Operations | Monitoring | ITSM | DevOps | Cloud

Network monitoring protocols are essential for keeping your network running smoothly. They are data-collection and analysis techniques that provide insights into the health of your network and can help you identify and fix network problems before they cause major disruptions. Think of your network like a city's road system: data packets are cars, routers are traffic lights, and switches are intersections.

Today’s workers want immediacy in a world that’s always on. Luckily, automation tools have evolved to help ITSM teams meet demand. According to global research from the SolarWinds State of ITSM Report, surveyed companies using automation miss service-level agreements (SLAs) at a rate 11% lower than those without. Let’s unpack this finding. READ THE REPORT.

PagerDuty, Splunk, ServiceNow — with dozens of incident management tools on the market, how do you know which one to choose? Here's the reality — downtime costs organizations an average of $9,000 per minute. That's why companies are increasingly investing in incident management tools to reduce disruption and improve their incident response. But with the market evolving rapidly and new players emerging constantly, selecting the right tool has become more challenging than ever.

For years, the term “AIOps” has been tossed around, but for IT teams, it hasn’t really brought the change it promised. Gartner coined the term, promising that machine learning and AI would forever change how we manage IT operations. Yet, the reality has been underwhelming. For most teams, traditional AIOps has amounted to little more than event management with a shiny new label.

Network automation platforms have many self-evident benefits. They empower NetOps teams to accomplish a lot more in a lot less time. More specifically, network engineers can automate simple tasks so that they can focus on more important, big-picture objectives. These platforms can streamline multiple processes before uniting them into a single, seamless flow.

Time series data innovators and open source community members following us will know that we recently released two new products: InfluxDB 3 Core and InfluxDB Enterprise. InfluxDB 3 Core is a high-performance recent data engine optimized for real-time monitoring, data collection, and streaming analytics use cases. InfluxDB 3 Enterprise builds on Core’s foundation by integrating historical analysis and data compaction, enabling efficient querying over extended time ranges.

As software grows ever more complex, the growing trend of Internal Development Platforms (IDPs) is becoming undeniable. It doesn't matter if you are the next AI super company or a small tech startup—if you are building software, you should consider having a repeatable set of practices and tooling in place to remove developer friction and supercharge operations. IDPs can be used to solve a number of issues, from context switching and lack of collaboration to lack of visibility and security risks.

The recent introduction of the DeepSeek R1 (DeepSeek) Large Language Model (LLM) has shaken up the AI landscape, suggesting that new low-cost and open-sourced providers could enter the market. This disruption creates huge opportunities for service providers to drive innovation and for their vendors and suppliers to enhance or innovate in economically feasible ways.

Remember when AdOps just meant trafficking ads and pulling reports? Those days are dead. The game has changed. While you're still wrestling with basic DSPs and SSPs, a new breed of AdOps leaders is orchestrating complex symphonies of AI, machine learning, and real-time bidding that make traditional programmatic ghosts of the past. By 2028, 81% of digital ad revenue will flow through these advanced systems - leaving traditional operators in the dust.