Operations | Monitoring | ITSM | DevOps | Cloud

True Network Monitoring ROI Means Upgrading Your NetOps Strategies

Running network operations today is more complicated than ever before. Networks are growing in size and complexity due to modern network architecture adoption, but organizations are not hiring more staff to compensate for this increased complexity and demand. The prevailing mentality seems to be to do more with what you have.

InfluxData Announces New Platform Enhancements at InfluxDays 2022

SAN FRANCISCO, November 2, 2022 – Today, InfluxData, creator of the leading time series platform InfluxDB, announced significant product enhancements at InfluxDays 2022, its annual developer and community event. New features including InfluxDB Script Editor, Telegraf Custom Builder, and Flux 1.0 support developers working with time series data, allowing them to do more with less code.

More Capabilities, Less Code: Announcing Platform New Features at InfluxDays 2022

The InfluxDB platform has evolved a lot over the past decade. But with every innovation we’ve added to the platform, the focus behind our efforts has remained the same: Build cool stuff for people who build cool stuff. What we mean by this is we want to make it incredibly easy for users to build valuable applications with their time series data. We do that by offering a wide range of tools, features, and resources that meet builders on their terms.

Low-Code/No-Code: The Past & Future King of Application Development

Business organizations that want to save money and be competitive take into consideration the time costs associated with investments in new technologies. Will the efficiency gains translate to a rapid return on investment? Will users embrace the change and be more productive? Or will those investments be a hassle to employees and result in time-wasting workarounds and a fallback to inefficient, manual processes?

Distributed Tracing: Build vs. Buy

With serverless and containerized applications becoming a norm, workloads and integrations are spread across multiple cloud environments. As these apps become increasingly more distributed, monitoring also becomes more complicated with siloed and incomplete telemetry. This is where distributed tracing brings great value. It enables end-to-end visibility in your modern and complex application.

Gain visibility into manufacturing OT assets to reduce cyber risk

As manufacturing operational technology (OT) ecosystems grow more connected and complex, they become vulnerable to cyberattacks. In fact, the manufacturing sector was the most attacked industry in the world in 2021, according to IBM’s X-Force Threat Intelligence Index 2022. Manufacturing surpassed finance and insurance in the number of cyberattacks for the first time in five years. A large part of the industry’s vulnerability is due to a lack of visibility.

6 Examples Of FinOps KPIs That Will Improve Your Margins

Setting FinOps KPIs helps keep your whole organization aligned toward the same financial goals. However, it takes more than simply setting a broad, company-wide financial goal and turning every employee loose to work on that goal without more specific directions. It’s far better to come up with realistic and achievable goals tailored toward each person or team that will be responsible for them. That’s because KPIs should ideally be focused around the typical persona of each team.

Monitoring MongoDB performance metrics (WiredTiger)

This post is part 1 of a 3-part series about monitoring MongoDB performance with the WiredTiger storage engine. Part 2 explains the different ways to collect MongoDB metrics, and Part 3 details how to monitor its performance with Datadog. If you are using the MMAPv1 storage engine, visit the companion article “Monitoring MongoDB performance metrics (MMAP)”.

Pandora's Flask: Monitoring a Python web app with Prometheus

We eat lots of our own dog food at MetricFire, monitoring our services with a dedicated cluster running the same software. This has worked out really well for us over the years: as our own customer, we quickly spot issues in our various ingestion, storage, and rendering services. It also drives the service status transparency our customers love. Our customers include large multinational coffee brewers, game companies, and other data science/SaaS companies.