AKS Troubleshooting: Diagnosing Common Azure Kubernetes Problems

AKS Troubleshooting#

AKS problems fall into categories: node pool operations stuck or failed, pods not scheduling, storage not provisioning, authentication broken, and ingress not working. Each has Azure-specific causes that generic Kubernetes debugging will not surface.

Node Pool Stuck in Updating or Failed#

Node pool operations (scaling, upgrading, changing settings) can get stuck. The AKS API reports the pool as “Updating” indefinitely or transitions to “Failed.”

# Check node pool provisioning state
az aks nodepool show \
  --resource-group myapp-rg \
  --cluster-name myapp-aks \
  --name workload \
  --query provisioningState

# Check the activity log for errors
az monitor activity-log list \
  --resource-group myapp-rg \
  --query "[?contains(operationName.value, 'Microsoft.ContainerService')].{op:operationName.value, status:status.value, msg:properties.statusMessage}" \
  --output table

Common causes and fixes:

API Gateway Patterns: Selection, Configuration, and Routing

API Gateway Patterns#

An API gateway sits between clients and your backend services. It handles cross-cutting concerns – authentication, rate limiting, request transformation, routing – so your services do not have to. Choosing the right gateway and configuring it correctly is one of the first decisions in any microservices architecture.

Gateway Responsibilities#

Before selecting a gateway, clarify which responsibilities it should own:

  • Routing – directing requests to the correct backend service based on path, headers, or method.
  • Authentication and authorization – validating tokens, API keys, or certificates before requests reach backends.
  • Rate limiting – protecting backends from traffic spikes and enforcing usage quotas.
  • Request/response transformation – modifying headers, rewriting paths, converting between formats.
  • Load balancing – distributing traffic across service instances.
  • Observability – emitting metrics, logs, and traces for every request that passes through.
  • TLS termination – handling HTTPS so backends can speak plain HTTP internally.

No gateway does everything equally well. The right choice depends on which of these responsibilities matter most in your environment.

gRPC Security: TLS, mTLS, Authentication Interceptors, and Token-Based Access Control

gRPC Security#

gRPC uses HTTP/2 as its transport, which means TLS is not just a security feature — it is a practical necessity. Many load balancers, proxies, and clients expect HTTP/2 over TLS (h2) rather than plaintext HTTP/2 (h2c). Securing gRPC means configuring TLS correctly, authenticating clients, authorizing RPCs, and handling the gRPC-specific gotchas that do not exist with REST APIs.

gRPC Over TLS#

Server-Side TLS in Go#

import (
    "crypto/tls"
    "google.golang.org/grpc"
    "google.golang.org/grpc/credentials"
)

func main() {
    cert, err := tls.LoadX509KeyPair("server-cert.pem", "server-key.pem")
    if err != nil {
        log.Fatal(err)
    }

    tlsConfig := &tls.Config{
        Certificates: []tls.Certificate{cert},
        MinVersion:   tls.VersionTLS13,
    }

    creds := credentials.NewTLS(tlsConfig)
    server := grpc.NewServer(grpc.Creds(creds))

    pb.RegisterMyServiceServer(server, &myService{})

    lis, _ := net.Listen("tcp", ":50051")
    server.Serve(lis)
}

Client-Side TLS in Go#

import (
    "crypto/x509"
    "google.golang.org/grpc"
    "google.golang.org/grpc/credentials"
)

func main() {
    // For public CAs (Let's Encrypt, etc.), use system cert pool
    creds := credentials.NewTLS(&tls.Config{
        MinVersion: tls.VersionTLS13,
    })

    // For internal CAs, load the CA cert explicitly
    caCert, _ := os.ReadFile("ca-cert.pem")
    certPool := x509.NewCertPool()
    certPool.AppendCertsFromPEM(caCert)
    creds = credentials.NewTLS(&tls.Config{
        RootCAs:    certPool,
        MinVersion: tls.VersionTLS13,
    })

    conn, err := grpc.NewClient("api.internal:50051",
        grpc.WithTransportCredentials(creds),
    )
    defer conn.Close()

    client := pb.NewMyServiceClient(conn)
}

TLS in Python#

import grpc

# Server
server_credentials = grpc.ssl_server_credentials(
    [(open("server-key.pem", "rb").read(), open("server-cert.pem", "rb").read())]
)
server = grpc.server(futures.ThreadPoolExecutor(max_workers=10))
pb_grpc.add_MyServiceServicer_to_server(MyService(), server)
server.add_secure_port("[::]:50051", server_credentials)
server.start()

# Client
ca_cert = open("ca-cert.pem", "rb").read()
channel_credentials = grpc.ssl_channel_credentials(root_certificates=ca_cert)
channel = grpc.secure_channel("api.internal:50051", channel_credentials)
client = pb_grpc.MyServiceStub(channel)

Mutual TLS for gRPC#

mTLS is the strongest authentication model for service-to-service gRPC. Each service has a certificate, and both sides verify each other.

Kubernetes API Server: Architecture, Authentication, Authorization, and Debugging

Kubernetes API Server: Architecture, Authentication, Authorization, and Debugging#

The API server (kube-apiserver) is the front door to your Kubernetes cluster. Every interaction – kubectl commands, controller reconciliation loops, kubelet status updates, admission webhooks – goes through the API server. It is the only component that reads from and writes to etcd. If the API server is down, the cluster is unmanageable. Everything else (scheduler, controllers, kubelets) can tolerate brief API server outages because they cache state locally, but no mutations happen until the API server is back.

PostgreSQL Setup and Configuration

PostgreSQL Setup and Configuration#

Every PostgreSQL deployment boils down to three things: get the binary running, configure who can connect, and tune the memory settings.

Installation Methods#

Package Managers#

On Debian/Ubuntu, use the official PostgreSQL APT repository:

sudo apt install -y postgresql-common
sudo /usr/share/postgresql-common/pgdg/apt.postgresql.org.sh
sudo apt install -y postgresql-16

On macOS: brew install postgresql@16 && brew services start postgresql@16

On RHEL/Fedora:

sudo dnf install -y https://download.postgresql.org/pub/repos/yum/reporpms/EL-9-x86_64/pgdg-redhat-repo-latest.noarch.rpm
sudo dnf install -y postgresql16-server
sudo /usr/pgsql-16/bin/postgresql-16-setup initdb
sudo systemctl enable --now postgresql-16

Config files live at /etc/postgresql/16/main/ (Debian) or /var/lib/pgsql/16/data/ (RHEL).

Secure API Design: Authentication, Authorization, Input Validation, and OWASP API Top 10

Secure API Design#

Every API exposed to any network — public or internal — is an attack surface. The difference between a secure API and a vulnerable one is not exotic cryptography. It is consistent application of known patterns: authenticate every request, authorize every action, validate every input, and limit every resource.

Authentication Schemes#

API Keys#

The simplest scheme. The client sends a static key in a header:

GET /api/v1/data HTTP/1.1
Host: api.example.com
X-API-Key: sk_live_abc123def456

API keys are appropriate for:

Securing Kubernetes Ingress: TLS, Rate Limiting, WAF, and Access Control

Securing Kubernetes Ingress#

The ingress controller is the front door to your cluster. Every request from the internet passes through it, making it both the most exposed component and the best place to enforce security controls. Most teams deploy an ingress controller and stop at basic routing. That leaves the door wide open.

TLS Termination and HTTPS Enforcement#

Every ingress should terminate TLS. Never serve production traffic over plain HTTP. With nginx-ingress, force HTTPS redirects and add HSTS headers:

Zero Trust Architecture: Principles, Identity-Based Access, Microsegmentation, and Implementation

Zero Trust Architecture#

Zero trust means no implicit trust. A request from inside the corporate network is treated with the same suspicion as a request from the public internet. Every request must prove who it is, what it is allowed to do, and that it is coming from a healthy device or service — regardless of network location.

This is not a product you buy. It is an architectural approach that requires changes to authentication, authorization, network design, and monitoring.

OAuth2 and OIDC for Infrastructure

OAuth2 vs OIDC: What Actually Matters#

OAuth2 is an authorization framework. It answers the question “what is this client allowed to do?” by issuing access tokens. It does not tell you who the user is. OIDC (OpenID Connect) is a layer on top of OAuth2 that adds authentication. It answers “who is this user?” by adding an ID token – a signed JWT containing user identity claims like email, name, and group memberships.