Operations | Monitoring | ITSM | DevOps | Cloud

As organizations migrate to Elastic from incumbent vendors, quickly onboarding log data from their current solution into Elastic is one of the first orders of business. Data onboarding often involves having to adjust ingestion architecture and implement configuration changes across data sources. We want to ensure that users trialing or migrating to Elastic can get data in quickly to start seeing the power of Elastic solutions as quickly as possible.

Our Kibana team has been hard at work implementing and executing on a new Kibana strategic vision to streamline the dashboard creation process and sand down the rough edges of creating visualizations for dashboards. We accomplished our goal and reduced the overall time it takes users to go from a blank slate to a meaningful dashboard that conveys insights about the data.

How much is your company losing by reacting to problems after they’ve had a negative impact on your bottom line? How many customers churn in the time it takes you to notice complaints to your call center? Proactive business monitoring allows you to detect incidents before they have a negative impact on your company’s revenue and reputation.

The phrase ‘stakeholder management” assumes that stakeholders are truly informed by alerts. However, managers can only send communications out, they cannot force people to address them. To ensure your stakeholders are engaged during an incident, it is vital to set up a defined communication process. Yet, a recent Red Canary report1 found that 43% of surveyed participants lack readiness to notify the public and/or its customers in the event of a security breach.

For today’s businesses, there’s a premium on delivering innovative user experiences. As a result, stakes continue to grow for the teams in charge of supporting new digital experiences. To successfully implement modern delivery chains, IT operations need to establish comprehensive coverage that delivers unified visibility of the entire enterprise ecosystem. They need observability that spans from mobile applications to networks and mainframes.

To say that the past year presented its fair share of cybersecurity challenges to the InfoSec community would be a drastic understatement. The rapid migration to remote work at scale left 80% of CIOs unprepared, and SecOps teams struggled to confront the evolving threat landscape with disparate toolkits and skill sets. Not to mention that as more organizations shifted to hybrid and multi-cloud environments at scale, cloud complexity (and cloud-based threats) skyrocketed.

We at Splunk know that data drives better decisions. We see this with customers, and we live it every day in our own operations within Splunk. Running large cloud services across multiple cloud providers, we have to manage data policies and data processing needs against an increasing set of use cases, as well as the backdrop of regulatory, privacy and security frameworks.

SREs, developers and DevOps staff for mission-critical modern apps know being notified in real-time when or before critical conditions occur can make a massive difference in end-user digital experiences and in meeting a 99.99% availability objective.

For DevOps teams that want to accelerate release velocity and improve reliability, logs can unlock the insights you need to move faster. But for managers and budget owners, logging can be an unpredictable pain. Trying to estimate logging spend, especially with the adoption of microservices and container-based architecture, seems like an impossible task.

The LogDNA Agent is a powerful way for developers and SREs to aggregate logs from their many applications and services into an easy-to-use web interface. With only 3 kubectl commands, the installation process is quick and simple to complete for any number of connected systems. To help control the logs that are stored and surfaced in the LogDNA web interface, users can set Exclusion Rules, which enables the exclusion of certain queries, hosts, and tags directly from the UI.