The latest News and Information on Log Management, Log Analytics and related technologies.
Even if an organization has developed a governance team, aligning integration decisions with business needs must be incorporated into the zero trust architecture. The company’s business model drives the applications chosen. The senior leadership team needs someone who can translate technology risks and apply them to business risks. For example, security might be an organization’s differentiator.
Moving beyond traditional monitoring to embrace full stack observability offers a seemingly endless range of benefits. Beyond unifying logs, metrics, and traces in a single platform, the opportunity to enlist advanced analytics and engage a more predictive approach represents another huge step forward.
In today’s cloud environments, a typical observability stack might include an Elasticsearch cluster for logging, a few Prometheus servers for metrics monitoring, and an AppDynamics deployment for APM. You may run something similar – most observability stacks consist of multiple siloed tools dedicated to collecting and analyzing specific types of monitoring data.
Today was a very exciting day for Logz.io, as we held ScaleUP 2021 – our second annual user conference – dedicated to elevating our customers’ success, discussing best practices for modern observability, and unveiling Logz.io’s latest product updates. These product advancements were presented by our Co-Founder and VP of Product Asaf Yigal, and members of the Logz.io software engineering team.
Tucker Callaway is the CEO of LogDNA. He has more than 20 years of experience in enterprise software with an emphasis on developer and DevOps tools. Tucker fosters a DevOps culture at LogDNA by tying technical projects to business outcomes, practicing extreme transparency, and empowering every person in the company to contribute.
As Logz.io prepares to hold its annual ScaleUP user conference tomorrow, celebrating another amazing year of customer success and continued advancement of our observability platform, we’ve got exciting news to share about our involvement with the OpenSearch project.
Stanza is a robust log agent. GCP users can use Stanza for ingesting large volumes of log data. Before we dive into the configuration steps, here’s a matrix detailing the functional differences between all the common log agents used by GCP users. Stanza was built as a modernized version of FluentD, Fluentbit, and Logstash. GCP users now have the ability to install Stanza to their VMs/ GKE clusters to ingest logs and route them to GCP log explorer.
Ask any DevOps engineer, and they will tell you about all the alerts they enable so they can stay informed about their code. These alerts are the first line of defense in the fight for Perfect Uptime SLA. With every good solution out there, you can find plenty of methods for alerting and monitoring events in the code. Each method has its own reasons and logic for how it works and why it’s the best option. But what can you do when you need to connect two opposing methodologies? You innovate!
We're a small team of engineers right now, but each engineer has experience working at companies who invested heavily in observability. While we can't afford months of time dedicated to our tooling, we want to come as close as possible to what we know is good, while running as little as we can- ideally buying, not building. Even with these constraints, we've been surprised at just how good we've managed to get our setup.
