How to prevent outages in public sector systems with Datadog

Enterprise IT leaders know this too well: as your business grows, observability costs spiral out of control. Splunk or Datadog bills might have doubled in 18 months. 📈 Vendor lock-in feels impossible to escape. You’re stuck, and budgeting for telemetry has become a financial headache. It's high time you shift to a simplified telemetry pipeline architecture: Data Sources → Smart Processing Layer → Your Choice of Tools. This breaks vendor dependency, optimizes data insight, and ensures zero data loss. The Result? Organizations implementing this strategy report impressive outcomes: ✅ Up to 40% savings on observability costs ✅ 85% reduction in time spent managing telemetry collectors ✅ Full control over data flow and tool choice Go from reactive telemetry spending to strategic control. Ready to reclaim your observability budget now! Read the full blog: 👉 https://lnkd.in/dPbPNPWS #Observability #Telemetry #VendorLockIn

Sensitive data in logs? Help secure it on-premise. In this short video, we show you how Datadog Observability Pipelines helps you: → Spot sensitive data instantly → Redact or hash it with ease → Send only scrubbed logs to external tools This workflow can help you meet compliance requirements while keeping visibility intact. Watch now: https://bit.ly/475Co6s #DataSecurity #SecurityCompliance #LogManagement

Update on NISS latency and upcoming schedule 🔔 The NISS Team deployed NISS v2.7.3 on July 27, 2025. Unfortunately, since the deployment, the system has been experiencing significant latency. We understand that this system latency is impacting your work and productivity, and we sincerely apologize for any inconvenience this is causing. We want to assure you that the NISS Team is actively investigating the root cause of this issue and working diligently to implement a solution as quickly as possible. To mitigate latency issues and optimize the user experience DCSA will be implementing a geographically defined, time-based utilization schedule for NISS. ➡️ Mid-Atlantic/Eastern Region: 0800-1100 EDT ➡️ Central Region: 1000-1300 EDT ➡️ Western and Other Geographic Regions: 1200-1500 EDT These windows are designed to minimize concurrent data processing demands across regional user bases, thereby alleviating potential bottlenecks. We also strongly recommend that computationally intensive data extraction and report generation tasks be scheduled during off-peak hours (evenings). This practice, informed by industry best practices for resource allocation in distributed systems, will significantly reduce system strain and contribute to overall performance stability. We will provide updates on the system status as soon as we have additional information. Please call the Knowledge Center at 667-424-3903 to report any issues. If you are calling to report latency issues, please clearly state that you are reporting a NISS latency issue. This will help us prioritize your report and direct it to the appropriate support team. Thank you for your understanding during this time. For ongoing updates please visit: https://lnkd.in/eychHHZa

September is well under way! That can only mean that we are getting ever closer to the 30th where legacy multi-factor authentication and self-service password reset policies will be deprecated in favour of the new combined authentication methods. It's strongly recommended to take the time to review your current settings and migrate ahead of the deadline on your own terms, Microsoft have even published a helpful automated guide to walk you through the process! If you want to know more about what the process involves check out my blog on the topic! https://lnkd.in/eEDvv5ng

What do 90,000 documents, thousands of monthly case files, and up to 80% labor savings have in common? They were all part of one digital breakthrough. TEKsystems Global Services partnered with a state health assistance office to implement Intelligent Document Processing — clearing massive backlogs, accelerating casework and enabling advanced record search. Now 7,000+ new documents flow through an automated pipeline each month, giving caseworkers back their time and taxpayers a more efficient system. This is how public service scales smarter. Explore the full story: https://bit.ly/4jtj32I

The BBC’s Panorama documentary on KNP Logistics, the Co-op’s breach, and the new Microsoft SharePoint exploit all tell the same story: technical defences alone aren’t enough. Harbor’s view? Recovery must be tested, credential-aware, and truly resilient - not just stored and forgotten. Doing right by data means being ready. Always. Read the latest blog from Sean Pedrosa, Harbor’s Director, Technology Strategy, for his response and practical recovery guidance: https://lnkd.in/eNPSXSfm #CyberResilience #DataProtection #DisasterRecovery

Millions saved. Faster recovery. Stronger defenses. A federal agency leveraged Cohesity for next-generation data resilience, and the payoff was substantial. This isn't just backup; it's a transformation. Learn more: https://lnkd.in/gndEbK4v #CyberResilience #MissionReady

Learn how 70+ companies improved performance, scaled globally, and optimized costs using our fully managed database services. Explore real-world success stories across 10 industries like retail, financial services, and technology. https://google.smh.re/55U3

Are you facing legacy tech problems? Rory explains how to obtain data for effective modernisation. Find out more: https://bit.ly/4fNFH4p #LegacyTechnology #TechTransformation #TechModernisation

**Title: Tiny Tweaks, Big Speed Boosts! 🚀** Did you know small code optimizations can dramatically improve performance? **Fact:** Loop unrolling (reducing loop iterations by processing multiple elements per iteration) and caching frequently accessed data can significantly speed up code. **Example:** Instead of processing one array element at a time in a loop, process four. Or, store the result of a calculation that's used repeatedly instead of recalculating it each time. **Impact:** Faster load times, smoother user experiences, and reduced server costs! #PerformanceOptimization #CodingTips #Efficiency