Operations | Monitoring | ITSM | DevOps | Cloud

Streamline API testing with Proxy Mock! Capture, mock, and replay API calls locally

Alan Mon introduces Proxy Mock, a powerful tool for capturing and replaying API calls. Learn how to effortlessly record inbound and outbound API requests and responses. The demonstration highlights how Proxy Mock operates entirely on your local machine, eliminating the need for cloud services or internet connectivity for testing. See how to set up Proxy Mock, inspect captured API calls (including request/response headers, body, and unique signatures), and leverage it to mock API responses for seamless local testing, ultimately boosting productivity and reducing the need for costly non-production environments.

How We Made Our Queries 99.5% Faster

We cut log-query scanning from ~100% of data blocks to < 1% by reorganizing how logs are stored in ClickHouse. Instead of relying on bloom-filter skip indexes, they generate a deterministic “resource fingerprint” (hash of cluster + namespace + pod, etc.) for every log source and sort the table by this fingerprint in the primary-key ORDER BY clause. This packs logs from the same pod/service contiguously, letting ClickHouse’s sparse primary-key index skip irrelevant blocks.

Visibility Is the First Line of Defense: Operational Readiness in a Zero Trust World

As global cyber threats continue to evolve at unprecedented speed, the United States public sector faces growing pressure to enhance operational readiness. Agencies must now contend with adversaries who are not only well-funded but also increasingly sophisticated in their ability to exploit visibility gaps. In the face of this dynamic threat landscape, the Zero Trust Architecture (ZTA) model has become an essential security framework.

Smart Ring Development (Part 2) Hardware Design

This series of articles discusses the development of a SOTA Open Smart Ring - a tiny wearable packed with electronics that fits on your (even the smallest) finger. We dive deep into what it means to develop such a product, its challenges, and ultimately, how to make it a manufacturable and usable piece.

A New Era of Cooperation: How the UK-India Free Trade Deal Can Benefit India's Digital Economy

India’s digital economy is on a historic growth trajectory. According to the Digital Infrastructure Providers Association (DIPA), it’s projected to reach $1 trillion by the end of 2025, driven by rising internet penetration, data consumption, and cloud adoption.

Getting started with ElasticSearch dashboards

ElasticSearch is one of the IT and software industry’s most established platforms for storing and analyzing log data. As its name suggests it also has a powerful search and analytics engine based on the ElasticSearch Query language. ElasticSearch itself is essentially a backend store, so if you want to explore and analyze your data, you will need a visualization layer such as SquaredUp and our ElasticSearch PlugIn.

Top 3 reporting tools for Microsoft Teams: SquaredUp, Power BI & M365 Admin Center

Microsoft Teams is a ubiquitous presence in workplaces all over the world. Prior to 2020, its usage was relatively moderate, with around 20 million users. However, global restrictions during the pandemic led to a 3,500% growth. Teams is now so central to business operations that Microsoft retired Skype in its favor. But this massive scale created a new problem – businesses needed better ways to monitor and report on their Teams usage.

How Much Power Does a NVIDIA GB300 NVL72 Need?

Note: As of publication, NVIDIA has not released final specifications for the GB300 NVL72. The details shared here are based on projections informed by GB200 benchmarks, industry analysis, and expected generational improvements. As the AI arms race accelerates, data center professionals are already preparing for what’s next: the anticipated NVIDIA GB300 NVL72.

Introducing the Hyperping Intercom Integration: Reduce Support Tickets with Proactive Status Communication

"Is our API down?" "Why can't I access the dashboard?" "Are you having server problems?" When incidents happen, support teams face a familiar nightmare: tickets flood in faster than you can respond. Your team scrambles to check system status and respond to dozens of identical questions while engineering focuses on fixing the actual problem.