Operations | Monitoring | ITSM | DevOps | Cloud

Login Message & Layout Customization Improvements in Jira Service Management

Nov 2, 2021 By Atlassian In Atlassian
We’ve made two simple, but important improvements to the Jira Service Management portal experience. This video introduces the ability to configure a custom login welcome message and customize home page layout, including the ability to select featured service projects. Driven by the desire to continually improve the customer experience and enhance guidance within the portal, these enhancements enable customers to easily get access, and find the help they need fast.
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sentry

Change Happens - Get Alerted

Nov 2, 2021 By Kathy Lam In Sentry

To give you enough notice to fix an issue before it escalates, we’re evolving our alerts and making them more proactive with Change and Crash Rate Alerts. So when your application experiences a change from the norm or a dip in crash-free sessions, Sentry will (smartly) alert you via Slack, Teams, PagerDuty, or old-fashioned email.

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Spark Performance Management Optimization Best Practices | Pepperdata

Nov 2, 2021 By Pepperdata In Pepperdata
Gain the knowledge of Spark veteran Alex Pierce on how to manage the challenges of maintaining the performance and usability of your Spark jobs. Apache Spark provides sophisticated ways for enterprises to leverage big data compared to Hadoop. However, the increasing amount of data being analyzed and processed through the framework is massive and continues to push the boundaries of the engine.
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How to Optimize Spark Enterprise Application Performance | Pepperdata

Nov 2, 2021 By Pepperdata In Pepperdata
Does your big data analytics platform provide you with the Spark recommendations you need to optimize your application performance and improve your own skillset? Explore how you can use Spark recommendations to untangle the complexity of your Spark applications, reduce waste and cost, and enhance your own knowledge of Spark best practices. Topics include: Join Product Manager Heidi Carson and Field Engineer Alex Pierce from Pepperdata to gain real-world experience with a variety of Spark recommendations, and participate in the Q and A that follows.
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How to Maximize the Value Of Your Big Data Analytics Stack Investment

Nov 2, 2021 By Pepperdata In Pepperdata
Big data analytics performance management is a competitive differentiator and a priority for data-driven companies. However, optimizing IT costs while guaranteeing performance and reliability in distributed systems is difficult. The complexity of distributed systems makes it critically important to have unified visibility into the entire stack. This webinar discusses how to maximize the business value of your big data analytics stack investment and achieve ROI while reducing expenses. Learn how to.
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How DevOps Can Reduce the Runaway Waste and Cost of Autoscaling

Nov 2, 2021 By Pepperdata In Pepperdata
Autoscaling is the process of automatically increasing or decreasing the computational resources delivered to a cloud workload based on need. This typically means adding or reducing active servers (instances) that are leveraged against your workload within an infrastructure.
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Learn How to Simplify Kubernetes Performance Management | Pepperdata

Nov 2, 2021 By Pepperdata In Pepperdata
Complex applications running on Kubernetes scale super fast, but this can create visibility gaps that can make detecting and troubleshooting Kubernetes issues as difficult as finding a needle in a haystack. Although Docker and Kubernetes are now becoming standard components when building and orchestrating applications, you’re still responsible for managing the performance of applications built atop this new stack.
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Big Data Performance Management Solution Top Considerations

Nov 2, 2021 By Pepperdata In Pepperdata
The growing adoption of Hadoop and Spark has increased demand for Big Data and Performance Management solutions that operate at scale. However, enterprise organizations quickly realize that scaling from pilot projects to large-scale production clusters involves a steep learning curve. Despite progress, DevOps teams still struggle with multi-tenancy, cluster performance, and workflow monitoring. This webinar discusses the top considerations when choosing a big data performance management solution.
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meshiq

What can you learn from IoT with i2M - Part 2

Nov 2, 2021 By David Liff In meshIQ

In the first part, I outlined some of the terms associated with the delivery of IoT. Next, let’s look at how this gets complex. You will need to read the state of each sensor (through their appropriate API and through their appropriate vendor-supplied hub), create logic to determine what actions must be taken when certain conditions are met, and then deliver these as a workflow to each responder, and confirm through data collected from sensors that the requested change was implemented.

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