How to Prevent Recurring AWS Incidents

I'm a Software Engineer at AWS with over 7 years industry experience. One of the biggest parts of my job is on-call. I've seen engineers panic during incidents. I've seen others resolve them calmly. Here's what separates the two: ► Before the incident: → Understand your system architecture → Know your monitoring and alerting inside out → Learn to read logs efficiently → Understand your deployment pipeline → Practice rollbacks before you need them → Create runbooks for common issues → Have incident communication templates ready ► During the incident: → Understand blast radius and impact immediately → Know when to escalate (don't be afraid to do this) → Communicate clearly with stakeholders → Don't make changes without logging them → Use AI to quickly summarise logs and identify patterns ► After the incident: → Run a blameless post-incident review → Document what happened and why → Update runbooks based on what you learned → Share lessons with your team → Use chaos engineering to prevent recurrence Incidents will happen. But your preparation determines whether they're catastrophic or just stressful. --- ♻️ Repost to help another engineer operate large systems ➕ Follow Abdirahman Jama for software engineering tips

𝐓𝐡𝐚𝐭 𝐯𝐢𝐫𝐚𝐥 𝐩𝐨𝐬𝐭 𝐚𝐛𝐨𝐮𝐭 𝐚𝐧 #𝐀𝐖𝐒 𝐝𝐚𝐭𝐚 𝐜𝐞𝐧𝐭��𝐫 𝐨𝐧 𝐟𝐢𝐫𝐞? Whether it’s real, fake, or exaggerated… it highlights one uncomfortable truth: 𝗜𝗳 𝗼𝗻𝗲 𝗲𝘃𝗲𝗻𝘁 𝗰𝗮𝗻 𝘁𝗮𝗸𝗲 𝗱𝗼𝘄𝗻 𝘆𝗼𝘂𝗿 𝗯𝘂𝘀𝗶𝗻𝗲𝘀𝘀, 𝘆𝗼𝘂 𝘄𝗲𝗿𝗲 𝗻𝗲𝘃𝗲𝗿 𝘁𝗿𝘂𝗹𝘆 𝗿𝗲𝘀𝗶𝗹𝗶𝗲𝗻𝘁. ❌ Cloud does not eliminate risk. ✅ It gives you tools to design around it. Let’s talk about what actually matters on AWS: 🔹 High Availability (HA) - Deploy across multiple Availability Zones. - Use load balancers. - Enable Multi-AZ for RDS. Design so failure is expected, not shocking. If one AZ goes down, traffic shifts. Users stay online. 🔹 Disaster Recovery (DR) - Region-level events are rare, but not impossible. 𝐝𝐞𝐟𝐢𝐧𝐞: • RTO – How fast must you recover? • RPO – How much data can you afford to lose? Choose the right strategy: 🔶Backup & Restore 🔷Pilot Light 🔶Warm Standby 🔷Multi-Region Active/Active Your DR plan should match business impact, not fear. 🔹 Backups (The Most Ignored Layer) - Most incidents are not geopolitical. - They’re accidental deletes, bad deployments, ransomware, or human error. Use: • AWS Backup • Cross-Region snapshots • Cross-Account backups • Immutable storage like S3 Object Lock

I recently completed a client's AWS infrastructure audit. The issues that uncovered are surprisingly common. Here's what I found: 𝟭. 𝗨𝗻𝗲𝗻𝗰𝗿𝘆𝗽𝘁𝗲𝗱 𝗘𝗕𝗦 𝗩𝗼𝗹𝘂𝗺𝗲𝘀   Data at rest was not encrypted, posing a significant security risk. 𝟮. 𝗖𝗹𝗼𝘂𝗱𝗧𝗿𝗮𝗶𝗹 𝗗𝗶𝘀𝗮𝗯𝗹𝗲𝗱   The account lacked crucial audit logs, limiting visibility into account activities. 𝟯. 𝗣𝘂𝗯𝗹𝗶𝗰 𝗦𝟯 𝗕𝘂𝗰𝗸𝗲𝘁𝘀   Several S3 buckets were publicly accessible, potentially exposing sensitive data. 𝟰. 𝗦𝗦𝗛 (𝗣𝗼𝗿𝘁 𝟮𝟮) 𝗢𝗽𝗲𝗻 𝘁𝗼 𝘁𝗵𝗲 𝗪𝗼𝗿𝗹𝗱   Unrestricted SSH access increased the attack surface unnecessarily. 𝟱. 𝗩𝗣𝗖 𝗙𝗹𝗼𝘄 𝗟𝗼𝗴𝘀 𝗗𝗶𝘀𝗮𝗯𝗹𝗲𝗱   Network traffic insights were missing, hampering security analysis capabilities. 𝟲. 𝗗𝗲𝗳𝗮𝘂𝗹𝘁 𝗩𝗣𝗖 𝗦𝘁𝗶𝗹𝗹 𝗶𝗻 𝗨𝘀𝗲   The default VPC was being used, often lacking proper segmentation and security controls. These findings aren't unusual. Many organizations, from startups to enterprises, overlook these aspects of AWS security and best practices. That's why doing regular AWS account audits are crucial. They help identify potential vulnerabilities before they become problems. 𝗞𝗲𝘆 𝘁𝗮𝗸𝗲𝗮𝘄𝗮𝘆𝘀 𝗮𝗻𝗱 𝘀𝗼𝗹𝘂𝘁𝗶𝗼𝗻𝘀: 1. Encrypt data at rest: Enable default EBS encryption at the account level. 2. Implement comprehensive logging: Enable CloudTrail across all regions and set up alerts. 3. Restrict public access: Use S3 Block Public Access at the account level and audit existing buckets. 4. Use modern, secure access methods: Implement AWS Systems Manager Session Manager instead of open SSH. 5. Enable network monitoring: Turn on VPC Flow Logs and set up automated analysis. 6. Design your network architecture intentionally: Create custom VPCs with proper security controls. By addressing these common issues, you significantly enhance your AWS security posture. It's not about perfection, but continuous improvement. When's the last time you audited your AWS environment?

Cloud Security Isn’t a Feature—It’s a Muscle. Here’s How to Train It in 2024. Last year, an AWS misconfiguration at a Fortune 500 retailer exposed 14M customer records. The culprit? A ‘minor’ S3 bucket oversight their team ‘fixed’ 8 months ago. Spoiler: They hadn’t. During a recent CSPM (Cloud Security Posture Management) audit, we found a client’s Azure Blob Storage was publicly accessible by default for 11 months. Their DevOps team swore they’d locked it down—turns out their CI/CD pipeline silently reverted settings during deployments. Cost of discovery? $458k in compliance fines. Cost of prevention? A 15-line Terraform policy. Modern cloud breaches aren’t about hackers outsmarting you. They’re about teams failing to enforce consistency *across ephemeral environments. Tools like AWS GuardDuty or Azure Defender alone won’t save you. Why? 73% of cloud breaches trace to* misconfigurations teams already knew about *(Gartner 2024) Serverless/IaC adoption has made drift detection 23x harder than in 2020* Proactive Steps (2025 Edition): 1️⃣ Embed Security in IaC Templates Use Open Policy Agent (OPA) to bake guardrails into Terraform/CloudFormation Example: Block deployments if S3 buckets lack versioning + encryption 2️⃣ Automate ‘Drift’ Hunting Tools like Wiz or Orca Security now map multi-cloud assets in real-time Pro tip: Schedule weekly “drift reports” showing config changes against your golden baseline 3️⃣ Shift Left, Then Shift Again GitHub Advanced Security + GitLab Secret Detection now scan IaC pre-merge Case study: A fintech client blocked 62% of misconfigs by requiring devs to fix security warnings before code review 4️⃣ Simulate Cloud Attacks Run breach scenarios using tools like MITRE ATT&CK® Cloud Matrix Latest trend: Red teams exploit over-permissive Lambda roles to pivot between AWS accounts The Brutal Truth: Your cloud is only as secure as your least disciplined deployment pipeline. When tools like Lacework or Prisma Cloud flag issues, they’re not alerts—they’re invoices for your security debt. When did ‘We’ll fix it in the next sprint’ become an acceptable cloud security strategy? Drop👇 your #1 IaC security rule or share your worst ‘drift’ horror story.

🛡️ How to Protect Your Business from Cloud Outages The AWS US-EAST-1 outage affected hundreds of services for 20+ hours. Here’s how to ensure your business stays resilient when the cloud fails: 1. Multi-Region Deployment Deploy across multiple AWS regions (US-EAST-1 + US-WEST-2). If one fails, traffic automatically routes to another. 2. Multi-Cloud Strategy Don’t put all eggs in one basket. Distribute critical workloads across AWS, Azure, and GCP. 3. Robust Monitoring Monitor everything. Use third-party tools, not just provider monitoring. Get alerts before customers complain. 4. Graceful Degradation Design systems to operate in reduced capacity mode. If authentication fails, allow cached credentials temporarily. 5. Database Resilience Replicate databases across regions. Test your failover regularly — untested backups are just hopes. 6. DNS Redundancy Use multiple DNS providers. DNS failures were a root cause of this outage. 7. Disaster Recovery Plan Document runbooks, define RTOs/RPOs, and conduct regular DR drills. Can you restore your app in a different region in under 1 hour? 8. Map Dependencies Know what depends on what. If AWS US-EAST-1 went down right now, do you know exactly what would break? 9. Status Page Keep customers informed during outages. Transparency builds trust. 10. Start Small You don’t need everything at once. Start with: • Dependency mapping • Monitoring & alerting• One backup region for critical services • Test your DR plan Final Thought 💭 The AWS outage reminded us that the cloud is not infallible. No matter how reliable your provider claims to be (AWS has 99.99% uptime SLA), outages will happen. The question isn’t if the next outage will occur, but when — and whether your business will be ready. What’s your organization doing to prepare for cloud outages? Share your strategies in the comments! 👇 #CloudComputing #AWS #DisasterRecovery #BusinessContinuity #DevOps #CloudResilience #SRE #TechStrategy #Infrastructure

DevOps & SRE Perspective: Lessons from the Amazon Web Services US-East-1 Outage ! 1. Outage context • AWS reported “increased error rates and latencies for multiple AWS Services in the US-EAST-1 Region,” later identifying issues around the Amazon DynamoDB API endpoint and DNS resolution as the likely root cause. • The region is a critical hub for many global workloads — meaning any failure has broad impact. • From the trenches: “Just got woken up to multiple pages. No services are loading in east-1, can’t see any of my resources. Getting alerts lambdas are failing, etc.” 2. What this means for SRE/DevOps teams • Single-region risk: Relying heavily on one region (or one availability zone) is a brittle strategy. Global services, control planes, identity/auth systems often converge here — so when it fails, the blast radius is massive. • DNS and foundational services matter: It’s not always the compute layer that fails first. DNS, global system endpoints, shared services (like DynamoDB, IAM) can be the weak link. • Cascading dependencies: A failure in one service can ripple through many others. E.g., if control-plane endpoints are impacted, your fail-over mechanisms may not even activate. • Recovery ≠ full resolution: Even after the main fault is resolved, backlogs, latencies, and unknown state issues persist. Teams need to monitor until steady state is confirmed. 3. Practical take-aways & actions •Adopt a multi-region / multi-AZ fallback strategy: Ensure critical workloads can shift automatically (or manually) to secondary regions or providers. •Architect global state & control plane resilience: Make sure services like IAM, identity auth, configuration, and global databases don’t concentrate in one point of failure. •Simulate DNS failures and control-plane failures in chaos testing: Practice what happens when DNS fails, when endpoint resolution slows, when the control plane is unreachable. •Improve monitoring + alerting on “meta-services”: Don’t just monitor your app metrics—watch DNS latency/resolve errors, endpoint access times, control-plane API errors. •Communicate clearly during incidents: Transparency and frequent updates matter. Teams downstream depend on accurate context. •Expect eventual consistency & backlog states post-recovery: After the main fix, watch for delayed processing, stuck queues, prolonged latencies, and reconcile state when needed. 4. Final thought This outage is a stark reminder: being cloud-native doesn’t eliminate infrastructure risk — it changes its shape. As practitioners in DevOps and SRE, our job isn’t just to prevent failure (impossible) but to anticipate, survive, and recover effectively. Let’s use this as an impetus to elevate our game, architect with failure in mind, and build systems that fail gracefully. #DevOps #SRE #CloudReliability #AWS #Outage #IncidentManagement #Resilience

Last month’s massive outage in AWS US East 1 was a reminder of something we all know but rarely act on: regions fail. Services disappear. Control planes become unreachable. And when that happens, most systems discover, too late, that their ingestion, indexing, or materialized view pipelines were never built for real world failure modes. Every Mach5 Software, Inc. customer has at least one deployment in US East 1. Not a single one experienced 𝗱𝗮𝘁𝗮 𝗹𝗼𝘀𝘀 during the outage. That was not luck. It was the result of two design decisions we made very early on, and I think they represent principles every modern data system should adopt. 𝟭. 𝗗𝘂𝗿𝗮𝗯𝗹𝗲 𝗱𝗮𝘁𝗮 𝗺𝘂𝘀𝘁 𝗹𝗶𝘃𝗲 𝗶𝗻 𝗼𝗯𝗷𝗲𝗰𝘁 𝘀𝘁𝗼𝗿𝗮𝗴𝗲, 𝗻𝗼𝘁 𝗲𝗽𝗵𝗲𝗺𝗲𝗿𝗮𝗹 𝗰𝗼𝗺𝗽𝘂𝘁𝗲. All indexed data, segments, and commit records in Mach5 are stored directly in object storage. Even when S3 itself became temporarily unavailable, the invariant held: once data is written and acknowledged, it stays written. Local disks, caches, or in-cluster replicas cannot make that guarantee under regional disruption. Object storage can. 𝟮. 𝗜𝗻𝗴𝗲𝘀𝘁𝗶𝗼𝗻 𝘀𝘁𝗮𝘁𝗲 𝗮𝗻𝗱 𝗱𝗮𝘁𝗮 𝗰𝗼𝗺𝗺𝗶𝘁𝘀 𝗺𝘂𝘀𝘁 𝗯𝗲 𝗮𝘁𝗼𝗺𝗶𝗰. Our transaction protocol commits two things together: • the data you just indexed • the exact source tracking state used to produce it This gives you 𝗲𝘅𝗮𝗰𝘁𝗹𝘆 𝗼𝗻𝗰𝗲 𝗶𝗻𝗴𝗲𝘀𝘁𝗶𝗼𝗻 and 𝗳𝘂𝗹𝗹𝘆 𝗿𝗲𝗰𝗼𝘃𝗲𝗿𝗮𝗯𝗹𝗲 𝗺𝗮𝘁𝗲𝗿𝗶𝗮𝗹𝗶𝘇𝗲𝗱 𝘃𝗶𝗲𝘄𝘀, even when ingestion pipelines crash mid flow or an entire region stalls. After the outage, deployments simply resumed from the last committed point with no duplicates, no gaps, and no drift between indexed data and source. Cloud reliability is not about avoiding outages. It is about engineering systems that remain correct when outages happen. If you are building a modern data platform, whether search, analytics, pipelines, or warehousing, two principles matter more than any other: • Use object storage as the source of truth. • Treat data and ingestion metadata as a single atomic unit. We learned these lessons the hard way, long before Mach5 existed. I am glad we built them into the system from day one. If you want to dive deeper into the mechanics, happy to share more.

Outages should be viewed as indicators of stress within a business model rather than simple glitches. Recent incidents, such as the Amazon Web Services (AWS) DNS failure and Vodafone’s UK outage, highlight a critical issue: many so-called "resilient" architectures may actually function as single points of failure, despite appearing to have multi-cloud alternatives. If an Industry 4.0 operation relies on only one cloud region, DNS path, or vendor control plane, true resilience is lacking, and reliance on fortunate circumstances may be the case. Addressing this requires a shift towards designing systems that anticipate failure. Strategies may include prioritizing local-edge operation technology (OT) to maintain essential functions, employing active-active configurations across multiple regions and providers, ensuring diverse peering and identity paths, utilizing dual-carrier connectivity, and implementing private 5G networks for reliable control. Regulatory bodies such as DORA, NIS2, and UK Operational Resilience will likely seek concrete evidence of resilience rather than presentations. While achieving true resilience involves costs, it is important to consider that unplanned downtime can result in significant financial losses and damage customer trust. Recommended practices include conducting regular “Failure Day” exercises, mapping third-party dependencies down to the API level, and revising key performance indicators (KPIs) from uptime to fault tolerance. This approach can help ensure that, in the event of disruptions in systems like us-east-1, operational capabilities remain intact and financial performance is protected. At #BellLabsConsulting we have a full methodology to prevent events such as these, but also have a faster response when they happen.

Yesterday's AWS outage underscored the critical need for a resilient infrastructure. Stressing the importance of a multi-region setup, here's a comprehensive guide: 1. Select Regions: Identify AWS regions aligning with business requirements; AWS offers diverse regions worldwide. 2. AWS Global Services: Leverage services like Amazon S3 and DynamoDB for automatic data and service replication across regions. 3. VPC Peering: Establish secure VPC peering connections between VPCs in different regions, facilitating communication. 4. Load Balancing: Employ AWS Global Accelerator or Route 53 to distribute traffic across regions, enhancing application availability. 5. Data Replication: Implement mechanisms, such as AWS Database Migration Service (DMS), for synchronized databases and storage across regions. 6. Cross-Region Read Replicas: Consider setting up read replicas in different regions for services like Amazon RDS to enhance performance. 7. Multi-Region AMIs: Ensure availability of Amazon Machine Images (AMIs) for EC2 instances in desired regions. 8. Global Accelerator: Use AWS Global Accelerator to deploy applications globally, directing traffic based on health, geography, and routing policies. 9. Backup and Disaster Recovery: Establish a robust strategy involving snapshotting data and storing backups in multiple regions. 10. Monitoring and Logging: Utilize AWS CloudWatch and CloudTrail for comprehensive monitoring and logging, ensuring visibility into resource performance across regions. It's crucial to note that a multi-region setup introduces complexities and costs, necessitating careful planning based on specific needs and business requirements. #AWSOutage #MultiRegionArchitecture #CloudResilience #aws #DevOps #Cloud #CloudComputing