Our product & dev team has been cranking out so many small, medium and big updates the last ~2 months, we thought we'd do a comprehensive sum up. Grab some coffee ☕️ and strap yourself in: the list is quite long!
The current landscape of what our customers are dealing with in monitoring and observability can be a bit of a mess. For one thing, there are varying expectations and implementations when it comes to observability data. For another, most customers have to lean on a hodgepodge of tools that might blend open source and proprietary, require extensive onboarding as team members have to learn which tools are used for what, and have a steep learning curve in general.
We are pleased to announce the general availability (GA) of Elastic 7.12. This release brings a broad set of new capabilities to our Elastic Enterprise Search, Observability, and Security solutions, which are built into the Elastic Stack — Elasticsearch and Kibana.
We’re thrilled to announce the technical preview of the frozen tier in 7.12, enabling you to completely decouple compute from storage and directly search data in object stores such as AWS S3, Microsoft Azure Storage, and Google Cloud Storage. The next major milestone in our data tier journey, the frozen tier significantly expands your data reach by storing massive amounts of data for the long haul at much lower cost while keeping it fully active and searchable.
We are proud to announce the 1.0 release of the Elastic APM PHP Agent! If you are interested in this work, please try the agent and let us know how it works for you and what features you miss! The best way to give feedback and ask questions is in our discussion forum, or if you find an issue or you would like to submit a pull request, jump to our GitHub repository. The agent is Apache-licensed, and we are more than happy to receive contributions from the community!
We are often asked what’s the difference between Anodot and Datadog. Since both platforms monitor data at scale, using machine learning to detect anomalies and incidents, the differentiation might be unclear. So we’re using the real estate here to quickly clarify what each platform is built for, and why – despite some overlaps in features – these are two fundamentally different creatures.
After we’d fixed Aparna’s network issue, James came to see me at my desk. Masks on, socially distanced and all that, but it was nice to have some face-to-face time. James is cool – that dry British humor and not your classic IT Ops dude. He’s been here forever and mentored me when the CIO, Charlie, hired me as the first SRE here a year or so ago. I lucked out really.
In the 21st century, it’s quite easy to manipulate machines and computers. Our worries are no longer if something is doable, but if something can be perfected. Therefore, we mostly search for new ideas and ways to make our work impeccable. For example, if you’re using a particular software and you realize that the software is excellent, but it could be better in some ways that would allow you to work even faster, you’ll explore the alternatives.
The term cloud native is widely used when thinking about computing and software development, encompassing a wide range of concepts that are regularly used in technology. Let’s break it down and take a closer look – what does cloud native really mean?
