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Webinar Recap: Building an AI Anomaly Detection Pipeline with InfluxDB

In this webinar hosted by InfluxDB and HiveMQ, we focus on how you can create value for your business using new tools in the AI and database ecosystem to quickly deploy AI models to perform tasks like anomaly detection. The webinar starts with a high-level overview of how MQTT and time series data can be valuable in an industrial IoT environment.

Impressions from Gartner IOCS 2023

Gartner’s IT Infrastructure, Operations & Cloud Strategies Conference (IOCS) is an annual event that attracts ITOps, SRE, and DevOps leaders from around the world. As Gartner explains, IOCS “brings the world’s technology leaders together to hear top trends, find objective answers, and explore topic coverage in addition to best practices. Gain the insights and guidance to create an effective pathway to the future and network with your peers.”

The Advent of Monitoring, Day 11: Testing and Monitoring: Should You Separate or Unite Them?

The two key pillars of building reliable applications are: testing and monitoring. With testing, you can verify that each pull request works before it’s merged and deployed to production. Just testing isn’t enough, though. You also need to make sure that the application continues to work on production. Database rollovers, third-party outages, and unexpected spikes in traffic can all cause issues that need to be detected.

RAM - What Is It and How to Increase It

Within the realm of laptops, a sophisticated ecosystem thrives, comprising an array of intricate components. Among these, the one that undeniably exerts a profound influence on overall functionality is the RAM. Here, we embark on a quest to fathom the essence of RAM, its sphere of influence, methods of augmentation, and the rationale behind expanding it. Permit me to elucidate.

The Advent of Monitoring, Day 10: Better Observability Into Your Local Clickhouse Instance With Grafana and Prometheus

Cloud-based database providers often provide great observability out of the box. But, what if you’re developing a tricky feature locally and need more details about what your local Clickhouse is doing? There are many options, but if you’re a numbers and graphs person like me, you’ll want to be able to view the inner workings of Clickhouse in something like Grafana.

Episode 1 | Tushar Srivastava on BPM, Process Mining and AI Automation

In this inaugural episode of the Tech Decisions Podcast, the hosts introduce the show and its purpose of making enterprise technology research accessible and insightful. The guest, Tushar Shrivastava, a BPM enthusiast and former Gartner analyst, provides an overview of BPM (Business Process Management) and the technologies it encompasses, including business process automation, process mining, and task mining. The importance of investing in BPM technologies is discussed, along with successful outcomes of BPM implementations.

The Advent of Monitoring, Day 9: Advantages of Multi-Step API Checks vs Original API Checks

This is the ninth part of our 12-day Advent of Monitoring series. In this series, Checkly's engineers will share practical monitoring tips from their own experience. As a Checkly user, you’ve always had access to our two core check types: API and browser checks. API Checks are much cheaper, and therefore only run a curl-like request against the endpoint of your choice.

The Advent of Monitoring, Day 8: How to Monitor All the Nines of Your Service-Level Agreements

If you have large(r) customers, there is a point where they ask you for service-level agreements, or short SLAs. These are customer contracts defining different aspects of your service and what you guarantee for them. One common agreement is around availability, or, colloquially speaking, uptime. Your contract might state, and I am not a lawyer, that you guarantee that your service (or core parts of it) is available 99.99% of the time of a given period, mostly per month, quarter, or year.

AI-Driven DevOps: How Artificial Intelligence is Reshaping Software Delivery

DevOps (development and operation) has dramatically changed processes of management in tech companies. This method or, as they say, religion, introduced new philosophy into development and operations. Earlier, when only the waterfall method was used, all deployments were really painful: if something went wrong you had to look for the reason on every stage, in every team. Every change in development had an impact on operations and vice versa. After the introduction of DevOps method the interaction between development and operations prevented a lot of mistakes and made deployment much easier.