# rca Published articles for rca. This is one page of public article previews, not the complete archive. Follow Next page to continue. Summaries are not the original full articles. ## Service Levels: SLI, SLO, SLA DevFeed: [Service Levels: SLI, SLO, SLA]() Original publisher: [Read original article]() Author: Sridhar Rajarao Published: 2026-05-24T00:00:00Z Content type: article Language: en Sources: [Sridhar Rajarao]() Topics: [Availability](), [telemetry](), [Artificial Intelligence]() Tags: [ai](), [availability](), [rca](), [reliability](), [service](), [slo](), [sre](), [telemetry]() ### AI overview The article distinguishes SLI, SLO, and SLA as a hierarchy: measured reality, an internal target, and a customer contract. It explains how the gap between SLO and SLA creates an error budget and describes AI uses such as detecting SLO erosion, correlating telemetry, and drafting root-cause analyses while leaving operational judgment to engineers. ### Source excerpt What SLI, SLO, and SLA actually mean, why the order matters, and where AI helps. ## exploits.club Weekly Newsletter 87 - NVIDIA Merlin Bugs, GrapheneOS's Allocator, Intel CPU Bugs, And More DevFeed: [exploits.club Weekly Newsletter 87 - NVIDIA Merlin Bugs, GrapheneOS's Allocator, Intel CPU Bugs, And More]() Original publisher: [Read original article]() Author: exploits.club Published: 2025-09-26T15:00:49Z Content type: news Language: en Sources: [exploits.club]() Topics: [Nvidia](), [GrapheneOS](), [Exploit](), [intel](), [PyTorch](), [recommendation systems](), [GPU]() Tags: [exploit](), [intel](), [nvidia](), [pytorch](), [rca](), [recommendation-systems](), [updates]() ### AI overview The 87th exploits.club weekly newsletter reviews developer and security news, including a remote code execution vulnerability in NVIDIA Merlin Transformers4Rec, GrapheneOS's hardened memory allocator, and an Intel GPU driver crash during power transitions. It also mentions Google Cloud VRP updates and other security resources. ### Source excerpt Happy Friday. Almost that time of the week again: Annnnnyway 👇 In Case You Missed It... Google Cloud VRP: Enhancing Transparency and Impact in Our Rewards Program - Some VRP updates for Google Cloud with more transparency and consistency, less ambiguity New chITchat by pamoutaf Episode - A chat with @PinkDraconian that ## Using the OSI Model for Effective Production Issue Debugging DevFeed: [Using the OSI Model for Effective Production Issue Debugging]() Original publisher: [Read original article]() Author: Kamal Kumar Published: 2025-08-28T17:37:45Z Content type: tutorial Language: en Sources: [Housing.com]() Topics: [debugging](), [networking](), [Network](), [Routing (disambiguation)](), [Server](), [Authentication](), [Encryption](), [configuration](), [business logic](), [Framework]() Tags: [analysis](), [apis](), [authentication](), [configuration](), [debugging](), [devops](), [errors](), [firewalls](), [load](), [mapping](), [network](), [osi-model](), [production-debugging](), [production-issue](), [rca](), [root-cause-analysis](), [routing](), [servers](), [sre](), [tcp](), [troubleshooting](), [udp](), [web]() ### AI overview This tutorial explains how to use the seven-layer OSI model to structure root cause analysis for production alerts. It recommends checking lower layers for network and gateway errors, and higher layers for application and client errors, including connectivity, routing, logs, APIs, authentication, and configuration. ### Source excerpt In production environments, debugging alerts can sometimes feel like finding a needle in a haystack. Over the years, I've found the OSI (Open Systems Interconnection) model to be a reliable guide during Root Cause Analysis (RCA) of production issues. What is the OSI Model? The OSI model is a conceptual framework that standardizes the functions of a telecommunication or computing system into seven layers: Physical Layer -- Hardware, cables, switches Data Link Layer -- MAC addresses, switches, network topology Network Layer -- IP addressing, routing Transport Layer -- TCP/UDP, ports, session reliability Session Layer -- Session management, authentication Presentation Layer -- Data translation, encryption Application Layer -- APIs, web servers, applications How I Use OSI Layers in RCA: When I debug production alerts, I follow different approaches depending on the type of error: Network / Gateway Errors (e.g., 502, 504): These errors usually indicate communication issues between services. I start from the bottom layers (Physical -> Network -> Transport) to check connectivity, firewalls, routing, or load balancers. Application / Client Errors (e.g., 500, 503, 404): These errors generally originate from the application or business logic. I start from the top layers (Application -> Presentation -> Session) to check service logs, APIs, authentication issues, or configuration problems. Why this approach works: Following the OSI model provides a structured, layer-by-layer method for troubleshooting, ensuring that we don't miss low-level network issues or high-level application errors. It helps reduce mean time to resolution (MTTR) and improves the quality of RCA reports. Takeaway: The OSI model is not just a theoretical concept -- it's a practical tool that can guide engineers through complex production debugging. Next time you face a tricky alert, try mapping it to the OSI layers, and you might find the root cause faster than you think. Using the OSI Model for Effective Production Issue ## Summary of Heroku June 10 Outage DevFeed: [Summary of Heroku June 10 Outage]() Original publisher: [Read original article]() Author: Vish Abrams Published: 2025-06-15T20:07:36Z Content type: article Language: en Sources: [Heroku]() Topics: [Heroku](), [incident](), [Availability](), [networking](), [Resilience](), [Monitoring]() Tags: [2025](), [availability](), [errors](), [heroku](), [incident](), [monitoring](), [network](), [news](), [outage](), [rca](), [resilience]() ### AI overview Heroku describes its June 10, 2025 outage, which caused service disruption and up to 24 hours of downtime for many customers. The incident resulted from an unintended production infrastructure update, a networking service flaw involving legacy routing behavior, and shared infrastructure for internal tools and the Status Page. Heroku says no customer data was lost and the event was not a security incident. ### Source excerpt Beginning at 6:00 UTC, on Tuesday, Jun 10, 2025 Heroku customers began experiencing service disruption, creating up to 24 hours of downtime for many customers. This issue was caused by an unintended system update across our production infrastructure; it was not the result of a security incident, and no customer data was lost. Now that [...] The post Summary of Heroku June 10 Outage appeared first on Heroku.