Operations | Monitoring | ITSM | DevOps | Cloud

According to Insight Partners, the AIOps platform market size is expected to grow from $2.83 billion in 2021 to $19.92 billion by 2028 at a compounded annual growth rate of 32.2%. This skyrocketing growth is fueled by the pace of the IT data deluge getting out of the human hand and the need for resource optimization. Every organization is increasingly producing more IT data, whether in a siloed or unified form.

The last few years have thrown about everything they could at the status quo. Shifting climates, political instability, and a global pandemic have all contributed to a broad host of network device supply chain issues. Consumers all over the globe are still affected by computer chip shortages and many other items delayed by supply chain issues. And it’s not expected to end anytime soon.

SIGNL4 offers powerful duty scheduling and time-based overrides for routing alerts to the right people at the right time. With time-based overrides for example, you can apply different alerting workflows during business hours, weekends, holidays, etc. Holidays in general can bring other requirements for signaling and must also be considered separately when planning shifts. You can add and edit holidays manually in SIGNL4 or you can import them from iCal files.

OpenTelemetry is a set of APIs, SDKs, tooling, and integrations that are designed for the creation and management of telemetry data such as traces, metrics, and logs. One of the main components of OpenTelemetry, or OTel for short, is the OpenTelemetry Collector. The OpenTelemetry Collector, or Otel Collector, is a vendor-agnostic proxy that can receive, process, and export telemetry data.

You might be familiar with GameDays at this point. From watching our Introduction to GameDay webinar, viewing our Demo video, and reading our tutorial, you’ve probably learned that GameDays were created with the goal of increasing reliability by purposely creating major failures on a regular basis. Better yet, perhaps your own team has run a GameDay and learned something new about their services’ behavior during failure scenarios.

The book is done. The book is FINISHED. There will be no more writing of the book! Holy macaroni. If you think you might be sensing just a SMIDGE of relief, you wouldn’t be wrong. We started writing this book, Observability Engineering: Achieving Production Excellence, three whole years ago, in the summer of 2019. Remember that?

We are happy to announce that we launched Cloud 66 on the GitHub Marketplace. Our presence on GitHub Marketplace allows developers to deploy their code directly from their repository to their own servers on any cloud in minutes.

True reliability takes into account all of the services that exist in your software environment — which is why it can get so complicated. An ecommerce site, for example, might have services that update current inventory in near real time, process payments in the shopping cart, trigger email receipts to send, kick off fulfillment orders, etc. And if one of these services isn’t operating at its best, that can mean money — and in some cases, customers — lost for the company.