Cloud Monitoring as a Service (SaaS)
Cloud Monitoring As a Service Monitoring as a service in cloud computing is a necessary attribute to maintain stability and protect against possible performance losses
Kubernetes helps improve reliability by default. However, even with its built-in self-healing capabilities, expert intervention is critical to adjust and fine-tune your Kubernetes clusters for reliable operations.
Our certified Kubernetes experts handle all the complex operational tasks, such as deployments, scaling, monitoring, security patching, and more. With our improved reliability service, your apps will stay secure and available without any operational burden on your teams.
Downtime, even for brief periods, can be incredibly costly for a business. When your Kubernetes clusters go down, your websites, web apps, mobile apps, or other customer-facing services are offline and inaccessible.
Customers expect reliable services they can depend on around the clock. If they consistently can't access your offerings, they'll quickly lose patience and take their business elsewhere to competitors who can deliver on reliability.
Industries like finance, healthcare, and e-commerce can’t tolerate unreliable systems or downtime due to strict compliance requirements.
For example, financial firms require maximum uptime and data integrity to avoid missed transactions, compliance violations, and hefty penalties. In healthcare, the continuous availability of electronic records is essential for proper patient care when lives are at stake. And e-commerce businesses rely on uninterrupted shopping experiences 24/7, as even brief downtime leads to abandoned carts and permanently lost sales.
Customer demand often fluctuates based on promotions, new product launches, seasonal trends, or other events. During these peaks, application traffic can surge to levels that severely tax your Kubernetes infrastructure. If your clusters can't reliably scale resources up, you risk outages.
If your Kubernetes applications serve a global user base, you need regionalized clusters deployed across multiple geographic zones. This allows the applications to run close to each major user base to minimize latency. However, these regionalized Kubernetes clusters must stay reliably synchronized and quickly failover to backup regions if an outage occurs in one location.
Autoscaling configurations
Traffic spikes put immense strain on unprepared infrastructure. A sudden influx of users can quickly overwhelm existing resources if you lack proper scaling measures in place.
While Kubernetes offers autoscaling features, the default settings are often insufficient. The out-of-the-box configurations can’t account for variations in application architectures, performance profiles, cost constraints, and traffic patterns across different business domains.
Our role is to analyze your application demands and requirements. We then tune the complex web of autoscaling levers, policies, and trigger conditions to create a high-performing scaling setup and maintain high availability during traffic spikes without over-provisioning.
Kubernetes monitoring and alerting
Our engineers use cloud-native services and open-source tools like Prometheus and Grafana to implement full-stack Kubernetes monitoring. Metrics are collected across all layers — infrastructure, control plane, nodes, workloads, and applications.
Our custom dashboards provide visibility into cluster status, resource utilization, pod lifecycles, scheduler/controller operations, and more. We also configure intelligent alerting rules based on your specific SLOs to proactively notify teams about any operational, performance, or availability issues.
Release coordination
Modern applications rarely exist in a vacuum. They often depend on external systems like databases and caching layers. Updating just the Kubernetes deployment without considering these dependencies can impact reliability.
IT Outposts carefully coordinates Kubernetes deployments with other dependencies, like database updates or configuration changes, to ensure improved reliability.
Security hardening
We implement rigorous role-based access control policies using the principle of least privilege.
All application secrets, credentials, and certificates get securely stored and distributed using proven key management and vault solutions.
These security practices, combined with Kubernetes’ immutable control plane model, allow us to strengthen your clusters’ security defenses. As a result, you mitigate Kubernetes reliability risks from misconfigurations, vulnerabilities, and potential attacks.
Custom health checks
While Kubernetes provides liveness/readiness probes by default, these only validate if containers are actually running. For improved reliability, we build custom health checks that verify positive functional scenarios from the end-user’s perspective.
These functional health checks catch issues that standard liveness probes can miss, such as startup issues, partial failures, processing delays, and more. They prevent situations where pods may be “running” but provide degraded service and help increase stability and reliability for Kubernetes.
No more downtime disasters
When you trust us with your Kubernetes environments, you get highly available, self-healing infrastructure you can depend on day and night. Your customers enjoy seamless experiences while you focus on more strategic business activities.
Accelerated innovation cycles
With our improved reliability service, your teams can release new customer-delighting features and experiences into production as frequently as you'd like. We'll ensure your Kubernetes clusters are ready to handle each new deployment without hiccups. Continuous iteration will become the new norm.
Cloud costs under control
Our expertise in Kubernetes autoscaling ensures your clusters operate in a cost-efficient, optimized state. Resources scale up seamlessly to meet high availability needs during demanding periods. But we also prevent overprovisioning and idle spending when traffic is low. With our cost optimization approach, you can maximize your cloud budgets without sacrificing resilience.
Bullet-proof security posture
We lock down your Kubernetes environments through multiple security layers — access rules, network restrictions, process constraints, and automated updates. Your critical applications and intellectual property stay secure, so you can rest easy.
Discovery
First, we need to understand your business goals and operational requirements. The discovery stage allows us to gain full visibility into your current Kubernetes environment, deployment processes, observability practices, and any existing reliability gaps or pain points.
Analysis
Our engineers then review your Kubernetes configurations, codebases, and metrics. We identify potential Kubernetes reliability risks and areas for improvement.
Strategy
Based on the analysis, our team designs a custom reliability strategy tailored to your Kubernetes needs. Our recommendations include optimized deployment methods, health-checking approaches, self-healing policies, security hardening, and robust monitoring and alerting.
Implementation
With the strategy defined, we implement reliability improvements and best practices across your Kubernetes clusters and CI/CD pipelines. This involves hands-on configuration updates, security lockdowns, instrumentation additions, and automation workflows.
Validation
Before rolling out the updated Kubernetes environments to production, our team purposely creates potential issues and failures through practices like fault injection testing. This allows us to verify that all the new resilience features we implemented will actually work as intended when real problems arise in the production systems.
Optimization
After we set up the system, we continuously monitor and adjust the reliability controls, policies, and thresholds. As your application demands and traffic change over time, we make updates to ensure maximum uptime.
Knowledge transfer
In parallel, we provide comprehensive knowledge transfer so your teams can own and sustain the improved reliability practices long-term.
Spend less time fixing issues and more time innovating with IT Outposts as your Kubernetes reliability partner. We'll handle the hard work, freeing up your skilled teams to focus on building great products that make customers happy and grow your business. Achieve advanced reliability configuration in Kubernetes — schedule a consultation!
With our certified team of professionals, you get peace of mind knowing your mission-critical containerized applications work smoothly around the clock.
Our proven processes provide a foundation for your containerized ecosystem’s success. From zero-downtime deployment strategies and comprehensive observability to security hardening and cost optimization, we check all the boxes.
Reliability in Kubernetes means keeping your applications running smoothly on the Kubernetes clusters without any downtime or disruptions.
Kubernetes itself is a highly reliable and proven platform when configured correctly. However, to ensure improved reliability for your applications, you need additional setup, Kubernetes monitoring, and optimizations done by professionals.
To get the best reliability and cost efficiency from Kubernetes, you need to fine-tune resource limits, automatic scaling policies, and observability tools.
Cloud Monitoring As a Service Monitoring as a service in cloud computing is a necessary attribute to maintain stability and protect against possible performance losses
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