Posted On Dec 5, 2. You can now harden your Io. T applications by configuring a back up action to perform in the event your primary rule actions fail. Amazon Io. T Rules Engine also attaches the error information to the message payload affected. PostgreSQL8. 1JDBCyum yumy install postgresqljdbc usrsharejavapostgresqljdbc. To run require libcurldev or libcurldevelon rpm linux based git clone httpsgithub. CoolerVoid0d1n need libcurl to run sudo aptget install libcurldev. AWS Server Migration Service now supports the ability to migrate HyperV VMs to AWS. With this launch, you can now migrate virtual machines running in onpremises. Traktor Scratch Pro 2 Per Mac there. You can use this feature to ensure that message data is handled in context of the error or routed to a back up resource. Error Actions may be used to handle a range of user and service error conditions such as insufficiently provisioned downstream services, or unavailability of services. Posted On Dec 5, 2. Amazon Elastic Container Service Amazon ECS now supports running Windows Server containers for production workloads. Posted On Dec 5, 2. Amazon Kinesis Data Firehose, the easiest way to load streaming data into data stores and analytics tools, now supports Splunk as a delivery destination. Splunk is an operational intelligence tool for analyzing machine generated data in real time. You can now use Kinesis Data Firehose to stream data to your Splunk cluster in real time at any scale. This integration supports Splunk versions with HTTP Event Collector HEC, including Splunk Enterprise and Splunk Cloud. Posted On Dec 4, 2. Capture21.png' alt='How To Install Jdbc Driver For Postgresql In Centos' title='How To Install Jdbc Driver For Postgresql In Centos' />5 POINTS OF CHRISTIAN THEOLOGY THE PROMISE VERSES TO ALL MANKIND THE UNPARDONABLE SIN EXPLAINED I are with the download seamus heaney poet critic translator that. Sonar. The Data Science Virtual Machine DSVM is a customized VM image on Microsofts Azure cloud built specifically for doing data science. It has many popular data. Parent Directory 389dsbase1. Dec2011 0013 2. 8M ConsoleKit0. Dec2011 1508 402K DeviceKitpower0143. Comparison of different SQL implementations. The goal of this page which is a work in progress is to gather information relevant for people who are porting. If youare looking for a web application for buildingtesting your software developments, then youre on the right place. Introducing the Bamboo CI server. Kilauea Mount Etna Mount Yasur Mount Nyiragongo and Nyamuragira Piton de la Fournaise Erta Ale. Today AWS announced contributions to the milestone 1. Apache MXNet deep learning framework, as well as the introduction of a new model serving capability. Posted On Dec 4, 2. This new Quick Start deploys a standardized environment that supports compliance with the Center for Internet Security CIS Benchmark for AWS Foundations. The Quick Start was built by AWS solutions architects and compliance experts in collaboration with Accenture, an AWS Premier Consulting Partner. Posted On Nov 3. You can now log the execution activity of your AWS Lambda functions with AWS Cloud. Trail Lambda data events. Previously, you could only log Lambda management events, which provide information on when and by whom a function was created, modified, or deleted. Now, you can also record Lambda data events and get additional details on when and by whom an Invoke API call was made and which Lambda function was executed. All Lambda data events are delivered to an Amazon S3 bucket and Amazon Cloud. Watch Events, which allows you to respond to events recorded by Cloud. Coh 2 Custom Maps Install. Trail. For example, you can quickly determine which Lambda functions were executed in the past three days and identify the source of the Invoke API calls. You can take immediate action to restrict Invoke API calls to known users or roles if you detect inappropriate Lambda activity. Posted On Nov 3. You can now allocate 3. MB of memory to your AWS Lambda functions. Previously, the maximum amount of memory available to your functions was 1. MB. Now, its easier to process workloads with higher memory or denser compute requirements, such as big data analysis, large file processing, and statistical computations. Posted On Nov 3. AWS Server Migration Service now supports the ability to migrate Hyper V VMs to AWS. With this launch, you can now migrate virtual machines running in on premises virtualization stacks from both Microsoft Hyper V and VMware ESXESXi environments. AWS Server Migration Service is an agentless service that makes it easier to migrate thousands of on premises workloads to AWS. It allows you to automate, schedule, and track incremental replications of live server volumes, making it easier for you to coordinate large scale server migrations. Automating incremental replication, Server Migration Service helps you speed up your migration process and reduce the operational cost of migration. Its easy to get started with AWS Server Migration Service either using the AWS Console, or CLI and is available at no cost to you in the following AWS regions. To learn more about Hyper V support for AWS Server Migration Service, click here. Posted On Nov 3. The AWS Lambda console has been updated with enhancements and new features that improve the experience of creating, configuring, testing, and monitoring your Lambda functions. Posted On Nov 3. You can now set a concurrency limit on individual AWS Lambda functions. The concurrency limit you set will reserve a portion of your account level concurrency limit for a given function. This feature allows you to throttle a given function if it reaches a maximum number of concurrent executions allowed, which you can choose to set. This is useful when you want to limit traffic rates to downstream resources called by Lambda e. ENI and IP addresses for functions accessing a private VPC. Posted On Nov 3. Amazon Web Services now offers an AWS Deep Learning AMI  for Microsoft Windows Server 2. R2 and 2. 01. 6. These new Amazon Machine Images AMIs contain all the necessary pre built packages, libraries, and frameworks you need to start building AI systems using deep learning on Microsoft Windows. The AMIs also include popular deep learning frameworks such as Apache MXNet, Caffe and Tensorflow, as well as packages that enable easy integration with AWS, including launch configuration tools and many popular AWS libraries and tools. The AMIs come prepackaged with Nvidia CUDA 9, cu. DNN 7, and Nvidia 3. Anaconda platform supports Python versions 2. Posted On Nov 3. The AWS Serverless Application Repository is a collection of serverless applications published by developers, companies, and partners in the serverless community. Posted On Nov 3. Alexa for Business is now generally available for all customers. Alexa for Business makes it easy for you to introduce Alexa to your organization, providing the tools you need to set up and manage Alexa enabled devices, enroll users, and assign skills at scale. Posted On Nov 3. AWS Cloud. IDE for writing, running, and debugging your code. Posted On Nov 3. You can now provide access to HTTPS resources within your Amazon Virtual Private Cloud VPC without exposing them directly to the public Internet. You can use API Gateway to create an API endpoint that is integrated with your VPC. You create an endpoint to your VPC by setting up a VPC link between your VPC and a Network Load Balancer NLB, which is provided by Elastic Load Balancing. The NLB send requests to multiple destinations in your VPC such as Amazon EC2 instances, Auto Scaling groups, or Amazon ECS services. NLBs also support private connectivity over AWS Direct Connect, so that applications in your own data centers will be able to connect to your VPC via the Amazon private network. Posted On Nov 2. The Amazon Time Sync Service provides a highly accurate and reliable time reference that is natively accessible from Amazon EC2 instances. Posted On Nov 2. Amazon EC2 T2 instances can now deliver high CPU performance for as long as a workload needs it. T2 instances have previously enabled customers to optimize costs for their workloads with a generous baseline CPU performance and the ability to burst above baseline for short periods. With T2 Unlimited, workloads can now burst beyond the baseline for as long as required. This enables customers to enjoy the low T2 instance hourly price for a wide variety of general purpose applications, and ensure that their instances are never constrained to the baseline. Common general purpose workloads on T2 instances include micro services, low latency interactive applications, small and medium databases, virtual desktops, development, build and stage environments, code repositories, and product prototypes. Posted On Nov 2. Posted On Nov 2.