Հայտնաբերեք և լուծեք խնդիրները` նախքան նրանք կազդեն ձեր օգտագործողների վրա
Մոնիտորինգի համար նախատեսված DevOps գործիքների ինտեգրված փաթեթը հնարավորություն ունի բարելավել տեսանելիությունն ու արտադրողականությունը, հասնել ավելի բարձր մակարդակի համակարգերի և հաստատել բազմաֆունկցիոնալ համագործակցություն:
Հնարավորություն տվեք Keen-ի մասնագետներին մատուցել ձեր բիսզնեսին ՏՏ ենթակառուցվածքի մոնիտորինգ, սահմանել ձեր ռազմավարությունը և վերլուծեն տվյալները
Why companies need Monitoring?
Data is a valuable raw material for organizations when it is correctly processed and evaluated. In today’s time, with the emergence of big data and digital transformation, data-driven organizations rely entirely on data analysis to make well informed and quick decisions.The right toolset is more than the tools themselves, it’s about developing the culture, discipline, and practices that come to define your product/service and your workplace.
Keen Monitoring Toolset
It is the process of analyzing digital data from various sources like mobile applications or websites. We provide digital analytics services to our clients to help them examine their customers’ behavior and translate it into actionable business data.
The process of collecting data and placing it into a visual context is a data visualization. Data visualization makes it easier to detect patterns and trends of the customers. With the help of our data visualization service, our customers can quickly understand complex patterns in data sets.
Monitoring Your Applications
Monitoring applications is a key factor in identifying issues (performance, regression, or otherwise) and fixing them quickly as part of a team’s iteration. Four of the more popular application performance monitoring (APM) tools are New Relic, Dynatrace, AppDynamics and Elastic APM. Apart from letting teams monitor and manage their software, they also allow for end-user monitoring, which is crucial to ensuring an application is delivering the best experience.
The other side of the coin to application performance monitoring is infrastructure monitoring. There are many, many tools for this, including SaaS solutions such as DataDog, LogicMonitor, and SignalFx, as well as hybrid solutions such as Zenoss. Though it’s a favorite of teams transitioning from legacy development processes, Nagios alone isn’t enough for your DevOps monitoring strategy.
Analyzing logs is a crucial part of the iterative improvement cycle and is a critical part of system troubleshooting, debugging, and security incident response. Popular log analysis tools include Splunk, LogEntries, and Loggly. They allow you to study user behavior based on log file analysis. They also let you collect a fast amount of data from various sources in one centralized log stream. This is a convenient way to maintain and analyze log files. Apart from debugging, Log analysis plays a key role in helping you comply with security policies, and regulations and is vital in the process of auditing and inspection.
DevOps really outshines the traditional Waterfall approach in the field of incident management. It is with the help of incident management platforms like PagerDuty that cloud-based applications can now encourage users to resolve most of their issues themselves. PagerDuty is unique in its capabilities as it not only allows you to integrate with just about any tool you can imagine, it allows you to customize your incident management workflows to suit different teams. This approach avoids bottlenecks, and helps achieve the ultimate goal of providing the best user experience.
Most popular data sources for storing metrics are: InfluxDB, Elastic Search, Graphite, Stackdriver, PostgreSQL and others.Grafana alerting and proper log aggregation will give your infrostructre more stability and reliability.
Grafana is an open-source alternative to Kibana. Grafana is best known as a visualization / dashboarding tool focused on graphing metrics from various data sources, such as InfluxDB, Elastic Search, Graphite, Stackdriver, PostgreSQL and more. Grafana provides predefined alerts also. Alerts allow your team to identify problems in your system moments after they occur. By quickly identifying unintended changes in your system, you can minimize disruptions to your services manually or it can be done automatically making api calls and actions provided by your engineers (e.g. enable DDos protection in cloudflare, restart services and more ...)