What's cyber security?

Computer security, cybersecurity or information technology security (IT security) is the security of computer systems in the theft of or damage to their own hardware, applications, or digital information, in addition to in the disruption or misdirection of their solutions they supply. The area is becoming more important because of greater reliance on computer technologies, the web and wireless system standards like Bluetooth and Wi-Fi, and as a result of development of "smart" devices, such as televisions, smartphones, and the numerous devices which constitute the"Internet of things". Due to its complexity, both regarding science and politics, cybersecurity can also be one of the significant challenges in the modern world.

What's cyber security?

Organizations face many threats to their data systems and information. Knowing all of the fundamental elements to cyber safety is the first step to fulfilling these threats.

Types of cyber security.

The reach of cyber protection is broad. The core regions are explained below, and some other fantastic cyber security plan must take all of them into consideration.

Critical infrastructure includes the cyber-physical systems which society is based on, for example, electricity grid, water purification, traffic lighting and hospitals. Plugging a power plant to the world wide web, as an instance, makes it vulnerable to cyber attacks. The solution for associations accountable for critical infrastructure would be to carry out due diligence to safeguard recognize the vulnerabilities and protect from them. Everyone else must evaluate the way an attack on critical infrastructure that they rely on could impact them and develop a contingency plan.
Critical infrastructure.
Critical infrastructure includes the cyber-physical systems which society is based on, for example, electricity grid, water purification, traffic lighting and hospitals. Plugging a power plant to the world wide web, as an instance, makes it vulnerable to cyber attacks. The solution for associations accountable for critical infrastructure would be to carry out due diligence to safeguard recognize the vulnerabilities and protect from them. Everyone else must evaluate the way an attack on critical infrastructure that they rely on could impact them and develop a contingency plan.
Network security guards against malicious intrusion in addition to malicious insiders. Ensuring network security frequently requires trade-offs. By way of instance, access controls like additional logins may be required, but slow down productivity. Tools used to track network safety create a great deal of information -- so much that legitimate alarms are often overlooked. To help better handle network security monitoring, safety teams are using machine learning how to flag abnormal traffic and alert to risks in real time.
Network security.
Network security guards against malicious intrusion in addition to malicious insiders. Ensuring network security frequently requires trade-offs. By way of instance, access controls like additional logins may be required, but slow down productivity. Tools used to track network safety create a great deal of information -- so much that legitimate alarms are often overlooked. To help better handle network security monitoring, safety teams are using machine learning how to flag abnormal traffic and alert to risks in real time.
The business's move to the cloud generates new safety challenges. By way of instance, 2017 has seen nearly weekly information breaches from badly configured cloud cases. Cloud suppliers are creating new safety tools to help business users secure their information, however, the bottom line remains: Moving into the cloud isn't a panacea for performing due diligence in regards to cyber security.
Cloud security.
The business's move to the cloud generates new safety challenges. By way of instance, 2017 has seen nearly weekly information breaches from badly configured cloud cases. Cloud suppliers are creating new safety tools to help business users secure their information, however, the bottom line remains: Moving into the cloud isn't a panacea for performing due diligence in regards to cyber security.
Application security (AppSec), especially web application security, has become the weakest technical point of attack, but few organizations adequately mitigate all the OWASP Top Ten web vulnerabilities. AppSec begins with secure coding practices, and should be augmented by fuzzing and penetration testing. Rapid application development and deployment to the cloud has seen the advent of DevOps as a new discipline. DevOps teams typically prioritize business needs over security, a focus that will likely change given the proliferation of threats.
Application security.
Application security (AppSec), especially web application security, has become the weakest technical point of attack, but few organizations adequately mitigate all the OWASP Top Ten web vulnerabilities. AppSec begins with secure coding practices, and should be augmented by fuzzing and penetration testing. Rapid application development and deployment to the cloud has seen the advent of DevOps as a new discipline. DevOps teams typically prioritize business needs over security, a focus that will likely change given the proliferation of threats.
IoT describes a huge array of crucial and non-critical cyber physiological systems, such as appliances, sensors, printers and safety cameras. IoT devices often ship in an insecure condition and give little to no security, posing risks to not just their customers, but also to other people online, since these devices frequently find themselves part of a botnet. This presents special security challenges for the home users and society.
Internet of things (IoT) security.
IoT describes a huge array of crucial and non-critical cyber physiological systems, such as appliances, sensors, printers and safety cameras. IoT devices often ship in an insecure condition and give little to no security, posing risks to not just their customers, but also to other people online, since these devices frequently find themselves part of a botnet. This presents special security challenges for the home users and society.

RUM vs. APM – How They Work and Where’s the Difference

Real user monitoring (RUM) and application performance monitoring (APM) are two different but related methods of IT monitoring that share a goal: improved application performance. In this guide, we’ll break down the differences between RUM and APM, how each of them work, and their typical purposes. I’ll also explain how RUM and APM can complement ... Read moreRUM vs. APM – How They Work and Where’s the Difference

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Real user monitoring (RUM) and application performance monitoring (APM) are two different but related methods of IT monitoring that share a goal: improved application performance. In this guide, we’ll break down the differences between RUM and APM, how each of them work, and their typical purposes. I’ll also explain how RUM and APM can complement ... Read moreRUM vs. APM – How They Work and Where’s the Difference

The post RUM vs. APM – How They Work and Where’s the Difference appeared first on DNSstuff.

Real user monitoring (RUM) and application performance monitoring (APM) are two different but related methods of IT monitoring that share a goal: improved application performance. In this guide, we’ll break down the differences between RUM and APM, how each of them work, and their typical purposes. I’ll also explain how RUM and APM can complement each other, and how you can leverage a combination of the two to meet your needs.

What is Real User Monitoring (RUM)?

Real user monitoring, otherwise known as RUM, utilizes data related to the end user’s experience to help developers track and improve an application’s performance. RUM is also known as real user measurement, end-user experience monitoring, and real user metrics. As its name suggests, it focuses on measuring the experience of the “real users.” It does this by tracking and reporting on several metrics, including:

• Time-to-first-byte
• Full page load time
• Load time of specific elements
• DNS timing
• Transaction paths
• Apdex score

By monitoring these metrics, among others, RUM users can identify potential issues with their application performance. For example, an issue could manifest as a lag in load time. With RUM, real user data can be tracked across browser versions, operating systems, and end-user configurations, offering a developer comprehensive insight into how a user’s experience might be negatively impacted by back-end issues. This is, of course, a crucial part of software development, because customer satisfaction can make or break an application.

As an example of how RUM might be used in practice, a developer could use it to pinpoint whether an increase in traffic within an application has resulted in a greater number of timeouts. Catching such an issue early could have a direct impact on preventing a decline in customer satisfaction, by allowing the developer to devise a solution quickly..

RUM is sometimes confused with synthetic monitoring, so it’s important to understand the differences between these two processes. Synthetic monitoring doesn’t use data affiliated with the experience of actual users, but instead creates synthetic transactions to simulate a real user action, allowing developers to view availability and response time without the risk to a real user’s satisfaction.

What is Application Performance Monitoring (APM)?

Application performance monitoring, or APM, offers a broader approach to application optimization. Essentially, APM consists of measuring application transactions and processes. With a range of stats on response time, availability, and more, admins can analyze and troubleshoot how an application is performing. Some common metrics for APM include the following:

• Error rates
• Application instances
• Application and server CPU usage
• Request rates
• Availability

Successful APM is meant to boost application availability, improve efficiency, optimize performance, reduce downtime, and minimize latency. As such, application monitoring is a key part of any developer’s toolkit. Tracking metrics assists in identifying bottlenecks and helps developers ensure an application will scale to meet user demand. RUM is just one aspect of APM, but there are many other tasks involved, including infrastructure planning, which could involve increasing server disk space when appropriate, and application development, which might require you to rewrite or debug code.

RUM vs. APM

APM is an umbrella term that actually includes RUM as one of its strategies. RUM contributes to successful APM by analyzing how the end user’s experience might inform application optimization strategies. RUM and APM are best considered together, with each contributing to improving overall application performance. That being said, it’s worth looking at the differences between what each specific method can do for you.

Without additional APM strategies, RUM is limited. It can’t optimize the performance of an application at scale, for instance, because it isn’t preemptive. RUM data reflects the number of current application users, but it can’t reliably inform what might happen if those numbers spike dramatically. In this case, optimizing for scale is better serviced by synthetic testing, a more predictive strategy that lets developers conduct tests on a hypothetical basis, allowing them to forecast how their application’s performance would fare against a sudden spike in user numbers.

On the other hand, RUM still provides critical real-world measurements. It can help developers identify whether certain user engagements or activities are triggering a lag in performance, something synthetic testing can’t do. In short, synthesizing actual human behavior is tricky, so RUM remains an essential process.

It’s also worth noting RUM doesn’t purely serve as part of the APM strategy. Real user monitoring tools have something else to offer, by being able to track user journeys. This means RUM data can answer several extremely important questions, like:

• What do users typically click on first when they open the application?
• How long do users spend engaging with each of the features?
• What features are users typically engaging with immediately prior to closing the application?

The answers to these questions don’t pertain to application performance, but to customer satisfaction. They can impact marketing strategies and the development of new application features, helping developers identify what’s working for users and what isn’t. In this sense, RUM data is highly valuable to developers.

Getting Started With APM: AppOptics

If you’re looking to get started with measuring application performance, SolarWinds® AppOptics™ is a cloud-based APM tool designed for comprehensive app insights. This monitoring tool supports advanced custom metrics, meaning you can track the data you feel is most relevant to your application and its users. The tool features over 150 built-in integrations and plugins and is compatible with multiple programming languages.

The ability to combine metrics on the unified AppOptics dashboard is especially useful for APM because it can provide a more holistic understanding. AppOptics also keeps you in the loop with its intelligent alert system, allowing you to define actionable notifications and forward them automatically to several platforms, including Slack, email, and Flowdock. These are just a few of the many AppOptics features that can boost your APM strategy.

Implement RUM: Pingdom

SolarWinds Pingdom® offers a comprehensive view of real user experience, providing at-a-glance displays of key usability metrics. The detailed metric visualizations offered by Pingdom afford developers visibility into how changes in performance impact visitor experience and engagement. For instance, it can correlate visitor data with browsers used, country, and platform. With Pingdom, you get tools that provide insight into the following, and more:

• Website speed, load speed, and performance
• Real user and synthetic transactions
• Server uptime and website downtime

What’s more, this tool’s monitoring solution is scalable, offering the ability to analyze performance in real-time for a single application or for thousands. If you’re looking for a complete monitoring solution, consider that AppOptics and Pingdom are both developed by SolarWinds and are designed to complement each other seamlessly.

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