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The latest News and Information on Monitoring for Websites, Applications, APIs, Infrastructure, and other technologies.

datadog

A deep dive into AWS data perimeter misconfigurations

Jun 1, 2026 By Mallory Mooney In Datadog
In AWS environments, a data perimeter is a set of preventative controls that help ensure that your trusted cloud identities (principals or AWS services acting on your behalf) are accessing trusted resources from authorized networks. You can apply these controls at various levels of your infrastructure, such as per resource or across all resources in your AWS account.
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datadog

How we cut Spark compute costs by 44% with agentic AI and Datadog Jobs Monitoring

Jun 1, 2026 By Charles Yu In Datadog
Spark jobs only get more expensive and harder to debug as they scale. It’s a problem we’ve run into ourselves. Our Referential Data Platform team builds and maintains the knowledge graph that maps relationships between customers’ observability entities. ServiceQueryEdge is at the center of that graph, mapping service entities to their associated metric and log queries.
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datadog

Migrate to Azure Managed Redis with Datadog and Eden

Jun 1, 2026 By Michael Cronk In Datadog
Azure Managed Redis is a Microsoft first-party, fully managed in-memory data store, replacing Azure Cache for Redis tiers. It includes Redis Enterprise features such as RediSearch for vector search and full-text search, in addition to RedisJSON, RedisTimeSeries, and Active Geo-Replication. As Azure Cache for Redis reaches end of life, more teams are planning migrations to Azure Managed Redis in search of better performance, lower cost, and modern capabilities for AI and real-time workloads.
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logicmonitor

What a Forrester TEI study on Edwin AI actually tells IT leaders-and how to use it

Jun 1, 2026 By Margo Poda In LogicMonitor
This blog helps IT leaders use the Forrester Consulting TEI study as a practical framework for evaluating Edwin AI in their own environments. A Total Economic Impact study is useful for one, critical reason: it takes a broad technology claim and turns it into a financial and operational framework. That matters in AI for IT operations because the market is crowded with claims. Every platform says it reduces noise. Every platform says it improves efficiency. Every platform says it helps teams move faster.
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motadata

15 DevOps Metrics Every Engineering Team Should Track in 2026

Jun 1, 2026 By Jagdish Sajnani In Motadata
Software moves from code to production more quickly today, but it is still difficult to tell whether delivery is actually improving or just becoming more active. Most teams rely on dashboards filled with metrics like deployments, uptime, failures, and tickets. The numbers are available, but the meaning behind them is often unclear. DevOps metrics become useful only when grouped into clear categories: DORA metrics cover only delivery speed and stability, which is just part of the picture.
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chaossearch

Data-Led Growth: How FinTechs Win with App Event Analytics

May 31, 2026 By David Bunting In ChaosSearch
In the rapidly shifting world of financial technology (FinTech), acquiring and retaining new customers to achieve long-term business growth requires a proactive approach to user experience and application performance optimization. As FinTech companies compete against rivals to grow a user base and revolutionize how consumers manage their finances, they increasingly depend on data-driven insights to optimize their mobile applications and deliver exceptional user experiences. This is where application event analytics comes into play.
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rollbar

There Is No Good Spring Boot Alternative (Unless You're Doing One of These Three Things)

May 31, 2026 By Rollbar In Rollbar
Every few months a new "we migrated off Spring Boot" post washes across r/java or DZone. The numbers are always impressive. 60% memory reduction, 85% faster startup, cloud bill cut in half. The comments are always full of developers convinced they should be doing the same thing. Is Spring Boot really that bad now? I decided to do my own research. I read every credible public migration case study I could find. I ran benchmarks. I built the internal business case for switching two of our services.
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digitate

Why Modern Enterprises Still Get Blindsided And How Business Process Observability Changes That

May 31, 2026 By Ammar Ravat In Digitate
Traditional observability misses business failures Modern monitoring tools can show that systems are technically healthy while critical business outcomes are quietly failing. Business Process Observability (BPO) closes this gap by tracking entire business transactions, like orders, payments, and shipments, instead of just infrastructure and application metrics.
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Your telemetry, your apps. Inside apps on the Cribl Platform

May 30, 2026 By Cribl In Cribl
You already use Cribl to tame your telemetry data. Now you can turn that data into apps your teams actually want to use. In this video, we walk through how to create apps in the Cribl Platform and show how real apps solve real problems: guided troubleshooting for noisy incidents, opinionated security views, and exec-friendly ROI dashboards. You’ll see how apps sit on top of Cribl Stream, Edge, Search, and Lake, so you reuse the data and logic you already have instead of building custom tools from scratch.
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