APM tools
AppDynamics.
BMC TrueSight.
Cisco AppDynamics.
Datadog.
Dynatrace.
ManageEngine Applications Manager.
Microsoft Azure Application Insights.
New Relic.
SolarWinds Server & Application Monitor.
IT infrastructure tools
ManageEngine OpManager.
Microsoft System Center Operations Manager.
Nagios XI.
Sematext Monitoring.
SolarWinds Server & Application Monitor.
Zabbix.
Cloud monitoring tools
Amazon CloudWatch.
Microsoft Azure Monitor.
Cisco CloudCenter.
Oracle Application Performance Monitoring Cloud Service.
Veeam.
Containers/microservices/distributed app monitoring tools
Confluent Kafka.
Grafana.
Lightstep.
Prometheus.
Red Hat OpenShift Container Platform.
AIOps tools
BigPanda.
Datadog.
New Relic.
PagerDuty.
Splunk IT Service Intelligence.
Log monitoring tools
Elastic Stack.
Fluentd.
Logstash.
Splunk.
Sumo Logic.
Network security monitoring tools
Cisco DNA Analytics and Assurance.
LiveAction LiveNX.
LogRhythm.
PRTG Network Monitor.
SolarWinds Network Performance Monitor
AppDynamics.
BMC TrueSight.
Cisco AppDynamics.
Datadog.
Dynatrace.
ManageEngine Applications Manager.
Microsoft Azure Application Insights.
New Relic.
SolarWinds Server & Application Monitor.
IT infrastructure tools
ManageEngine OpManager.
Microsoft System Center Operations Manager.
Nagios XI.
Sematext Monitoring.
SolarWinds Server & Application Monitor.
Zabbix.
Cloud monitoring tools
Amazon CloudWatch.
Microsoft Azure Monitor.
Cisco CloudCenter.
Oracle Application Performance Monitoring Cloud Service.
Veeam.
Containers/microservices/distributed app monitoring tools
Confluent Kafka.
Grafana.
Lightstep.
Prometheus.
Red Hat OpenShift Container Platform.
AIOps tools
BigPanda.
Datadog.
New Relic.
PagerDuty.
Splunk IT Service Intelligence.
Log monitoring tools
Elastic Stack.
Fluentd.
Logstash.
Splunk.
Sumo Logic.
Network security monitoring tools
Cisco DNA Analytics and Assurance.
LiveAction LiveNX.
LogRhythm.
PRTG Network Monitor.
SolarWinds Network Performance Monitor
OWASP_SCP_Quick_Reference_Guide_v21.pdf
271.8 KB
چک لیست کنترل امنیت نرمافزار owasp
Guidelines for Developing an Agile and Robust IT Infrastructure Management:
1) Use a Combination of Cloud and On-Premises Systems
Using cloud infrastructure management and on-premises systems provides flexibility to leverage their strengths. Cloud infrastructure management can scale and adapt easily, while on-premises systems offer enhanced security and low-latency capabilities.
2) Use Microservices Instead of Monolithic Architecture
Microservices are a more agile and scalable architecture than monolithic applications. This is because microservices can be updated and scaled independently, making changing your IT infrastructure management services easier.
3) Keep Data Backups
This is essential for businesses, as data loss can be a major setback. Backups should be stored off-site securely to ensure they are available during a disaster.
4) Ensure Interoperability Between Systems
This will allow you to share data quickly and easily between different systems. This can achieve through the use of standards-based APIs or by using a middleware solution.
5) Implement Security at All Levels
This is essential for businesses, as security is a major concern regarding IT infrastructure management services. Security should be implemented at all levels of your IT infrastructure, from the network to the application level.
Following these tips, you can build agile and robust IT infrastructure management services to help your business succeed.
1) Use a Combination of Cloud and On-Premises Systems
Using cloud infrastructure management and on-premises systems provides flexibility to leverage their strengths. Cloud infrastructure management can scale and adapt easily, while on-premises systems offer enhanced security and low-latency capabilities.
2) Use Microservices Instead of Monolithic Architecture
Microservices are a more agile and scalable architecture than monolithic applications. This is because microservices can be updated and scaled independently, making changing your IT infrastructure management services easier.
3) Keep Data Backups
This is essential for businesses, as data loss can be a major setback. Backups should be stored off-site securely to ensure they are available during a disaster.
4) Ensure Interoperability Between Systems
This will allow you to share data quickly and easily between different systems. This can achieve through the use of standards-based APIs or by using a middleware solution.
5) Implement Security at All Levels
This is essential for businesses, as security is a major concern regarding IT infrastructure management services. Security should be implemented at all levels of your IT infrastructure, from the network to the application level.
Following these tips, you can build agile and robust IT infrastructure management services to help your business succeed.
Advantages of SaaS
Cost-Effective: Pay only for what you use.
Reduced time: Users can run most SaaS apps directly from their web browser without needing to download and install any software. This reduces the time spent in installation and configuration and can reduce the issues that can get in the way of the software deployment.
Accessibility: We can Access app data from anywhere.
Automatic updates: Rather than purchasing new software, customers rely on a SaaS provider to automatically perform the updates.
Scalability: It allows the users to access the services and features on-demand.
Cost-Effective: Pay only for what you use.
Reduced time: Users can run most SaaS apps directly from their web browser without needing to download and install any software. This reduces the time spent in installation and configuration and can reduce the issues that can get in the way of the software deployment.
Accessibility: We can Access app data from anywhere.
Automatic updates: Rather than purchasing new software, customers rely on a SaaS provider to automatically perform the updates.
Scalability: It allows the users to access the services and features on-demand.
Disadvantages of Saas :
Limited customization: SaaS solutions are typically not as customizable as on-premises software, meaning that users may have to work within the constraints of the SaaS provider’s platform and may not be able to tailor the software to their specific needs.
Dependence on internet connectivity: SaaS solutions are typically cloud-based, which means that they require a stable internet connection to function properly. This can be problematic for users in areas with poor connectivity or for those who need to access the software in offline environments.
Security concerns: SaaS providers are responsible for maintaining the security of the data stored on their servers, but there is still a risk of data breaches or other security incidents.
Limited control over data: SaaS providers may have access to a user’s data, which can be a concern for organizations that need to maintain strict control over their data for regulatory or other reasons.
Limited customization: SaaS solutions are typically not as customizable as on-premises software, meaning that users may have to work within the constraints of the SaaS provider’s platform and may not be able to tailor the software to their specific needs.
Dependence on internet connectivity: SaaS solutions are typically cloud-based, which means that they require a stable internet connection to function properly. This can be problematic for users in areas with poor connectivity or for those who need to access the software in offline environments.
Security concerns: SaaS providers are responsible for maintaining the security of the data stored on their servers, but there is still a risk of data breaches or other security incidents.
Limited control over data: SaaS providers may have access to a user’s data, which can be a concern for organizations that need to maintain strict control over their data for regulatory or other reasons.
What is a data lake?
A data lake is a centralized repository that allows you to store all your structured and unstructured data at any scale. You can store your data as-is, without having to first structure the data, and run different types of analytics—from dashboards and visualizations to big data processing, real-time analytics, and machine learning to guide better decisions.
A data lake is a centralized repository that allows you to store all your structured and unstructured data at any scale. You can store your data as-is, without having to first structure the data, and run different types of analytics—from dashboards and visualizations to big data processing, real-time analytics, and machine learning to guide better decisions.