PowerShellGet 3.0 Preview 14

This post was originally published on this site

We are excited to announce that an update to our preview of PowerShellGet 3.0 is now available on the PowerShell Gallery!

This release includes support for PSResourceRepository credential persistence, as well as support for RequiredResourceFiles for Install.

How to Install PowerShellGet 3.0 Preview 14

Prerequisites

Please ensure that you have the latest (non-prerelease) version of PowerShellGet and PackageManagement installed. To check the version you currently have installed run the command Get-InstalledModule PowerShellGet, PackageManagement

The latest version of PowerShellGet is 2.2.5, and the latest version of PackageManagement is 1.4.7. To install the latest versions of these modules run the following: Install-Module PowerShellGet -Force -AllowClobber

Installing the Preview

To install this preview release side-by-side with your existing PowerShellGet version, open any PowerShell console and run: Install-Module PowerShellGet -Force -AllowPrerelease

What to expect in this update

The key features and bug fixes are listed below, for the full list of changes please refer to the Changelog.

Features of this release

  • -Scope parameter for Get-PSResource and Uninstall-PSResource
  •  -CredentialInfo parameter for Register-PSResourceRepository
  • Clt+C support for Find-PSResource
  • -RequiredResource parameter for Install-PSResource
  • Publish-PSResource Script publishing support
  • -Prerelease support for Uninstall-PSResource
  • Install-PSResource -RequiredResourceFile parameter for psd1 and json
  • -RequiredResource parameter Install-PSResource

Bug Fixes

  • RequiredModules support for publishing
  • Register-PSResourceRepository -Repositories parameter renamed to -Repository
  • Rename PSResourceInfo’s PrereleaseLabel property to match Prerelease column displayed
  • Parameter consistency: change url to uri

Using Credential Persistence

This community contributed feature allows you to provide information about where a credential is stored when registering the PSResourceRepository using a -CredentialInfo parameter. This parameter takes a PSCredentialInfo object which takes a vault name and secret name. The secret will then be pulled to authenticate to the Repository on Find and Install calls. This feature takes advantage of SecretManagement, for more information on SecretManagement refer the documentation.

Requirements

  • Microsoft.PowerShell.SecretManagement
  • Any vault extension registered (for this example I will use Microsoft.PowerShell.SecretStore)
  • A repository to connect to (for this example I will use Artifactory)

Getting started

For this example I am going to be using SecretStore to store my credentials for an Artifactory repository. This can be repeated with any SecretManagement extension vault, and with any repository. First, I need to make sure I have a SecretManagement vault set up, with my credential stored. Currently this feature only supports the PSCredential secret type, however, we have an issue to track support for other types.

PS C:Users > Get-SecretInfo
Name          Type         VaultName
----          ----         ---------
jFrogCred     PSCredential SecretStore

Then I can create a PSCredentialInfo object to pass into my PSResourceRepository registration, to create this I pass in the name of the vault and the name of the secret.

$credentialInfo = New-Object Microsoft.PowerShell.PowerShellGet.UtilClasses.PSCredentialInfo ("SecretStore", "jfrogCred")

Now I am ready to register the PSResourceRepository, I will pass in a friendly name, a URI for the repository, and the CredentialInfo. I also use the -Trusted switch because I will be controlling what gets published to the repository.

Register-PSResourceRepository -Name artifactory `
-URI " https://<name>.jfrog.io/artifactory/api/nuget/v3/<Repository-Name>
-Trusted `
-CredentialInfo $credentialInfo 

Now I can run Get-PSResourceRepository to see my registered repositories

PS C:Users > Get-PSResourceRepository

Name        Uri                                                                                     Trusted Priority
----        ---                                                                                     ------- --------
artifactory https://<name>.jfrog.io/artifactory/api/nuget/v3/<Repository-Name>                      True    50      
PSGallery   https://www.powershellgallery.com/api/v2                                                False   50  

If the repository is empty you are going to want to begin by publishing to it. I have saved my API key for publishing to the repository in my SecretStore.

Publish-PSResource -Path .Get-Hello -Repository artifactory -ApiKey (Get-Secret jfrogPublish)

Now I can find and install PSResources from my repository without needing to provide a credential at each call.

PS C:Users> Find-PSResource -Name Get-Hello -Repository artifactory

Name      Version Prerelease Repository  Description
----      ------- ---------- ----------  -----------
Get-Hello 0.0.2.0            artifactory test module

PS C:Users> Install-PSResource Get-Hello

Using Required Resources

Install-PSResource can accept a path to a psd1 or json file (using -RequiredResourceFile), or a hashtable or json (using -RequiredResource).

Getting Started

The -RequiredResource parameter can take either a hashtable or a json format string. The following example shows how to format these inputs.

Install-PSResource -RequiredResource @{
  'Configuration' = @{
    version = '[1.3.1,2.0]'
    repository = 'PSGallery'                        
   }
  'Pester'        = @{
    version = '[4.4.2,4.7.0]'
    repository = 'PSGallery'
    allowPrerelease = $true
  }
}

In this case the modules named “Configuration”, and “Pester” will be installed. The json format will be the same as if this hashtable is passed to ConvertTo-Json:

"{
  'Pester': {
    'allowPrerelease': true,
    'version': '[4.4.2,4.7.0]',
    'repository': 'PSGallery'
  },
  'Configuration': {
    'version': '[1.3.1,2.0]',
    'repository': 'PSGallery'
  }
}"

 Declared dependencies are searched and installed using the same trust algorithm as for Install-PSResource.

The -RequiredResourceFile parameter can accept either a psd1 or a json file. The psd1 should use the same format as the hashtable above, the json file should use the same format as the json sting above.

Features to Expect in Coming Preview Releases

This module is not yet feature complete. Below is a list of features which you can expect to see in the next preview release.

  • New-ScriptFileInfo cmdlet
  • Test-ScriptFileInfo cmdlet
  • Update-ScriptFileInfo cmdlet
  • Update-ModuleManifest cmdlet
  • -AuthenticodeCheck parameter switch for Save, Install, Update

Using the CompatPowerShellGet module

CompatPowerShellGet is a compatibility module that allows use of PowerShellGet 2.x (and below) cmdlet syntax with PowerShellGet 3.0 (and above) functionality by making a best effort mapping between the cmdlet interfaces of both versions of the module. New PowerShell scripts that only leverage PowerShellGet v3 cmdlets do not need to use this compatibility module. For example, if a user has the CompatPowerShellGet module installed and runs the command:

Install-Module PowerShellGet -MinimumVersion 1 -MaximumVersion 2 -AllowPrerelease

the CompatPowerShellGet module will get autoloaded into the PowerShell Session and will map the command to PowerShellGet 3.0 syntax:

Install-PSResource PowerShellGet -Version "[1,2]" -Prerelease" 

The command will then be executed by the PowerShellGet 3.0 implementation. The user will also get a warning to update their script to the new cmdlet interface:

WARNING: The cmdlet 'Install-Module' is deprecated, please use 'Install-PSResource.

This module is designed so that users will not need to immediately update their scripts in order to update to the latest version of PowerShell or to begin taking advantage of the performance improvements already available in PowerShellGet 3.0. We still do recommend that authors begin making the minimal changes required to update their scripts to the new cmdlet interface.

This compatibility module is designed so that it takes precedence over legacy versions of PowerShellGet. If you have this compatibility module installed and would not like it to be used, you can remove it from the PowerShell session using the Remove-Module command.

Please note that this flow is only possible if the user has both the CompatPowerShellGet module installed and the PowerShellGet 3.0 preview module installed. Once PowerShellGet 3.0 is generally available it will be a dependency of CompatPowerShellGet.

Please also note that this compatibility module will not be called if you use fully qualified cmdlets. For example, if you use PowerShellGetInstall-Module this will call a legacy version of PowerShellGet. If this is a common scenario for you, and will be a barrier to migrating to PowerShellGet 3.0 we would appreciate that feedback in our GitHub repository.

How to Track the Development of this Module

GitHub is the best place to track the bugs/feature requests related to this module. We have used a combination of projects and labels on our GitHub repo to track issues for this upcoming release. We are using the label Resolved-3.0 to label issues that we plan to release at some point before we release the module as GA (generally available).

To track issues/features for the next release, please refer to this GitHub project.

How to Give feedback and Get Support

We cannot overstate how critical user feedback is at this stage in the development of the module. Feedback from preview releases help inform design decisions without incurring a breaking change once generally available and used in production.

In order to help us to make key decisions around the behavior of the module please give us feedback by opening issues in our GitHub repository.

Sydney Smith

PowerShell Team

The post PowerShellGet 3.0 Preview 14 appeared first on PowerShell Team.

New Microsoft Office Attack Vector via "ms-msdt" Protocol Scheme, (Mon, May 30th)

This post was originally published on this site

It was a long weekend for many European countries and it’s an off-day in the US but we were aware of a new attack vector for Microsoft Office documents. It started with a tweet from @nao_sec[1] who reported an interesting Word document. Office documents have been a common way to drop malware into victims’ computers for a while. We have to fight against VBA macros, XLS 4 macros, embedded payload, etc. But the one described here is interesting.

Skyline Advisor Pro Proactive Findings – May Edition

This post was originally published on this site

Tweet VMware Skyline Advisor Pro releases new Proactive Findings every month. Findings are prioritized by trending issues in VMware Support, issues raised through post escalation review, security vulnerabilities, and issues raised from VMware engineering, and customers. For the month of May, we released 32 new Findings. Of these, there are 31 Findings based on trending … Continued

The post Skyline Advisor Pro Proactive Findings – May Edition appeared first on VMware Support Insider.

New – Amazon EC2 M6id and C6id Instances with Up to 7.6 TB Local NVMe Storage

This post was originally published on this site

Last year, we launched the Amazon EC2 M6i instances and C6i instances, our sixth-generation offerings that include 3rd generation Intel Xeon Scalable processors.

Today we are expanding Amazon EC2 M6id and C6id instances, backed by NVMe-based SSD block-level instance storage physically connected to the host server. These instances are powered by the Intel Xeon Scalable processors (Ice Lake) with an all-core turbo frequency of 3.5 GHz, equipped with up to 7.6 TB of local NVMe-based SSD block-level storage, and deliver up to 15 percent better price performance compared to previous generation instances.

M6id instances are ideal for workloads that require a balance of compute and memory resources along with high-speed, low-latency local block storage, including data logging and media processing. C6id is ideal for compute-intensive workloads, including those that need access to high-speed, low-latency local storage like video encoding, image manipulation, and other forms of media processing. Both M6id and C6id will also benefit applications that need temporary storage of data, such as batch and log processing and applications that need caches and scratch files.

Compared to previous generation instances, new instance types provide:

  • Up to 58 percent higher storage per vCPU and 34 percent lower cost per TB compared to M5d instances, and up to 138 percent higher storage per vCPU and 56 percent lower cost per TB compared with C5d instances.
  • Larger instance sizes (32xlarge) with up to 128 vCPUs and 512 GiB (M6id) or 256 GiB (C6id) of memory that make it easier and more cost-efficient to consolidate workloads and scale up applications.
  • Up to 15 percent improvement in compute price performance and 20 percent higher memory bandwidth.
  • 2 times increased bandwidth up to 40 Gbps for Amazon EBS and 50 Gbps for networking.

Here are the specs of M6id instances in detail:

Instance Name vCPUs RAM (GiB) Local NVMe SSD Storage (GB) EBS Throughput (Gbps) Network Bandwidth (Gbps)
m6id.large 2 8 1 x 118 Up to 10 Up to 12.5
m6id.xlarge 4 16 1 x 237 Up to 10 Up to 12.5
m6id.2xlarge 8 32 1 x 474 Up to 10 Up to 12.5
m6id.4xlarge 16 64 1 x 950 Up to 10 Up to 12.5
m6id.8xlarge 32 128 1 x 1900 10 12.5
m6id.12xlarge 48 192 2 x 1425 15 18.75
m6id.16xlarge 64 156 2 x 1900 20 25
m6id.24xlarge 96 384 4 x 1425 30 37.5
m6id.32xlarge 128 512 4 x 1900 40 50
m6id.metal 128 512 4 x 1900 40 50

Here are also the specs of C6id instances in detail:

Instance Name vCPUs RAM (GiB) Local NVMe SSD Storage (GB) EBS Throughput (Gbps) Network Bandwidth (Gbps)
c6id.large 2 4 1 x 118 Up to 10 Up to 12.5
c6id.xlarge 4 8 1 x 237 Up to 10 Up to 12.5
c6id.2xlarge 8 16 1 x 474 Up to 10 Up to 12.5
c6id.4xlarge 16 32 1 x 950 Up to 10 Up to 12.5
c6id.8xlarge 32 64 1 x 1900 10 12.5
c6id.12xlarge 48 96 2 x 1425 15 18.75
c6id.16xlarge 64 128 2 x 1900 20 25
c6id.24xlarge 96 192 4 x 1425 30 37.5
c6id.32xlarge 128 256 4 x 1900 40 50
c6id.metal 128 256 4 x 1900 40 50

You can use any Amazon Machine Images (AMIs) that include drivers for the Elastic Network Adapter (ENA) and NVMe. For optimal networking performance on these new instances, ENA driver update may be required. For more information on optimal ENA driver for M6id and C6id instances, see this article on migrating instances.

Here are a couple of things to remind you about the local NVMe storage on these instances:

  • You don’t have to specify a block device mapping in your AMI or during the instance launch; the local storage will show up as one or more devices (/dev/nvme*1 on Linux) after the guest operating system has booted.
  • Each local NVMe device is hardware encrypted using the XTS-AES-256 block cipher and a unique key. Each key is destroyed when the instance is stopped or terminated.
  • Local NVMe devices have the same lifetime as the instance they are attached to and do not stick around after the instance has been stopped or terminated.

Now Available
You can launch M6id and C6id instances today in the AWS US East (Ohio), US East (N. Virginia), US West (Oregon), and Europe (Ireland) Regions as On-Demand, Spot, and Reserved Instances or as part of a Savings Plan. As usual with EC2, you pay for what you use. For more information, see the EC2 pricing page.

To learn more, visit our Amazon EC2 M6i instances or C6i instances page, and please send feedback to AWS re:Post for EC2 or through your usual AWS Support contacts.

– Channy

ctx Python Library Updated with "Extra" Features, (Tue, May 24th)

This post was originally published on this site

Python is a prevalent programming language and has a vast collection of packages on Python Package Index (pypi.org) that allow developers to build their code conveniently. Many of these packages can be installed and updated by the well-known “pip install” command. However, many developers may take the updating and installation process for granted and may neglect to check what might have changed in the packages. I was recently alerted to such a particular post on Reddit [1], [2], and I decided to dive deeper to investigate the issue.

New – Amazon EC2 C7g Instances, Powered by AWS Graviton3 Processors

This post was originally published on this site

I am excited to announce that Amazon Elastic Compute Cloud (Amazon EC2) C7g instances powered by the latest AWS Graviton3 processors that have been available in preview since re:Invent last year are now available for all.

Let’s decompose the name C7g: the “C” instance family is designed for compute-intensive workloads. This is the 7th generation of this instance family. And the “g” means it is based on AWS Graviton, the silicon designed by AWS. These instances are the first instances to be powered by the latest generation of AWS Graviton, the Graviton3 processors.

As you bring more diverse workloads to the cloud, and as your compute, storage, and networking demands increase at a rapid pace, you are asking us to push the price performance boundary even further so that you can accelerate your migration to the cloud and optimize your costs. Additionally, you are looking for more energy-efficient compute options to help you reduce your carbon footprint and achieve your sustainability goals. We do this by working back from your requests, and innovating at a rapid pace across all levels of the AWS infrastructure. Our Graviton chips offer better performance at lower cost along with enhanced capabilities. For example, AWS Graviton3 processors offer you enhanced security with always-on memory encryption, dedicated caches for every vCPU, and support for pointer authentication.

Let’s illustrate this with numbers. When we launched Graviton2-based instances, they provided up to 40 percent better price/performance for a wide variety of workloads over comparable fifth-generation x86-based instances. We now have 12 instance families (M6g, M6gd, C6g, C6gd, C6gn, R6g, R6gd, T4g, X2gd, Im4gn, Is4gen, and G5g) that are powered by AWS Graviton2 processors that provide significant price performance benefits for a wide range of workloads. In 2021, we saw tens of thousands of AWS customers take advantage of this innovation by using Graviton2-based EC2 instances.

Our next generation, Graviton3 processors, deliver up to 25 percent higher performance, up to 2x higher floating-point performance, and 50 percent faster memory access based on leading-edge DDR5 memory technology compared with Graviton2 processors.

Graviton3 also uses up to 60 percent less energy for the same performance as comparable EC2 instances, which helps you reduce your carbon footprint.

Snap Inc, known for its popular social media services such as Snapchat and Bitmoji, adopted AWS Graviton2-based instances to optimize their price performance on Amazon EC2. Aaron Sheldon, software engineer at Snap, told us: “We trialed the new AWS Graviton3-based Amazon EC2 C7g instances and found that they provide significant performance improvements on real workloads compared to previous generation C6g instances. We are excited to migrate our Graviton2-based workloads to Graviton3, including messaging, storage, and friend graph workloads.”

The C7g instances are available in eight sizes with 1, 2, 4, 8, 16, 32, 48, and 64 vCPUs. C7g instances support configurations up to 128 GiB of memory, 30 Gbps of network performance, and 20 Gbps of Amazon Elastic Block Store (EBS) performance. These instances are powered by the AWS Nitro System, a combination of dedicated hardware and a lightweight hypervisor.

The following table summarizes the key characteristics of each instance type in this family.

Instance Name vCPUs
Memory
Network Bandwidth
EBS Bandwidth
c7g.medium 1 2 GiB up to 12.5 Gbps up to 10 Gbps
c7g.large 2 4 GiB up to 12.5 Gbps up to 10 Gbps
c7g.xlarge 4 8 GiB up to 12.5 Gbps up to 10 Gbps
c7g.2xlarge 8 16 GiB up to 15 Gbps up to 10 Gbps
c7g.4xlarge 16 32 GiB up to 15 Gbps up to 10 Gbps
c7g.8xlarge 32 64 GiB 15 Gbps 10 Gbps
c7g.12xlarge 48 96 GiB 22.5 Gbps 15 Gbps
c7g.16xlarge 64 128 GiB 30 Gbps 20 Gbps

C7g instances are initially available in US East (N. Virginia) and US West (Oregon) AWS Regions; other Regions will be added shortly after launch.

As usual, you can purchase C7g capacity on demand, as Reserved Instances, or as Spot instances, and use your Saving Plans. The pricing details are available on the EC2 pricing page.

I have the chance to talk with AWS customers on a daily basis, and many of my discussions are around price performance and the sustainability of their workloads. With more than 500 instance types to choose from, one question I often receive is: what are the workloads that would benefit from C7g?

You will find that C7g instances provide the best price performance within their instance families for a broad spectrum of compute-intensive workloads, including application servers, micro services, high-performance computing, electronic design automation, gaming, media encoding, or CPU-based ML inference. These instances are ideal for all Linux-based workloads, including containerized and micro service-based applications built using Amazon Elastic Kubernetes Service (EKS), Amazon Elastic Container Service (Amazon ECS), Amazon Elastic Container Registry, Kubernetes, and Docker, and written in popular programming languages such as C/C++, Rust, Go, Java, Python, .NET Core, Node.js, Ruby, and PHP.

The next question I receive is: given that Graviton instances are based on Arm architecture, how difficult is it to migrate from x86?

Graviton3 instances are supported by a broad choice of operating systems, independent software vendors, container services, agents, and developer tools, enabling you to migrate your workloads with minimal effort.

Applications and scripts written in high-level programming languages such as Python, Node.js, Ruby, Java, or PHP will typically just require a redeployment. Applications written in lower-level programming languages such as C/C++, Rust, or Go will require a re-compilation.

But you don’t always need to migrate your applications. Several managed services are based on Graviton already, such as Amazon ElastiCache, Amazon EKS, Amazon ECS, Amazon Relational Database Service (RDS), Amazon EMR, Amazon Aurora, and Amazon OpenSearch Service, and your application can benefit from Graviton with minimal efforts. A French customer told me recently they migrated a significant portion of their Amazon EMR clusters to Graviton by doing just one line change in their Terraform scripts; all the rest worked as-is.

For those of you building with serverless, we have also released Graviton support for AWS Fargate and AWS Lambda, extending the price, efficiency, and performance benefits of Graviton to serverless workloads. Lambda functions using Graviton2 can see up to 34 percent better price/performance.

Reducing the carbon footprint of your organization is also of paramount importance. Reducing the carbon footprint of cloud-based workloads is a shared responsibility between you and us. We do our part by innovating at all levels: from the materials used to build our facilities, the usage of water for cooling, and the production of renewable energy, down to inventing new silicons that are more energy efficient. To help you meet your own sustainability goals, we added a sustainability pillar to the AWS Well-Architected framework, and we released the Customer Carbon Footprint tool. Graviton3 fits into that context. It uses up to 60 percent less energy for the same performance as comparable EC2 instances.

We do our part in this shared responsibility model, and now, it is your turn. You can use our innovations and tools to help you optimize your workloads and only use the resources you need. Take the occasion to write clever code that uses fewer CPU cycles, less storage, or less network bandwidth. And be sure to select energy-efficient options, such as Graviton3-based instance types or managed services, when deploying your code.

To help you to get started migrating your applications to Graviton instance types today, we curated this list of technical resources. Have a look at it. To learn more about Graviton-based instances, visit the Graviton page or the C7g page and check out this video:

If you’d like to get started with Graviton-based instances for free, we also just reintroduced the free trial on T4g.small instances for up to 750 hours/month until the end of this year (December 31, 2022).

And now, go build 😉

— seb

AWS Week In Review – May 23, 2022

This post was originally published on this site

This post is part of our Week in Review series. Check back each week for a quick roundup of interesting news and announcements from AWS!

This is the right place to quickly learn about recent AWS news from last week, in just about five minutes or less. This week, I have collected a couple of news items that might be of interest to you, the IT professionals, developers, system administrators, or any type of builders that have their hands on the AWS console, the CLI, or that are writing code.

Last Week’s Launches
The launches that caught my attention last week are the following:

EC2 now supports NitroTPM and SecureBoot – A Trusted Platform Module is often a discrete chip in a computer where you can store secrets and release them to the operating system only when the system is in a known good state. You typically use TPM modules to store operating-system-level volume encryption keys, such as the ones used by BitLocker on Windows or LUKS. NitroTPM is a virtual TPM module available on selected instance families that allows you to deploy your workloads depending on TPM functionalities on EC2 instances.

Amazon EC2 Auto Scaling now backfills predictive scaling forecasts so you can quickly validate forecast accuracy. Auto Scaling Predictive Scaling is a capability of Auto Scaling that allows you to scale your fleet in and out based on observed usage patterns. It uses AI/ML to predict when your fleet needs more or less capacity. It allows you to scale a fleet in advance of the scaling event and have the fleet prepared at peak times. The new backfills shows you how predictive scaling would have scaled your fleet during the last 14 days. This allows you to quickly decide if the predictive scaling policy is accurate for your applications by comparing the demand and capacity forecasts against actual demand immediately after you create a predictive scaling policy.

AWS Backup adds support for two new managed file systems, Amazon FSx for OpenZFS and Amazon Fsx for NetApp ONTAP. These additions helps you meet your centralized data protection and regulatory compliance needs. You can now use AWS Backup’s policy-based capabilities to centrally protect Amazon FSx for NetApp ONTAP or Amazon Fsx for OpenZFS, along with the other AWS services for storage, database, and compute that AWS Backup supports.

AWS App Mesh now supports IPv6 AWS App Mesh is a service mesh that provides application-level networking to make it easy for your services to communicate with each other across multiple types of compute infrastructure. The new support for IPv6 allows you to support workloads running in IPv6 networks and to invoke App Mesh APIs over IPv6. This helps you meet IPv6 compliance requirements, and removes the need for complex networking configuration to handle address translation between IPv4 and IPv6.

Amazon Chime SDK now supports video background replacement and blur on iOS and Android. When you want to integrate audio and video call capabilities in your mobile applications, the Chime SDK is the easiest way to get started. It provides an easy-to-use API that uses the scalable and robust Amazon Chime backend to power your communications. For example, Slack is using Chime as backend for the communications in their apps. The Chime SDK client libraries for iOS and Android now include video background replacement and blur, which developers can use to reduce visual distractions and help increase visual privacy for mobile users on iOS and Android.

For a full list of AWS announcements, be sure to keep an eye on the What’s New at AWS page.

Other AWS News
Some other updates and news that you may have missed:

Amazon Redshift: Ten years of continuous reinvention. This is an Amazon Redshift research paper that will be presented at a leading international forum for database researchers. The authors reflect on how far the first petabyte-scale cloud data warehouse has advanced since it was announced ten years ago.

Improve Your Security at the Edge with AWS IoT Services is a new blog post on the IoT channel. We understand the risks associated with operating at the edge and that you need additional capabilities to ensure that your data is protected. AWS IoT services can help you with end-to-end data protection, device security, and device identification to create the foundation of an expanded information security model and confidently operate at the edge.

AWS Open Source News and Updates – Ricardo Sueiras, my colleague from the AWS Developer Relation team, runs this newsletter. It brings you all the latest open-source projects, posts, and more. Read edition #113 here.

Upcoming AWS Events
CDK Day, on May 26 is a one-day fully virtual event dedicated to the AWS Cloud Development Kit. With four versions of the CDK released (AWS, Terraform, CDK8s, and Projen), we tought the CDK deserves its own full-fledged conference. We will take one day and showcase the brightest and best of CDK from across the whole product family. Let’s talk serverless, Kubernetes and multi-cloud all on the same day! CDK Day will take place on May 26, 2022 and will be fully virtual, live-streamed to our YouTube channel. Book your ticket now, it’s free.

The AWS Summit season is mostly over in Europe, but there are upcoming Summits in North America and the Asia Pacific Regions. Here are some virtual and in-person Summits that might be close to you:

More to come in July, August, and September.

You can register for re:MARS to get fresh ideas on topics such as machine learning, automation, robotics, and space. The conference will be in person in Las Vegas, June 21–24.

That’s all for this week. Check back next Monday for another Week in Review!

— seb

Attacker Scanning for jQuery-File-Upload, (Mon, May 23rd)

This post was originally published on this site

Recently, I noticed some requests hitting our honeypots that appear to attempt to exploit jQuery-File-Upload. jQuery-File-Upload is a popular tool for implementing file uploads. It has been around for a while and has had a few vulnerabilities in the past, but nothing recent as far as I can tell [1]. Allowing users to upload files securely is tricky. And jQuery-File-Upload is tempting faith by allowing uploads into the document root. The walk-through by Kristian Bremberg explaining past jQuery-File-Upload vulnerabilities is an excellent summary of all the things that can go wrong [2].