Operations | Monitoring | ITSM | DevOps | Cloud

How a corrupted file took down 12,000 flights across the US: Real-world consequences of minor IT negligence

The airport is shutdown in the midst of a busy time, masses of people are stranded, pilots wait in the cockpit awaiting ground information, there’s confusion and panic among the crew. This could easily be a scene from Die Hard 2 where the villains take over an airport and seize control of all electrical equipment. But, hate to break it to you, this actually happened. Is it possible for one person to disrupt the entire nation’s aviation system? Apparently, yes.

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Uptime monitoring: How to track your network availability, 24/7

When it come to measuring an organization's ability to support end users and provide services, network uptime can be a great yardstick. An inability to ensure optimum uptime can negatively impact your business delivery, resulting in financial and reputational losses. If you're doing it manually, ensuring 24/7 network uptime is a challenging exercise requiring considerable resources. It is way more convenient to have a monitoring mechanism in place that can monitor network uptime and notify the network admin proactively about any bottlenecks that might lead to network downtime.
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Using AIOps for Better Adaptive Incident Management

An effective incident management strategy is crucial for any business, especially those offering consumer-facing digital services. This is because when incidents occur, they may be easily detected by your users, impact your reputation, and ultimately affect your bottom line. So, to minimize the reach and severity of incidents, your response needs to be swift and effective. One way to ensure your approach meets these requirements is to implement AIOps.

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Runbook Automation as a Baseline for Controllability and Observability

Some of the highest priorities for engineers - from NOC Engineers, DevOps & Site Reliability Engineers - are the automation and optimization of their production environments. Many companies today face tough challenges with their Network Operations Centers (NOCs) or production environments. These challenges fall into the hands of engineering teams.

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On-Premises vs Cloud MDM deployment: Key Differences between them

On-premises vs cloud MDM deployment With the rise of SaaS application management, mobile device management (MDM) services have gained popularity among IT professionals. Modern computing environments rely on the efficient use and provisioning of resources. But which one is right for your business: on-premise or cloud MDM deployment? While this may seem like a simple question, there are many factors that come into play when deciding which method to go with. This article discusses the differences between on-premises vs. cloud MDM deployment. It will also present examples, use cases, and pros and cons of these two deployment options.

How to use Kubernetes events for effective alerting and monitoring

Kubernetes, a graduated project of the Cloud Native Computing Foundation (CNCF) ecosystem, is the most prominent and widely used container orchestration systems. It’s used to manage and deploy containers in a wide range of environments, from IoT devices based on Raspberry Pis to enterprise environments consisting of millions of services.

7 Container Orchestration Tools for Managing Microservices Efficiently

When people hear ‘containers,’ they don’t immediately think about an IT solution that helps businesses create and distribute applications seamlessly. However, the container concept has been around for a long time, helping companies in various industries globally. Containers continue to change the landscape of app development and deployment. This guide below will help you understand containerization and the best orchestration tools to manage containers.

What is MLOps going to look like in 2023?

While AI seems to be the topic of the moment, especially in the tech industry, the need to make it happen in a reliable way is becoming more obvious. MLOps, as a practice, finds itself in a place where it needs to keep growing and remain relevant in view of the latest trends. Solutions like ChatGPT or MidJourney dominated internet chatter last year, but the main question is…What do we foresee in the MLOps space this year and where is the community of MLOps practitioners focusing their energy?