Diving into the world of Linux offers a rich tapestry of desktop environments, each with its own unique flair. Among these, Cinnamon stands out for its elegance, simplicity, and adaptability. If you’re using Ubuntu 20.04 and wish to switch things up a bit or perhaps enjoy a more traditional interface, then installing Cinnamon might be just what you need. In this guide, we’ll walk you through the process of integrating Cinnamon into your Ubuntu setup, giving you the tools to rejuvenate your desktop experience.
What Are the Features of Cinnamon Desktop?
Cinnamon is a popular desktop environment known for its traditional, user-friendly interface combined with modern features and functionality. Below are some of the standout features of Cinnamon:
- Modern Interface with Traditional Layout. Cinnamon offers a layout reminiscent of older Windows versions, ensuring familiarity, especially for those transitioning from a Windows environment. It combines a modern aesthetic with a traditional, user-friendly design.
- Nemo File Manager. A standout feature of Cinnamon, Nemo provides an efficient way to manage files, supporting functionalities like type-ahead find and inline renaming.
- Customizable Panel & Applets. The Cinnamon panel is highly adaptable, allowing positioning at any screen edge. It can be enhanced with applets – small utilities for quick access to various tools, ranging from weather updates to system monitors.
- Themes & Personalization. Cinnamon stands out for its customization options. Users can extensively tweak themes, icons, and other visual elements to make the desktop truly their own.
- Integrated System Settings. A one-stop hub for all configuration needs, from backgrounds and themes to extensions, ensuring that users can easily tailor their experience without needing multiple tools or applications.
Install Cinnamon on Ubuntu 20.04
Sure, I can provide a step-by-step guide to install Cinnamon on Ubuntu 20.04. Here’s a walkthrough:
#1 Update and Upgrade Your System
Before installing any new software, it’s a good practice to update and upgrade your system to have the latest patches and updates. This command updates the package list and then upgrades the installed packages to their latest versions.
sudo apt update && sudo apt upgrade -y#2 Install Cinnamon Desktop Environment
Now, you’ll install the Cinnamon desktop environment. This command installs the Cinnamon desktop environment and its necessary dependencies.
sudo apt install cinnamon -ySample Output:
#3 Restart Your System
Once the installation is complete, you’ll need to restart your system. This command reboots your computer.
sudo reboot#4 Select Cinnamon at Login
Upon reaching the login screen after rebooting:
- Click on the gear icon or equivalent (usually near the password field).
- From the dropdown menu, select “Cinnamon” (or “Cinnamon (Software Rendering)” if you’re experiencing graphics issues).
- Log in as usual.
That’s it! You’ve successfully installed and switched to the Cinnamon desktop environment on Ubuntu 20.04.
Conclusion
Want to run Ubuntu in a virtual environment? With Gcore Cloud, you can choose from Basic VM, Virtual Instances, or VPS/VDS suitable for Ubuntu:
- Gcore Basic VM offers shared virtual machines from €3.2 per month
- Virtual Instances are virtual machines with a variety of configurations and an application marketplace
- Virtual Dedicated Servers provide outstanding speed of 200+ Mbps in 20+ global locations
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While digital transformation in recent years has driven great innovation, cyber threats have changed in parallel, evolving to target the very applications businesses rely on to thrive. Traditional web application security measures, foundational as they may be, are no longer effective in combating sophisticated attacks in time. Enter the next generation of WAFs (web application firewalls) powered by artificial intelligence.Next-generation WAFs, often incorporated into WAAP solutions, do much more than respond to threats; instead, they will use AI and ML-powered techniques to predict and neutralize threats in real time. 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How AI helps prevent API attacks
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Bare metal vs. virtual machines: performance, cost, and use case comparison
Choosing the right type of server infrastructure is critical to how your application performs, scales, and fits your budget. For most workloads, the decision comes down to two core options: bare metal servers and virtual machines (VMs). Both can be deployed in the cloud, but they differ significantly in terms of performance, control, scalability, and cost.In this article, we break down the core differences between bare metal and virtual servers, highlight when to choose each, and explain how Gcore can help you deploy the right infrastructure for your needs. If you want to learn about either BM or VMs in detail, we’ve got articles for those: here’s the one for bare metal, and here’s a deep dive into virtual machines.Bare metal vs. virtual machines at a glanceWhen evaluating whether bare metal or virtual machines are right for your company, consider your specific workload requirements, performance priorities, and business objectives. 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You get exclusive access and control over the hardware via the cloud provider, which offers the stability and security needed for high-demand applications.The benefits of bare metal serversHere are some of the business advantages of opting for a bare metal server:Maximized performance: Because they are dedicated resources, bare metal servers provide top-tier performance without sharing processing power, memory, or storage with other users. This makes them ideal for resource-intensive applications like high-performance computing (HPC), big data processing, and game hosting.Greater control: Since you have direct access to the hardware, you can customize the server to meet your specific requirements. This is especially important for businesses with complex, specialized needs that require fine-tuned configurations.High security: Bare metal servers offer a higher level of security than their alternatives due to the absence of virtualization. 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Optimize your workload: a guide to selecting the best virtual machine configuration
Virtual machines (VMs) offer the flexibility, scalability, and cost-efficiency that businesses need to optimize workloads. However, choosing the wrong setup can lead to poor performance, wasted resources, and unnecessary costs.In this guide, we’ll walk you through the essential factors to consider when selecting the best virtual machine configuration for your specific workload needs.﹟1 Understand your workload requirementsThe first step in choosing the right virtual machine configuration is understanding the nature of your workload. Workloads can range from light, everyday tasks to resource-intensive applications. When making your decision, consider the following:Compute-intensive workloads: Applications like video rendering, scientific simulations, and data analysis require a higher number of CPU cores. Opt for VMs with multiple processors or CPUs for smoother performance.Memory-intensive workloads: Databases, big data analytics, and high-performance computing (HPC) jobs often need more RAM. Choose a VM configuration that provides sufficient memory to avoid memory bottlenecks.Storage-intensive workloads: If your workload relies heavily on storage, such as file servers or applications requiring frequent read/write operations, prioritize VM configurations that offer high-speed storage options, such as SSDs or NVMe.I/O-intensive workloads: Applications that require frequent network or disk I/O, such as cloud services and distributed applications, benefit from VMs with high-bandwidth and low-latency network interfaces.﹟2 Consider VM size and scalabilityOnce you understand your workload’s requirements, the next step is to choose the right VM size. VM sizes are typically categorized by the amount of CPU, memory, and storage they offer.Start with a baseline: Select a VM configuration that offers a balanced ratio of CPU, RAM, and storage based on your workload type.Scalability: Choose a VM size that allows you to easily scale up or down as your needs change. Many cloud providers offer auto-scaling capabilities that adjust your VM’s resources based on real-time demand, providing flexibility and cost savings.Overprovisioning vs. underprovisioning: Avoid overprovisioning (allocating excessive resources) unless your workload demands peak capacity at all times, as this can lead to unnecessary costs. Similarly, underprovisioning can affect performance, so finding the right balance is essential.﹟3 Evaluate CPU and memory considerationsThe central processing unit (CPU) and memory (RAM) are the heart of a virtual machine. The configuration of both plays a significant role in performance. Workloads that need high processing power, such as video encoding, machine learning, or simulations, will benefit from VMs with multiple CPU cores. However, be mindful of CPU architecture—look for VMs that offer the latest processors (e.g., Intel Xeon, AMD EPYC) for better performance per core.It’s also important that the VM has enough memory to avoid paging, which occurs when the system uses disk space as virtual memory, significantly slowing down performance. Consider a configuration with more RAM and support for faster memory types like DDR4 for memory-heavy applications.﹟4 Assess storage performance and capacityStorage performance and capacity can significantly impact the performance of your virtual machine, especially for applications requiring large data volumes. Key considerations include:Disk type: For faster read/write operations, opt for solid-state drives (SSDs) over traditional hard disk drives (HDDs). Some cloud providers also offer NVMe storage, which can provide even greater speed for highly demanding workloads.Disk size: Choose the right size based on the amount of data you need to store and process. Over-allocating storage space might seem like a safe bet, but it can also increase costs unnecessarily. You can always resize disks later, so avoid over-allocating them upfront.IOPS and throughput: Some workloads require high input/output operations per second (IOPS). If this is a priority for your workload (e.g., databases), make sure that your VM configuration includes high IOPS storage options.﹟5 Weigh up your network requirementsWhen working with cloud-based VMs, network performance is a critical consideration. High-speed and low-latency networking can make a difference for applications such as online gaming, video conferencing, and real-time analytics.Bandwidth: Check whether the VM configuration offers the necessary bandwidth for your workload. For applications that handle large data transfers, such as cloud backup or file servers, make sure that the network interface provides high throughput.Network latency: Low latency is crucial for applications where real-time performance is key (e.g., trading systems, gaming). Choose VMs with low-latency networking options to minimize delays and improve the user experience.Network isolation and security: Check if your VM configuration provides the necessary network isolation and security features, especially when handling sensitive data or operating in multi-tenant environments.﹟6 Factor in cost considerationsWhile it’s essential that your VM has the right configuration, cost is always an important factor to consider. Cloud providers typically charge based on the resources allocated, so optimizing for cost efficiency can significantly impact your budget.Consider whether a pay-as-you-go or reserved model (which offers discounted rates in exchange for a long-term commitment) fits your usage pattern. The reserved option can provide significant savings if your workload runs continuously. You can also use monitoring tools to track your VM’s performance and resource usage over time. This data will help you make informed decisions about scaling up or down so you’re not paying for unused resources.﹟7 Evaluate security featuresSecurity is a primary concern when selecting a VM configuration, especially for workloads handling sensitive data. Consider the following:Built-in security: Look for VMs that offer integrated security features such as DDoS protection, web application firewall (WAF), and encryption.Compliance: Check that the VM configuration meets industry standards and regulations, such as GDPR, ISO 27001, and PCI DSS.Network security: Evaluate the VM's network isolation capabilities and the availability of cloud firewalls to manage incoming and outgoing traffic.﹟8 Consider geographic locationThe geographic location of your VM can impact latency and compliance. Therefore, it’s a good idea to choose VM locations that are geographically close to your end users to minimize latency and improve performance. In addition, it’s essential to select VM locations that comply with local data sovereignty laws and regulations.﹟9 Assess backup and recovery optionsBackup and recovery are critical for maintaining data integrity and availability. Look for VMs that offer automated backup solutions so that data is regularly saved. You should also evaluate disaster recovery capabilities, including the ability to quickly restore data and applications in case of failure.﹟10 Test and iterateFinally, once you've chosen a VM configuration, testing its performance under real-world conditions is essential. Most cloud providers offer performance monitoring tools that allow you to assess how well your VM is meeting your workload requirements.If you notice any performance bottlenecks, be prepared to adjust the configuration. This could involve increasing CPU cores, adding more memory, or upgrading storage. Regular testing and fine-tuning means that your VM is always optimized.Choosing a virtual machine that suits your requirementsSelecting the best virtual machine configuration is a key step toward optimizing your workloads efficiently, cost-effectively, and without unnecessary performance bottlenecks. By understanding your workload’s needs, considering factors like CPU, memory, storage, and network performance, and continuously monitoring resource usage, you can make informed decisions that lead to better outcomes and savings.Whether you're running a small application or large-scale enterprise software, the right VM configuration can significantly improve performance and cost. Gcore offers a wide range of virtual machine options that can meet your unique requirements. Our virtual machines are designed to meet diverse workload requirements, providing dedicated vCPUs, high-speed storage, and low-latency networking across 30+ global regions. You can scale compute resources on demand, benefit from free egress traffic, and enjoy flexible pricing models by paying only for the resources in use, maximizing the value of your cloud investments.Contact us to discuss your VM needs
11 simple tips for securing your APIs
A vast 84% of organizations have experienced API security incidents in the past year. APIs (application programming interfaces) are the backbone of modern technology, allowing seamless interaction between diverse software platforms. However, this increased connectivity comes with a downside: a higher risk of security breaches, which can include injection attacks, credential stuffing, and L7 DDoS attacks, as well as the ever-growing threat of AI-based attacks.Fortunately, developers and IT teams can implement DIY API protection. Mitigating vulnerabilities involves using secure coding techniques, conducting thorough testing, and applying strong security protocols and frameworks. Alternatively, you can simply use a WAAP (web application and API protection) solution for specialized, one-click, robust API protection.This article explains 11 practical tips that can help protect your APIs from security threats and hacking attempts, with examples of commands and sample outputs to provide API security.#1 Implement authentication and authorizationUse robust authentication mechanisms to verify user identity and authorization strategies like OAuth 2.0 to manage access to resources. Using OAuth 2.0, you can set up a token-based authentication system where clients request access tokens using credentials. # Requesting an access token curl -X POST https://yourapi.com/oauth/token \ -d "grant_type=client_credentials" \ -d "client_id=your_client_id" \ -d "client_secret=your_client_secret" Sample output: { "access_token": "eyJ0eXAiOiJKV1QiLCJhbGciOiJIUzI1NiJ9...", "token_type": "bearer", "expires_in": 3600 } #2 Secure communication with HTTPSEncrypting data in transit using HTTPS can help prevent eavesdropping and man-in-the-middle attacks. Enabling HTTPS may involve configuring your web server with SSL/TLS certificates, such as Let’s Encrypt with nginx. sudo certbot --nginx -d yourapi.com #3 Validate and sanitize inputValidating and sanitizing all user inputs protects against injection and other attacks. For a Node.js API, use express-validator middleware to validate incoming data. app.post('/api/user', [ body('email').isEmail(), body('password').isLength({ min: 5 }) ], (req, res) => { const errors = validationResult(req); if (!errors.isEmpty()) { return res.status(400).json({ errors: errors.array() }); } // Proceed with user registration }); #4 Use rate limitingLimit the number of requests a client can make within a specified time frame to prevent abuse. The express-rate-limit library implements rate limiting in Express.js. const rateLimit = require('express-rate-limit'); const apiLimiter = rateLimit({ windowMs: 15 * 60 * 1000, // 15 minutes max: 100 }); app.use('/api/', apiLimiter); #5 Undertake regular security auditsRegularly audit your API and its dependencies for vulnerabilities. Runnpm auditin your Node.js project to detect known vulnerabilities in your dependencies. npm audit Sample output: found 0 vulnerabilities in 1050 scanned packages #6 Implement access controlsImplement configurations so that users can only access resources they are authorized to view or edit, typically through roles or permissions. The two more common systems are Role-Based Access Control (RBAC) and Attribute-Based Access Control (ABAC) for a more granular approach.You might also consider applying zero-trust security measures such as the principle of least privilege (PoLP), which gives users the minimal permissions necessary to perform their tasks. Multi-factor authentication (MFA) adds an extra layer of security beyond usernames and passwords.#7 Monitor and log activityMaintain comprehensive logs of API activity with a focus on both performance and security. By treating logging as a critical security measure—not just an operational tool—organizations can gain deeper visibility into potential threats, detect anomalies more effectively, and accelerate incident response.#8 Keep dependencies up-to-dateRegularly update all libraries, frameworks, and other dependencies to mitigate known vulnerabilities. For a Node.js project, updating all dependencies to their latest versions is vital. npm update #9 Secure API keysIf your API uses keys for access, we recommend that you make sure that they are securely stored and managed. Modern systems often utilize dynamic key generation techniques, leveraging algorithms to automatically produce unique and unpredictable keys. This approach enhances security by reducing the risk of brute-force attacks and improving efficiency.#10 Conduct penetration testingRegularly test your API with penetration testing to identify and fix security vulnerabilities. By simulating real-world attack scenarios, your organizations can systematically identify vulnerabilities within various API components. This proactive approach enables the timely mitigation of security risks, reducing the likelihood of discovering such issues through post-incident reports and enhancing overall cybersecurity resilience.#11 Simply implement WAAPIn addition to taking the above steps to secure your APIs, a WAAP (web application and API protection) solution can defend your system against known and unknown threats by consistently monitoring, detecting, and mitigating risks. With advanced algorithms and machine learning, WAAP safeguards your system from attacks like SQL injection, DDoS, and bot traffic, which can compromise the integrity of your APIs.Take your API protection to the next levelThese steps will help protect your APIs against common threats—but security is never one-and-done. Regular reviews and updates are essential to stay ahead of evolving vulnerabilities. To keep on top of the latest trends, we encourage you to read more of our top cybersecurity tips or download our ultimate guide to WAAP.Implementing specialized cybersecurity solutions such as WAAP, which combines web application firewall (WAF), bot management, Layer 7 DDoS protection, and API security, is the best way to protect your assets. Designed to tackle the complex challenges of API threats in the age of AI, Gcore WAAP is an advanced solution that keeps you ahead of security threats.Discover why WAAP is a non-negotiable with our free ebook
What are zero-day attacks? Risks, prevention tips, and new trends
Zero-day attack is a term for any attack that targets a vulnerability in software or hardware that has yet to be discovered by the vendor or developer. The term “zero-day” stems from the idea that the developer has had zero days to address or patch the vulnerability before it is exploited.In a zero-day attack, an attacker finds a vulnerability before a developer discovers and patches itThe danger of zero-day attacks lies in their unknownness. Because the vulnerabilities they target are undiscovered, traditional defense mechanisms or firewalls may not detect them as no specific patch exists, making attack success rates higher than for known attack types. This makes proactive and innovative security measures, like AI-enabled WAAP, crucial for organizations to stay secure.Why are zero-day attacks a threat to businesses?Zero-day attacks pose a unique challenge for businesses due to their unpredictable nature. Since these exploits take advantage of previously unknown vulnerabilities, organizations have no warning or time to deploy a patch before they are targeted. This makes zero-day attacks exceptionally difficult to detect and mitigate, leaving businesses vulnerable to potentially severe consequences. As a result, zero-day attacks can have devastating consequences for organizations of all sizes. They pose financial, reputational, and regulatory risks that can be difficult to recover from, including the following:Financial and operational damage: Ransomware attacks leveraging zero-day vulnerabilities can cripple operations and lead to significant financial losses due to data breach fines. According to recent studies, the average cost of a data breach in 2025 has surpassed $5 million, with zero-day exploits contributing significantly to these figures.Reputation and trust erosion: Beyond monetary losses, zero-day attacks erode customer trust. A single breach can damage an organization’s reputation, leading to customer churn and lost opportunities.Regulatory implications: With strict regulations like GDPR in the EU and similar frameworks emerging globally, organizations face hefty fines for data breaches. Zero-day vulnerabilities, though difficult to predict, do not exempt businesses from compliance obligations.The threat is made clear by recent successful examples of zero-day attacks. The Log4j vulnerability (Log4Shell), discovered in 2021, affected millions of applications worldwide and was widely exploited. In 2023, the MOVEit Transfer exploit was used to compromise data from numerous government and corporate systems. These incidents demonstrate how zero-day attacks can have far-reaching consequences across different industries.New trends in zero-day attacksAs cybercriminals become more sophisticated, zero-day attacks continue to evolve. New methods and technologies are making it easier for attackers to exploit vulnerabilities before they are discovered. The latest trends in zero-day attacks include AI-powered attacks, expanding attack surfaces, and sophisticated multi-vendor attacks.AI-powered attacksAttackers are increasingly leveraging artificial intelligence to identify and exploit vulnerabilities faster than ever before. AI tools can analyze vast amounts of code and detect potential weaknesses in a fraction of the time it would take a human. Moreover, AI can automate the creation of malware, making attacks more frequent and harder to counter.For example, AI-driven malware can adapt in real time to avoid detection, making it particularly effective in targeting enterprise networks and cloud-based applications. Hypothetically, an attacker could use an AI algorithm to scan for weaknesses in widely used SaaS applications, launching an exploit before a patch is even possible.Expanding attack surfacesThe digital transformation continues to expand the attack surface for zero-day exploits. APIs, IoT devices, and cloud-based services are increasingly targeted, as they often rely on interconnected systems with complex dependencies. A single unpatched vulnerability in an API could provide attackers with access to critical data or applications.Sophisticated multi-vector attacksCybercriminals are combining zero-day exploits with other tactics, such as phishing or social engineering, to create multi-vector attacks. This approach increases the likelihood of success and makes defense efforts more challenging.Prevent zero-day attacks with AI-powered WAAPWAAP solutions are becoming a cornerstone of modern cybersecurity, particularly in addressing zero-day vulnerabilities. Here’s how they help:Behavioral analytics: WAAP solutions use behavioral models to detect unusual traffic patterns, blocking potential exploits before they can cause damage.Automated patching: By shielding applications with virtual patches, WAAP can provide immediate protection against vulnerabilities while a permanent fix is developed.API security: With APIs increasingly targeted, WAAP’s ability to secure API endpoints is critical. It ensures that only authorized requests are processed, reducing the risk of exploitation.How WAAP stops AI-driven zero-day attacksAI is not just a tool for attackers—it is also a powerful ally for defenders. Machine learning algorithms can analyze user behavior and network activity to identify anomalies in real time. These systems can detect and block suspicious activities that might indicate an attempted zero-day exploit.Threat intelligence platforms powered by AI can also predict emerging vulnerabilities by analyzing trends and known exploits. This enables organizations to prepare for potential attacks before they occur.At Gcore, our WAAP solution combines these features to provide comprehensive protection. By leveraging cutting-edge AI and machine learning, Gcore WAAP detects and mitigates threats in real time, keeping web applications and APIs secure even from zero-day attacks.More prevention techniquesBeyond WAAP, layering protection techniques can further enhance your business’ ability to ward off zero-day attacks. Consider the following measures:Implement a robust patch management system so that known vulnerabilities are addressed promptly.Conduct regular security assessments and penetration testing to help identify potential weaknesses before attackers can exploit them.Educate employees about phishing and other social engineering tactics to decease the likelihood of successful attacks.Protect your business against zero-day attacks with GcoreZero-day attacks pose a significant threat to businesses, with financial, reputational, and regulatory consequences. The rise of AI-powered cyberattacks and expanding digital attack surfaces make these threats even more pressing. Organizations must adopt proactive security measures, including AI-driven defense mechanisms like WAAP, to protect their critical applications and data. By leveraging behavioral analytics, automated patching, and advanced threat intelligence, businesses can minimize their risk and stay ahead of attackers.Gcore’s AI-powered WAAP provides the robust protection your business needs to defend against zero-day attacks. With real-time threat detection, virtual patching, and API security, Gcore WAAP ensures that your web applications remain protected against even the most advanced cyber threats, including zero-day threats. Don’t wait until it’s too late—secure your business today with Gcore’s cutting-edge security solutions.Discover how WAAP can help stop zero-day attacks
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