Operations | Monitoring | ITSM | DevOps | Cloud

The digital shift has particularly influenced the world of network management, where traditional monitoring is gradually giving way to AI operations (AIOps) solutions. It illustrates a clear shift towards automated and predictive IT operations management. While traditional systems have their place, particularly in smaller or less complex environments, AIOps represents the future of network monitoring, offering the ability to anticipate and prevent issues.

“Isn’t observability just a fancy term for monitoring?” That’d be the response from most IT folks a few years back if you asked them about it. And here we are in 2023, where Observability now is as imperative a term as security itself.

Bandwidth Monitoring is a vital function essential for the smooth flow of data and business success in the digital landscape. Many businesses, individuals, and data centers use networks to share information or services with each other. However, at times customers may experience poor results from unreliable connections, but these problems could also be signs of more serious network problems.

The Azure Integration Account is part of the Logic Apps Enterprise Integration Pack (EIP) and serves as a secure, easily manageable, and scalable repository for the integration artifacts that you create. You can create and store agreements, certificates, maps, partners, and schemas in your integration account and refer them seamlessly across all your Logic Apps. This streamlined approach facilitates the swift and hassle-free creation of B2B processes using Logic Apps.

In an era where cybersecurity threats are not just frequent but increasingly sophisticated (and becoming more costly), the need for robust defense mechanisms has never been more critical. Security Information and Event Management (SIEM) emerges as a cornerstone in this complex data environment. It’s not just another tool in your cybersecurity toolkit; it’s a solution designed to elevate your organization’s security posture.

When was the last time your network threw a surprise party – and by party, we mean a full-blown connectivity catastrophe? If you're thinking, "Not on my watch," well, kudos to you! But here’s the reality check – it's not a matter of 'if' but 'when'. With more than 30 years of collective experience in the industry, our team knows that network issues come knocking sooner rather than later, and usually when you least expect it. So, how ready are you for the pitfalls hidden in the future?

SaaS discovery is really easy if you’re an end user. You can probably find a product that meets your needs with a Google search and a credit card. However, SaaS discovery from an IT management and governance perspective is a whole different beast. In the past, there haven’t been a lot of easy ways to detect application usage in the browser or restrict user activity without creating hyper-restrictive internet usage policies. Enter SaaS discovery platforms.

On a retail floor, there's a shopper with a question about product availability. And there’s a store associate with the opportunity to answer, creating a sale and building loyalty. In a distribution center, a picker carefully lifts a fragile item out of a bin and places it in a tote. They confirm the item visually through an image presented in the picker’s application workflow. The order will be fulfilled accurately.

Understanding your AWS S3 billing is crucial to effectively manage and reduce your costs. Charges in AWS S3 are primarily based on three factors: the amount of data you store, the number of requests you make, and data transfer fees. Storage costs are calculated per gigabyte (GB) stored, which are tiered depending on the total size of your data. Requests costs are incurred with each put, get, or list operation on your objects, with prices varying based on the type of request.

Choosing, deploying, maintaining, and rationalizing observability and monitoring tools can be a constant challenge for ITOps, DevOps, and SRE teams. As teams monitor increasingly complex systems, the need for instrumentation that monitors those systems grows at the same rate, leading directly to a growing problem of observability data engineering, integration, and enrichment.