Diagnosing Incidents Without an Infra Team? Here’s a Better Way
Struggling to manage technical issues without a dedicated infrastructure team? Here's the good news: you don't need a huge team or extensive resources to keep your systems running smoothly. With the right tools and processes, small businesses and startups can handle incidents effectively while focusing on growth.
Key Takeaways:
- Use lightweight observability tools like Datadog, AWS CloudWatch, or Honeycomb to monitor system health and detect issues early.
- Automate incident workflows with platforms like Opsgenie or PagerDuty to streamline alerts and responses.
- Create clear playbooks for structured responses, reducing confusion during crises.
- Leverage managed services for expert backup when facing major outages or complex problems.
- Prevent incidents by optimising infrastructure, improving security, and running regular health checks.
The result? Faster issue resolution, reduced downtime, and more time for your team to focus on innovation - all without the need for a full-scale DevOps team.
10 Practices of Highly Successful DevOps Incident Management Teams
Step 1: Use Lightweight Observability Tools
Observability tools provide a clear view of your systems, making it easier to spot issues before they spiral out of control. Instead of manually combing through logs, these tools let you monitor everything at a glance. The trick is to pick tools that don’t require a full team to manage.
Modern cloud-native platforms gather metrics, logs, and traces automatically, presenting the data through user-friendly dashboards. This means even small teams can keep an eye on their systems without a drawn-out setup process.
Pick the Right Observability Tool
The best tools strike a balance between simplicity and thorough monitoring.
Datadog is an all-in-one platform that combines infrastructure monitoring, application performance tracking, and log management. Its automatic service discovery feature kicks in right away, finding your services and starting to monitor them. Datadog stands out by linking data across your stack, making it easier to trace problems back to their source.
AWS CloudWatch is a solid choice if your systems are heavily tied to Amazon's ecosystem. It’s affordable for basic monitoring and integrates seamlessly with other AWS services. However, you may need additional tools for more in-depth application-level insights.
Honeycomb offers a unique take, focusing on observability rather than traditional monitoring. It’s particularly useful for debugging complex, distributed systems, allowing you to ask custom queries about your data - perfect for tackling unusual or intermittent issues.
When choosing a tool, think about how it fits with your team's technical expertise. Some platforms require more manual setup, while others work right out of the box. Also, consider how well the tool will scale as your team and systems grow.
Key Metrics to Monitor
To avoid drowning in data, focus on metrics that directly impact user experience and system stability.
Start with application performance metrics like response times, error rates, and throughput. These give you a clear picture of how users experience your platform. Pay close attention to critical user journeys - such as account sign-ups, payments, or core features - so you’re alerted immediately if something slows down or stops working.
Infrastructure health metrics are another priority. Basic indicators like CPU usage, memory consumption, and disk space often reveal problems early. Keep an eye on network latency and packet loss too, as they can signal connectivity issues affecting your users.
Database performance is crucial since databases often become bottlenecks in web applications. Monitor query execution times, connection pool usage, and slow query logs to catch issues before they cascade through your system.
Don’t forget third-party service dependencies. If you rely on external services - like payment processors, email providers, or APIs - track their response times and error rates. This helps you quickly determine whether a problem is internal or due to an external provider.
Finally, include business-specific metrics. For a SaaS platform, this might mean tracking active user sessions or subscription events. For an e-commerce site, conversion rates and cart abandonment figures are key indicators.
Reduce Alert Fatigue
Too many alerts can be as bad as none at all. When teams are bombarded with notifications for minor issues, they’re more likely to ignore them - risking the chance of missing a serious problem.
Focus on the events that truly matter. Configure alerts for high-impact issues like payment system failures, authentication outages, or database connection problems. These are the kinds of problems that demand immediate attention and rarely result in false alarms.
Modern tools can learn your system's normal behaviour, flagging anomalies instead of relying solely on fixed thresholds. For example, they might highlight unusual API call volumes or unexpected role changes that signal potential issues.
Keep your logs focused by recording only significant events. This reduces unnecessary noise while still capturing the data you need to diagnose problems.
Centralising your logs is another smart move. Many platforms use machine learning to correlate alerts from different services, cutting through the noise to identify genuine threats. Some tools even group related notifications into single incidents, making it easier to see the bigger picture.
Finally, set up alert escalation policies that align with your team’s availability. Not every issue warrants a 3 AM wake-up call. Reserve immediate alerts for problems that directly affect users or revenue, while less critical issues can wait until business hours or be handled automatically.
Make alert tuning a regular habit. Review the alerts triggered in the past month, and adjust thresholds or disable ones that consistently prove unhelpful. Add new alerts if you find gaps during incident reviews.
Once you’ve got observability under control, the next step is to streamline incident management with automation.
Step 2: Automate Incident Management Workflows
When incidents strike, clear processes are a must - manual handling often creates unnecessary confusion. Small teams can't afford to waste time hunting for contact details, debating who does what, or losing track of progress. This is where automation steps in, turning a chaotic response into a streamlined, efficient process.
Automation doesn’t replace human decision-making - it removes repetitive tasks, allowing your team to focus entirely on solving the issue. Modern incident management platforms can handle tasks like routing alerts, tracking response times, and maintaining detailed incident logs. Let’s explore how to configure these tools to simplify your workflow.
Set Up Incident Management Tools
Once you’ve established observability, automating incident responses can significantly reduce downtime and stress.
Opsgenie intelligently routes alerts based on factors like time, issue type, and team availability. If the initial responder doesn’t acknowledge an alert within a set timeframe, it escalates to the next person or team, ensuring no critical alerts are overlooked - even during busy periods or unexpected unavailability. Opsgenie also integrates with tools like Datadog and CloudWatch, automatically creating incidents from critical alerts. Its mobile app ensures team members can respond quickly, even while away from their desks.
Zenduty offers similar features but stands out for its flexibility. It allows you to configure complex escalation policies without needing extensive technical knowledge. Additionally, it provides analytics on response times and incident trends, helping you identify areas for improvement.
PagerDuty, a more established platform, includes advanced features such as machine learning to reduce alert noise. It groups related incidents and suppresses duplicate notifications, which can be especially helpful for larger teams. However, smaller teams may find its extensive features more than they need.
When selecting a platform, prioritise how it manages on-call scheduling. The best tools automate rotations, account for holidays, and ensure fair distribution of after-hours alerts. They should also integrate seamlessly with your communication tools - whether that’s Slack, Microsoft Teams, or email.
Another critical feature is bidirectional integration with your monitoring stack. This ensures that when an incident is created in your monitoring tool, it’s automatically logged in your incident management system, and updates flow smoothly in both directions. This prevents the common problem of fragmented incident data across multiple platforms.
Create Clear Incident Playbooks
When systems fail, chaos can take over. That’s where incident playbooks come in - predefined steps that turn confusion into order. These playbooks help teams of any size respond quickly and effectively, minimising errors and missed solutions.
Start by defining severity levels with clear response times and escalation steps. For instance, a Severity 1 incident might mean a complete service outage, while a Severity 3 event could involve a minor feature glitch. Document troubleshooting commands, communication templates, and rollback procedures for each.
For recurring issues, include common troubleshooting steps. If your application often faces database connection problems, outline the commands to check connection pools, restart services, and verify database health. Providing exact commands and expected outputs can save valuable time during high-pressure situations.
Predefined communication templates are another essential element. These templates should cover incident updates, roles, and escalation steps, allowing teams to focus on resolving the issue instead of drafting messages under stress.
Don’t forget rollback procedures for major system components. Document how to revert recent changes, restore backups, or switch to failover systems. Regularly test these procedures - an untested rollback plan can cause more harm than good.
Keep your playbooks up to date. After every incident, review what worked and what didn’t, and revise the playbook accordingly. Over time, these updates will make your processes more efficient.
Finally, ensure playbooks are easy to access during an incident. While many teams use internal wikis or shared documents, consider integrating playbooks directly into your incident management platform. This way, they appear automatically when an incident is triggered.
Run Post-Incident Reviews
Post-incident reviews are a chance to turn challenges into lessons. They focus on identifying root causes and preventing similar issues in the future.
Schedule reviews within 48 hours of resolving a major incident, while details are still fresh. Involve everyone who played a role in the response, from the first person alerted to those who communicated updates or implemented fixes.
Start by reconstructing the timeline of events - when alerts were triggered, who was notified, and what actions were taken. Many incident management tools can automatically generate these timelines, making this step easier.
Ask constructive questions during the review. Avoid blaming individuals; instead, focus on questions like, “What information could have prevented this issue?” or “What monitoring gaps allowed this to happen?” This approach encourages open discussion and leads to meaningful improvements.
Document action items with clear ownership and deadlines. These might include adjusting monitoring thresholds, improving documentation, or adding safeguards. Follow through on these tasks - unresolved issues can lead to repeat incidents.
Share the lessons learned across your organisation. A concise summary of what happened, what was learned, and the steps being taken to prevent recurrence can build trust with stakeholders and customers while fostering a culture of continuous improvement.
Some teams find value in holding monthly review sessions to examine trends across multiple incidents. This broader view can highlight recurring problems, such as issues clustering around deployments or challenges with on-call rotations.
With these practices in place, your team will be better prepared to handle incidents effectively. And when challenges exceed your in-house expertise, you’ll be ready to seek external support.
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Step 3: Partner with Managed Services for Backup Support
Even with the best automation and observability tools, there are times when you simply need outside expertise. Picture this: it’s 03:00, your platform is down, or an unexpected surge in traffic is threatening to overwhelm your systems. These are the moments when managed services can step in, turning a potential disaster into a manageable situation.
Managed services aren’t here to replace your development team. Instead, they act as a safety net, offering on-call expertise when your internal resources are stretched thin. Think of them as your backup team for those "what now?" moments.
When to Call for Help
There are certain situations where bringing in external expertise is not just helpful - it’s essential. For example:
- Major Outages: When a critical system fails and threatens core business functions, you need an immediate response from someone with deep operational expertise. Your developers may excel at building features, but diagnosing a failing database cluster under peak traffic often requires specialised skills.
- Compliance Requirements: If you’re pursuing certifications like SOC 2 or ISO 27001, managed services can simplify the process. They bring established frameworks and experience to help you meet these standards efficiently.
- Complex Performance Issues: When your application slows to a crawl and the root cause isn’t obvious, external experts with a broad range of experience can often identify and resolve the issue faster than an internal team working in isolation.
- Cost Optimisation: As your cloud spend grows, even small inefficiencies can add up to significant costs. Managed service providers can audit your infrastructure, uncover hidden savings, and help you optimise your resources.
These scenarios highlight why managed services are more than just a convenience - they’re a critical part of maintaining smooth operations and achieving long-term goals.
Key Benefits of Managed Services
Partnering with a managed service provider comes with a range of benefits that go beyond just solving immediate problems:
- Round-the-Clock Support: Managed services provide 24/7 incident response, ensuring that issues are addressed no matter when they arise. This can be a game-changer for businesses with global operations or unpredictable traffic patterns.
- Cost Efficiency: Services like Critical Cloud’s FinOps help streamline resource usage across AWS, Azure, and GCP, cutting waste and reducing unnecessary expenses.
- Enhanced Security: With expert guidance, you can strengthen your infrastructure through better security controls, reliable backup strategies, and comprehensive monitoring, all while avoiding common pitfalls.
- Scalable Expertise: Instead of hiring full-time DevOps or SRE engineers before you’re ready, you gain access to seasoned professionals who’ve tackled similar challenges across various industries.
- Focus on Innovation: By letting managed services handle operational complexities, your developers can concentrate on what they do best - building and innovating.
Avoid Vendor Lock-In
One common concern with managed services is the risk of becoming dependent on a single vendor. The best providers avoid this by working with your existing tools and ensuring you maintain full ownership of your systems.
Here’s how to ensure you stay in control:
- Platform Independence: A good provider supports the cloud platforms you already use - whether it’s AWS, Azure, GCP, or a hybrid setup - without locking you into proprietary solutions.
- Tool Compatibility: Whether you rely on Datadog, CloudWatch, or another observability tool, your managed service provider should complement your existing setup rather than replace it.
- Transparency and Knowledge Sharing: Providers should document their work and share insights with your team, helping you build internal expertise over time.
- Flexible Contracts: Look for providers that offer modular services, allowing you to scale up or down as your needs change. For instance, Critical Cloud’s approach ensures you only pay for the support you need, with the flexibility to adjust as your business grows.
Step 4: Take Steps to Prevent Incidents
Keeping your systems running smoothly isn't just about reacting to problems when they arise - it's about taking proactive measures to avoid them in the first place. By managing your infrastructure wisely, you can reduce risks without overspending or overcomplicating your setup. Let’s dive into the key areas where preventive actions can make a real difference.
Optimise Infrastructure for Scale
Getting your infrastructure to scale efficiently is a critical part of incident prevention. One key step is right-sizing your cloud resources. Over-provisioning wastes money and hides performance problems, while under-provisioning risks failure when demand spikes. Striking the right balance is essential.
Use tools like auto-scaling to dynamically adjust resources based on demand. Services such as AWS Auto Scaling Groups, Azure Virtual Machine Scale Sets, or Google Cloud's managed instance groups can automatically increase or decrease resources based on metrics like CPU usage or memory consumption. This not only prevents overloads but also helps keep costs under control.
Database performance is another common trouble spot. Poorly optimised queries might work fine with smaller datasets but can fail under heavier loads. Regular database health checks, along with strategies like query tuning and proper indexing, can prevent these bottlenecks before they lead to outages.
Content delivery and caching also play a huge role in handling traffic spikes. Using a CDN like CloudFlare or AWS CloudFront can offload traffic from your servers, while application-level caching reduces database strain and improves response times.
Don’t forget to keep an eye on your cloud spending. Tools like AWS Cost Explorer or built-in billing alerts can flag inefficiencies or misconfigurations early, preventing them from escalating into bigger issues.
Harden Security and Compliance
Once your infrastructure is optimised for scale, the next step is to secure it. Security incidents can be just as disruptive as technical failures, so it’s essential to adopt a secure-by-default approach.
Start with identity and access management (IAM). Stick to the principle of least privilege, ensuring users and services only have the access they truly need. Regular audits can uncover over-privileged accounts, which often pose unnecessary risks. Many breaches begin with compromised credentials that have too much access.
For network security, ensure your firewall rules and VPC configurations are up to date, and review your security groups regularly. Avoid opening ports unnecessarily - each one is a potential weak spot. Documenting your network architecture makes it easier to spot and fix vulnerabilities.
Encryption is another must-have. Use encryption both at rest and in transit, especially if compliance certifications like ISO 27001 or SOC 2 are on your radar.
Regular security audits are non-negotiable. You don’t need a massive security team - automated tools and periodic reviews can catch many vulnerabilities. Focus on essentials like patching systems, removing unused resources, and ensuring logging is properly configured.
Finally, have a solid backup and disaster recovery plan in place. Test your backups regularly to ensure they work when you need them most. Automated backup verification and clear recovery procedures can turn a potential crisis into a manageable issue.
Run Regular Health Checks and Tuning
Routine maintenance is your best ally in catching problems before they become major incidents.
Proactive monitoring goes beyond tracking uptime. It involves keeping an eye on performance trends, resource usage, and early warning signs of trouble. Regular infrastructure health checks can reveal subtle issues like gradual performance declines or increasing error rates, which could snowball into bigger problems if left unchecked.
Fine-tune your monitoring setup by reviewing logs and alerts. Eliminate false positives to reduce alert fatigue, while ensuring critical issues trigger timely responses. A well-calibrated system helps you address problems early, when they’re easier to resolve.
Capacity planning is another important step. By analysing actual usage patterns, you can scale resources ahead of demand and avoid resource exhaustion. This is especially crucial for databases and storage systems, which often can’t scale as quickly as compute resources.
Establishing a performance baseline is also invaluable. Knowing what "normal" looks like for your systems makes it much easier to spot anomalies and diagnose issues. Over time, this historical data becomes a key tool for preventing similar problems in the future.
Finally, schedule regular infrastructure reviews with your team. These don’t have to be overly formal; even casual monthly discussions can uncover areas for improvement. Sometimes, a fresh perspective can identify risks or inefficiencies that might go unnoticed in daily operations.
Conclusion: Better Incident Diagnosis Without the Overhead
Maintaining reliable cloud infrastructure without a dedicated operations team isn’t just possible - it’s practical with the right approach. The key takeaway? Smart tools trump large teams when it comes to efficiency.
By using lightweight observability tools and automated incident management workflows, you can achieve the clarity and response structure needed, minus the unnecessary complexity. Combine this with clear playbooks and thorough post-incident reviews, and you’ll turn every challenge into an opportunity to improve.
Managed services also play a critical role, offering expert support for complex issues while ensuring you stay in control of your infrastructure. They help you avoid locking yourself into a single vendor, giving you flexibility. And while reactive support is vital, proactive measures are just as important for ensuring long-term stability.
Remember, prevention is your most powerful tool. By reducing the likelihood and impact of incidents, you make your reactive responses smoother and more effective.
This strategy allows you to scale without costly enterprise solutions or the need for early specialist hires. Instead, you’re building a system that matures alongside your business, keeping your focus on what truly matters - delivering value to your customers.
It’s okay if your system isn’t perfect in the early stages. As long as it’s resilient, observable, and adaptable, you’ll be able to handle growth, tackle incidents, and maintain reliable operations - all without the burden of a full-scale ops team.
FAQs
What’s the best way for small businesses to pick observability tools without an infrastructure team?
Small businesses should focus on observability tools that are straightforward to implement, simple to operate, and compatible with their current systems. Opt for platforms that provide clear visualisations, flexible dashboards, and practical insights to make problem-solving easier.
Managed or cloud-native solutions can be a great choice, as they minimise the need for advanced technical skills. Open-source tools might also be a good fit for teams that don’t mind a bit of setup work, but make sure they come with reliable support and thorough documentation. The key is to choose tools that meet your operational requirements without overcomplicating your processes.
How can I create effective incident playbooks and keep them up to date?
Creating incident playbooks that work well starts with identifying potential incidents and sorting them by severity. This helps you decide which issues need immediate attention. Clearly assign roles and responsibilities so every team member knows their part and who to contact when something goes wrong. Include straightforward processes for detection, monitoring, and reporting to make spotting and sharing issues easier.
For playbooks to be useful, they should include step-by-step actions for containment, mitigation, and resolution, tailored to specific situations. Regularly update them based on lessons learned from previous incidents and ensure they’re easy for your team to access. Automating repetitive tasks where possible can also save time and cut down on mistakes.
When should a company use managed services for incident management, and how can they avoid being tied to a single provider?
Using managed services for incident management can be a smart choice, especially if your organisation lacks specialised expertise, needs to expand operations quickly, or aims to improve security and efficiency without adding to overhead costs. Managed service providers (MSPs) bring skilled support, strong security protocols, and cost-efficient solutions tailored to fit your specific requirements.
To steer clear of vendor lock-in, opt for providers that emphasise transparency, open standards, and engineer-led methodologies. Look for tools and services that seamlessly integrate with existing platforms while allowing your team to maintain control over essential operational data and processes. This strategy ensures your business remains flexible and independent as it grows and adapts.