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The latest News and Information on DevOps, CI/CD, Automation and related technologies.

How to Build Observability into Chaos Engineering

If you've ever deployed a distributed system at scale, you know things break—often in ways you never expected. That’s where Chaos Engineering comes in. But running chaos experiments without robust observability is like debugging blindfolded. This guide will walk you through how observability empowers Chaos Engineering, ensuring that your experiments yield meaningful insights instead of just causing chaos for chaos’ sake.

How to Implement OpenTelemetry in Next.js

OpenTelemetry is an open-source observability framework designed to instrument, generate, collect, and export telemetry data, including traces, metrics, and logs. It is vendor-agnostic, allowing developers to send data to multiple backend services like Last9, Prometheus, Datadog, or Jaeger without vendor lock-in. For Next.js applications, OpenTelemetry is particularly useful due to the framework’s hybrid rendering approach.

How to make your AI-as-a-Service more resilient

When you think about “AI reliability,” what comes to mind? If you’re like most people, you’re probably thinking of generative AI model accuracy, like responses from ChatGPT, Stable Diffusion, and Sora. While this is certainly important, there’s an even more fundamental type of reliability: the reliability of the infrastructure that your AI models and applications are running on. AI infrastructure is complex, distributed, and automated, making it highly susceptible to failure.

How AI is impacting Africa's connectivity landscape

Artificial Intelligence (AI) is reshaping industries worldwide, and Sub-Saharan Africa is no exception. Across the region, governments, businesses, and start-ups are recognising the potential of AI to drive economic growth, improve efficiencies, and enhance decision-making. Yet, as AI adoption accelerates, so does the demand for robust digital infrastructure, including high-performance computing, data centres, and connectivity.

Spoiler Alert: How "Zero Day" Might Have Played Out Differently with Teneo and Palo Alto Cortex XDR

This weekend, I binge-watched Netflix’s new series Zero Day, starring Robert De Niro. The series has sparked excitement and curiosity among cybersecurity enthusiasts and political thriller fans alike. As the title suggests, the show revolves around a cyberattack that exploits unknown vulnerabilities—so-called “zero days”—to wreak havoc on critical systems. But what if the organizations targeted in Zero Day had the right cybersecurity strategy in place?

How to Monitor Snowflake with OpenTelemetry

Snowflake is a powerful, cloud-based data platform designed for high-performance analytics. Whether you're running massive analytical queries, managing structured and semi-structured data, or optimizing data pipelines, visibility into your Snowflake instance is essential. Performance bottlenecks, query execution delays, and unexpected cost spikes can quickly become issues without proper monitoring.

Kubernetes for AI Workloads

Kubernetes has been facilitating container orchestration for around a decade for both stateful and stateless application workloads. With the recent rise of AI and the advent of tools like Kubeflow and Argo Workflows, Kubernetes is also becoming a first-class citizen when it comes to running AI workloads. When you are training a model on K8s, you may be tweaking many parameters and have to test each of them one by one.

FinOps IT Financial Management

Cloud computing has revolutionized IT infrastructure by offering unparalleled scalability and adaptability. However, organizations face significant challenges when it comes to effectively managing their cloud costs. Traditional IT Financial Management (ITFM) methodologies, designed for on-premises operations, often struggle to address the advanced financial complexities of cloud-based investments. This is where FinOps IT Financial Management takes center stage.

How to make APIM log data easily accessible for non-technical users?

This video explains the use case for API Management and Integration using the Business Activity Monitoring (BAM) feature of Turbo360. The scenario involves tracking help desk ticket submissions via an API, ensuring that support teams and business users can easily check the status of tickets. The challenge is that log data is complex and not easily accessible to non-technical users. Turbo360 simplifies this by providing a user-friendly interface where support teams can search, filter, and analyze logs without deep technical expertise.