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Cloud computing has become one of the most deliberated topics among cybersecurity experts and IT professionals. And more recently, cloud computing in ethical hacking has taken up the spotlight. With the rise of cloud crimes, experts are looking into how ethical hacking principles can curb security issues and boost forensic investigations as well.

Cloud computing presents new paths for malicious hackers to leverage vulnerabilities, thus increasing the new categories of vulnerability and cloud security concerns.Moreover, investigating crimes in the cloud can be somewhat demanding.

This article serves as an introduction to cloud computing and its benefits. It also explains how cloud computing in ethical hacking can be useful.

Cloud computing describes the on-demand delivery of IT competencies like storage, databases, servers, intelligence, analytics, networking, and others through metered services. This lets you customize, create, and configure applications either offline or online. The word cloud refers to a network.

Previously, you could only store information locally. An on-premises data center required organizations to manage everything procuring and virtualization, installation of an operating system, setting up network and storage for data, and maintenance.

Cloud computing dramatically altered this state of affairs by off-shoring or outsourcing ICT duties to third-party services. They are not only responsible for procurement and maintenance, but they also offer a wide range of platforms and software as a service. Some cloud computing service providers include Amazon Web Services, IBM Cloud, Google Cloud Platform, Microsoft Azure, VMware, DigitalOcean, RackSpace, etc.

There are four popular types of cloud computation:

This categorization is based on the types of services offered:

Cloud computing is highly valuable:

One of the major issues with cloud computing is security and privacy concerns over the infrastructure and services provided by a third party. While vendors try to ensure secure networks, a data breach could affect consumers and their businesses. Another concern is the need for private data to be stored separately.If another customer falls victim to an attack, the availability and integrity of the data might be compromised. Some of the common threats and attacks which can affected cloud computing are:

Cloud computing services make business applications mobile and cooperative. However, there is always the risk of security and privacy breach when handling sensitive data to vendors or a third party. The fundamental ethical principles of IT remains unaffected even with the emergence of cloud computing infrastructure and services.

It is critical to reconsider these principles. Particularly since most of what used to be completely internal deliberations of operations and risk management has been assigned to vendors and persons who sit beyond immediate organizational control. These vendors become the main keepers of customer data, risk mitigation, and functional operation. Therefore, they must understand the operational risks they are undertaking on behalf of their clients.

Similarly, these clients also have an obligation, since its possible they are also providing services to other clients. It is important to have an in-depth knowledge of the technology employed and its associated risks. The easiest way is to undertake due diligence when considering a third-party provider for cloud computing services.

At the end of the day, it all boils down to certain basic concepts: accountability, honesty, respect for privacy, and do unto others what you would like to be done unto you. Cloud computing can be maximized only if true, long-term trust is established between clients and providers. This can only be achieved through a definite system of ethics. As such, the storing of client data in the cloud should follow stricter regulations.

EC-Councils Certified Ethical Hacker (CEH) credential is the most extensively recognized and respected certification in this industry. CEH is a knowledge-based exam that will evaluate your competencies in Attack Prevention, Attack Detection, Information Security Threats and Attacks Vectors, Procedures, Methodologies, and more!

The CEH credential certifies security officers, site administrators, auditors, cybersecurity professionals, and other cybersecurity enthusiasts in the specific network security discipline of ethical hacking from a vendor-neutral perspective. For more information, visit our course page now!

FAQs

What is CIA in ethical hacking?

It is an acronym that stands for Confidentiality, Integrity, and Availability. However, the CIA triad forms the standard model implemented to assess the information security of an organization. Actually, these should function as the mission for every security program.

Is cloud computing safe from hackers?

Certain risks are linked to cloud computing. In fact, the development of cloud computing has made hacking more widespread. Data stored in the cloud are vulnerable to hackers, viruses, and malicious software. For instance, a malicious hacker can implement employee login ID information to remotely access critical data saved in the cloud.

Should I trust the cloud?

Yes, but not absolutely. Your data is fairly safe in the cloud as compared to your hard drive and other storage devices. Your cloud service eventually entrusts your sensitive data to the hands of other individuals. You have nothing to worry about if you are not really big on privacy.

Can the cloud be secure?

Although security threats persist, network defenses and security measures minimize the odds of victimhood. Restricting cloud access via internal firewalls facilitates security. Also, to an extent, encryption also helps keep data safe from unauthorized access.

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An Introduction to Cloud Computing | Ethical Hacking | EC-Council Blog - EC-Council Blog

Google is buying Actifio, the data management and DR vendor, to beef up its Google Cloud biz. Terms are undisclosed but maybe the price was on the cheap side.

Actifio has been through torrid time this year. The one-time unicorn refinanced for an unspecified sum at near-zero valuation in May. It then instituted a 100,000:1 reverse stock split for common stock which crashed the value of employees and ex-employees stock options.

Financial problems aside, Google Cloud is getting a company with substantial data protection and copy data management IP and a large roster of enterprise customers.

Matt Eastwood, SVP of infrastructure research at IDC, provided a supporting statement: The market for backup and DR services is large and growing, as enterprise customers focus more attention on protecting the value of their data as they accelerate their digital transformations. We think it is a positive move for Google Cloud to increase their focus in this area.

Google said the acquisition will help us to better serve enterprises as they deploy and manage business-critical workloads, including in hybrid scenarios. It also expressed commitment to supporting our backup and DR technology and channel partner ecosystem, providing customers with a variety of options so they can choose the solution that best fits their needs.

This all suggests Actifio software will still be available for on-premises use.

Ash Ashutosh, Actifio CEO, said in a press statement: Were excited to join Google Cloud and build on the success weve had as partners over the past four years. Backup and recovery is essential to enterprise cloud adoption and, together with Google Cloud, we are well-positioned to serve the needs of data-driven customers across industries.

Actifio was started by Ashutosh and David Chang in July 2009. The company took in $311.5m in total funding across A. B, C, D and F-rounds. The latter was for $100m in 2018 at a $1.3bn valuation.

Google Cloud says Actifios software:

Original post:
Google builds out Cloud with Actifio acquisition Blocks and Files - Blocks and Files

PHOTO:Chris Nguyen

Reaching an enlightened state of digital transformation is a different journey often with a different destination for every company. The phrase digital transformation itself is up for interpretation. Some define it as simply moving to SaaS apps or cloud infrastructures. The purer definition, however, is more about reimagining business processes to drive greater business success in the fast-paced digital age.

Working in the software space, I have a front row seat to many companies varying quests towards digital maturity. We tend to expect our largest financial institutions, insurance companies, and to some degree, healthcare companies, to be digitally transformed and cloud-ready. This is due in part to the nature of their businesses sensitive consumer information and massive volumes of data as well as to the fierceness of the competition. If they dont evolve quickly, someone else will steal precious market share. So while theyre not always striving to be innovative, theyre highly conscious of remaining competitive.

The over 30 million small businesses in the US, however, are always weighing the cost of digital transformation against the cost of maintaining business continuity and being happy (and profitable) with the status quo. Small businesses account for 99.9% of our economic engine and jobs, and they all fall in different places along the spectrum of digital maturity.

One thing most of them have in common? They were not ready for 2020.

Here are three big-picture lessons companies across the board learned during the digital transformation crash course we all got this year.

Being agile is arguably more about culture than adopting specific processes. Agile companies are trained to fail fast, iterate and keep moving forward. This requires complete transparency and open communication across teams. Getting negative results is critical to learning and growing.

Because agile companies are constantly in experimentation mode where friction is a part of growth, rather than something to avoid their teams know how to adapt quickly when unideal circumstances present themselves, no matter their origin.

Companies that hadnt established agile cultures prior to COVID-19 lockdowns had difficulty adapting to 2020. Growth and velocity were likely secondary to simply keeping up.

Related Article: The 3 Fundamental Pillars of Organizational Agility

Weve all heard stories of the critical server under someones desk thats responsible for a core business function. For companies that still operate this way due to slowness to adapt or fear that cloud servers arent secure enough 2020 was extremely stressful when they learned they werent allowed in the office the next morning.

There are many areas that can be overlooked when you havent embraced the cloud. For instance, do you use on-premises source control on servers with out-of-date hardware? Is your CRM a modern SaaS tool like Salesforce or is it a legacy client-server product? Are there third-party connectors or adapters you have built internally over the years that arent cloud-ready? For example, a C++ plug-in that works perfect on your LAN but does not have a Web API for the same functions over HTTP?

Every one of us can relate to this because it wasnt too long ago that most organizations were still vulnerable to these issues even at the largest enterprises. The takeaway is that on-prem and legacy issues can have a significant adverse effect when unforeseen emergencies happen in the physical environment.

Related Article: The Role of Distributed Cloud Computing in the Enterprise

While distributed teams arent a new concept for most of us, a 100% remote workforce is.

SaaS communication and collaboration tools had already become a part of some companies everyday processes over the past few years, but the majority of businesses were still slow to adopt. Many remained dependent on drive-by hallway conversations between team members or executives to get things done. To these companies, casual kitchen conversations that led to major business breakthroughs were the norm and instilled in their culture.

Now, with still mostly remote workforces, driving business performance will depend on using the digital platforms that focus on team and company alignment on goals, enable decision-making with analytics, hold teams and individuals accountable, and keep everyone in the know.

The takeaway? Establish a data culture. Use data to drive decision making and understand the data behind your key metrics.

Doing this will increase your teams performance by letting you prioritize the initiatives that help you meet larger organizational goals.

If I were to sum all of this up into a single thought, it would be: You must keep up with the rapid pace of technological change or you will not survive. What was once optional, is now critical.

Jason is the SVP of Developer Tools at Infragistics, where for 16 years hes held roles at the intersection of tech evangelism and product management. He and his team spearhead the customer-driven, innovative features and functionality throughout all Infragistics testing, developer and user experience products.

Read more here:
Your Digital Transformation Will Be as Successful as the Foundation Its Built On - CMSWire

Digital generated image of data.

Kubernetes is a system that helps with the deployment, scaling and management of containerized applications.Engineers at Google built it to handle the explosive workloads of the companys massive digital platforms.Then in 2014, the company made Kubernetes available as open source, which significantly expanded the usage.

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Yes, the technology is complicated but it is also strategic. This is why its important for business people to have a high-level understanding ofKubernetes.

Kubernetes is extended by an ecosystem of components and tools that relieve the burden of developing and running applications in public and private clouds, said Thomas Di Giacomo, who is the Chief Technology and Product Officer at SUSE.With this technology, IT teams can deploy and manage applications quickly and predictably, scale them on the fly, roll out new features seamlessly, and optimize hardware usage to required resources only.Because of what it enables, Kubernetes is going to be a major topic in boardroom discussions in 2021, as enterprises continue to adapt and modernize IT strategy to support remote workflows and their business.

In fact, Kubernetes changes the traditional paradigm of application development.The phrase cattle vs. pets is often used to describe the way that using a container orchestration platform like Kubernetes changes the way that software teams think about and deal with the servers powering their applications, said Phil Dougherty, who is the Senior Product Manager for the DigitalOcean App Platform for Kubernetes and Containers.Teams no longer need to think about individual servers as having specific jobs, and instead can let Kubernetes decide which server in the fleet is the best location to place the workload. If a server fails, Kubernetes will automatically move the applications to a different, healthy server.

There are certainly many use cases for Kubernetes.According to Brian Gracely, who is the Sr. Director of Product Strategy at Red Hat OpenShift, the technology has proven effective for:

Now all this is not to imply that Kubernetes is an elixir for IT.The technology does have its drawbacks.

As the largest open-source platform ever, it is extremely powerful but also quite complicated, said Mike Beckley, who is the Chief Technology Officer at Appian.If companies think their private cloud efforts will suddenly go from failure to success because of Kubernetes, they are kidding themselves. It will be a heavy lift to simply get up-to-speed because most companies dont have the skills, expertise and money for the transition.

Even the setup of Kubernetes can be convoluted.It can be difficult to configure for larger enterprises because of all the manual steps necessary for unique environments, said Darien Ford, who is the Senior Director of Software Engineering at Capital One.

But over time, the complexities will get simplified.Its the inevitable path of technology.And there will certainly be more investments from venture capitalists to build new tools and systems.

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We are already seeing the initial growth curve of Kubernetes with managed platforms across all of the hyper scalerslike Google, AWS, Microsoftas well as the major investments that VMware and IBM are making to address the hybrid multi-cloud needs of enterprise customers, said Eric Drobisewski, who is the Senior Architect at Liberty Mutual Insurance.With the large-scale adoption of Kubernetes and the thriving cloud-native ecosystem around it, the project has been guided and governed well by the Cloud Native Computing Foundation. This has ensured conformance across the multitude of Kubernetes providers.What comes next for Kubernetes will be the evolution to more distributed environments, such as through software defined networks, extended with 5G connectivity that will enable edge and IoT based deployments.

Tom (@ttaulli) is an advisor/board member to startups and the author of Artificial Intelligence Basics: A Non-Technical Introduction and The Robotic Process Automation Handbook: A Guide to Implementing RPA Systems. He also has developed various online courses, such as for the COBOL and Python programming languages.

More here:
Kubernetes: What You Need To Know - Forbes

The highlight ofAmazon Web Services Inc.s annual re:Invent conference is always the marathon three-hour keynote by Chief Executive Officer Andy Jassy, and despite the show going virtual this year, itll be the same today.

As he always has, the longtime leader of Amazon.com Inc.s cloud computing company will debut adizzying array of new and upgraded services, which AWS is keeping close to the vest until Jassys keynote starts at 8 a.m. PST today.

But in an exclusive video conversation, Jassy (pictured) revealed more than a few hints of whats coming: He offered a deep dive into the processors AWS Annapurna operation has designed, the challenges and opportunities of serverless computing, its plan to democratize artificial intelligence and machine learning, and its let-a-thousand-flowers-bloom strategy for purpose-built databases.The conversation was lightly edited for clarity.

Look for more strategic and competitive insights from Jassy in my summary and analysis of the interview, as well as in two more installments coming in the next week or so, and in thefirst partthat ran Monday. And check out all the re:Invent coverage through Dec. 18 by SiliconANGLE, its market research sister companyWikibonand itslivestreaming studio theCUBE.

Q: Whats your vision on the compute piece of cloud at AWS?

A: Theres three basic modes of compute that people run. There are instances, which is really the traditional way people run compute and often when people want to have deeper access to the resources on the machine. And then theres the smaller units of compute that are really coming on strong and growing at a very rapid clip in containers. And theres serverless. I think all three are there to stay and are all growing at a very rapid rate.

If I look at instances, we have an unmatched array of instances, not just the number of instances, but just if you look at the detail. We have the fastest networking instances with 400 gigabit-per-second capabilities and the largest high-memory instances of 24 terabytes, the largest storage instances. Weve got the most powerful machine learning training in instances and the most powerful inference instances. We have a very broad array of instances with more coming in the next few weeks that will further extend that differentiation.

But I think that one of the things that our customers are really excited about, and its changing the way they think about compute on the instance side, is the Graviton2 chips that we have built and launched in our families, like our R6G and M6G and T4G. Weve used Intel and AMD processors in our instances for a long time. And I actually expect that we will for a very long time. Those partnerships are deep and matter and will be around for a long time. But we know that if we want to continue to push the price-performance of these chips and our customers want us to, were going to have to design and build some of those chips ourselves.

Q: Whats behind doing your own chip designs?

A: We bought a business, the Annapurna business, and they were a very experienced team of chip designers and builders. We put them to work on chips that we thought could really make a big difference to our customers. We started with generalized compute and we built these Graviton chips initially in the A1 instances we launched a few years ago, which really were for scale-out workloads like the web tier or microservices, things like that. It was 30% better price-performance and customers really liked them, but there were some limitations to their capabilities that made it much more appropriate for a smaller set of workloads.

We didnt know how fast customers would pick up those Graviton chips, butthey adopted them a lot quicker than we even thought. And a customer said, Can you build a chip that is a version of that that can allow us to run all our workloads on it? And thats what we do with Graviton2, which if you look at the performance of what weve delivered with Graviton2 chips in those instances I mentioned, its 40% better price performance than the latest processors from the large x86 providers. Thats a big deal. So we have customers trying to move as many workloads as they can as quickly as possible to these Graviton2 instances.

Q: The Annapurna team doesnt get a lot of public attention. What else has it been doing?

A: Weve also put that Annapurna team to work on some hard machine learning challenges. We felt like training was something that was reasonably well-covered. The reality is when you do big machine learning models at scale, 90% of your cost is on the inference or the predictions. So we built a chip to optimize the inference called Inferentia. And that already is growing incredibly quickly. Alexa, which is one of biggest machine learning models and inference machines around, already has 80% of its predictions being made through Inferentia. Thats saving it 30% on costs and 25% on latency.

So were continuing to build chips. We have the scale and the number of customers and the input from customers that allow us to be able to optimize for workloads that really matter to customers.

Q: Turning to containers, whats your strategy given all the competition there?

A: Most providers have a single container offering, which is a managed Kubernetes offering. But we realized with builders that they dont believe in one tool to rule the world. Different developers and teams have different tastes and different interests and different needs. So if youre a developer that wants to optimize for using the open-source Kubernetes framework, then youll use our Elastic KubernetesService (EKS), and its growing incredibly quickly. If youre somebody who wants to optimize for the container framework that has the deepest integration with AWS, youll work on our Elastic Container Service or ECS. Because since we own it, we can launch everything right from the get-go without having to run it through anybody else. So you have deep integration.

And if youre running containers without thinking about servers or clusters, then you run Fargate. By far, the largest number of net new container customers to AWS get going using Fargate because its serverless and they dont have to worry about it. You and I talked about it a few years ago at the Cube. I remember on your show I said that if Amazon were starting from scratch today, that we would build it on top of Lambda and on top of our serverless services. I think it was Stu [Miniman] who said, Youre not serious about that. I said, Oh no, I am serious about it.

Q: How serious are developers about it?

A: In 2020, half of the new applications that Amazon built were built on top of Lambda compute. I think the next generation of developers are going to grow up building in this serverless fashion, which is a combination of having event-driven, serverless computing service like Lambda and a bunch of enabling services like API Gateway and our Event Bus, Event Watch and things like Step Functions for orchestration workflow. But also all the services that can set event driven serverless triggers. We have 140 services at this point, which is seven times more than anybody else has.

You can really build end-to-end serverless workflows and applications that you couldnt a few years ago. I think compute is totally being reinvented and were working hard to help customers have better capabilities, more cost-effective and more agile.

Q: One surprise success is the partnership between AWS and VMware, which many people back in 2016 when it was announced by you and VMware CEO Pat Gelsinger thought was VMware simply capitulating to Amazon. Hows it going, and does it represent a trend?

A: Youre right that VMware Cloud and AWS, or VMC as the offering is called, has been a huge success for both VMware and for AWS. There are a lot of things that they were purported to make it easier to do hybrid that really were a lot of hype and no traction. The traction on VMC is very significant, even just in the last year double the number of nodes, double the number of VMs and big enterprises making their move to the cloud through VMC together.

Because most of the world is virtualized on VMware, to be able to use those same tools that youve used to run your infrastructure on VMware for many years to deploy and manage your AWS deployments is super-attractive. Thats why its compelling, but I will tell you that everybody aspires to have partnerships like that. We have a lot of them and lots of other companies do, but I would say that there arent that many partnerships that work as well as the way its working with VMware and AWS.

Q: Why did it work out that way?

A: It takes both companies really willing to lean in and to commit engineering resources together, to build something and to get your [people in the field] connected. You cant just make a press release and then just let it go and fire, forget. Those teams are meeting all the time at every level. And both Pat and I are very passionate and supportive and prioritize it. And we meet frequently together and with our teams. And I think those teams really function as one. I think our customers are seeing that. Even if you aspire to have a unique partnership like that, it takes a lot of work.

Q: How are developers viewing AWS now? How would you grade yourself in terms of ease of developer use and developer satisfaction?

A: Well, if you rate it based on how people are voting with their workloads and the amount of applications and workloads people are running on AWS, I think were doing quite well. But I would also argue thats not necessarily the right bar. I would say that we are perpetually dissatisfied with making it as easy as possible for developers to abstract away as much of the heavy lifting as you can. And I think were going to be working on that forever.

If you look at containers and you look at serverless, which is the smaller units of compute that more and more customers are moving to, even though weve radically improved how easy it is to get going and customers are moving really fast and Fargate is this totally different serverless offering nobody else has, I think we have a long way to go to get to where we want to be.

Q: What are some of the challenges of serverless?

A: If you use containers and serverless together, or Ill say Lambda on the compute side, you actually want to be able to deploy both of them from the same tools. Nobodys made that easy. No ones made it possible today. Just think about the challenge, John, in the difference in deployed containers than traditional instance-space servers. The traditional instance-space applications, its one code base. You use infrastructure as code tools like Cloud Formation, you build a CI/CD pipeline to deploy it. Its a block of code. If you have to change it, you change the block of code.

Thats very different than containers where people are building in these smaller chunks really of microservices where they all have their own code. They all have their own CI/CD pipelines. There are lots of teams that are actually operating on these that end up comprising a full application. For just one application where you have all those microservices, its really hard to keep them consistent and deploy in a high-quality way to track what everybodys doing that contributes to that application. And theres loads and loads of those. There are no tools today, really no tools, that do that well. And thats something that really matters to developers and something were working on.

Q: Last year on theCUBE, we were riffing on the fact that theres going to be thousands of databases out there, not one database to rule the world. First, I wanted to ask how customers are viewing database licensing issues that may affect which clouds they use.

A: For many years, most companies only ran on relational databases. And when you were in the neighborhood of gigabytes and sometimes terabytes of data that mightve been OK, but in this new world where were in the neighborhood of terabytes and petabytes, and even sometimes exabytes, those relational databases are not appropriate for a lot of those workloads.

If you look at their commercial-grade relational databases, which have really had all of the workloads on them back when people were running relational for everything, theyre basically Oracle and Microsoft SQL Server. And if you look at those two companies and those offerings, the offerings are expensive, proprietary, have high amounts of lock-in.

And then they have licensing terms that are really punitive where theyre constantly auditing their customers. And when they find things, they try to extract more money from them or theyll let you off the hook if you buy more from them. And I think those companies have no qualms about changing the licensing terms midstream to benefit themselves.

Q: Examples?

A: Just look at what Microsoft did with SQL Server over the last year or two where they basically told customers who had bought SQL Server licenses they couldnt use them on any other cloud than Microsoft. Now, is that better for customers? Hell no. Is it better for Microsoft? I think they think so. I happen to think its really short-term thinking, because customers really resent that. And as quickly as they can flee, they will.

But I think customers in general are really fed up and sick of these commercial-grade, old-guard database providers who change the licensing terms whenever they want and the pricing whenever they want to suit themselves. And I think its why so many companies have moved as quickly as they can to those open-source engines like MySQL. Its why we built Aurora, which is 100% compatible. They have additions for MySQL and PostgreSQL. Thats why its the fastest-growing service five, six years running.

So I think that customers are fed up with it. Theyre moving as fast as they can. We have an accelerating number of customers who are looking to move away, not just from Oracle, but from SQL Server, because theyre really sick of whats happening and they dont trust those companies anymore.

Q: More broadly, whats up with all these new databases from Amazon and others, and whats the value for customers?

A: In this new world, theres so much more data. Whats happened over time is that people realize that relational databases are more expensive and complex and overkill than they need for a lot of use cases, and that theyre better off with these purpose-built databases, like key-value stores, or in-memory databases, or graph databases, or time series databases, or document databases, all those types of things.

Most companies have got these central data lakes to run analytics and machine learning. And yet at the same time theyre using more and more of these purpose-built databases and purpose-built analytics services like Athena and Redshift and EMR and Kinesis and things like that. A lot of customers are trying to come to grips with, How do I think about having this data in the middle and this data in all of these external nodes, which I need to do for a lot of my applications for operational performance?

What a lot of customers are asking for help on is how to move that data from the inside out, from the outside in, and from those purpose-built databases on the outside, along the perimeter to other outside databases. Because if you can actually take some of those same views from databases and materialize them into other spots, they open up all kinds of opportunities, which today are really arduous and hard to do. And thats another area that were really squarely focused on.

Q: One of the things weve always said is that the huge thing about cloud is horizontal scalability. You can have purpose-built databases, but if you can tie them together horizontally, thats a benefit, and you can still have vertical specialty for the application. So are the old guard, these old mission-critical workloads, going to be replaced or cloudified or what?

A: An accelerating number of companies are not just building their new databases from the get-go on top of things like Aurora or the purpose-built databases we have, but are migrating away from those older guard databases as fast as they can. Since we built our database migration service, we have over 350,000 databases that have moved.

The Database Migration Service actually makes it quite doable to move the data and the database to another source and the Schema Conversion Tool we have allows you to move those schemas. And the last piece the customers really want help with is how to move that application code thats unique to some of these databases. Because some of these old-guard databases have built these unique dialects that work just with their particular database engine.

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How AWS is computing the future of the cloud - SiliconANGLE News