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  3. What Does Blacklisted IP Mean? | Procedure to Remove IP From Blacklist

What Does Blacklisted IP Mean? | Procedure to Remove IP From Blacklist

  • By Gcore
  • June 6, 2023
  • 8 min read
What Does Blacklisted IP Mean? | Procedure to Remove IP From Blacklist

Have you recently noticed a sudden drop in website traffic or email deliverability? One possible reason is that your email IP or domain has been added to a blacklist. But you aren’t a hacker or scammer! So what does blacklisted mean in your case? Why has it happened to you, and what can you do to reverse it?

Blacklists are created as a cybersecurity tool to protect end users from ransomware attacks. According to Statista, the most common cause of ransomware infections is spam/phishing emails. This means that your emails have been flagged as a possible origin of spam or phishing. Unfortunately, blacklists don’t always get it right, and sometimes they flag incorrectly.

Being added to a blacklist doesn’t necessarily require engaging in unacceptable or unethical behavior. Your mail server IP or domain can be blacklisted because someone used your credentials for online fraud or spam. Alternatively, you may have unknowingly behaved in a way that systems mark as suspicious. This can happen to anyone running email campaigns for innocent reasons like overusing spam words or forgetting to update their email authentication (DMARC, SPF, and DKIM).

But don’t worry; you can recover your IP and domain. In this article, we will explain the causes of blacklisting in depth, share how to recover from blacklisting, and help you prevent being blacklisted in the future.

What Does Blacklisted Mean?

Blacklisted IP or domain means your mail server IP or domain is associated with suspicious activity on the web. When you get blacklisted, your website traffic may suddenly drop to zero and your prospects or customers may stop receiving your emails. This obviously has major business repercussions, and is a huge headache.

Your mail server and website are interconnected when it comes to blacklisting. If one gets blacklisted, the other might too. Similarly, if a single mail sender associated with your IP is blacklisted, all other mail servers associated with your domain may also be impacted.

How Does an IP or Domain Get Blacklisted?

Blacklists come in two types: public and private.

Public blacklists are usually non-commercial, nonprofit projects that provide databases of suspicious IPs or domains to corporations and security vendors. Examples of well-known public blacklists include Spamhaus, Barracuda, Project Honey Pot, and Spamcop. These are the most common types of blacklists.

Private blacklists are generated by a single organization. That organization limits access to its services and recipients. For example, Microsoft and your ISP both maintain blacklists.

As blacklist operators are most often public entities run by nonprofit organizations, it’s possible for volunteer investigators, subscribers, or email providers to report you. A spam trap is another way that senders with poor email hygiene may inadvertently become blacklisted.

How a spam trap works

Once blacklisted, all organizations that use this list will reject your emails. Here’s how it works:

How organizations source blacklist information

Check If You are Blacklisted

Problems with website traffic and email deliverability can arise for many reasons, not only because you are on a blacklist. So first of all, you need to check if you have actually been blacklisted, or if something else is causing your problem.

We at Gcore offer step-by-step instructions on how to check if your email server IP has been blacklisted against 100 public blacklists. If you don’t know your mail server IP, find that out first.

Common Blacklisting Reasons

Each blacklist operator has its own criteria for listing IPs and domains. Usually, they don’t openly publish them in detail, but there are some reasons that many of them employ in their process. Let’s take a look.

Misconfigured Email Server

SPF, DKIM, and DMARC are authentication protocols you should set up to appear credible for recipient email providers and protect yourself from spoofing. Spoofing is when someone illegitimately sends emails on your behalf (e.g., from your mail server IP) to look credible to email vendors, and then sends spam or other fraudulent content.

If you forgot to set up or update SPF, DKIM, and DMARC records when moving to a new email vendor, you are at risk of getting blacklisted.

Website Security Issues

Blacklist operators monitor the internet and list IPs that host malware-infected websites, participate in ransomware, or contain malicious content such as phishing scams. If your website is vulnerable to hackers and fraudsters, your domain may be flagged by blacklist operators. For example, if you don’t have security software to mitigate attacks, haven’t set up two-factor authentication, or haven’t installed SSL certificates, you’re putting yourself at risk.

Using a Shared IP for Your Domain and Email Server

Two kinds of IPs exist: shared and dedicated. Shared IP addresses are used by multiple users or websites simultaneously, while dedicated IPs are assigned exclusively to a single user or website. Shared IPs are typically free, or far cheaper than dedicated IPs.

While it does not always make financial sense to buy dedicated IP, a shared one puts you at risk of blacklisting. When one of the domains from the network is identified as a spammer, you suffer too.

Spam-Like Emailing Behavior

When running a mass email campaign, you should be careful about how and what you send. Sending legitimate and relevant emails can lead to blacklisting if they meet certain criteria. Here some activities that are considered suspicious and may lead to blacklisting:

  • A spike in the number of emails sent. If you suddenly extend your email list, the legality of their source is questionable. This is similar to payment systems—a sudden, unprecedented, large financial transfer is always going to arouse suspicion.
  • Going over sending limits. Large volumes of emails sent indicate that you may send many unwanted or phishing emails. Many email vendors set a daily limit on emails sent, and exceeding that number can result in blacklisting.
  • You have non-existent emails on your list. In this case, email providers also suspect you get the email addresses via “grey” means—such as purchasing email lists—and don’t care if recipients are interested in your message or will all actually receive it. If you try sending to invalid emails twice, your mail server IP may be blacklisted.
  • Blacklisted websites in your email body. For mailboxes and blacklist operators, this indicates that you have a connection to the suspicious website.

How to Get Your IP Address Off a Blacklist

Step 1. Understand the Reason You Were Blacklisted

Some blacklist operators require evidence that you have fixed the issue that caused blacklisting before they will take you off their list. If you have been blacklisted on multiple lists, this can damage your mail server IP and domain reputation, and the consequences of each subsequent ban can be more severe. You might face a long delisting procedure (3-4 months) or be blocked permanently.

To understand why you were blacklisted, check your mail server IP and domain against several blacklist testers. We suggest starting with MXToolbox, BlacklistAlert, Mail Genius, Mail Tester and IP tracker tool.

MXToolbox “Detail” button gives information on the reasons for blacklisting
Blacklist Alert lists all results for an IP or domain and gives their status, with a “See why” link to discover the reasons for blacklisting

The services will identify which blacklists you are listed in and, in some cases, give the most likely reason. Next, visit the aforementioned mentioned blacklists and look up your IP on their website too. Using several tools allows you to get the most accurate information.

Step 2. Fix the Blacklisting Problem

Once you’ve identified potential blacklisting reason(s), try to resolve them with your IT team or hire external experts to remedy the cause(s). There are additional steps you can take to reverse the blacklisting.

  • Check if the blacklist operator(s) offer(s) any recommendations to resolve the issue.
  • Review whether all senders that email from your domain follow emailing best practices and avoid spamming behaviors.
  • See if there were attempts or incidents of hijacking your domain or spoofing your IP. (If you host your domain on Gcore, you are protected against such incidents by default. Even with a free plan, you’ll receive minimum protection.)
  • If you are using a shared IP, contact the support team of your email vendor or hosting provider. Ask them if there are spamming issues with one of the IPs on the network and find out how they can help you with recovery.

Step 3. Request Delisting

Now that you’ve resolved the blacklisting causes and taken internal steps to improve your reputation, you are ready to request delisting from the relevant blacklisting agency.

The procedure for requesting and waiting for delisting depends on whether the blacklist in question is a self-service or automated blacklist.

  • Self-service blacklists, e.g. Spamhaus. Go to their website and request delisting manually. Fill out the form to request the removal of your IP or domain—keep in mind to remain polite and provide a detailed explanation of what has happened, what you already did to resolve the problem, and what you are planning to do in order to prevent such cases in the future.
  • Automated blacklists, e.g. Uceprotectl1. Follow the same procedure as above, and then wait for 1-2 weeks before they update their system and remove you from the list.

It’s important to know that trusted blacklists won’t ask you to pay for delisting, so beware of scams.

How Long Does It Take to Be Removed from a Blacklist?

Once you’ve requested delisting, it generally takes 1-2 weeks for the request to be actioned if the blacklist has an automatic delisting procedure. Blacklists with self-service removal may be quicker—several hours to days. In some extreme cases—like if you were previously blacklisted, were blacklisted for a severe issue, or have a poor IP or domain reputation—delisting may take up to 3-4 months.

How Can I Prevent My Website from Being Blacklisted?

As you can see, dealing with blacklists is a real headache. It is easier to prevent blacklisting issues upfront rather than experience downtime or even lose clients.

Some effective ways to avoid getting blacklisted include protecting your domain from DNS hijacking, regularly checking your IP and domain registration, having a dedicated IP address for email and domain, and following mass email best practices. Let’s check out each of these in depth.

Protect Your Domain from DNS Hijacking

Your domain might be blacklisted because your website was hacked—for example, through DNS hijacking—and is involved in malicious activities. This is a common problem; in 2022, 28% of 1000 surveyed organizations of different sizes experienced one or more DNS hijacking attacks. Robust security is important for avoiding blacklisting, but also for your reputation and downtime statistics.

Here’s how to get started:

  1. Use server protection software. In the event of an attack, a system blocks the IP address of the server so an attacker cannot continue with the invasion. Gcore offers free protection and enhanced paid options for its servers.
  2. Ensure you have strong passwords to access your DNS account.
  3. Implement two-factor authentication to access your website.
  4. Install SSL certificates so that data transmitted between the user’s browser and your website is encrypted, keeping sensitive information secure.
  5. Keep your CMS, plugins, and other web software updated.
  6. Regularly back up your website’s data in case of a security breach or data loss.

Regularly Check Your IP and Domain Reputation

Monitoring your blacklist situation is a key tactic because it allows you to take immediate action to get unlisted. Fortunately, there are tools that offer blacklist monitoring and instant alerts, including MXToolbox, Barracuda Networks, and Mailgun.

Have a Dedicated IP Address for Email and Domain

A thorough assessment of your specific needs and circumstances is essential before you make the final decision whether to use a dedicated or shared email or domain server. However, some general guidelines can help you make an initial assessment.

For an Email Server

With shared mail server IPs, you are at risk of having reputational and deliverability issues because of other senders. However, a dedicated server is more expensive than a shared option. We recommend going with dedicated mail server IP in the following cases:

  • You send a high volume of emails (say, over 10,000 per day.)
  • You have the human resources to manage your dedicated IP.
  • You can afford a dedicated IP. The price ranges from $2-200 per month.

For a Domain

If one of the domains on shared hosting is compromised, the performance and reputation of others will be damaged too. Some hosting providers (including Gcore) offer protection for shared IPs. If one of the domains experiences attacks, the IP is blocked and hackers can’t damage the reputation of any other domain that uses this IP.

Choose dedicated hosting if:

  • You have the resources to manage your dedicated IP.
  • Your website receives high traffic volumes of up to 100,000 visitors.
  • You manage resource-intensive applications such as databases, video streaming, and gaming platforms.
  • Your website deals with sensitive information and you need the highest level of security.

Follow Mass Email Best Practices

While mass email blacklisting can happen even to the most careful individual in unfortunate and unusual circumstances, some actions that trigger blacklisting are completely avoidable. When it comes to mass emails, blacklisting often happens to individuals who are new to mass emailing or fail to follow best practices. Here’s a checklist to get up to speed before your next campaign:

  • Set up or recheck your email authentication (DMARC, DKIM, and SPF) in your DNS account
  • Use double opt in when collecting emails to verify them and filter interested users
  • Regularly update your email list: watch for hard bounces, remove non-existent emails, and choose email providers that automatically stop sending to hard-bounced email addresses
  • Increase your email list gradually
  • Offer an unsubscribe option, so recipients are unlikely to flag your emails as spam if they no longer want to receive from you
  • Avoid spam-triggering words in your email body
  • Don’t overuse links
  • Avoid blacklisted websites and link shorteners in your email body
  • Segment your email list to send more relevant emails and avoid spam complaints
  • Choose trusted email providers

Conclusion

IP or domain blacklisting is a common problem when actively running mass email campaigns. You don’t need to be a spammer to end up on blacklists. Instead, you might unknowingly have spam-like behaviors or have poor website security.

Usually, you will be able to recover your mail server IP or domain within a week or two by following the simple delisting steps in this article. It’s then important to follow web security and email best practices to avoid future blacklisting occurrences.

If you need better security for your website and apps, check out our recent security blog posts:

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While frontend frameworks like React, Vue, and Angular.js are popular for accelerating development, they often include extensive JavaScript and prebuilt components that can bloat your website’s codebase. To optimize for speed, carefully analyze your use case to determine if a framework is necessary. If a static page suffices, avoid using a framework altogether. If a framework is needed, select libraries that allow you to link only the required components.3. Unoptimized Code Files and FontsEven high-quality code needs optimization before shipping. Unoptimized JavaScript, HTML, and CSS files can increase page weight and necessitate multiple HTTP requests, especially if JavaScript files are executed individually.To optimize code, two effective techniques are minification and bundling.Minification removes redundant libraries, code, comments, unnecessary characters (e.g., commas and dots), and formatting to reduce your source code’s size. It also shortens variable and function names, further decreasing file size. Tools for minification include UglifyJS for JavaScript, CSSNano for CSS, and HTMLminifier for HTML.Bundling groups multiple files into one, reducing the number of HTTP requests and speeding up site load times. Popular bundling tools include Rollup, Webpack, and Parcel.File compression using GZIP or Brotli can also reduce the weight of HTTP requests and responses before they reach users’ browsers. Enable your chosen compression technique on your server only after checking that your server provider supports it.4. Unoptimized Images and VideosSome websites are slowed down by large media files. Upload only essential media files to your site. For images, compress or resize them using tools like TinyPNG and Compressor.io. Convert images from JPEG, PNG, and GIF to WebP and AVIF formats to maintain quality while reducing file size. This is especially beneficial in industries like e-commerce and travel, where multiple images boost conversion rates. Use dynamic image optimization services like Gcore Image Stack for efficient processing and delivery. For pages with multiple images, use CSS sprites to group them, reducing the number of HTTP requests and speeding up load times.When adding video files, use lite embeds for external links. Standard embed code, like YouTube’s, is heavy and can slow down your pages. Lite embeds load only thumbnail images initially, and the full video loads when users click the thumbnail, improving page speed.5. No Lazy LoadingLazy loading delays the rendering of heavy content like images and JavaScript files until the user needs it, contrasting with “eager” loading, which loads everything at once and slows down site load times. Even with optimized images and code, lazy loading can further enhance site speed through a process called “timing.”Image timing uses the HTML loading attribute in an image tag or frameworks like Angular or React to load images in response to user actions. The browser only requests images when the user interacts with specific features, triggering the download.JavaScript timing controls when certain code loads. If JavaScript doesn’t need to run until the entire page has rendered, use the defer attribute to delay its execution. If JavaScript can load at any time without affecting functionality, load it asynchronously with the async attribute.6. Heavy or Redundant External Widgets and PluginsWidgets and plugins are placed in designated frontend and backend locations to extend website functionality. Examples include Google review widgets that publish product reviews on your website and Facebook plugins that connect your website to your Facebook Page. As your website evolves, more plugins are typically installed, and sometimes website admins forget to remove those that are no longer required.Over time, heavy and unused plugins can consume substantial resources, slowing down your website unnecessarily. Widgets may also contain heavy HTML, CSS, or JavaScript files that hinder web performance.Remove unnecessary plugins and widgets, particularly those that make cURL calls, HTTP requests, or generate excessive database queries. Avoid plugins that load heavy scripts and styles or come from unreliable sources, as they may contain malicious code and degrade website performance.7. Network IssuesYour server’s physical location significantly impacts site speed for end users. For example, if your server is in the UK and your users are in China, they’ll experience high latency due to the distance and DNS resolution time. The greater the distance between the server and the user, the more network hops are required, increasing latency and slowing down site load times.DNS resolution plays a crucial role in this process. Your authoritative DNS provider resolves your domain name to your IP address. If the provider’s server is too far from the user, DNS resolution will be slow, giving visitors a poor first impression.To optimize content delivery and reduce latency, consider integrating a content delivery network (CDN) with your server-side code. A CDN stores copies of your static assets (e.g., container images, JavaScript, CSS, and HTML files) on geographically distributed servers. This distribution ensures that users can access your content from a server closer to their location, significantly improving site speed and performance.8. No CachingWithout caching, your website has to fetch data from the origin server every time a user requests. This increases the load time because the origin server is another physical hop that data has to travel.Caching helps solve this problem by serving pre-saved copies of your website. Copies of your web files are stored on distributed CDN servers, meaning they’re available physically closer to website viewers, resulting in quicker load times.An additional type of caching, DNS caching, temporarily stores DNS records in DNS resolvers. This allows for faster domain name resolution and accelerates the initial connection to a website.9. Excessive RedirectsWebsite redirects send users from one URL to another, often resulting in increased HTTP requests to servers. These additional requests can potentially crash servers or cause resource consumption issues. To prevent this, use tools like Screaming Frog to scan your website for redirects and reduce them to only those that are absolutely necessary. Additionally, limit each redirect to making no more than one request for a .css file and one for a .js file.10. Lack of Mobile OptimizationForgetting to optimize for mobile can harm your website’s performance. Mobile-first websites optimize for speed and UX. Better UX leads to happier customers and increased sales.Optimizing for mobile starts with understanding the CPU, bandwidth, and memory limitations of mobile devices compared to desktops. Sites with excessively heavy files will load slowly on mobiles. Writing mobile-first code, using mobile devices or emulators for building and testing, and enhancing UX for various mobile device types—such as those with larger screens or higher capacity—can go a long way to optimizing for mobile.How Can Gcore Help Prevent These Web Performance Mistakes?If you’re unsure where to start in correcting or preventing web performance mistakes, don’t worry—you don’t have to do it alone. Gcore offers a comprehensive suite of solutions designed to enhance your web performance and deliver the best user experience for your visitors:Powerful VMs: Fast web hosting with a wide range of virtual machines.Managed DNS: Hosting your DNS zones and ensuring quick DNS resolution with our fast Managed DNS.CDN: Accelerate both static and dynamic components of your website for global audiences.With robust infrastructure from Gcore, you can ensure optimal performance and a seamless experience for all your web visitors. Keep your website infrastructure in one place for a simplified website management experience.Need help getting started? Contact us for a personalized consultation and discover how Gcore can supercharge your website performance.Get in touch to boost your website

How to Choose Between Bare Metal GPUs and Virtual GPUs for AI Workloads

Choosing the right GPU type for your AI project can make a huge difference in cost and business outcomes. The first consideration is often whether you need a bare metal or virtual GPU. With a bare metal GPU, you get a physical server with an entire GPU chip (or chips) installed that is completely dedicated to the workloads you run on the server, whereas a virtual GPU means you share GPU resources with other virtual machines.Read on to discover the key differences between bare metal GPUs and virtual GPUs, including performance and scalability, to help you make an informed decision.The Difference Between Bare Metal and Virtual GPUsThe main difference between bare metal GPUs and virtual GPUs is how they use physical GPU resources. With a bare metal GPU, you get a physical server with an entire GPU chip (or chips) installed that is completely dedicated to the workloads you run on the server. There is no hypervisor layer between the operating system (OS) and the hardware, so applications use the GPU resources directly.With a virtual GPU, you get a virtual machine (VM) and uses one of two types of GPU virtualization, depending on your or a cloud provider’s capabilities:An entire, dedicated GPU used by a VM, also known as a passthrough GPUA shared GPU used by multiple VMs, also known as a vGPUAlthough a passthrough GPU VM gets the entire GPU, applications access it through the layers of a guest OS and hypervisor. Also, unlike a bare metal GPU instance, other critical VM resources that applications use, such as RAM, storage, and networking, are also virtualized.The difference between running applications with bare metal and virtual GPUsThese architectural features affect the following key aspects:Performance and latency: Applications running on a VM with a virtual GPU, especially vGPU, will have lower processing power and higher latency for the same GPU characteristics than those running on bare metal with a physical GPU.Cost: As a result of the above, bare metal GPUs are more expensive than virtual GPUs.Scalability: Virtual GPUs are easier to scale than bare metal GPUs because scaling the latter requires a new physical server. In contrast, a new GPU instance can be provisioned in the cloud in minutes or even seconds.Control over GPU hardware: This can be critical for certain configurations and optimizations. For example, when training massive deep learning models with a billion parameters, total control means the ability to optimize performance optimization—and that can have a big impact on training efficiency for massive datasets.Resource utilization: GPU virtualization can lead to underutilization if the tasks being performed don’t need the full power of the GPU, resulting in wasted resources.Below is a table summarizing the benefits and drawbacks of each approach: Bare metal GPUVirtual GPUPassthrough GPUvGPUBenefitsDedicated GPU resourcesHigh performance for demanding AI workloadsLower costSimple scalabilitySuitable for occasional or variable workloadsLowest costSimple scalabilitySuitable for occasional or variable workloadsDrawbacksHigh cost compared to virtual GPUsLess flexible and scalable than virtual GPUsLow performanceNot suitable for demanding AI workloadsLowest performanceNot suitable for demanding AI workloadsShould You Use Bare Metal or Virtual GPUs?Bare metal GPUs and virtual GPUs are typically used for different types of workloads. Your choice will depend on what AI tasks you’re looking to perform.Bare metal GPUs are better suited for compute-intensive AI workloads that require maximum performance and speed, such as training large language models. They are also a good choice for workloads that must run 24/7 without interruption, such as some production AI inference services. Finally, bare metal GPUs are preferred for real-time AI tasks, such as robotic surgery or high-frequency trading analytics.Virtual GPUs are a more suitable choice for the early stages of AI/ML and iteration on AI models, where flexibility and cost-effectiveness are more important than top performance. Workloads with variable or unpredictable resource requirements can also run on this type of GPU, such as training and fine-tuning small models or AI inference tasks that are not sensitive to latency and performance. Virtual GPUs are also great for occasional, short-term, and collaborative AI/ML projects that don’t require dedicated hardware—for example, an academic collaboration that includes multiple institutions.To choose the right type of GPU, consider these three factors:Performance requirements. Is the raw GPU speed critical for your AI workloads? If so, bare metal GPUs are a superior choice.Scalability and flexibility. Do you need GPUs that can easily scale up and down to handle dynamic workloads? If yes, opt for virtual GPUs.Budget. Depending on the cloud provider, bare metal GPU servers can be more expensive than virtual GPU instances. Virtual GPUs typically offer more flexible pricing, which may be appropriate for occasional or variable workloads.Your final choice between bare metal GPUs and virtual GPUs depends on the specific requirements of the AI/ML project, including performance needs, scalability requirements, workload types, and budget constraints. Evaluating these factors can help determine the most appropriate GPU option.Choose Gcore for Best-in-Class AI GPUsGcore offers bare metal servers with NVIDIA H100, A100, and L40S GPUs. Using the 3.2 Tbps InfiniBand interface, you can combine H100 or A100 servers into scalable GPU clusters for training and tuning massive ML models or for high-performance computing (HPC).If you are looking for a scalable and low-latency solution for global AI inference, explore Gcore Inference at the Edge. It especially benefits latency-sensitive, real-time applications, such as generative AI and object recognition.Discover Gcore bare metal GPUs

How to Configure Grafana for Visualizing Kubernetes (K8s) Cluster Monitoring

Kubernetes monitoring allows you to observe your workloads and cluster resources, spot issues and failures, and efficiently manage pods and other resources. Cluster admins should prioritize tracking the performance and stability of clusters in these environments. One popular tool that can help you visualize Kubernetes monitoring is Grafana. This monitoring solution lets you display K8s metrics through interactive dashboards and real-time alerts. It seamlessly integrates with Prometheus and other data sources, providing valuable insights.Gcore Managed Kubernetes simplifies the Grafana setup process by providing a managed service that includes tools like Grafana. In this article, we’ll explain how to set up and configure Grafana to monitor Kubernetes, its key metrics, and dashboards.Setting Up Grafana for Effective Kubernetes MonitoringTo begin monitoring Kubernetes with Grafana, first, check that you have all the requirements in place: a functioning Kubernetes cluster, the Helm package manager installed, and kubectl set up to communicate with your cluster.Install Grafana in a Kubernetes Cluster. Start by adding the Grafana Helm repository.helm repo add grafana https://grafana.github.io/helm-chartshelm repo updateNext, install Grafana using Helm. This command deploys Grafana into your Kubernetes cluster:helm install grafana grafana/grafanaNow it’s time to configure Grafana for the Kubernetes environment. After installation, retrieve the admin password by using the command below:kubectl get secret --namespace default grafana -o jsonpath="{.data.admin-password}" | base64 --decode ; echoThen access the Grafana UI by port-forwarding:kubectl port-forward svc/grafana 3000:80Open your web browser and navigate to http://localhost:3000. Log in using the default username admin and the password you retrieved. Once logged in, you can configure Grafana to monitor your Kubernetes environment by adding data sources such as Prometheus and creating custom dashboards.You’ve now successfully set up Grafana for Kubernetes monitoring!Key Metrics for Kubernetes MonitoringUnderstanding metrics for Kubernetes monitoring allows you to visualize your cluster’s reliability. Key metrics are the following:Node resources. Track CPU and memory usage, disk utilization, and network bandwidth to understand resource consumption and identify bottlenecks.Cluster metrics. Monitor the number of nodes to understand resource billing and overall cluster usage, and track running pods to determine node capacity and identify failures.Pod metrics. Measure how pods are managed and deployed, including instances and deployment status, and monitor container metrics like CPU, memory, and network usage.State metrics. Keep an eye on persistent volumes, disk pressure, crash loops, and job success rates to ensure proper resource management and application stability.Container metrics. Track container CPU and memory usage relative to pod limits, and monitor network data to detect bandwidth issues.Application metrics. Measure application availability, performance, and business-specific metrics to maintain optimal user experience and operational health.Setting Up Grafana DashboardsYou can opt to design and tailor Grafana dashboards to monitor your Kubernetes cluster. This will help you better understand your systems’ performance and overall well-being at a glance.Log into Grafana. Open your web browser, go to http://localhost:3000/, and log in with the default credentials (admin for both username and password), then change your password if/when prompted.Grafana—Log In to Start MonitoringAdd data source. Navigate to Configuration and select Data Sources. Click on Add Data Source and choose the appropriate data source, such as Prometheus.Create a dashboard. Go to Create > Dashboard, click Add New Panel, choose the panel type (e.g., Time series chart, Gauge, Table), and configure it with a PromQL query and visualization settings.Adding a New Panel in Grafana DashboardOrganize and save the dashboard. Arrange panels by clicking Add Panel > Add Row and dragging panels into the desired rows. To save the dashboard, click the save icon, name it, and confirm the save.Gcore Managed Kubernetes for Kubernetes MonitoringWhether you’re getting started with monitoring Kubernetes or you’re a seasoned pro, Gcore Managed Kubernetes offers significant advantages for businesses seeking efficient and reliable Kubernetes cluster monitoring and container management:Ease of integrating Grafana: The service seamlessly integrates with Grafana, enabling effortless visualization and monitoring of performance metrics via dashboards.Automated control: Gcore Managed Kubernetes simplifies the setup and monitoring process by using automation. This service conducts health checks on your nodes, automatically updating and restarting them when needed to keep performance at its best.Enhanced security and reliability: Gcore Managed Kubernetes guarantees the management of nodes by integrating features like automatic scaling and self-repairing systems to maintain optimal performance.Discover Gcore Managed Kubernetes, including automated scaling, one-click provisioning, and Grafana integration.

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