Gregor Hohpe’s Post

Handling static data in today's cloud-based, microservice-driven world presents unique challenges. Here's a concise guide to efficiently manage static data in serverless environments. https://lnkd.in/gNCD5Dz6

When you move from monolithic to distributed systems observability becomes a non-negotiable requirement. Without correlation you aren’t able to trace the path of any action and reliance on logs immediately falls short. This problem has been there for a long time and the way most of us have addressed it is using some proprietary APM system. I had previously enjoyed using DataDog without realising the impact on our overall infrastructure cost. While DataDog has become a poster child for charging you dry; another problem you face with proprietary APMs is their interoperability or lack thereof. Each of them works in a very different way and you need to allocate significant chunk of developer resources to transition from one APM to another. Luckily things have started to change with the broader adoption of OpenTelemetry and it has led to a significant growth in the number of available observability platforms. To switch between these platforms you just need to update the OTLP endpoint and you would be pushing your data to a completely different system. I have had a similar experience this year. While I started with SigNoz I didn’t realise the potential of OpenTelemetry and used it primarily for logging and infra monitoring. Things clicked when I switch to NewRelic using their proprietary APM. While it initially helped, NewRelic costs didn’t make sense for our use case, particularly how they charge for each user. At this point I realised the labour of ripping out all the NewRelic references peppered through all our codebases. Since then I have switched back to OpenTelemetry and have been able to try out tens of different platforms without spending more than five minutes to switch between them. Investing in understanding the fundamentals OpenTelemetry has paid off and I keep receiving dividends. Adding to all this experience this year I got an opportunity to appear for the beta release of the The Linux Foundation OTCA: OpenTelemetry Certified Associate exam. I went through the documentation especially the internals and appeared for the exam last week. It was pretty intense as the number of questions was more than twice the amount you would have to answer once the exam is publicly available early next year. Starting this year oblivious I have turned into a huge OpenTelemetry advocate #o11y #observability #otel #distsys #microservices #cncf

We've got that (Data)dog in us. 🐶 See how #OCI and Datadog customers can export observability metrics, logs, and traces from OCI to Datadog for a unified view of their infrastructure, including multi-cloud and hybrid environments. https://lnkd.in/eMJ65tpk

🚗 Learn how companies like Mercedes-Benz and JetBlue leverage #AzureCosmosDB to scale their services and meet customer demand. Watch now: https://lnkd.in/eT-kWzpP 🔧

The convergence (collision) of IT infrastructure in the new cloud/AI world is a headache for Ops teams. UBiqube are simplifying complexity and delivering agility at scale.

There are too many books and articles out there that make #SLOs seem easy. The reality is that they're easy to make, but really difficult to get correct. Join our webinar with Datadog on Jan 29th where we'll tell you what we’ve done wrong so you don't have to, and how to implement practical SLOs within the #Datadog platform. Topics include: ✔️What IS an SLO? ✔️You can't boil the ocean ✔️Expectations, The Business :tm: , and Heartbreak ✔️SLOs for the greater good So if you want to implement SLOs but don't know where to start, this session is for you. 👉 Sign up https://lnkd.in/eeajEZcr #observability #datadogpartner #nobstech #nobs

Get ready to elevate your data validation strategy with this insightful session at #TestMuConf 2024 🔗 bit.ly/testmu_2024 Hear Manoj Kumar Anand, Quality Assurance Engineer, and Pranavi Prasad, Quality Assurance Manager from Amazon Web Services (AWS), as they delve into the complexities of data validation and introduce a groundbreaking framework designed for file-based target systems. 🗓️ August 21 - 23, 2024 | 🧑💻 Free Virtual Conference #TestμConference #Conference #SoftwareTesting #TestAutomation

If you are attending re:Inforce 2024, join us in a hands-on workshop (DAP471) where we discuss different architectural patterns in protecting highly-sensitive data (user prompts, contextual data), LLM/FM model weights using AWS Confidential computing services. Arvind Raghu, Sudhir Reddy Maddulapally, Art Baudo

Our Let’s Encrypt SRE technical lead, Matthew McPherrin, led a great session at the transparency.dev Summit today! In it he discussed Certificate Transparency, including our experience both as a submitter to CT and a log operator. He also covered why our new #Sunlight log implementation is a good fit not only for us, but also the larger CT ecosystem. Want a refresh on Sunlight? Check out this blog post introducing the new CT log back in March of this year: https://lnkd.in/gQXtSmR7 #CertificateTransparency #CTlogs #TransparencyDevSummit

On This Month in Datadog, we’re recapping DASH 2024. Tune in for keynote highlights, including LLM Observability, Kubernetes Autoscaling, and Log Workspaces, which enables you to parse, enrich, and analyze log data from multiple sources. Watch now: