Native OpeTelemetry

OpenTelemetry has become the standard for generating telemetry in cloud-native systems, but instrumentation alone does not guarantee observability. This article explains the difference between OpenTelemetry-compatible and OpenTelemetry-native approaches, using a Kubernetes-based Minecraft example to show how transparency in the OpenTelemetry Collector and observability pipeline improves debugging, preserves context, and restores trust in telemetry data.

NeuVector for Kubernetes Security and Compliance

NeuVector delivers continuous vulnerability scanning and compliance enforcement across Kubernetes environments. This article explains how NeuVector updates CVE data daily, enforces admission control in discover, monitor, and protect modes, and automates CIS benchmark checks to secure workloads from build to runtime.

Simplifying Microservices with Istio and Service Mesh Architecture

In this guide, we take a developer-first journey through Istio’s capabilities—sidecar proxies, WASM plugin customization, secure ingress and egress gateways, multi-cluster setups, zero-trust security with mTLS, and real-world traffic management patterns. Using a coffee shop microservices app as our example, we break down abstract concepts into digestible sections and hands-on examples.

Understanding Observability with OpenTelemetry and Coffee

Understanding Observability with OpenTelemetry and Coffee is your practical guide to modern observability. This blog breaks down OpenTelemetry concepts, explains code instrumentation with .NET 8, and explores the OpenTelemetry Collector. Using a real-world coffee shop microservices app to simplify tracing, logging, and metrics collection. Introducing SigNoz to help you get visibility into your distributed systems.

Introduction to Apache Spark, SparkQL, and Spark MLib.

In this blog, i focus on Apache Spark , features and limitations of Apache Spark , architecture of Apache Spark, architecture of SparkQL, and architecture of Spark MLib .

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Things to know about Event-Driven Architecture

With the continuing growth of micro services and the cloud best practice of designing decoupled systems, it’s imperative that developers have the ability to utilize a service, or system for better scalability and availability. Event-driven architecture focuses on function as a service, giving the developers more availability, elasticity, scalability, and cost optimization. This blog covers what do you mean by serverless architecture, when to use it, and various AWS serverless services such as API Gateway, Lambda, SQS, SNS, and SES.

Fault Tolerance and Recovery in Distributed systems

In this blog, we will focus on fault tolerance in distributed systems, two phase commit protocol and Voting Protocol. Also focus on recovery in distributed systems, backward and forward error recovery, database modification with state based approach and Checkpoint algorithm. Also a little information on Distributed database.

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How to detect a Deadlock and resolve it in Distributed Systems?

In this blog, we will focus on how to prevent a deadlock, how to detect a deadlock, centralized, decentralized and hierarchical resolution algorithms for deadlock.

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How to Synchronize Distributed systems?

In this blog, we will focus on how to synchronize distributed systems( actual time, relative time, Based on mutual exclusion, Election algorithms and Transactions).

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What do you mean by Distributed Systems, Shared Memory and File Systems

In this blog, we will focus on what do you mean by Central, Network, and Distributed systems along with Issues while designing a distributed system. We will also be covering Distributed Shared Memory along with coherence protocols. We will be covering the architecture of Distributed File Systems along with design Issues.