Programming Languages For Web Development

REST API Authentication: Securing Your Data in the Modern Web In today's interconnected world, REST APIs form the backbone of countless applications and services. But with great power comes great responsibility - especially when it comes to security. Let's dive deep into four crucial authentication methods for REST APIs: 1. Basic Authentication:    • The simplest form, sending base64-encoded username and password with each request.    • Pros: Easy to implement, widely supported.    • Cons: Credentials sent with every call, vulnerable if not used with HTTPS.    • Best for: Internal APIs or dev environments, not recommended for production. 2. Token Authentication:    • Uses temporary tokens instead of credentials for each request.    • Workflow: Client authenticates once, receives a token, uses it for subsequent requests.    • Pros: More secure than Basic Auth, tokens can be revoked, reduced load on server.    • Cons: Requires token management, potential security risks if tokens are compromised.    • Best for: Most web and mobile applications, Single Page Applications (SPAs). 3. OAuth Authentication:    • Allows third-party applications to access resources without sharing passwords.    • Complex workflow involving multiple steps: request, grant, access token, refresh token.    • Pros: Highly secure, great for third-party integrations, fine-grained access control.    • Cons: Complex to implement, overkill for simple APIs.    • Best for: APIs that need to integrate with multiple services or allow third-party access. 4. API Key Authentication:    • Uses a unique key to identify and authenticate API requests.    • Simple workflow: Client includes the API key in headers or query parameters.    • Pros: Easy to implement and use, good for tracking API usage.    • Cons: Less secure if keys are exposed, limited in terms of access control.    • Best for: Public APIs, developer-focused services, or when you need to track API usage. Choosing the right authentication method depends on your specific use case, security requirements, and target audience. Many modern applications use a combination of these methods for different scenarios. Key Takeaways: • Always use HTTPS to encrypt data in transit, regardless of the auth method. • Consider the trade-offs between security and ease of use. • Implement proper token/key management and rotation policies. • Stay updated on security best practices and emerging standards. What authentication methods are you using in your projects? Have you faced any challenges implementing them?

Here’s a quick breakdown of Kubernetes deployment strategies you should know — and the trade-offs that come with each. But first — why does this matter? Because deploying isn’t just about pushing new code — it’s about how safely, efficiently, and with what level of risk you roll it out. The right strategy ensures you deliver value without breaking production or disrupting users. Let's dive in: 1. Canary ↳ Gradually route a small percentage of traffic (e.g. 20%) to the new version before a full rollout. ↳ When to use ~ Minimize risk by testing updates in production with real users. Downtime: No Trade-offs: ✅ Safer releases with early detection of issues ❌ Requires additional monitoring, automation, and traffic control ❌ Slower rollout process 2. Blue-Green ↳ Maintain two environments — switch all traffic to the new version after validation. ↳ When to use ~ When you need instant rollback options with zero downtime. Downtime: No Trade-offs: ✅ Instant rollback with traffic switch ✅ Zero downtime ❌ Higher infrastructure cost — duplicate environments ❌ More complex to manage at scale 3. A/B Testing ↳ Split traffic between two versions based on user segments or devices. ↳ When to use ~ For experimenting with features and collecting user feedback. Downtime: Not Applicable Trade-offs: ✅ Direct user insights and data-driven decisions ✅ Controlled experimentation ❌ Complex routing and user segmentation logic ❌ Potential inconsistency in user experience 4. Rolling Update ↳ Gradually replace old pods with new ones, one batch at a time. ↳ When to use ~ To update services continuously without downtime. Downtime: No Trade-offs: ✅ Zero downtime ✅ Simple and native to Kubernetes ❌ Bugs might propagate if monitoring isn’t vigilant ❌ Rollbacks can be slow if an issue emerges late 5. Recreate ↳ Shut down the old version completely before starting the new one. ↳ When to use ~ When your app doesn’t support running multiple versions concurrently. Downtime: Yes Trade-offs: ✅ Simple and clean for small apps ✅ Avoids version conflicts ❌ Service downtime ❌ Risky for production environments needing high availability 6. Shadow ↳ Mirror real user traffic to the new version without exposing it to users. ↳ When to use ~ To test how the new version performs under real workloads. Downtime: No Trade-offs: ✅ Safely validate under real conditions ✅ No impact on end users ❌ Extra resource consumption — running dual workloads ❌ Doesn’t test user interaction or experience directly ❌ Requires sophisticated monitoring Want to dive deeper? I’ll be breaking down each k8s strategy in more detail in the upcoming editions of my newsletter. Subscribe here → tech5ense.com Which strategy do you rely on most often? • • • If you found this useful.. 🔔 Follow me (Vishakha) for more Cloud & DevOps insights ♻️ Share so others can learn as well!

Most developers know we need 𝗛𝗧𝗧𝗣𝗦, but when I ask this question in interviews very few can explain the exact architecture of the 𝗧𝗟𝗦 𝗛𝗮𝗻𝗱𝘀𝗵𝗮𝗸𝗲. This is the backbone of modern web security. THE CORE PROBLEM: 𝗛𝗧𝗧𝗣 (Hyper Text Transfer Protocol) transmits data as plain text. If I send 'password123', anyone sniffing packets sees 'password123'. We need a way to obscure the data without pre-sharing a secret key with every server on earth. Here is the technical flow of 𝗛𝗧𝗧𝗣𝗦 (𝗛𝗧𝗧𝗣 𝗦𝗲𝗰𝘂𝗿𝗲): 𝟭. 𝗦𝗲𝗿𝘃𝗲𝗿 𝗖𝗲𝗿𝘁𝗶𝗳𝗶𝗰𝗮𝘁𝗲 𝗖𝗵𝗲𝗰𝗸 Before any encryption begins, the client (browser) sends a `Client Hello`. The Server responds with a `Server Hello` and its SSL/TLS Certificate. The client validates this certificate against a 𝗖𝗲𝗿𝘁𝗶𝗳𝗶𝗰𝗮𝘁𝗲 𝗔𝘂𝘁𝗵𝗼𝗿𝗶𝘁𝘆 (𝗖𝗔) list stored in the OS/Browser. This prevents Man-in-the-Middle (MITM) attacks. If the certificate is self-signed or the CA isn't trusted, the browser throws the warning we all fear. 𝟮. 𝗧𝗵𝗲 𝗞𝗲𝘆 𝗘𝘅𝗰𝗵𝗮𝗻𝗴𝗲 (𝗔𝘀𝘆𝗺𝗺𝗲𝘁𝗿𝗶𝗰 𝗘𝗻𝗰𝗿𝘆𝗽𝘁𝗶𝗼𝗻) This is where the magic happens. We cannot use Asymmetric Encryption (Public/Private keys) for the whole session because it is computationally expensive and slow. Instead, we use it only to exchange the keys for a faster method: 👍 Cipher Negotiation: The client says, "I support Cipher Suites A, B, C." The Server picks "C". 👍 Session Key Generation: The client creates a random Session Key.  👍 Encapsulation: The client encrypts this Session Key using the Server's 𝗣𝘂𝗯𝗹𝗶𝗰 𝗞𝗲𝘆 (extracted from the certificate). 👍 Decryption: Only the Server (holding the corresponding 𝗣𝗿𝗶𝘃𝗮𝘁𝗲 𝗞𝗲𝘆 can decrypt this message to retrieve the Session Key. 𝟯. 𝗧𝗵𝗲 𝗘𝗻𝗰𝗿𝘆𝗽𝘁𝗲𝗱 𝗧𝘂𝗻𝗻𝗲𝗹 (𝗦𝘆𝗺𝗺𝗲𝘁𝗿𝗶𝗰 𝗘𝗻𝗰𝗿𝘆𝗽𝘁𝗶𝗼𝗻) Now, both parties possess the same Session Key. The handshake is complete. The connection switches to Symmetric Encryption (like AES). This creates the "Green Tunnel" shown in the sketch. Data flows bidirectionally, encrypted and decrypted instantly by the Session Key. This hybrid approach—using Asymmetric encryption to verify identity and share secrets, and Symmetric encryption for speed—balances Security with Latency Understanding this flow helps in debugging connection timeouts, certificate errors, and configuring load balancers properly. Found this helpful? Follow me for more Cloud AI Tech nuggets #SoftwareEngineering #CyberSecurity #WebDevelopment #SystemDesign #HTTPS #TLS

If your site is slow, you’re leaving traffic and revenue on the table. Core Web Vitals are no longer optional. Google has made them a ranking factor, meaning publishers that ignore them risk losing visibility, traffic, and user trust. For those of us working in SEO and digital publishing, the message is clear: speed, stability, and responsiveness directly affect performance. Core Web Vitals focus on three measurable aspects of user experience: → Largest Contentful Paint (LCP): How quickly the main content loads. Target: under 2.5 seconds. → First Input Delay (FID) / Interaction to Next Paint (INP): How quickly the page responds when a user interacts. Target: under 200 milliseconds. → Cumulative Layout Shift (CLS): How visually stable a page is. Target: less than 0.1. These metrics are designed to capture the “real” experience of a visitor, not just what a developer or SEO sees on their end. Why publishers can't ignore CWV in 2025 1. SEO & Trust: Only ~47% of sites pass CWV assessments, presenting a competitive edge for publishers who optimize now. 2. Page performance pays off: A 1-second improvement can boost conversions by ~7% and reduce bounce rates—benefits seen across industries 3. User expectations have tightened: In 2025, anything slower than 3 seconds feels “slow” to most users—under 1 s is becoming the new gold standard, especially on mobile devices. 4. Real-world wins: a. Economic Times cut LCP by 80%, CLS by 250%, and slashed bounce rates by 43%. b. Agrofy improved LCP by 70%, and load abandonment fell from 3.8% to 0.9%. c. Yahoo! JAPAN saw session durations rise 13% and bounce rates drop after CLS fixes. Practical steps for improvement • Measure regularly: Use lab and field data to monitor Core Web Vitals across templates and devices. • Prioritize technical quick wins: Image compression, proper caching, and removing render-blocking scripts can deliver immediate improvements. • Stabilize layouts: Define media dimensions and manage ad slots to reduce layout shifts. • Invest in long-term fixes: Optimizing server response times and modernizing templates can help sustain improvements. Here are the key takeaways ✅ Core Web Vitals are measurable, actionable, and tied directly to SEO performance. ✅ Faster, more stable sites not only rank better but also improve engagement, ad revenue, and subscriptions. ✅ Publishers that treat Core Web Vitals as ongoing maintenance, not one-time fixes will see compounding benefits over time. Have you optimized your site for Core Web Vitals? Share your results and tips in the comments, your insights may help other publishers make meaningful improvements. #SEO #DigitalPublishing #CoreWebVitals #PageSpeed #UserExperience #SearchRanking

𝗗𝗲𝗽𝗹𝗼𝘆𝗺𝗲𝗻𝘁 𝗦𝘁𝗿𝗮𝘁𝗲𝗴𝗶𝗲𝘀 𝗘𝘃𝗲𝗿𝘆 𝗗𝗲𝘃𝗢𝗽𝘀 𝗘𝗻𝗴𝗶𝗻𝗲𝗲𝗿 𝗦𝗵𝗼𝘂𝗹𝗱 𝗞𝗻𝗼𝘄: Deploying applications is not just about running a command, it’s about ensuring users don’t face downtime, and the app stays stable. Here are some common deployment strategies with simple real-life examples to make things clearer: 𝗥𝗲𝗰𝗿𝗲𝗮𝘁𝗲 𝗗𝗲𝗽𝗹𝗼𝘆𝗺𝗲𝗻𝘁 In this approach, you stop the old version completely and then deploy the new one. Example: Think of a shop closing temporarily to put up a new sign. Once the new sign is up, the shop reopens. ✅ Best for internal apps where downtime is acceptable. 𝗥𝗼𝗹𝗹𝗶𝗻𝗴 𝗨𝗽𝗱𝗮𝘁𝗲 The new version is rolled out gradually by replacing instances one at a time. Example: Imagine renovating a hotel one room at a time while keeping the rest of the hotel open. ✅ Ideal for large-scale deployments where you can’t afford downtime. 𝗕𝗹𝘂𝗲-𝗚𝗿𝗲𝗲𝗻 𝗗𝗲𝗽𝗹𝗼𝘆𝗺𝗲𝗻𝘁 You have two environments: Blue (current version) and Green (new version). Once the new version is ready and tested, you switch traffic to Green. Example: Like a theme park opening a new ride while keeping the rest of the park running. Once the new ride is ready, visitors can enjoy it. ✅ Perfect when rollback needs to be quick and seamless. 𝗖𝗮𝗻𝗮𝗿𝘆 𝗗𝗲𝗽𝗹𝗼𝘆𝗺𝗲𝗻𝘁 The new version is first rolled out to a small group of users. If it works well, it’s gradually rolled out to everyone. Example: Like a restaurant offering a new dish to a few loyal customers before adding it to the main menu. ✅ Great for testing in production without affecting all users. 𝗦𝗵𝗮𝗱𝗼𝘄 𝗗𝗲𝗽𝗹𝗼𝘆𝗺𝗲𝗻𝘁 The new version runs alongside the old one, receiving real traffic, but users only see the old version. It helps test performance without user impact. Example: Like a band rehearsing their concert without an audience to ensure everything runs smoothly. ✅ Ideal for performance testing with real traffic. Which one do you use in your projects? Let me know in the comments! 𝙄𝙛 𝙩𝙝𝙞𝙨 𝙥𝙤𝙨𝙩 𝙝𝙚𝙡𝙥𝙚𝙙 𝙮𝙤𝙪, 𝙛𝙚𝙚𝙡 𝙛𝙧𝙚𝙚 𝙩𝙤 𝙧𝙚𝙥𝙤𝙨𝙩 𝙞𝙩. 🙌 And here’s a 𝘀𝘂𝗿𝗽𝗿𝗶𝘀𝗲 😍 – if you’re looking for questions and a platform to test your DevOps knowledge, something really awesome is coming very soon! Stay tuned! #DevOps #DeploymentStrategies #Kubernetes #CICD #CloudNative #Learning

OWASP Practical Guide for Secure MCP Server Development -Provides actionable guidance for securing Model Context Protocol (MCP) servers—the critical connection point between AI assistants and external tools, APIs, and data sources. - Unlike traditional APIs, MCP servers operate with delegated user permissions, dynamic tool-based architectures, and chained tool calls, increasing the potential impact of a single vulnerability. - The guide outlines best practices for secure architecture, strong authentication and authorization, strict validation, session isolation, and hardened deployment. #llms #MCP #security #modelcontextprotocol #servers #authentication #authorization

Common launch mistake: Rolling out new features to ALL customers. Pushing out a new feature to a sizable customer base comes with risks: - Higher support volume if things go south, affecting many. - Lost opportunity to refine the product with a focus group. - Difficulty in rolling back changes in certain cases. That's why products, especially those with huge customer counts, adopt a gradual rollout strategy to mitigate risk. There are multiple options here like: ✔️ Targeted roll-out Selective release to specific users or accounts. ✔️ Future-cohort facing Only new sign-ups get the feature, existing users keep legacy version ✔️ Canary release Test with a small group first, then expand after confirming it's safe. ✔️ Opt-in beta Users voluntarily choose to try new features before official release. ✔️A/B rollout Two different versions released to different groups to compare performance. ✔️Switcher Everyone gets new version by default but can temporarily switch back to old version. ✔️Geo-fenced Features released to specific geographic regions one at a time. Some factors to consider: ✅ User base capabilties How savvy is your user base? How adaptive would they be the change you're rolling out? If you need to ease them over time, think about a switcher or an opt-in beta. ✅ Complexity How complex is the product update and is it in the way of a critical path? If it's a minor update, a universal deployment will suffice. However, you might opt for an opt-in or canary release for more complex changes. ✅ Risk Assessment What's the risk profile of the update? Ex: If it's performance-intensive and could affect server load, consider using a phased release to observe patterns as you open the update upto more users. ✅ Objective Is this a revamped version of an existing product use case? Do you want to experiment which works better? Strategies like canary releases or A/B testing are valuable in this scenario. ✅ Target users Do you have different user behaviors or preferences across markets or geographies of operation? Do certain cohorts make more sense than others? Think about geo-fenced roll-outs (we used to use this a lot at Bayt when launching job seeker features). --- What rollout strategies do you use for your product?

I’ve been a software engineer for the last 14 years, 12 good years out of which I’ve spent as a Frontend developer in various positions at many companies & startups. If I were learning core web fundamentals for a frontend role in 2025, these are the topics I would focus on. 1// 𝗪𝗲𝗯 𝗣𝗲𝗿𝗳𝗼𝗿𝗺𝗮𝗻𝗰𝗲 𝗮𝗻𝗱 𝗢𝗽𝘁𝗶𝗺𝗶𝘀𝗮𝘁𝗶𝗼𝗻   - Core Web Vitals     + Metrics: Largest Contentful Paint (LCP), First Input Delay (FID), Cumulative Layout Shift (CLS)     + Tools: Google Lighthouse, WebPageTest  - Optimising Resource Delivery     + Preloading and Prefetching Strategies     + HTTP/2 Multiplexing  - Optimised Compression Techniques     + Gzip, Brotli Compression     + Minification of JS, CSS  - Optimising Assets     + Lazy Loading Images and Videos     + Efficient Font Loading and Subsetting  - Using Web Workers & Service Workers     + Offloading Tasks with Web Workers     + Caching with Service Workers  --- 2// 𝗖𝗹𝗶𝗲𝗻𝘁-𝗦𝗶𝗱𝗲 𝗦𝘁𝗼𝗿𝗮𝗴𝗲   - Local Storage     + Storing Persistent Key-Value Pairs     + Size Limits and Use Cases  - Session Storage     + Temporary Storage Per Session     + Differences Between Local and Session Storage  - IndexedDB     + Handling Complex Structured Data     + IndexedDB Transactions  - Cache API     + Storing HTTP Responses for Offline Use     + Cache Versioning and Updates  - Cookies     + Secure and HttpOnly Flags     + SameSite Attribute for Security  --- 3// 𝗡𝗲𝘁𝘄𝗼𝗿𝗸 𝗥𝗲𝗾𝘂𝗲𝘀𝘁𝘀   - Fetch API     + Promise-Based Data Fetching     + Handling Errors with Fetch  - Abort Controller     + Cancelling Ongoing Network Requests     + Timeout Implementations  - CORS (Cross-Origin Resource Sharing)     + Preflight Requests and Response Headers     + Configuring Access-Control-Allow-Origin  - Short Polling & Long Polling     + Real-Time Updates with Polling     + Managing Latency Issues  - Web Sockets     + Bi-Directional Communication     + WebSocket Handshake Protocol  - Server-Sent Events (SSE)     + One-Way Streaming from Server to Client     + Managing EventSource  - REST APIs     + CRUD Operations with REST     + Endpoint Design Principles  - HTTP Headers     + Cache-Control and Expires Headers     + Custom Headers for Authentication  --- 4// 𝗪𝗲𝗯 𝗦𝗲𝗰𝘂𝗿𝗶𝘁𝘆   - Cross-Site Scripting (XSS)     + Input Sanitization Techniques     + Using Content Security Policy (CSP)  - Cross-Site Request Forgery (CSRF)     + CSRF Tokens     + SameSite Cookies  - Man-in-the-Middle Attacks (MITM)     + HTTPS and SSL/TLS Encryption     + Certificate Pinning  - CORS     + Preflight Requests and Security Implications     + Whitelisting Trusted Domains  - Content Security Policy (CSP)     + Defining CSP Headers     + Blocking Inline Scripts and Styles  - Security Headers     + Strict-Transport-Security (HSTS)     + X-Frame-Options  Continued in Comments ↓

Many APIs feel lightning-fast in development. ⚡ But the moment real traffic hits production, slow responses, database strain, and higher costs start creeping in. 🐢💸 The truth: better performance isn’t about throwing more servers at the problem. 🏗️ It’s about applying a few architectural patterns that make a huge difference. 💡 Here are 5 techniques that consistently improve API performance. 👇🏻 1️⃣ Pagination Return data in pages instead of dumping thousands of records at once. Example: GET /users?page=1&size=20 Why it matters: Smaller payloads 📦 Faster responses ⏱️ Less memory pressure on servers 💻 2️⃣ Async Logging Writing logs synchronously can silently kill performance. Better: buffer logs in memory and flush asynchronously. Benefits: Lower request latency 🚀 Higher throughput 📈 Less blocking in your app 🛠️ 3️⃣ Caching Not every request needs a trip to the database. Store frequently accessed data in Redis or similar. Flow: cache → DB on miss → update cache Benefits: Faster responses ⚡ Reduced DB load 🏋️♂️ Better scalability 🌐 4️⃣ Payload Compression Large JSON responses increase network latency. Compress with gzip or brotli. Benefits: Faster downloads 💨 Reduced bandwidth usage 📉 Better mobile performance 📱 5️⃣ Connection Pooling Opening a DB connection for every request is expensive. Reuse connections via a pool. Benefits: Faster database access ⏱️ Lower overhead 🔧 Stable performance under load 🌊 Final thought: Small, deliberate improvements in architecture — caching, pagination, compression, connection pooling — often outperform simply adding more servers. 🚀 Better architecture = faster, more reliable APIs. 🏆 #APIPerformance #WebDevelopment #SoftwareEngineering #BackendDevelopment #Scalability #Caching #DatabaseTips #TechArchitecture #DeveloperTips #PerformanceOptimization

𝗪𝗵𝗮𝘁 𝗮𝗿𝗲 𝗕𝗹𝘂𝗲-𝗚𝗿𝗲𝗲𝗻 𝗗𝗲𝗽𝗹𝗼𝘆𝗺𝗲𝗻𝘁𝘀? Deployment strategies are essential in constantly delivering new features. One such strategy that has gained popularity for its ability to reduce downtime and risk is the Blue-Green Deployment, today's de facto standard. We have run two similar environments simultaneously, lowering risk and downtime. These environments are referred to as blue and green. Only one of the environments is active at any given moment. A router or load balancer that aids in traffic control is used in a blue-green implementation. The blue/green deployment also provides a quick means of performing a rollback. We switch the router back to the blue environment if anything goes wrong in the green environment. How can we use it? 𝟭. 𝗦𝗲𝘁 𝘂𝗽 𝘁𝘄𝗼 𝗶𝗱𝗲𝗻𝘁𝗶𝗰𝗮𝗹 𝗲𝗻𝘃𝗶𝗿𝗼𝗻𝗺𝗲𝗻𝘁𝘀: You have two production environments, Blue and Green, which are exact replicas regarding hardware, software, and configurations. 𝟮. 𝗗𝗲𝗰𝗶𝗱𝗲 𝗼𝗻 𝘁𝗵𝗲 𝗰𝘂𝗿𝗿𝗲𝗻𝘁 𝗽𝗿𝗼𝗱𝘂𝗰𝘁𝗶𝗼𝗻 𝗲𝗻𝘃𝗶𝗿𝗼𝗻𝗺𝗲𝗻𝘁: Let's assume the Blue environment is live and handling all the production traffic. 𝟯. 𝗗𝗲𝗽𝗹𝗼𝘆 𝘁𝗼 𝘁𝗵𝗲 𝗶𝗱𝗹𝗲 𝗲𝗻𝘃𝗶𝗿𝗼𝗻𝗺𝗲𝗻𝘁: Deploy the new version of your application to the idle environment—the Green environment in this case. 𝟰. 𝗧𝗲𝘀𝘁𝗶𝗻𝗴: Conduct thorough testing in the Green environment to ensure the new version functions correctly. This can include automated tests, performance tests, user acceptance tests, or A/B testing. 𝟱. 𝗦𝘄𝗶𝘁𝗰𝗵 𝘁𝗿𝗮𝗳𝗳𝗶𝗰: Once satisfied with the new version, you switch the production traffic from the Blue to the Green environment. This switch is usually performed at the load balancer or router level. 𝟲. 𝗠𝗼𝗻𝗶𝘁𝗼𝗿: After the switch, closely monitor the Green environment for any issues or anomalies. 𝟳. 𝗙𝗮𝗹𝗹𝗯𝗮𝗰𝗸 𝗽𝗹𝗮𝗻: If critical issues are detected, you can quickly revert traffic to the Blue environment, as it remains untouched and serves as a backup. 𝟴. 𝗥𝗲𝗽𝗲𝗮𝘁 𝘁𝗵𝗲 𝗽𝗿𝗼𝗰𝗲𝘀𝘀: For the next deployment, the roles reverse. The Green environment becomes the live environment, and the Blue environment becomes the staging area. Blue-Green deployments enable zero downtime deployments and quick rolls if needed. This allows us to reduce the risk of unexpected issues in the live system. Nothing goes without a drawback, and so do Blue-Green deployments. Maintaining two identical environments can be costly in terms of infrastructure, and keeping databases and data stores in sync between environments can be complex, especially for stateful applications. We should use Blue-Green deployments when high availability is essential or when we have frequent releases. #technology #softwareengineering #programming #techworldwithmilan #devops