C2 Obfuscation and Exfiltration: HUC Packet Transmitter To aid the work of network defenders and systems administrators, we also provide advice on limiting the effectiveness of these tools and detecting their use on a network. The individual tools we cover in this report are limited examples of the types of tools used by threat actors. You should not consider this an exhaustive list when planning your network defense.
It often dictates whether a mainframe migration is successful or not.
Customers choose microservices aiming for more agility, innovation, quality, scalability, and availability. Despite all these advantages, a microservices approach introduces operational complexity.
AWS has a number of offerings that address important challenges of microservices architectures: Managed Servicesservice orientation, programming languages polyglot, on-demand resources, infrastructure as code, and continuous delivery, among others.
Experience is still growing on microservices topics. However, most of the existing worldwide IT relies on mainframe monoliths.
Many corporations and public agencies are looking for strategies to migrate their mainframe to cloud microservices, minimizing project risk, duration, and cost.
A more efficient and cost optimized architecture is now available with AWS. It can be achieved by transforming legacy Batch processes to real-time microservices, leveraging Amazon Kinesis for data streaming, Amazon API Gateway for service invocation, and AWS Lambda and serverless computing for compute and storage.
Mainframe Legacy Batch Architecture In Figure 1, we use an example mainframe Batch architecture that we will transform into a microservice architecture in later sections. Figure 1 — Mainframe legacy Batch architecture example. The Batch programs have been designed to avoid multiple user locking and waiting for transaction responses.
During the day, loan request transactions append transaction data to a temporary file, with one file per physical office. At night, CICS transactions that share data with Batches are switched off to avoid concurrency, locks, and consistency issues.
There are three Batch programs: Every five minutes, the Upload Batch program sends all temporary files to the Batch region via message queuing. Every night, the Loan Batch program is triggered by the scheduler. It executes the following logic: All files are merged into one The merged file is then sorted to improve performance and prepare the next processing steps Each record in the sorted file are processed for enrichment personal information about credit history and other loans are collected from DB2 and injected into the enriched record Each record is enriched a second time by injecting risk assessment information from a VSAM file, resulting in an enriched file with all the information required to perform risk analysis and grant or reject loan request Each record in previous output file is processed, and eventually COBOL programs create three outputs: Every week, the Archiving Batch is triggered to save some GDG data to tape devices for legal reasonsand to prune GDG removal of files sent to tapes.
When modernizing from mainframe monoliths toward AWS, both the transformation and the definition of the target architecture are automated and standardized for AWS by Blu Age Velocity transformation technology.
This execution environment is available off-the-shelf and relies upon two components: Blu Age Velocity Framework brings all utilities and services to get rid of former system specificities and anti-patterns: Go To removal, data memory model, execution model, data access model, sort and file management utilities, and more.
BluSam Server can be seen as a full stack microservice container. Any number of containers may be deployed, with each being the execution unit for locally deployed services and data access service.
Each former Batch program becomes a Spring Boot autonomous executable. Microservice containers are distributed. Programs are freely deployed. Data is freely deployed. All services are registered into a service directory automatically.
Figure 2 — Blu Age Velocity microservice design. Our recommendation for a successful mainframe to microservices project is to separate the technical stack transformation phase from the business split transformation phase in order to keep the microservices transformation complexity manageable for each phase and minimize project risks.
With such an approach, the first technical stack transformation phase focuses on the application code and data isofunctional migration, keeping the same application model with mostly infrastructure teams from both the mainframe and the AWS sides.
The later business split transformation phase focuses on creating domain model boundaries for each microservice and will not involve a mainframe team.
It does require participants from the Line of Business with an understanding of the business functions and processes. For the technical stack microservice transformation phase, the mainframe Batch architecture is automatically refactored with Blu Age Velocity in the following way: This enables remote call capability for both business logic services and data access services.
BMS maps are transformed into Angular single-page application, while server-side services are transformed into Java Spring Boot applications. Each may be freely deployed to the BluSam server of your choice. Persisted data may be loaded into the in-memory cache for optimization of performance.In this tutorial we are going to map a network drive on our computer to a file storage in the cloud using Azure File Storage.
This can be very helpful if you want to share files among multiple computers and, bearing in mind that the storage is in the cloud, you can scale your drive as much as you need. Often it is asked how to create a batch file to map network drives for users at logon.
Here’s how I did it at one site where I had a small number of users, but each user had a different set of mapped drives they needed to access.
This is a list of file formats used by computers, organized by type. Filename extensions are usually noted in parentheses if they differ from the file format name or abbreviation.
Many operating systems do not limit filenames to one extension shorter than 4 characters, as was common with some operating systems that supported the File Allocation Table (FAT) file system.
CALL FOR PAPERS. The DEFCON 16 Call for Papers is now Closed! The DEFCON 16 speaking schedule is complete, with occasional minor adjustments.!
So keep your eye on the Speaker Page and the Schedule Page for all the latest info as it happens. You can also subscribe to the DEFCON RSS Feed for up to the minute news.
Amazon Elastic File System (Amazon EFS) provides simple, scalable, elastic file storage for use with AWS Cloud services and on-premises resources. It is easy to use and offers a simple interface that allows you to create and configure file systems quickly and easily.
BAT file to map to network drive without running as admin. Ask Question. Batch - Move File to Network Drive without being logged in. 2. How to create a batch file to map network drives after connected to VPN.
How to change directory to torosgazete.com files from different drive? 0.