Operations | Monitoring | ITSM | DevOps | Cloud

Some of the earliest memories of my career involve getting spammed by hundreds of emails from monitoring systems. After managing to find an issue, I’d scroll through endless logs trying to find obscure bugs that are impossible to recreate. I’m sure you’ve been there. I’ve spent many hours, days, and even weeks pressing “Page Down” on my keyboard trying to find a clue pointing me toward the root cause. I’m here to tell you: there’s a better way.

We are pleased to announce the general availability (GA) of Elastic 7.11. 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. This release enables customers to optimize for cost, performance, insight, and flexibility with the general availability of searchable snapshots and the beta of schema on read.

We are thrilled to announce the general availability of alerting in the Elastic Stack with the release of 7.11. With deep integrations throughout our products and solutions, a laser focus on distinguishing signal from noise, and tie-ins to the third-party platforms you depend on like email, PagerDuty, ServiceNow, and Microsoft Teams, building, using, and acting on alerts in Elastic has never been more powerful.

The past twelve months have pushed many communication service providers (CSPs) to the limit. According to financial reports of the last six months, the New Normal brought about by the pandemic has significantly increased network expansion efforts, IoT connections, new broadband customers, and out of bundle voice traffic and mobile data.

Marc Hornbeek is a DevOps consultant, author and advisor who playfully calls himself “DevOps the Gray” due to his 40-plus years of work in software development. We spoke with him about the convergence of IT operations and DevOps and what it means for the IT organization.

Here at Splunk we’re passionate about helping our customers get as much value from their data as possible. Recently Lila Fridley has written about how to select the best workflow for applying machine learning and Vinay Sridhar has provided an example of anomaly detection in SMLE.