DevOps for IT leaders: What you need to know
Many businesses toggle between dozens of dashboards every day to effectively monitor multiple data sources. Dashboards for infrastructure provide information about the CPU, memory, availability, and other important metrics across hardware, software, and applications. Platform dashboards are used to monitor components across on-premises, cloud, PaaS, and Hadoop distributions. In addition to providing insight into running jobs, failure rates, ingestion metrics, and several other parameters, application dashboards also assist in the maintenance of customer satisfaction levels.
Additionally, security dashboards monitor application firewalls, data encryption, and user authorization; incident dashboards prioritize and close incidents according to target service level agreements (SLAs). To achieve KPIs and ensure quality across the release cycle, enterprises need to monitor these core DevOps dimensions. Using multiple tools from different third parties and open-source organizations, however, sets up silos and makes collaboration across teams more difficult.
DevOps platforms should capture and consolidate useful operational data, perform contextual analysis, and apply intelligence to provide comprehensive insights across multiple environments in real-time. Cloud-based platforms enable enterprise teams to quickly pinpoint the cause of any performance problem, resolve it quickly, and ensure an exceptional user experience.
Unified DevOps: How to Choose a Platform
The following criteria can help you choose a DevOps platform that provides aggregated information about your enterprise’s applications, platforms, and infrastructure:
Analyzing system availability on a deeper level.
When a service or infrastructure node crashes, the CPU usage spikes, or jobs fail, the availability of the system can be compromised. As well as providing details about overall system availability, the platform should enable users to drill down to specific layers in the stack and pinpoint the cause of any downtime using appropriate filters. To facilitate a quick correlation between important data points, it should make it possible for users to identify and resolve issues without wasting a lot of time.
Security scoring in real-time.
To prevent negative impacts on the customer experience, it is critical to monitor the security health of all enterprise environments. There is a tendency to keep security monitoring levels relaxed in development and staging environments (and focus more on production and testing environments). DevOps platforms can help developers and IT managers stay informed of any non-compliance to security standards in real-time so they can take corrective action immediately. Additionally, the platform should publish a consolidated security score for executives and program sponsors to take immediate action to improve the organization’s security posture.
Role-based access allows for effective control of cloud spending.
It is possible to control cloud costs significantly with a DevOps platform that provides role-based access to developers, engineering teams, and operations teams. Spending on platform and infrastructure services across all public cloud providers needs to be monitored to ensure the stipulated budgets are not exceeded. In addition to analyzing six-to-12-month cloud spending trends and predicting upcoming budgets, other desirable features include cloud attribution and forecasting.
Monitoring key DevOps KPIs is essential.
The enterprise must monitor DevOps KPIs such as deployment frequency, lead time-to-release, and quality metrics such as code coverage, quality, and maintainability to meet required timelines. For each of these KPIs, enterprise teams should set goals and constantly monitor them for improvement. To track project progress effectively, each team should monitor KPIs during program execution (and during each iteration) and publish the overall KPI scores for stakeholders.
Compliance with SLAs.
Keeping ahead of the curve in a digital world requires enterprises to rapidly respond to incidents and resolve them at the time they occur. A team has to access contextual insights quickly from incident metrics to achieve this goal. Monitoring tools typically provide standard metrics, however, enterprises often need to forecast how many incidents will occur (overall and for each application) in the upcoming weeks. Planning rosters and maximizing resource utilization is possible with this information.
Though cloud platforms offer native artificial intelligence (AI) services that can leverage operational data to deliver such predictions, it is an additional cost for enterprises. Using a DevOps platform that integrates with public cloud environments and cloud-native data models can help solve this problem. In addition to this, it simplifies the process of categorizing and managing events, allowing organizations to save time and effort.
Finally, a word of wisdom
A key element of digital transformation is DevOps, which is used for modernizing applications, managing cloud platforms, and ensuring continuous integration and delivery (CI/CD). As organizations become dissatisfied with the lack of a single pane of glass for monitoring IT data, they turn to DevOps platforms that provide a single pane of glass for all monitoring. The right platform can aid stakeholders in real-time decision-making, accelerate time-to-market, and gain an edge in the competition.