Datadog is a powerful observability platform. However, unlocking it’s full potential while managing costs necessitates more than just utilizing its platform, no matter how powerful it may be. It requires a strategic approach to data management. Enter telemetry pipelines, a key to elevating your Datadog experience. Telemetry pipelines offer a toolkit to achieve the essential steps for maximizing the value of your observability investment. The Mezmo Telemetry Pipeline is a great example of such.

How machine learning in AppDynamics Cloud accelerates log analysis and reduces mean time to detect. Site recovery engineers (SREs) need to investigate unknown problems reported in production. The common approach is to search and filter log files to find the root cause, and we all know how painful it is to sift through log contents. It’s like finding a needle in a haystack. A machine learning approach is essential to assist SREs to quickly identify the root cause.

Platform engineering is the practice of automating infrastructure operations and enabling self-service infrastructure capabilities within collaborative Dev, Ops and QA teams. It involves designing and building platforms, technologies and workflows that enable self-service capabilities to automatically manage, provision and operate complex modern software architecture environments.

The blog will take you through best practices to observe Kafka-based solutions implemented on Confluent Cloud with Elastic Observability. (To monitor Kafka brokers that are not in Confluent Cloud, I recommend checking out this blog.) We will instrument Kafka applications with Elastic APM, use the Confluent Cloud metrics endpoint to get data about brokers, and pull it all together with a unified Kafka and Confluent Cloud monitoring dashboard in Elastic Observability.

If you’re in need of new SIEM tooling, it can be more complicated than ever to separate what’s real and what’s spin. Yes, Logz.io is a SIEM vendor. But we have people in our organization with years of cybersecurity experience, and they wanted to share thoughts on how best to address the current market. Our own Matt Hines and Eric Thomas recently hosted a webinar running through what to look out for titled: Keep it SIEM-ple: Debunking Vendor Nonsense. Watch the replay below.

There is value in the machine data (logs and events) from your infrastructure and applications. However, storing and analyzing that data to extract that value can be a big (and expensive) undertaking for organizations. With log analytics, companies like yours can better understand your log data and take action to improve reliability and increase security. Log files are produced by applications, operating systems, networks and other components of a technology stack.

Log management is the processes and tools that your DevSecOps team use to collect, store and manage log data. As they constantly assess your applications and systems for performance, log analytics comes into play to improve the efficiency and effectiveness of an organization, identify and troubleshoot problems, and monitor the health and performance of system. Looking for a proactive approach to find issues, bugs and threats? Interested in surfacing your business and user adoption insights?

I know you’re here to talk money, and I’ll get to pricing in just a moment, I promise! Let’s first look at how we ended up in a situation where log analytics is increasingly important to help set the stage for why transparent pricing is so vital in this arena.

Elastic Observability 8.7 introduces new capabilities that drive efficiency into the management and use of synthetic monitoring and expand visibility into serverless applications and Kubernetes deployments. These new features allow customers to: Observability 8.7 is available now on Elastic Cloud — the only hosted Elasticsearch offering to include all of the new features in this latest release.

KubeCon Europe 2023 will be held in Amsterdam in April, with many exciting updates and discussions to come around projects from the Cloud Native Computing Foundation (CNCF). That’s why I was thrilled to host Chris Aniszczyk, the CTO of the CNCF on the March 2023 episode of OpenObservability Talks. We had a wide-ranging, free-flowing conversation that touched on all things cloud native, observability and the future of our space.