AWS and Azure lead the IaaS market, but choosing between them depends on your workloads, existing stack, and hybrid requirements. This guide breaks down compute, storage, AI/ML, hybrid capabilities, and pricing to help you decide.
Edge computing was set to reshape network architecture in 2020 and beyond. Here are the key industry predictions, growth drivers, and practical implications for DevOps and infrastructure teams.
A look back at the most significant technology developments of 2019, including Kubernetes adoption for big data, AI momentum, IoT investment, and the push for data privacy legislation.
A retrospective look at five cybersecurity predictions made heading into 2020, covering security M&A, open source adoption, edge security, AI-driven threats, and 5G attack surfaces.
A guide to ten notable cloud computing courses and training programmes available in India, covering curriculum, cost, duration, and key differentiators for IT professionals looking to upskill.
Google announced Anthos Migrate’s general availability at Cloud Next London, giving enterprises a path to convert VM-based workloads into Kubernetes containers without a full rewrite. Here’s what it means for DevOps teams.
AI won’t replace human judgment in DevOps alert management overnight, but it can meaningfully reduce alert fatigue by triaging, aggregating, and routing notifications from multiple systems. Here’s a realistic look at where AI fits today.
Cloud computing, AI, and digital transformation have introduced a set of genuine contradictions that engineers and business leaders must grapple with. Understanding these paradoxes can sharpen how teams design systems, hire talent, and derive value from data.
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A practical guide to the server monitoring software landscape, covering leading platforms such as Zabbix, Nagios, Grafana, Zenoss, and Cacti, plus deployment types, target use cases, and evaluation criteria for DevOps teams.
Kubernetes Operators and the NVIDIA GPU Operator are reducing infrastructure complexity so that data scientists and AI/ML engineers can focus on model training rather than cluster management.
Hewlett Packard Enterprise and the US Department of Energy’s National Renewable Energy Laboratory are collaborating on an AI Ops R&D project to automate data center operations, reduce energy consumption, and prepare infrastructure for exascale computing.
Singapore-based startup Sentient.io is offering a platform of pre-trained AI microservices that allows developers without specialist AI expertise to add capabilities such as speech recognition and natural language processing to their applications via APIs.
A security researcher discovered that AWS authentication cookies remain valid for up to 12 hours even after a victim changes their password and logs out — creating a persistent access window for attackers who successfully phish credentials.
Zendesk’s Events Connector for Amazon EventBridge lets engineering teams stream near real-time Zendesk customer data into AWS services such as Lambda, S3, Kinesis, and SageMaker — closing the gap between customer support data and the broader data platform.
Agile has transformed how organisations work, but resistance to change, weak management support, and cultural misalignment remain its biggest threats. Here is how experienced practitioners say you can avoid the most common pitfalls.
AWS has signed a Whole-of-Government agreement with the Commonwealth of Australia, giving Federal, State, and Territory agencies simplified access to the full AWS cloud portfolio under pre-agreed terms.
A look at three significant cloud computing developments from 2019: advances in backup and disaster recovery, deeper AI integration, and the maturation of container technology.
The nature of work has fundamentally shifted. Understanding workflows—and how to automate, optimize, and continuously improve them—is now a core DevOps competency.
AI systems don’t run themselves reliably after deployment. DevOps teams need a dedicated AI overseer role to catch errors, bias, gaps, and ethical failures before they cause real harm.
