Operations | Monitoring | ITSM | DevOps | Cloud

Is there a gap between the potential of network automation and widespread industry implementation? Phil Gervasi explores how the adoption challenges of network automation are multifaceted and aren’t all technical in nature.

When the concept of Zero Trust emerged in 2010, it marked a sea change in how IT and network security are handled. The term, invented by Forrester Research analyst John Kindervag, is loosely based on the “never trust, always verify” motto. So why is this a sea change? Before 2010, IT focused on perimeter defenses and the concept of DMZs — areas of the network they deemed safe based on the protection they implemented.

Welcome to the third chapter of the handbook on Anomaly Detection for Time Series Data! This series of blog posts aims to provide an in-depth look into the fundamentals of anomaly detection and root cause analysis. It will also address the challenges posed by the time-series characteristics of the data and demystify technical jargon by breaking it down into easily understandable language.

As an MSP, your role is to ensure your client’s network operates without a hitch. Checking the health of their network and sharing your findings in a network assessment report helps you identify potential vulnerabilities so you can fix them sooner rather than later. Creating these reports is a critical part of an MSP’s role, but it’s also a tedious one. That’s why we’ve created a network assessment report template.

We're thrilled to share an exciting update from Logit.io. As part of our ongoing commitment to providing cutting-edge observability solutions to our users, we've integrated OpenSearch 2.10.0 into our platform, bringing a host of advanced features to enhance your experience. Let's dive into what's new and how these changes can benefit your observability workflows.

Whether on the cloud or on-premises, visibility into the inner workings of our IT services and infrastructure is an essential ingredient of a well working IT system. The drive for digital transformation as a core strategic objective for most modern enterprises has meant that ensuring IT systems are working well, secured and delivering value for money is a critical endeavor.

Azure Cosmos DB, offered by Microsoft as an integral part of the Azure cloud platform, is a multi-model database service with a global distribution. It efficiently partitions data for the creation of exceptionally scalable applications. Being a fully managed solution, Azure Cosmos DB relieves you of the responsibilities associated with database administration. It takes care of management tasks like updates and patches automatically.

We had the opening keynote by Adam Selipsky. If you missed the live stream, you can watch it on YouTube here. Unsurprisingly, so much of the keynote was about AI.

Observability is important to understand what’s happening in production. But carving out the time to add instrumentation to a codebase is daunting, and often treated as a separate task to writing features. This means that we end up instrumenting for observability long after a feature has shipped, usually when there’s a problem with it and we’ve lost all context. What if we instead treated observability similarly to how we treat tests?

We are pleased to share a sneak peek of Query Assistant, our latest innovation that bridges the world of declarative querying with Generative AI. Leveraging our large language models (LLMs), Coralogix’s Query Assistant translates your natural language request for insights into data queries. This delivers deep visibility into all your data for everyone in your organization.