CommPulse

Azure shipped another generous batch of updates this week—because apparently cloud platforms never sleep. Expect new networking and Kubernetes capabilities, AI-related additions, a new India region, plus a few previews for those who enjoy testing tomorrow’s features today. Full list: * [In preview] Public Preview: Azure Enclave(https://azure.microsoft.com/updates?id=568377). This feature is currently being tested and is available for early adopters. * [Launched] Generally Available: NAT64 on StandardV2 NAT Gateway(https://azure.microsoft.com/updates?id=568409). This update brings IPv6 support to the StandardV2 NAT Gateway. * [Launched] Generally Available: Application Routing with Gateway API(https://azure.microsoft.com/updates?id=567944). This new feature simplifies application routing within Azure. * [Launched] Generally Available: Resource placement in Azure Kubernetes Fleet Manager(https://azure.microsoft.com/updates?id=567931). This update helps manage where your Kubernetes resources are placed. * [In preview] Public Preview: Maximum allowed failures for update runs in Azure Kubernetes Fleet Manager(https://azure.microsoft.com/updates?id=567939). This preview allows you to set limits on update failures in Kubernetes. * [In preview] Public Preview: Prepared Image Specification(https://azure.microsoft.com/updates?id=567949). This specification is being tested for future image handling in Azure. * [Launched] Generally Available: Microsoft Azure now available from new cloud region in India (India South Central)(https://azure.microsoft.com/updates?id=568013). Azure is now available in a new region in India. * [Launched] Generally Available: Claude Opus 5 on Azure Databricks(https://azure.microsoft.com/updates?id=568316). This brings the powerful Claude Opus 5 model to Databricks. * [Launched] Generally Available: HTTP header insertion in Azure Firewall(https://azure.microsoft.com/updates?id=568115). This update allows for the insertion of custom HTTP headers in the firewall. * [In preview] Public Preview: AI Gateway in Azure API Management(https://azure.microsoft.com/updates?id=568184). This preview introduces AI capabilities to API Management.* [In preview] Public Preview: Azure Enclave(https://azure.microsoft.com/updates?id=568377). This feature is currently being tested and is available for early adopters. * [Launched] Generally Available: NAT64 on StandardV2 NAT Gateway(https://azure.microsoft.com/updates?id=568409). This update brings IPv6 support to the StandardV2 NAT Gateway. * [Launched] Generally Available: Application Routing with Gateway API(https://azure.microsoft.com/updates?id=567944). This new feature simplifies application routing within Azure. * [Launched] Generally Available: Resource placement in Azure Kubernetes Fleet Manager(https://azure.microsoft.com/updates?id=567931). This update helps manage where your Kubernetes resources are placed. * [In preview] Public Preview: Maximum allowed failures for update runs in Azure Kubernetes Fleet Manager(https://azure.microsoft.com/updates?id=567939). This preview allows you to set limits on update failures in Kubernetes. * [In preview] Public Preview: Prepared Image Specification(https://azure.microsoft.com/updates?id=567949). This specification is being tested for future image handling in Azure. * [Launched] Generally Available: Microsoft Azure now available from new cloud region in India (India South Central)(https://azure.microsoft.com/updates?id=568013). Azure is now available in a new region in India. * [Launched] Generally Available: Claude Opus 5 on Azure Databricks(https://azure.microsoft.com/updates?id=568316). This brings the powerful Claude Opus 5 model to Databricks. * [Launched] Generally Available: HTTP header insertion in Azure Firewall(https://azure.microsoft.com/updates?id=568115). This update allows for the insertion of custom HTTP headers in the firewall. * [In preview] Public Preview: AI Gateway in Azure API Management(https://azure.microsoft.com/updates?id=568184). This preview introduces AI capabilities to API Management. submitted by /u/groovy-sky [link] [comments]

Hi everyone, my team is migrating a production RAG agent from GPT-4o to GPT-5.1 in Azure AI Foundry because our GPT-4o version is approaching retirement. GPT-4o currently gives us concise, conversational, well-grounded answers. We tested GPT-5.1 with the same system prompt, knowledge base, RAG pipeline, and agent configuration, but the behavior is significantly different. GPT-5.1 produces much longer and more structured answers, often adds headings and summaries, and sometimes uses tables even though our system prompt explicitly forbids them unless requested. The answers are generally correct, but the response style is much less suitable for our users. Has anyone experienced the same issue when moving from GPT-4o to GPT-5.1? Did you solve it through: a redesigned system prompt; few-shot examples; verbosity or reasoning parameters; an output validator; a second rewriting pass; structured outputs; a regression test set based on previous GPT-4o responses? We do not expect identical outputs, but we would like to preserve GPT-4o’s concision, natural tone, lack of unnecessary tables, and grounding in the retrieved context. I would be very interested in hearing about real production migrations and what worked for you. submitted by /u/IncreaseLocal2574 [link] [comments]

Hello, We have been using mailchannels for a while now. Also using Mail.Baby for few other setup. For mailchannels, we mainly use it for few demanding clients (including our own domain) where email delivery is of high importance (Very small email volume). Everything has been working so far. We have not done any changes (all SPF/DKIM/ etc is setup) Lately, mailchannels is marking every other "legit" email as spam. (For no good reason). I noticed it few weeks ago, and even today, when sending few invoices, my own email is being rejected as "Spam". Their "Mark Not Spam" is doing nothing.. I am wondering what else is out there (other than Mail.Baby, which I know most users here are using). We are not using mass email or bulk email etc. The emails are being sent from our own hosted mail server (with mailchannels as SMTP relay) Currently have less than 20 domains on that server. (Email volume is pretty damn low) Thanks

I've been a developer for a few decades now, almost always in a DevOps kind of role, and every once in a while I have stumbled over this issue and never found a solution that sits well with me. As a DevOps guy, I both write and maintain the code, as well as being partly responsible for the operations and the data of the system. In our case the core of the system is a CMS, but it could be a DMS, CRM, IAM etc etc. And on occation we have a need to do some bulk operation on the data, in a way that has not been done before, and can't be done easily using some UI. If there will be a repeated need for that kind of bulk job then we will likely integrate it fully into the code, and have a user friendly interface for it. But what about more one off kind of tasks? Tasks that require coding, but that likely won't be needed again in the foreseeable future. The last time it happened to me, this was roughly the task at hand: Identify all objects in the system with properties X, Y and (Z1 or Z2) within section S1. Move them all from section S1 to section S2. For each object, update property X to a calculated new value. It is possible to do this manually in the regular GUI for the CMS. But that's not feasable when there are several hundreds of objects matching the criteria. Especially not when it's fairly trivial to write code that does the bulk job. But after the job has been run (first in dev/test/stage, and then in production), what should happen with that code? Just deleting it feels wrong, since it can be useful for some developer in the future. But letting it live among the regular code of the project seems odd to. Not only am I not sure where exactly in the code base it should live, but in what form? An own class with a main method that does this? Or in a method that has no code pointing to it? Or commented out? Or it could live in some Wiki, I guess. But unless the people involved in the project uses the wiki often, code snippets there are likely to be forgotten about the next time some bulk job needs to be done. I have seen various documentation projects shrivel up and die after a few months because people don't work in them regularly and then tend to forget they even exist. How do you guys handle this? In my case, the code usually ended up in a text file on my own computer, since it has involving project with me as the main developer and the guy who did all these kind of tasks. But it doesn't seem very future proof. submitted by /u/VirtualAgentsAreDumb [link] [comments]

Cs grad (fresher) from tier 3 college, got a role at a reputed hft but not so good, want to switch to a system engineer role in about 1.5-2 yrs but couldn't decide if they prefer iit grads. If there is a chance then what's the best material available online. Also have experience of backend engineering. Prev posted to systems engineering sub, was told this sub is better for the above query submitted by /u/monitor1413 [link] [comments]

Stuck in an M365 loop. An external admin set my B2B guest account to "Block sign-in" (I no longer work with them). The organization is now a permanent zombie in my M365 profile backend. The Problem I cannot leave the organization myself Login fails instantly because my account is blocked Clearing browser data doesn't fix it; the entry just resyncs from the cloud My Question If I contact their IT: Is it enough if the external admin simply DELETES my guest object from their Entra ID? Will that automatically purge the tenant from my M365 profile backend? Or am I still required to manually "leave" on my end even after they delete me (which I cannot do)? I'm really not a fan of a foreign organization being connected to my tenant like this. Even if Microsoft claims it's secure ... who actually believes that? Nevertheless, that's IMHO a major design flaw. (Note: Since I am not a native speaker, I translated/polished this post with the help of an AI.) submitted by /u/anonRexus [link] [comments]

submitted by /u/Limp-Iron [link] [comments]

Just give a star if you think this is useful for you. I find it very useful and being using for a while to debug many issues when doing SRE. submitted by /u/shadydev99 [link] [comments]

Hi Guys, I’m planning a setup with RDS for PostgreSQL as the source of truth and OpenSearch Serverless (NextGen) for search. Trying to decide whether to use an OpenSearch Ingestion pipeline to sync them, or just write to both from our own API layer. What I think I've figured out from the docs: - Ingestion OCUs (15 GiB + 2 vCPU) and Serverless OCUs (~6 GiB) are separate billing lines, no pooling between them. So, would I be charged for the OpenSearch OCUs, plus at least one additional OCU specifically for OpenSearch Ingestion. ( Could someone please confirm this? ) - OSI minimum is 1 OCU and there's no scale-to-zero, so a running pipeline is roughly €220/month regardless of throughput - NextGen removed the old 2-OCU floor, indexing and search scale independently, both drop to zero after 10 min idle What I can't figure out: Does an idle OSI pipeline keep the indexing OCUs alive? My reasoning says no, if the source DB has no changes, no bulk requests hit the collection, so after 10 minutes indexing should scale to zero. But I have no idea whether the pipeline sends background traffic (health checks, index existence checks, periodic no-op requests) that would reset the idle timer. Couldn't find this addressed anywhere. NextGen is only a couple of months old so there's not much out there yet. Thanks in advance to everyone who replies! submitted by /u/FewJob1030 [link] [comments]

My company has roughly 160 employees mostly working from home in the UK. I set up an OpenVPN service at DigitalOcean (London) for all employees to log into which has been working great. The issue we are facing from time to time, we come accross websites that are not accessible via the VPN and I have narrowed this down to the public facing IP originating from a datacenter and not a residential or business IP address, therefore being blocked due to suspician of being bot traffic. Does anyone have any ideas to get around this issue?

I have 3xui installed on a Gorillaserver in Los Angeles. Regardless of the protocol used, the YouTube app fails to play videos—showing a "playback error"—even though the YouTube website works fine. (I haven't encountered this issue with servers from other providers, and I have years of experience using 3xui.)

I've been trying to understand what actually happens during production incidents, and something doesn't add up in my head. Let's say I'm on call and I get paged at 2 AM because "checkout is broken." We already have tools like Grafana, Datadog, Splunk, OpenTelemetry, PagerDuty, Kubernetes dashboards, cloud monitoring, CI/CD history, Git, runbooks... basically a ton of observability and operational tools. So where does the time actually go? Is it because the information is spread across too many places? Is it understanding what changed? Figuring out the blast radius? Knowing which team or dependency is actually responsible? Or is there something I'm completely missing? Reading incident postmortems, it feels like engineers already have lots of data, but they still spend a long time piecing together what actually happened before they can confidently act. For those of you who've been on call, what makes that first 15–30 minutes difficult, even with all these tools available? I'm genuinely trying to understand what I'm missing as a student because from the outside it feels like we already have a tool for everything, yet companies still spend hours resolving some incidents. submitted by /u/No_Comfortable9746 [link] [comments]

Genuine question for the sub: for your internal helpdesk (IT, HR, facilities — not customer-facing support), are you still on a per-agent SaaS plan, and does that pricing model actually make sense for how you use it? We went through this recently. Most of the well-known ticketing tools charge per agent per month, which is fine for a customer support team justifying the spend against revenue, but feels off for an internal tool where "how many of our own employees can touch the ticket queue" shouldn't be the billing metric. It also means every time IT grows headcount, tooling cost grows with it — for a tool that isn't generating revenue. We ended up building/adopting something self-hosted that plugs into Entra ID (Azure AD) for SSO and directory sync, so new hires in the right AD group get access automatically and offboarding is one action in Azure AD instead of a separate step in a separate admin panel. Licensed per install, not per agent, so it doesn't get more expensive as the internal team grows. Not trying to turn this into a product post — mainly curious how others are handling internal ticketing cost/access, and whether per-agent pricing has ever actually been a blocker for you the way it was for us. Happy to share more details on what we built in the comments if useful, since it happens to be relevant here (full disclosure: I'm the one who built it). submitted by /u/AwayLaw6220 [link] [comments]

Hi everyone, I'm an MCA graduate (2025) from a Tier 3 college in Maharashtra(Pune). I had worked 1 yrs into Infrastructure Support before enrolling for masters. During my MCA, I also did 2 DevOps internships, and my goal has always been to build a career in DevOps. Since February, I've been applying for DevOps roles almost every day, tailoring my resume, working on my interview prep, and trying to improve my skills. Unfortunately, I haven't had much success so far, and it's honestly starting to feel a bit discouraging. My current skills include: \- Linux \- Networking \- AWS & Azure \- Terraform \- Docker \- Kubernetes \- Jenkins \- GitHub Actions \- Prometheus & Grafana At this point, I feel like I have two choices: \- Keep searching for a full-time DevOps role. \- Reach out to my previous employer and continue working in Infrastructure Support. What I'm really worried about is making the wrong decision. \- If I keep searching and still don't get a DevOps job after a few more months/years, what would you recommend? \- If I go back to Infrastructure Support, will it become much harder to switch into DevOps later? \- Has anyone here made the transition from Infrastructure Support to DevOps after a year or two? If yes, what helped you make that move? I'd really appreciate hearing from people who've been in a similar situation or anyone currently working in DevOps. Also if anyone has any opportunities for DevOps,SRE,Linux,cloud support or even NOC please help me out as I just want a start my career. Thanks! submitted by /u/PA1N-T_T [link] [comments]

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Hey r/devops , welcome to our weekly self-promotion thread! Feel free to use this thread to promote any projects, ideas, or any repos you're wanting to share. Please keep in mind that we ask you to stay friendly, civil, and adhere to the subreddit rules! submitted by /u/AutoModerator [link] [comments]

submitted by /u/Administrative_Fan12 [link] [comments]

Got email from them: Dear Valued Customer, We hope you are doing well. We would like to inform you of an important update regarding our service pricing. Over the past several months, we have worked hard to absorb the significant increases in hardware costs, particularly the continued rise in RAM prices, as well as recent increases in colocation charges from our data center providers. Despite our best efforts to maintain our existing pricing, these rising infrastructure costs have made it necessary for us to review our pricing. As a result, updated pricing for eligible services will take effect on 15th August and will be reflected in your subsequent invoice. Please Note: This pricing update applies only to heavily discounted services and promotional offers. If your service is already billed at our standard pricing, you can safely ignore this email, as no changes will be made to your current plan. This decision was not made lightly. We have done everything possible to keep our prices unchanged for as long as we could, but the continued increase in infrastructure costs has made this adjustment unavoidable. We sincerely appreciate your understanding and thank you for your continued trust and support. We remain committed to providing reliable, high-performance hosting services and excellent customer support. If you have any questions regarding this update, please feel free to contact our support team. Kind Regards, Billing Department KhanWebHost

We manage multiple Entra tenants for different clients. Common pattern: regional auth issues or MFA problems lead to temporary conditional access bypasses. Someone creates them under pressure, gives them a terrible name, and nobody ever looks at them again. Six months later the client's security team asks for a posture report. We are digging through policies that feel like archaeological layers of old incidents. Some are still needed. Some were workarounds for bugs that got fixed ages ago. Some nobody remembers at all. Do any of you keep a centralized register of these exceptions per client and review it on a schedule, or do you just deal with it when an audit forces the conversation? submitted by /u/Sad-oumemaEffort-725 [link] [comments]

I haven't use AWS Bedrock. I just started hearing it last week from another team. They're also new to it. I would like to add a feature to a web application I wrote that displays logs. When there's an error, I usually google the error or nowadays, we paste it on copilot, claude or chatgpt. I'd like to add a button by the error log which when I click it, it will send the error log to an AI model in AWS Bedrock then respond back that I can display the solution on the webpage. Is that possible or am I missing a component? Thank you in advance! submitted by /u/Oxffff0000 [link] [comments]