Amazon Web Services (AWS) recently announced the ability to publish VPC Flow Logs directly to Amazon Kinesis Data Firehose. For Splunk customers, this feature helps to optimize the architecture to send VPC Flow Logs directly to Splunk Enterprise or Splunk Cloud Platform. With a fully managed service like Amazon Kinesis Data Firehose, users don’t have to worry about scaling, and can optionally transform their data in near real-time and enjoy the cost-effective, reliable service.

How are you tracking the long-term operation and health indicators for your micro and macro services? Service Level Indicators (SLIs) and Service Level Objectives (SLOs) are prized (but sometimes “aspirational”) metrics for DevOps teams and ITOps analysts. Today we’ll see how we can leverage SignalFlow to put some SLOs Error Budget tracking together (or easily spin up same with Terraform)!

The 1.7 release of the Splunk App for Content Packs comes with a slew of new awesomeness for the Content Pack for ITSI Monitoring and Alerting designed to bolster your IT operations team’s visibility and AIOps posture! Previous versions of the content pack focused on making it easy for you to create and group Notable Events from ITSI Services and third-party monitoring tools.

Every day, dashboards are viewed more than 500,000 times at Splunk. They’re what make the sea of data intelligible and help tell a story when working with a team. However, constant net-new dashboard creation is not necessarily a value-add activity — it’s a workflow to rapidly turn data into doing.

We’re excited to share new Splunk capabilities to help measure how code performance impacts your services. Splunk APM’s AlwaysOn Profiling now supports.NET and Node.js applications for CPU profiling, and Java applications for memory profiling. AlwaysOn Profiling gives app developers and service owners code level visibility into resource bottlenecks by continuously profiling service performance, at minimal overhead.

As a principal engineer on the Splunk Real User Monitoring (RUM) team who is responsible for measuring and monitoring our service-level agreements (SLAs) and service-level objectives (SLOs), I depend on observability to measure, visualize and troubleshoot our services. Our key SLA is to guarantee that our services are available and accessible 99.9% of the time.

You’ve probably heard something like this before: “It’s a managed service! We don’t need to worry about anything!” But when it comes to your production workloads, database monitoring is imperative. With the new Snowflake Dashboards and Detectors in the Splunk Observability Content Contributors repository you can start seeing the details of individual Snowflakes.