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Gloucester based Cyber Security Associates has announced a new working partnership with Hemel Hempstead-based Koris365, an IT Managed Services provider, to build on the company’s current security offering. CSA is adding its robust cyber security services to Koris 365’s customer base. With cyber security attacks, such as ransomware and malware, on the rise, Cyber Security Associates’ expertise, built on a foundation of MOD, GCHQ and ex-military expertise, along with commercially experienced specialists, will give Koris365’s customers’ continued protection against ever-evolving cyber threats. All CSA employees have enhanced Government security clearance. Co-Founder and Managing Director at CSA, David Woodfine, who is also Chairman of the Gloucestershire Local Enterprise Partnership Cyber Security Business Group, comments on the partnership: “I am really pleased and excited to be working together with the talented team at Koris365. We saw a great opportunity to collaborate with Koris365 to enhance their cyber offering to ensure their clients’ security needs are met with our best-of-breed cyber solutions, especially since cyber attacks are increasing not only in frequency but in sophistication. We share Koris365’s commitment to delivering outstanding customer service, so it’s been great to get to know the team behind it, and I look forward to continuing to work with them as an extension of the in-house teams for Koris365 customers.” Group Sales Director, Paul Toms at Koris365, added: “As more businesses transitioned to cloud-based technologies and remote working following the pandemic, it was important to us to find a suitable cyber security partner to build on our existing security solutions so we could enhance and future-proof the new technologies our customers were adopting. Given CSA’s reputation as one of the...
In this post, we are going to see how we can create a REST API application for authentication using AWS Cognito, AWS Serverless, and NodeJS. We are going to use Lambda functions, API Gateway, and the Serverless framework to achieve this. Let’s start by setting up the project. Project setup Our project structure will look like this: As you can see, we are storing all our lambda function files in a folder named user and all our utility functions in a separate folder called functions. Other than that there is a serverless.yml file which is a core file for any serverless-based project. If you want to know more about this file, check out this post. Serverless.yml file Let’s start coding our serverless.yml file where we will be defining all our lambda functions. It will hold our logic for Sign up, Sign in, and so on. We will also define our AWS Cognito user pool and user pool client with different settings and permissions. Let’s break this file into different parts so we can understand each part separately. How to define AWS IAM permissions and settings We will start by defining things like environment variables, serverless project configuration, settings, and AWS IAM permissions. Under the provider block we are defining multiple configurations and settings. Let’s discuss each part in brief. In this block, we define all our environment variables which we want to use in our project, like in our lambda functions and so on. We set the user pool id and client id of our AWS Cognito user pool and client. And we are also referencing the resources which...
We are officially starting the hunt for a full-time senior web developer. As a growing business with a reputation for beautiful and unique design and development, we’re looking to expand our awesome team by welcoming on board a new and experienced web developer. About Studio Illicit Studio Illicit started life 12 years ago as a recording studio, formed by 3 members of a touring punk band. We’re now a small team of nine people working from our contemporary studio offices in the centre of Exeter. We always remember our punk routes and try to bring this energy to every project we take on. We’re also a team that cares deeply about our social responsibilities, making sure to offset our carbon emissions to ensure an entire green office while also supporting projects that improve lives and fight climate change. We’re an equal opportunity employer and as a team, we each bring skills and talents that enable us to source, design and develop some of the most original, innovative and exciting sites on the web. We boast killer offices, a crew full of fun and energy, lots of coffee, cake and beer n pizza socials, as well as the chance to work on some awesome projects and grow with a company that is ever-evolving! Position Details This vacancy is suited to an experienced web developer with good knowledge of modern processes and tools. The candidate will be an all-rounder with strong initiative, a relaxed and positive attitude, and the ability to manage multiple projects effectively. Excellent working knowledge of PHP, HTML, JavaScript and CSS are essential, as is extensive experience...
Hear from CIOs, CTOs, and other C-level and senior execs on data and AI strategies at the Future of Work Summit this January 12, 2022. Learn more This article was contributed by Aymane Hachcham, data scientist and contributor to neptune.ai MLOps refers to the operation of machine learning in production. It combines DevOps with lifecycle tracking, reusable infrastructure, and reproducible environments to operationalize machine learning at scale across an entire organization. The term MLOps was first coined by Google in their paper on Machine Learning Operations, although it does have roots in software operations. Google’s goal with this paper was to introduce a new approach to developing AI products that is more agile, collaborative, and customer-centric. MLOps is an advanced form of traditional DevOps and ML/AI that mostly focuses on automation to design, manage, and optimize ML pipelines. Machine learning on top of DevOps MLOps is based on DevOps, which is a modern practice for building, delivering, and operating corporate applications effectively. DevOps began a decade ago as a method for rival tribes of software developers (the Devs) and IT operations teams (the Ops) to interact. MLOps help data scientists monitor and keep track of their solutions in real-life production environments. Furthermore, the real work that happens behind the scenes when pushing to production involves significant issues in terms of both raw performance and managerial discipline. Datasets are huge and constantly expanding, and they can change in real-time. AI models need regular monitoring via rounds of experimentation, adjusting, and retraining. Lifecycle tracking Lifecycle tracking is a process that enables various team members to track and manage the life cycle of...
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