoft, and Google.
This is a bit different than just two years ago when most serverless development occurred on a single cloud provider in 2020. Now, all three of the big companies are enjoying explosive growth of serverless.
This means that serverless is now considered more of an “open” concept, much like containers. Support across cloud providers removes some of the fears that serverless development leads to lock-in. Lock-in can still occur, however, if you’re consistently leveraging features and services that you can’t find on other cloud platforms.