ChatOps integration with Dynatrace and Telegram or Google Chat

The article discusses ChatOps integration with Dynatrace and messaging platforms like Telegram and Google Chat. ChatOps combines chat and operations to streamline IT operations and improve collaboration, efficiency, and automation. The article provides step-by-step instructions for integrating Dynatrace with messaging platforms and offers information on ChatBots and good ChatOps tools. Dynatrace offers a platform for observability and security and provides integration services to automate DevOps through ChatOps solutions. The website uses cookies to personalize the web experience, and users can configure their browser to block or alert the presence of these cookies. #ChatOps #Dynatrace #Telegram #GoogleChat #softcorpremium

The top seven Kubernetes challenges

This post explores the benefits and challenges of Kubernetes as an open-source container orchestration platform for managing, automating, and scaling containerized applications. It highlights the seven top Kubernetes challenges that engineering teams face, and how a cloud-native observability and security platform can help overcome them. Kubernetes offers the following benefits: containerized microservices, ease of deployment, and effective management of distributed environments at scale. Kubernetes is the de facto industry standard, and is widely used by organizations to optimize the allocation of compute resources across all Kubernetes containerized workloads in deployment. #Kubernetes #DevOps #containerorchestration #softcorpremium

Get the insights you need for your F5 BIG-IP LTM

The blog post discusses the importance of monitoring F5 BIG-IP load balancers and the popularity of the Dynatrace F5 extension. The F5 BIG-IP LTM is an application delivery controller that ensures the availability, security, and optimal performance of network traffic flows. Monitoring F5 BIG-IP instances is crucial to ensure smooth operation and optimize application delivery. The Dynatrace extension for F5 BIG-IP monitoring has proven to be a successful solution for enhancing monitoring capabilities. The blog post also discusses the integration with SNMP Traps, the F5 BIG-IP LTM dashboard, and the need for Dynatrace if using the BIG-IQ framework. #F5 #Dynatrace #loadbalancers #softcorpremium

Unlocking end-to-end observability: Cisco's game-changing solution - Application Performance Monitoring Blog | AppDynamics

Cisco's Full-Stack Observability is a scalable platform that offers full-stack visibility, insights, and action for IT teams, security teams, and business leaders to connect the dots between functionality and tangible business outcomes. The solution connects real-time telemetry across multiple domains, breaking down silos, and bringing together IT, security, and business leaders to deliver digital experience monitoring, hybrid cost/workload optimization, and application security. #observability #applicationmonitoring #security #softcorpremium

General availability: New KQL function to enrich your data analysis with geographic context | Azure updates | Microsoft Azure

KQL introduces a new function called geo_info_from_ip_address() to retrieve geolocation information about IPv4 or IPv6 addresses using GeoLite2 data by MaxMind. This function can be used to identify the origin of network traffic, the location of users or devices, or the distribution of events across regions. #KQL #geolocation #softcorpremium

Automated workflows can help reduce engineering toil

Dynatrace's automated workflows can help organizations reduce engineering toil by providing a unified view of their full stack, which is only possible at multicloud scale with AI. Manual processes make it impossible for teams to keep pace with modern app complexity, and without automated workflows, IT professionals are finding it difficult to monitor, manage, secure, and troubleshoot applications at scale. Dynatrace's automated workflows offer graphical workflows, targeted actions, specific event triggers, and customized schedules to help teams move beyond application monitoring and event understanding and to take targeted action. #automation #multicloud #softcorpremium

Dynatrace adds monitoring support for Microsoft AKS deployments

Dynatrace has collaborated with Microsoft to provide deep monitoring support for Azure Linux as a container host operating system (OS) platform for Azure Kubernetes Services (AKS). Azure Linux is a lightweight container host operating system (OS) designed by Microsoft for internal use, and now available for AKS and AKS-HCI. Dynatrace's AI-powered observability for clusters, pods, and microservices, and the intuitive view on Kubernetes node utilization enables customers to operate efficiently and innovate faster. #AzureLinux #Dynatrace #AKS #softcorpremium

Datadog's New Capabilities Help Azure Organizations Manage Costs, Migrate to the Cloud and Monitor AI Models | Datadog

Datadog's new capabilities help Azure organizations manage costs, migrate to the cloud and monitor AI models. The post highlights Datadog's product infrastructure, cost management, observability, and security capabilities. It lists the use-cases for cloud migration monitoring, consolidation, and hybrid cloud monitoring. It also mentions Datadog's solutions for industries like financial services, manufacturing, healthcare, retail, and education. The post ends with a list of product capabilities, including continuous testing, error tracking, and incident management. #Azure #cloudmigration #AImonitoring #softcorpremium

Datadog Extends Cloud Cost Management Capabilities With Container Cost Allocation, Cost Monitors and Support for Microsoft Azure | Datadog

Datadog has extended its cloud cost management capabilities by introducing container cost allocation, cost monitors and support for Microsoft Azure. The company has also announced the general availability of its Workflow Automation solution. Datadog's cloud cost management platform provides customers with visibility into their cloud spend across different cloud providers such as Amazon Web Services, Google Cloud Platform, and Microsoft Azure. #Cloud #MicrosoftAzure #Container #softcorpremium

Datadog Launches Workflow Automation for Faster Remediation of Application Issues | Datadog

Datadog has launched Workflow Automation, a product that enables teams to automate end-to-end remediation processes across all systems, apps and services to help identify, investigate and resolve service disruptions and security threats faster. The product combines alerts and remediation in a single, streamlined solution, providing developers and security engineers end-to-end visibility across the tech stack so that teams are alerted to disruptions as they arise. Over 300 out-of-the-box actions and more than 40 pre-built templates enable users to easily automate routine response tasks and complex end-to-end processes to save engineers time, eliminate human error and reduce overhead. #WorkflowAutomation #Remediation #ApplicationIssues #softcorpremium

OpenShift vs. Kubernetes

This blog post discusses the differences between OpenShift and Kubernetes, two widely used container orchestration tools for managing containerized apps at scale. It provides a guide to container orchestration software, explains the benefits and drawbacks of both tools, and gives a lesson in terminology: Kubernetes namespace vs. OpenShift project. The post also explores which container orchestration software is right for you and highlights automatic and intelligent observability for OpenShift and Kubernetes. #OpenShift #Kubernetes #softcorpremium

Detect Anomalies In Our AWS Infrastructure – bytewax

This blog post discusses the process of building a cloud-based anomaly detection system using Bytewax, Redpanda, and Amazon Web Services (AWS) to monitor the infrastructure for issues. The post walks through the steps to collect usage data from AWS CloudWatch using Logstash and store it using Redpanda, a Kafka-compatible streaming data platform. Finally, Bytewax, a Python stream processor, is used to build the anomaly detection system. The infrastructure used in this setup has been unchanged for months and can be replicated easily. #AWS #anomalydetection #Kafka #Python #softcorpremium

Is DevOps dead? Exploring the future of DevOps

The post explores the evolution of DevOps in the digital transformation era and how organizations can adapt to the changing landscape. It highlights the challenges of tool sprawl and data proliferation, and suggests ways for organizations to streamline successful software delivery. #DevOps #digitaltransformation #softcorpremium

Datadog Extends Cloud Cost Management Capabilities With Container Cost Allocation, Cost Monitors and Support for Microsoft Azure | Datadog

Datadog has announced new capabilities for its Cloud Cost Management product, including container cost allocation, cost monitors, and support for Microsoft Azure. The product shows an organization’s granular cost data, scoped to specific services, so that engineers can optimize cloud spend and performance. With granular alerting and visibility into containers and Azure environments, Datadog Cloud Cost Management provides the relevant observability and cost data that engineers need, in the platform they already use every day, to empower them to reduce waste and avoid unexpected cost overages. #datadogcostmanagement #cloudoptimization #azurecosts #softcorpremium

Boost DevOps maturity with observability and a data lakehouse

The article discusses how data scale and silos can hinder DevOps maturity, and how combining data lakes and warehouses with observability data can promote DevOps maturity and accelerate growth. DevOps teams are facing challenges due to the growing volumes of data, which makes it difficult to process and analyze for insights. The high amount of data generated by cloud-native apps using Kubernetes can overwhelm traditional databases, leading teams to rely on cloud-based data lakes. A data lakehouse approach combining the capabilities of a data warehouse and a data lake can address these challenges with scalability and parallel processing. Access to real-time topology map data and observability analytics platforms can help DevOps and DevSecOps teams automate processes, build security into software delivery, and quickly detect and remediate security incidents. A data lakehouse-based approach can turn large amounts of data into actionable intelligence without disrupting operations. #DevOpsMaturity #DataLakehouseApproach #ObservabilityAnalytics #softcorpremium

Administer Your Splunk Cloud Stacks Easily and Efficiently with ACS Helper for Splunk | Splunk

Splunk Cloud administrators can easily manage their Splunk Cloud Stacks with ACS Helper for Splunk, which adds a simple and user-friendly graphical interface to make ACS features easier to access, use and hide all that complexity. #Splunk #API #softcorpremium