Operations | Monitoring | ITSM | DevOps | Cloud

At any moment, a small failure at any point in your complex web of IT systems can trigger an outage. As such, proactively establishing a method of clear and timely end user communication is the crux of effective incident response. For large organizations, these moments of downtime not only carry a massive opportunity cost, but also test the resilience of their operations.

If you’re like most companies running large-scale data intensive workloads in the cloud, you’ve realized that you have significant quantities of waste in your environment. Smart organizations implement a host of FinOps activities to ameliorate or address this waste and the cost it incurs, things such as: … and the list goes on. These are infrastructure-level optimizations.

On March 12th 2024, Google is launching a new Core Web Vital metric, Interaction to Next Paint (INP). INP will replace First Input Delay (FID) and will change the way your sites are assessed for performance by Google, which ultimately affects how your sites rank in search engine results. TL;DR: You need to start optimizing for INP today so your sites are not negatively impacted after March 12th.

Large Language Models (LLMs) fall under the category of Generative AI (GenAI), an artificial intelligence type that produces content based on user-defined context. These models undergo training using an extensive dataset composed of trillions of combinations of words from natural language, enabling them to empower interactive and conversational applications across various scenarios.

Apple’s release of Apple Vision Pro on Feb. 2, 2024, sparked widespread anticipation among tech enthusiasts worldwide. Even more among enterprise customers when Apple announced MDM management capabilities in visionOS 1.1. Apple Vision Pro lets users interact with apps while remaining connected to their physical surroundings or immerse themselves entirely in a virtual environment of their choosing.

Organizations today face a growing list of obstacles as they try to improve their detection, coverage, and accuracy. For one, data proliferation is happening at an astronomical rate. When was the last time your network bandwidth went down? What about your license costs for data storage or your SIEM? Difficulties arise from overlapping and poorly integrated tools that generate disparate data streams and several operational efficiencies.

The scalability of the cloud and its inherent variable cost has created financial and operational challenges, which demand the process of tracking varying costs in the dynamic Azure infrastructure at a granular business context level. Unit economics is a process of profit maximization in the cloud based on objective measurements like cost per product. This approach assesses how the organization is performing against its business goals.

At observIQ, we are big believers and contributors to the OpenTelemetry project. In 2023, we noticed project awareness reached an all-time high as we attended trade shows like KubeCon and Monitorama. The project’s benefits of flexibility, performance, and vendor agnosticism have been making their rounds; we’ve seen a groundswell of customer interest.

Profile-guided optimization (PGO) is a compiler feature that uses runtime profiling data to optimize code. Now fully integrated in Go 1.21+, PGO is a powerful tool to boost application performance — and with Grafana Pyroscope, our open source continuous profiling database, you can significantly magnify the value of PGO. In this post, we’ll explore what PGO is, how the Pyroscope team has used it internally to improve performance, and how you can use PGO to make your own programs faster.

When it comes to federal IT modernization, technical debt presents a catch-22. CIOs, IT administrators, and developers know they must modernize their legacy infrastructures to whittle down their technical debt. However, modernization necessitates the need to purchase new solutions, which can end up adding to the technical debt load and create an even more complex IT landscape.