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Articles by Amanda Mitchell
AI data centres absorbed so much memory capacity this summer that smartphone prices went up $100 across the board
The pattern is documented in a new GlobalData report, "AI-Driven RAMageddon Triggers First Wave of Smartphone Price Hikes – Further Increases and Fewer Choices Loom." GlobalData tracks the memory market across both AI infrastructure and consumer devices and identifies the AI buildout as the mechanism linking data-centre investment to higher phone prices. AI infrastructure companies are not just buying more memory; they are signing multiyear commitments at premium prices.
Observability in transition: Building confidence on the path to agentic workflows
For more than two decades, monitoring and observability workflows have remained largely unchanged. Even as systems scale and complexity explodes, the experience hasn’t evolved to match. Engineers pore over dashboards, chase down alerts, and manually decide what’s worth investigating.
Chronosphere Named a Leader in the 2025 Gartner® Magic Quadrant™ for Observability Platforms— Again
For the second year in a row, Chronosphere is a Leader in the Gartner® Magic Quadrant™ for Observability Platforms. We’re excited, proud, and maybe a little fired up, because this recognition shows what happens when you build an observability platform that actually keeps up with modern infrastructure. Most monitoring tools weren’t designed for containers and microservices, nor were they built to support AI/LLM workloads.
Meet the Chronosphere Team: Katie Greenley, Open Source Community manager
Every Chronospherian is unique and someone to be celebrated. From engineering superstar to finance whiz to Marketing hero, our company would not be where we are today without contribution from every employee. We are also a remote-first company and we’re growing fast, which means most of us – including members of the same team – might not have met in person yet.
Logging best practices: How to maximize log value
Some logs help development and testing, others help with troubleshooting, and still others help with audit, security, and performance tracking. The simplest thing that can be done is to attribute every log with a log level, or severity, reflecting the impact of what the log event represents. Typical log levels are trace, debug, info(rmation), warn(ing), error, and fatal. The idea of event severity and these severity levels goes back to the ’80s and Syslog development.
What is a Service Level Objective: Technical insights for engineers and developers
Service level objectives (SLOs) are specific, measurable targets or goals that define the expected performance of a service. SLOs typically are placed on a service that form or represent a customer interaction. First introduced by Google in the SRE Book in 2016, they have become an essential tool for monitoring system health, customer experiences, and understanding whether engineering resources should be invested in reliability or innovation and development.
Kubernetes pod vs container: know the difference
Kubernetes has become the go-to platform for orchestrating cloud native applications, helping teams scale and manage complex systems more efficiently than ever before. But if you’re newer to Kubernetes—or even if you’ve been using it for a while—you might have noticed that the terms pod and container are often used interchangeably. That can lead to some serious confusion when you’re building, deploying, or debugging applications.
4 Unexpected Costs of Unreliable Observability
Sometimes it can be hard to know all the ways an adverse issue can cost your business — until it happens. Although your organization has likely mastered service downtime measurement — calculating lost revenue, customer satisfaction score (CSAT), customer churn and negative press — have you taken the time to understand the full spectrum of business costs incurred when your observability platform slows down or becomes unavailable?
Top Ways to Reduce Your Observability Costs: Part 2
This is the second in a two-part series. Read Part 1 here. Organizations are constantly trying to figure out how to balance data value versus data cost, especially as data is rapidly outgrowing infrastructure and becoming costly to store and manage. To help, we’ve created a series that outlines how data can get expensive and ways to reduce your data bill.
Top Ways to Reduce Your Observability Costs: Part 1
This is the first of a two-part series. Organizations are constantly trying to figure out how to balance data value versus data cost, especially as data is rapidly outgrowing infrastructure and becoming costly to store and manage. To help, we’ve created a series that outlines how data can get expensive and ways to reduce your data bill. This article covers how cloud native architecture increases data growth, what cardinality is and how you can curb data costs.
Top 4 Factors for Cloud Native Observability Tool Selection
Cloud native adoption isn’t something that can be done with a lift-and-shift migration. There’s much to learn and consider before taking the leap to ensure the cloud native environment can help with business and technical needs. For those who are early in their modernization journeys, this can mean learning the various cloud native terms, benefits, pitfalls and how cloud native observability is essential to success.
3 Ways Traditional APM Systems Hinder Modern Observability
This is the third of a four-part series. Read Part 1 and Part 2. Cloud native adoption isn’t something that can be done with a lift-and-shift migration. There’s much to learn and consider before taking the leap to ensure the cloud native environment can help with business and technical needs. For those who are early in their modernization journeys, this can mean learning the various cloud native terms, benefits, pitfalls and about how cloud native observability is essential to success.
Pros and Cons of Cloud Native to Consider Before Adoption
This is the second of a four-part series. Read Part 1. Cloud native adoption isn’t something that can be done with a lift-shift migration. There’s much to learn and consider before taking the leap to ensure the cloud native environment can help with business and technical needs. For those who are early in their modernization journeys, this can mean learning the various cloud native terms, benefits, pitfalls and about how cloud native observability is essential to success.
5 Things to Know Before Adopting Cloud Native
This is the first of a four-part series. Cloud native adoption isn’t something that can be done with a lift-and-shift migration. There’s much to learn and consider before taking the leap to ensure the cloud native environment can help with business and technical needs. For those who are early in their modernization journeys, this can mean learning the various cloud native terms, benefits, pitfalls and about how cloud native observability is essential to success.
Amanda Mitchell
Will Elon Musk actually destroy Twitter? CSAM poster re-instatement, “absolute free speech,” talent-gutting, massive advertiser exodus … What does it take to kill the bird? Yup. He borked it into a death spiral the instant he signed on as CEO. Essentially, yes. It’ll take a while to descend into its radioactive Xesspool destiny, but it’s inevitable it will join the ranks of 4chan, 8chan, Nchan, Xchan … Please yes, and quickly. I’m just done with all this stupid drama over this stupid little app.
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