Nutshell Series

🧩 Azure Load Balancing Services – Feature Comparison

Feature / Service Azure Load Balancer Application Gateway Azure Front Door Traffic Manager
OSI Layer Layer 4 (Transport) Layer 7 (Application) Layer 7 (Application) DNS-based (Layer 7 via DNS)
Scope Regional or Global Regional Global Global
Traffic Type TCP/UDP (non-HTTP/S) HTTP/HTTPS HTTP/HTTPS Any (via DNS redirection)
Protocol Awareness No content inspection URL path, host header, SSL termination URL path, host header, SSL termination, caching DNS-based routing only
Health Probes TCP/HTTP/HTTPS HTTP/HTTPS HTTP/HTTPS DNS endpoint monitoring
Session Affinity Source IP affinity Cookie-based Supported Not supported
Web Application Firewall ❌ βœ… βœ… ❌
SSL Termination ❌ βœ… βœ… ❌
Caching / CDN ❌ ❌ βœ… ❌
Public/Private Support βœ… Both βœ… Both βœ… Public only βœ… Public only
Use Case Internal or external TCP/UDP balancing Secure web apps with custom routing Global web apps with low latency Geo-routing and DNS-based failover
Best For VM-level traffic, AKS, backend services Web apps needing WAF, SSL offload APIs, static content, multi-region apps Multi-region apps needing DNS balancing
Pricing Basic (free), Standard (paid) Standard_v2 / WAF_v2 Standard / Premium Based on DNS queries and monitoring
Nutshell Series

🧩 OSI Model Layers – Complete Overview

Layer Function Key Protocols & Examples
Application (7) Closest to the user; provides network services and interfaces for applications HTTP, FTP, DNS, SMTP, SNMP
Presentation (6) Translates, encrypts, compresses data; ensures machine-independent data formatting SSL/TLS, JPEG, MPEG, ASCII, EBCDIC
Session (5) Manages sessions or connections between applications; handles authentication and synchronization NetBIOS, RPC, PPTP, SAP, SDP
Transport (4) Provides reliable or unreliable data transport with error recovery and flow control TCP, UDP, SCTP, SPX
Network (3) Handles logical addressing and routing between different networks IP (IPv4/IPv6), ICMP, IGMP, IPsec
Data Link (2) Ensures reliable transfer across physical link; handles MAC addressing and framing Ethernet, PPP, ARP, MAC, HDLC, Frame Relay
Physical (1) Transmits raw bitstreams over physical media; defines hardware specs and signal modulation Coaxial cable, RJ45, Fiber optics, Wi-Fi, Bluetooth, Hubs
Nutshell Series

☁️ Cloud Migration Strategies in a Nutshell


Thinking about moving to the cloud? There’s more than one way to get there. Each migration approach has its own pros, cons, and ideal use cases. In this post, we’ll break down six major cloud migration strategies that organizations use to transition smoothly and smartly.


🧱 1. Lift and Shift (Rehost)

Move it as-is. This strategy involves migrating your existing apps to the cloud without any code changes.

  • βœ… Fastest method
  • βœ… No code changes
  • ❌ Doesn’t leverage cloud-native benefits
  • Best for: Legacy apps or fast migrations

πŸ› οΈ 2. Replatform

Tweak a little. Make minor changes to use managed cloud services (like migrating from on-prem SQL Server to Azure SQL Database).

  • βœ… Better performance
  • βœ… Less maintenance
  • ❌ Still not fully cloud-native
  • Best for: Apps needing light optimization

πŸ” 3. Refactor (Re-architect)

Redesign for the cloud. This involves reworking app architecture to use microservices, containers, or serverless technologies.

  • βœ… Maximum scalability and cloud benefits
  • βœ… Future-proof architecture
  • ❌ Higher cost and complexity
  • Best for: Strategic modernization of core systems

πŸ›οΈ 4. Repurchase

Buy new (SaaS). Replace your existing app with a SaaS solution, like moving to Salesforce or Microsoft 365.

  • βœ… Low maintenance
  • βœ… Fastest implementation
  • ❌ Limited customizability
  • Best for: Standard tools like CRM, HR, or Email

πŸ—‘οΈ 5. Retire

Let it go. Identify and decommission apps that are no longer used or necessary.

  • βœ… Saves cost
  • βœ… Reduces system clutter
  • ❌ Risk of dependencies
  • Best for: Obsolete or duplicate applications

⏳ 6. Retain

Keep it on-prem for now. Retain certain applications that are not ready for the cloud due to business or technical constraints.

  • βœ… Safe for sensitive workloads
  • ❌ Misses out on cloud benefits
  • Best for: Apps with regulatory or latency concerns

πŸ“Š Quick Comparison Table

Strategy Code Change Speed Cloud Benefits Best For
Lift & Shift ❌ None 🟒 Fast πŸ”΄ Low Legacy/Quick Wins
Replatform ⚠️ Minor 🟑 Medium 🟑 Partial Light Optimization
Refactor βœ… High πŸ”΄ Slow 🟒 Full Strategic Modernization
Repurchase ❌ None 🟒 Fast 🟒 Full (SaaS) Commodity Tools
Retire ❌ N/A 🟒 Fast πŸ”΄ N/A Unused Systems
Retain ❌ N/A N/A πŸ”΄ None Critical On-Prem Apps
Nutshell Series

Containers vs. Virtual Machines: What’s the Difference?

In the world of virtualization and cloud computing, both containers and virtual machines (VMs) are widely used to run applications efficiently. While they share similarities, they have different architectures, benefits, and use cases. Let’s explore their differences to understand when to use each.

Understanding Containers and VMs

Containers: Lightweight & Agile

Containers provide application-level isolation, using the host operating system’s kernel. They are fast, scalable, and resource-efficient, ideal for microservices and cloud deployments.

Virtual Machines: Full OS Environments

VMs, on the other hand, provide full isolation by running a complete operating system inside a virtualized environment. They are great for strong security boundaries and running multiple OS types on the same hardware.

Comparison Table: Containers vs. Virtual Machines

Feature Virtual Machine (VM) Container
Isolation Provides strong isolation with its own OS kernel. Lightweight isolation, shares host OS kernel.
Operating System Runs a full OS, including the kernel. Runs only user-mode OS components.
Resource Usage Needs more CPU, memory, storage. Uses fewer system resources.
Guest Compatibility Can run any OS (Linux, Windows, etc.). Runs same OS version as the host.
Deployment Managed via Hyper-V, VMware, VirtualBox. Uses Docker, Kubernetes for deployment.
Updates & Upgrades Requires full OS upgrades & manual updates. Easily updated via image rebuild process.
Storage & Networking Uses virtual hard disks (VHDs), private networks. Uses shared storage, network isolation.
Fault Tolerance VM failover restarts the OS on a new server. Containers are recreated instantly by an orchestrator.
Load Balancing Moves VMs to balance workloads. Orchestrators scale containers dynamically.

Which One Should You Use?

Both containers and VMs complement each other. Containers are best for modern, cloud-native applications, while VMs provide stronger security and OS flexibility. In fact, many container deployments run on VMs for enhanced scalability!

Which solution fits your workload best? Containers, VMs, or both? Let’s discuss in the comments! πŸš€

Azure, Errors, Nutshell Series

🚧 Troubleshooting Azure Storage Table Entity Insert Error: Network Rule Blocking Requests


When working with Azure Storage Accounts configured in a private network, you may occasionally face connectivity issues, especially during programmatic operations like inserting entities into a Table Storage. Recently, while inserting a new entity, we encountered the following error:

ERROR: 
The request may be blocked by network rules of storage account. 
Please check network rule set using 
'az storage account show -n accountname --query networkRuleSet'.
If you want to change the default action to apply when no rule matches, 
please use 'az storage account update'.

This error clearly indicates that the network rules on the storage account are blocking the request. Here’s how we debugged and resolved the issue.


πŸ§ͺ Problem Context

Our setup involves:

  • A private endpoint-enabled Azure Storage Account.
  • IP whitelisting done dynamically during the pipeline using GitHub Actions.
  • The following command used to allow the runner’s IP address:
az storage account network-rule add \
  --resource-group ${{ vars.RESOURCEGROUP_NAME }} \
  --account-name ${{ vars.STORAGEACCOUNT_NAME }} \
  --action Allow \
  --ip-address ${{ steps.ip.outputs.ipv4 }} \
  -o none --only-show-errors

Despite successfully executing this command, any immediate operation (like inserting into Table Storage) would fail with the aforementioned error.


πŸ” Root Cause

Azure’s network rule updatesβ€”such as IP whitelistingβ€”are not instantaneous. Even though the az command returns success, the rules can take 5 to 30 seconds to fully propagate across Azure’s networking stack.

This propagation delay means that your request may still be blocked right after whitelisting, resulting in transient errors.


βœ… Resolution

To work around this, we added a short delay after the IP whitelist command before initiating any storage operations. Here’s a sample shell script update:

echo "Whitelisting IP: ${{ steps.ip.outputs.ipv4 }}"
az storage account network-rule add \
  --resource-group ${{ vars.RESOURCEGROUP_NAME }} \
  --account-name ${{ vars.STORAGEACCOUNT_NAME }} \
  --action Allow \
  --ip-address ${{ steps.ip.outputs.ipv4 }} \
  -o none --only-show-errors

echo "Waiting for network rule to propagate..."
sleep 30  # Adjust between 5-30 seconds based on testing

# Now perform the table insert operation

πŸ’‘ Pro Tips

  • Use retries: If you’re automating this via scripts or CI/CD pipelines, consider implementing a retry mechanism instead of a fixed sleep.
  • Log current rules: Use the following command to verify if the IP is indeed whitelisted:
    az storage account show -n <account-name> --query networkRuleSet.ipRules
  • Audit Logs: Check Azure Activity Logs for insights into rule application times.

🧾 Conclusion

When dealing with Azure Storage Accounts in a private network, remember that network rule changes aren’t immediate. Always plan for a short delay or retry logic to handle propagation time. This small adjustment can save hours of confusion and debugging.

Nutshell Series

5 Famous Laws That Offer Life Lessons for Better Living βœ¨

In a world full of chaos and decision-making, there are a few timeless lawsβ€”some humorous, some philosophicalβ€”that offer surprising clarity and guidance. These famous principles, though not necessarily written in a constitution or passed in court, have earned a respected place in both professional and personal spaces. Let’s dive into five such “laws” that continue to shape how we think, act, and succeed. πŸš€

1. Murphy’s Law 😬

β€œAnything that can go wrong, will go wrong.”

This famously pessimistic law serves as a humble reminder that life doesn’t always go as planned. While it may sound discouraging, Murphy’s Law teaches us the importance of being prepared. 🧯

2. Kidlin’s Law ✍️

β€œIf you write the problem down clearly, then the matter is half solved.”

Clarity is power. πŸ’‘ Often, we’re overwhelmed not by the problem itself, but by its vague nature. By defining and articulating the issue, Kidlin’s Law reminds us that solutions start to unfold naturally. 🧠

3. Gilbert’s Law πŸ› οΈ

β€œWhen you take on a task, finding the best way to achieve the desired result is always your responsibility.”

This law emphasizes ownership and mindful execution. 🎯 It’s about doing things with focus and integrity, pursuing results without burnout. πŸ•ŠοΈ

4. Wilson’s Law πŸ“š

β€œIf you prioritize knowledge and intelligence, money will continue to come.”

Invest in your mind, and the rewards will follow. πŸ’Έ Wilson’s Law reminds us that wisdom and growth pave the most sustainable paths to success. 🌱

5. Falkland’s Law πŸ€”

β€œIf you don’t have to make a decision about something, then don’t decide.”

This principle teaches that not every decision is necessary. πŸ§˜β€β™‚οΈ Avoiding mental clutter can lead to better focus and less stress. 🧭

Final Thoughts πŸ’­

These five laws are more than catchy quotesβ€”they are guiding lights in uncertain times. 🌟 Whether you’re managing a business, building your career, or navigating personal challenges, remembering these principles can give you clarity, resilience, and peace of mind. πŸ§˜β€β™€οΈ

Which of these laws speaks to you the most? Have one of your own? Share it in the comments! πŸ’¬πŸ‘‡

Nutshell Series

.NET Framework vs .NET Core: Key Differences

.NET Framework and .NET Core differ significantly in architecture, deployment, performance, and their support for modern development needs. Below is a detailed comparison covering both high-level and low-level aspects.

Key Differences

Feature .NET Framework .NET Core
Platform Support Windows only Cross-platform (Windows, Linux, macOS)
Performance Moderate due to legacy architecture Optimized for high performance with Just-In-Time (JIT) and Ahead-Of-Time (AOT) compilation improvements
Deployment Requires installation of .NET Framework on the system Can be deployed as a self-contained application without requiring .NET installation
Microservices Support Limited support due to monolithic architecture Designed for microservices with built-in support for containerization (Docker, Kubernetes)
Future Development No longer actively developed (last version .NET Framework 4.8) Actively maintained, evolved into .NET 8+
Runtime CLR (Common Language Runtime) with Just-In-Time (JIT) compilation CoreCLR with improved JIT and support for Ahead-Of-Time (AOT) compilation
APIs & Libraries Includes older Windows-specific APIs (e.g., WCF, Web Forms, Windows Workflow Foundation) Uses .NET Standard libraries and modern APIs with broader compatibility
Development Model Traditional Windows development with limited DevOps support Supports modern DevOps practices, CI/CD pipelines, and cloud-native applications

Low-Level Differences

  • Garbage Collection: .NET Core has an improved garbage collection mechanism, including low-latency GC modes suitable for high-performance applications.
  • Memory Management: .NET Core optimizes memory usage with Span and ValueTask to reduce allocations and improve efficiency.
  • Networking: .NET Core provides an enhanced networking stack with HTTP/2 support, asynchronous programming improvements, and lower latency.
  • Security Model: .NET Core follows a more modular security model with built-in support for modern authentication protocols (OAuth, OpenID Connect).
  • Threading and Concurrency: .NET Core enhances parallel processing with features like System.Threading.Channels and Task-based asynchronous patterns.

The choice between .NET Framework and .NET Core depends on your needs. If you’re maintaining legacy applications that rely on Windows-specific features, .NET Framework is suitable. However, for new, scalable, high-performance applications, .NET Core (or .NET 8+) is the best choice.

Nutshell Series

AWS vs Azure vs GCP

AWS (Amazon Web Services) vs Azure (Microsoft) vs GCP (Google Cloud Platform) – A Quick Comparison of the main services

Storage

Service typeDescriptionAWSAzureGCP
Object storageFor storing any files you regularly useSimple Storage Service (S3)Blob StorageCloud Storage Buckets
Archive storageLow cost (but slower) storage for rarely used filesS3 Glacier Instant, Glacier Flexible, Glacier Deep Archive tiersBlob Cool/Cold/Archive tiersCloud Storage Nearline, Coldline, Archive tiers
File storageFor storing files needing hierarchical organizationElastic File System (EFS)FSxAvers vFXTFilesFilestore
Block storageFor storing groups of related filesElastic Block StorageDisk StoragePersistent Disk
Hybrid storageMove files between on-prem & cloudStorage GatewayStorSimpleMigrateStorage Transfer Service
Edge/offline storageMove offline data to the cloudSnowballData BoxTransfer Appliance
BackupPrevent data lossBackupBackupBackup and Disaster Recovery

Database

Service typeDescriptionAWSAzureGCP
Relational DB managementStandard SQL DB (PostgreSQL, MySQL, SQL Server, etc.)Relational Database Service (RDS)AuroraSQLSQL DatabaseCloud SQLCloud Spanner
     
NoSQL: Key-valueRedis-like DBs for semi-structured dataDynamoDBCosmos DBTable storageCloud BigTableFirestore
NoSQL: DocumentMongoDB/CouchDB-like DBs for hierarchical JSON dataDocumentDBCosmos DBFirestoreFirebase Realtime Database
NoSQL: Column storeCassandra/HBase-like DBs for structured hierarchical dataKeyspacesCosmos DBCloud BigTable
NoSQL: GraphNeo4j-like DBs for connected dataNeptuneN/AN/A
CachingRedis/Memcached-like memory for calculationsElastiCacheCache for RedisHPC CacheMemorystore
Time Series DBDB tuned for time series dataTimestreamTime Series InsightsCloud BigTable
BlockchainDogecoin, etc.Managed BlockchainBlockchain ServiceBlockchain WorkbenchConfidential LedgerN/A

Compute

Service typeDescriptionAWSAzureGCP
Virtual machinesSoftware-emulated computersElastic Compute Cloud (EC2)Virtual MachinesCompute Engine
Spot virtual machinesCost-effective VMsEC2 Spot InstancesSpot Virtual MachinesSpot VMs
AutoscalingAdjust resources to match demandEC2 Auto ScalingVirtual Machine Scale SetsInstance Groups
Functions as a service (Serverless computing)Execute code chunks without worrying about infrastructureLambdaFunctionsCloud Functions
Platform as a serviceManage applications without worrying about infrastructureElastic BeanstalkRed Hat OpenShift on AWSApp ServiceCloud ServicesSpring CloudRed Hat OpenShiftApp Engine
Batch schedulingRun code at specified timesBatchBatchBatchCloud Scheduler
Isolated serversVM on your own machine, for high securityDedicated InstancesDedicated HostSole-tenant NodesShielded VMs
On-premise/Edge devicesCloud-services on your own hardwareOutpostsSnow FamilyModular DatacenterStack HubStack HCIStack EdgeN/A
Quantum computingDetermine if cat is alive or deadBraketQuantumN/A

Analytics

Service typeDescriptionAWSAzureGCP
Data WarehouseCentralized platform for all your dataRedShiftSynapse AnalyticsBigQuery
Big data platformRun Spark, Hadoop, Hive, Presto, etc.EMRData ExplorerHDInsightDataproc
Business analyticsDashboards and visualizationQuicksightFinSpacePower BI EmbeddedGraph Data ConnectLookerLooker StudioVertex AI Workbench
Real-time analyticsStreaming data analyticsKinesis Data AnalyticsKinesis Data StreamsManaged Streaming for KafkaStream AnalyticsEvent HubsDataflowPub/SubDatastream
Extract-Transform-Load (ETL)Preprocessing and importing dataGlueKinesis Data FirehoseSageMaker Data WranglerData FactoryData FusionDataflowDataproc,Dataprep by Trifacta
Workflow orchestrationBuild data and model pipelinesData PipelineManaged Workflows for AirflowData FactoryCloud Composer
Data lake creationImport data into a lakeLake FormationData ShareCloud Storage
Managed searchEnterprise searchCloudSearchOpenSearch ServiceKendraCognitive SearchCloud Search
Data CatalogMetadata managementGlue Data CatalogPurviewData ExplorerData Catalog

ML & AI

Service typeDescriptionAWSAzureGCP
Machine LearningTrain, fit, validate, and deploy ML modelsSageMakerMachine LearningVertex AI
Jupyter notebooksWrite data analyses and reportsSageMaker NotebooksNotebooksColab
Data science/machine learning VMVirtual machines tailored to data workDeep Learning AMIsData Science Virtual MachinesDeep Learning VM
AutoMLAutomatically build ML modelsSageMakerMachine Learning Studio,Automated MLVertex AI Workbench
Natural language Processing AIAnalyze text dataComprehendText AnalyticsNatural Language AI
Recommendation AIProduct recommendation enginePersonalizePersonalizerRecommendations AI
Document captureExtract text from printed text & handwritingTextractForm RecognizerDocument AI
Computer visionImage classification, object detection & other AI with image dataRekognitionPanoramaLookout for VisionCognitive Services for VisionVision AI
Speech to textSpeech transcriptionTranscribeCognitive Services for Speech to TextCognitive Services for Speaker RecognitionSpeech-to-Text
Text to speechSpeech generationPollyCognitive Services for Text to SpeechText-to-Speech
Translation AIConvert text between human languagesTranslateCognitive Services for Speech TranslationTranslatorTranslation AI
Video IntelligenceVideo indexing and asset searchRekognition VideoVideo IndexerVideo Intelligence API
AI agentsVirtual assistants and chatbotsLexAlexa Skills kitBot ServiceCognitive Services for Conversational Language UnderstandingDialogflow
Human-in-the-loopHuman-based quality control for AIAugmented AI (A2I)Cognitive Services Content MonitorN/A

Networking & Content Delivery

Service typeDescriptionAWSAzureGCP
Content delivery networkServe content to usersCloudFrontContent Delivery NetworkCloud CDN and Media CDN
Application Programming Interface (API) managementBuild and deploy APIsAPI GatewayAPI AppsAPI ManagementApigee API Management
Domain Name System (DNS)Route end users to applicationsRoute 53DNSCloud DNS
Load balancingDistribute work evenly across machinesElastic Load Balancing (ELB)Application GatewayLoad BalancerTraffic ManagerCloud Load Balancing

Containers

Service typeDescriptionAWSAzureGCP
Managed containersRun and deploy containersElastic Kubernetes ServiceElastic Container ServiceKubernetes ServiceContainer AppsKubernetes Engine
Container registrationManage container imagesElastic Container RegistryContainer RegistryArtifact Registry

Management & Security, Identity

Service typeDescriptionAWSAzureGCP
Access managementUser permissions and authenticationIdentity and Access Management (IAM)Entra IDCloud Identity
Activity trackingTrack user ActivityCloudTrailMonitor Activity LogAccess Transparency and Access Approval
SecurityProtect your data, network and applicationsSecurity HubSecuritySecurity Command Center
MonitoringMonitor network traffic and detect anomaliesCloudWatchTransit Gateway Network ManagerMonitorAnomaly DetectorOperationsNetwork Intelligence Center
AutomationPreform processes automaticallyOpsWorksAutomationCompute Engine Management
Cost optimizationReduce your cloud spendCost OptimizationCost ManagementRecommender

Integration

Feature / ServiceAzure Integration ServicesAWSGCP
Primary Integration ServicesLogic Apps, API Management, Service Bus, Event GridStep Functions, API Gateway, EventBridge, SNS, SQSCloud Functions, Apigee API Management, Pub/Sub, Cloud Tasks
Workflow AutomationLogic AppsStep FunctionsWorkflows
API ManagementAPI ManagementAPI GatewayApigee
Event-Driven ArchitectureEvent GridEventBridgePub/Sub
Messaging & QueuesService BusSQS & SNSCloud Pub/Sub
Serverless FunctionsAzure FunctionsAWS LambdaCloud Functions
Hybrid & On-Premises ConnectivityOn-Premises Data GatewayAWS Direct ConnectCloud Interconnect
B2B & EDI IntegrationIntegration Account for Logic AppsAWS Transfer Family (SFTP, FTPS, FTP)Cloud Storage & Partner Solutions (no native EDI support)
Monitoring & ObservabilityAzure Monitor, Application InsightsAmazon CloudWatch, AWS X-RayCloud Operations (Stackdriver)
Security & ComplianceAzure Security Center, Key VaultAWS IAM, AWS KMS, AWS ShieldGoogle IAM, Security Command Center
Pricing ModelAzure Pricing (Logic Apps per execution, API Management tier-based)AWS Pricing (API Gateway per million requests, Lambda per invocation)GCP Pricing (Cloud Functions per execution, Pub/Sub per message)
Nutshell Series

Troubleshooting SFTP and HTTPS Connectivity from Azure Logic Apps and Function Apps

When working with Azure Logic Apps or Azure Function Apps, you may encounter connectivity issues when integrating with SFTP servers or HTTPS endpoints. This guide provides troubleshooting steps using tnc, tcping, ssh, and openssl commands.

1. Troubleshooting SFTP Connectivity

Step 1: Check Network Connectivity

To ensure that the SFTP server is reachable, use tnc (Test-NetConnection) and tcping:

# Using Test-NetConnection (PowerShell)
tnc <sftp-server> -Port 22

# Using tcping (Command Prompt)
tcping <sftp-server> 22

Common Errors and Fixes:

  • Request timed out / Connection refused: Indicates a firewall or network security group (NSG) restriction. Investigate network configurations.
  • No route to host: The destination might be unreachable due to VPN, VNET, or firewall restrictions.

Step 2: Test SFTP Authentication and Encryption

To verify authentication and encryption mechanisms, use SSH in verbose mode:

ssh -o BatchMode=yes -v -p 22 <sftp-server>

Common Errors and Fixes:

  • Permission denied (publickey, password): Verify credentials and authentication methods.
  • Cipher exchange errors: Indicates firewall or network-related issues; check NSG rules and firewall settings.
  • No response from the server: Indicates possible blocking due to outbound restrictions from Logic Apps or Function Apps.

2. Troubleshooting HTTPS Connectivity

Step 1: Check Network Connectivity

Use tnc and tcping to check if the HTTPS endpoint is accessible:

# Using Test-NetConnection (PowerShell)
tnc <https-server> -Port 443

# Using tcping (Command Prompt)
tcping <https-server> 443

Common Errors and Fixes:

  • Connection refused / Request timed out: Indicates network issues such as NSG rules blocking outbound connections.
  • No response from server: Could be due to incorrect routing or firewall policies.

Step 2: Verify SSL/TLS Handshake and Certificate

Use OpenSSL to test TLS handshake and certificate validation:

openssl s_client -connect <https-server>:443

Common Errors and Fixes:

  • Unable to verify certificate: The SSL certificate might be missing or untrusted; check if the certificate is valid and trusted by Azure.
  • TLS handshake failure: Possible cause is a mismatch in TLS versions; ensure that Logic Apps and Function Apps support the required TLS version (1.2+ recommended).
  • Certificate not getting downloaded: Likely a firewall or network issue; investigate NSG, firewall, and VNET settings.
Nutshell Series

The environment block used to start a process can not be longer than 65535 bytes” in Azure Logic Apps

When working with Azure Logic Apps/ Function Apps/ App Service, you might encounter the following error:

“The environment block used to start a process cannot be longer than 65535 bytes. Your environment block is 85754 bytes long. Remove some environment variables and try again.”

This happens because **Azure app settings** are stored as **environment variables**, and Windows enforces a strict 65,535-byte limit on the total size of these variables. If the combined size exceeds this limit, the process fails to start.

Why Does This Happen?

In Azure Logic Apps, this issue typically arises due to:

  • Too many app settings defined in the configuration.
  • Very large values stored in app settings.
  • App settings with Azure Key Vault references, where the **size of the actual secret value** also contributes to the total environment block size.
  • Dependencies (e.g., SDKs, connectors) adding long **environment variables** automatically.

Even though Key Vault references are intended to keep secrets secure, the **retrieved secret value** is still counted towards the **app setting size**, potentially leading to this issue.

How to Fix It

1. Identify Large App Settings

To check the total size of app settings in Azure:

  • Go to the Azure Portal.
  • Navigate to your Logic App β†’ Configuration.
  • Review the app settings listed under the Application settings tab.

If you are using Key Vault references, be aware that the actual **size of the secret value** is included in the environment block.

2. Remove or Reduce Unnecessary App Settings

  • Delete unused app settings that are no longer required.
  • Shorten long values, especially for connection strings, JSON configurations, or large text-based settings.
  • Avoid storing large secrets in Key Vault if they are referenced in app settings, as their size still counts towards the limit.

3. Store Large Data in External Services

  • Use Azure Key Vault with direct API calls instead of app setting references. This prevents secrets from being loaded as environment variables.
  • Use Azure App Configuration for managing configurations separately from app settings.
  • Store large JSON configurations or data-heavy settings in Azure Blob Storage or Cosmos DB.

4. Restart the Logic App

After making changes, restart your Logic App for the new settings to take effect.