Opcito Technologies’ Post

With #RSAC approaching, discover how we helped a supply chain and logistics giant easily monitor & gain insights into their Google Kubernetes Engine for enhanced security. Read more: https://lnkd.in/dW8f-S8G #RSAC2024 #RSAConference #GKE

Accelerate security automation using Amazon CodeWhisperer

See how CAST AI’s Kubernetes Security Posture Management solution takes the lead in Kubernetes security with automated, real-time fixes. https://lnkd.in/eV8taC5E - DevOps Automation: CAST AI's core focus is on automating DevOps tasks. - AI Engine for Kubernetes Optimization: We developed an AI engine to optimize Kubernetes applications by selecting the best resources for efficiency and performance. - Enterprise Adoption: A significant number of Fortune 500 companies have adopted the platform to manage their cloud-native applications. - Beyond Monitoring: Unlike traditional monitoring tools, CAST AI actively fixes inefficiencies in real-time, enhancing both performance and cost-effectiveness. - Kubernetes Security Automation: CAST AI launched a security solution that identifies and fixes Kubernetes security issues, unlike other tools that only report vulnerabilities. - Efficiency and Security Integration: The same AI engine that optimizes cloud efficiency now enhances security by automating patches and anomaly detection.

☕️ 🫖 📺 CAST AI on TFiR with Swapnil Bhartiya and Laurent Gil. They are speaking about : 📺 DevOps Automation: CAST AI's core focus is on automating DevOps tasks. 📺 AI Engine for Kubernetes Optimization: We developed an AI engine to optimize Kubernetes applications by selecting the best resources for efficiency and performance. 📺 Enterprise Adoption: A significant number of Fortune 500 companies have adopted the platform to manage their cloud-native applications. 📺 Beyond Monitoring: Unlike traditional monitoring tools, CAST AI actively fixes inefficiencies in real-time, enhancing both performance and cost-effectiveness. 📺 Kubernetes Security Automation: CAST AI launched a security solution that identifies and fixes Kubernetes security issues, unlike other tools that only report vulnerabilities. 📺 Efficiency and Security Integration: The same AI engine that optimizes cloud efficiency now enhances security by automating patches and anomaly detection. 👇 https://lnkd.in/dUwbNQq7 #Kubernetes #AutonomousKubernetes #k8s #Devops #FinOps #GenAI Microsoft Azure #AKS Amazon Web Services (AWS) #EKS Google #GKE #ai #aiautomation #costoptimization #CloudWaste #CloudAutomation #CloudNative #Cloud #kubernetes #LargeLanguageModels #LLM #GPU #InfrastructureAsCode

🚀 Just launched: A blog post about the OpenTofu 1.7.0 pre-release! 🚀 Post highlights: - 📥 Easy download instructions for the preview release - 🔒 Dive into state encryption - 🚧 Master the removed block - 🛠️ Unveil new built-in functions - ⌨️ Navigate CLI updates 🔗 Full insights: https://lnkd.in/diW6c3wH  🤗 We're on the lookout for superheroes to test drive this pre-release! Give it a whirl, and share your feedback https://lnkd.in/dFYK_wxA. Good or bad, we want to hear it all! #OpenTofu #DevOps #OpenSource 

In the rapidly evolving world of microservices, maintaining robust and scalable systems is more critical than ever. One often underappreciated hero in this realm is the rate limiter. 🌟 🔍 What is a Rate Limiter?  A rate limiter is a tool that controls the amount of incoming requests to a service within a given time frame. It’s like a traffic cop for your APIs, ensuring that they don’t get overwhelmed by too many requests at once. 🔧 Why Does it Matter? Prevent Overload: By limiting the number of requests, rate limiters protect your services from being swamped, which can lead to slowdowns or crashes. Improve Reliability: They help in maintaining service quality and ensuring that legitimate requests get processed efficiently. Enhance Security: Rate limiting can act as a first line of defense against abuse and malicious attacks, such as denial-of-service (DoS) attacks. 🌐 Real-World Applications: E-Commerce Platforms: Handling peak traffic during sales events. Financial Services: Safeguarding against abusive transactions or queries. Social Media: Managing interactions and preventing spam. 💡 Best Practices: Dynamic Adjustments: Use adaptive rate limits that can change based on system load. Granular Control: Implement different limits for different types of users or services. Clear Communication: Inform users about rate limits and provide helpful error messages. Integrating a well-designed rate limiter into your microservices architecture isn’t just a technical choice—it’s a strategic one that can significantly enhance your system’s performance and reliability. 🌟 What strategies have you employed to manage request loads in your systems? Share your experiences! 💬👇 #Microservices #RateLimiting #SystemDesign #Scalability #TechStrategy

The key takeaway from this course was: A well-architectured framework structured around 6 pillars: * Operational excellence * Security * Reliability * Performance efficiency * Cost Optimization * Sustainability I found this document (https://lnkd.in/eJkCGfrh) as self-contained security bestpractices the cloud-native application.

A presidential executive order on AI has generated lots of advice from federal agencies, and most of it comes down to security basics. #SDLC #AppSec #DevOps #DevSecOps #Securecodes #Channelpartners

𝗗𝗲𝗰𝗼𝗱𝗶𝗻𝗴 𝘁𝗵𝗲 𝗧𝗲𝗰𝗵 𝗧𝘂𝗿𝗯𝘂𝗹𝗲𝗻𝗰𝗲:BookMyShow ‘s 𝗖𝗼𝗻𝗰𝗲𝗿𝘁 𝗧𝗶𝗰𝗸𝗲𝘁𝗶𝗻𝗴 𝗖𝗵𝗮𝗹𝗹𝗲𝗻𝗴𝗲𝘀 𝗮𝗻𝗱 𝗦𝗼𝗹𝘂𝘁𝗶𝗼𝗻𝘀 The recent #Coldplay concert ticket sale highlighted critical infrastructure challenges for BookMyShow. As millions rushed to secure spots, the platform faced significant disruptions. Here’s a deep dive into the issues and potential solutions: 𝗖𝗵𝗮𝗹𝗹𝗲𝗻𝗴𝗲𝘀 𝗘𝗻𝗰𝗼𝘂𝗻𝘁𝗲𝗿𝗲𝗱: • 𝗦𝗰𝗮𝗹𝗮𝗯𝗶𝗹𝗶𝘁𝘆 𝗕𝗼𝘁𝘁𝗹𝗲𝗻𝗲𝗰𝗸𝘀: The platform struggled with autoscaling inefficiencies under unprecedented load, causing service outages. • 𝗤𝘂𝗲𝘂𝗲 𝗠𝗮𝗻𝗮𝗴𝗲𝗺𝗲𝗻𝘁 𝗙𝗮𝗶𝗹𝘂𝗿𝗲𝘀: Users experienced erratic queue positions due to suboptimal load balancing algorithms. • 𝗦𝗲𝗰𝘂𝗿𝗶𝘁𝘆 𝗩𝘂𝗹𝗻𝗲𝗿𝗮𝗯𝗶𝗹𝗶𝘁𝗶𝗲𝘀: Scalping bots exploited system weaknesses, leading to unfair ticket distribution. 𝗧𝗲𝗰𝗵 𝗦𝗼𝗹𝘂𝘁𝗶𝗼𝗻𝘀: 1. 𝗖𝗹𝗼𝘂𝗱-𝗡𝗮𝘁𝗶𝘃𝗲 𝗦𝗰𝗮𝗹𝗮𝗯𝗶𝗹𝗶𝘁𝘆: • 𝗘𝗹𝗮𝘀𝘁𝗶𝗰 𝗖𝗼𝗺𝗽𝘂𝘁𝗲: Leverage AWS EC2 Auto Scaling with predictive scaling to dynamically adjust computing resources based on real-time demand forecasts. • 𝗦𝗲𝗿𝘃𝗲𝗿𝗹𝗲𝘀𝘀 𝗔𝗿𝗰𝗵𝗶𝘁𝗲𝗰𝘁𝘂𝗿𝗲𝘀: Implement AWS Lambda functions for event-driven processing, reducing latency and improving fault tolerance. 2. 𝗘𝗻𝗵𝗮𝗻𝗰𝗲𝗱 𝗤𝘂𝗲𝘂𝗲 𝗠𝗮𝗻𝗮𝗴𝗲𝗺𝗲𝗻𝘁: • 𝗗𝗶𝘀𝘁𝗿𝗶𝗯𝘂𝘁𝗲𝗱 𝗤𝘂𝗲𝘂𝗶𝗻𝗴 𝗦𝘆𝘀𝘁𝗲𝗺𝘀: Use Apache Kafka for distributed messaging, ensuring robust and scalable queue management across microservices. • 𝗟𝗼𝗮𝗱 𝗕𝗮𝗹𝗮𝗻𝗰𝗶𝗻𝗴 𝗔𝗹𝗴𝗼𝗿𝗶𝘁𝗵𝗺𝘀: Deploy advanced algorithms like Consistent Hashing to evenly distribute traffic and prevent overloads. 3. 𝗦𝗲𝗰𝘂𝗿𝗶𝘁𝘆 𝗙𝗼𝗿𝘁𝗶𝗳𝗶𝗰𝗮𝘁𝗶𝗼𝗻: • 𝗕𝗼𝘁 𝗠𝗶𝘁𝗶𝗴𝗮𝘁𝗶𝗼𝗻 𝗦𝘁𝗿𝗮𝘁𝗲𝗴𝗶𝗲𝘀: Integrate ML-based bot detection systems to identify and block malicious activities in real-time. • 𝗭𝗲𝗿𝗼 𝗧𝗿𝘂𝘀𝘁 𝗔𝗿𝗰𝗵𝗶𝘁𝗲𝗰𝘁𝘂𝗿𝗲: Adopt a zero trust security model, ensuring all access requests are continuously verified and authenticated. By embracing these cutting-edge technologies, platforms like BookMyShow can ensure seamless user experiences even during peak demand periods. #CloudComputing #ScalableInfrastructure #QueueManagement #CyberSecurity #TechInnovation

A presidential executive order on AI has generated lots of advice from federal agencies, and most of it comes down to security basics. #SDLC #AppSec #DevOps #DevSecOps #Securecodes #Channelpartners